Applied Econometrics

(52 Einträge)

Lecture Applied Econometrics, 1. Lesson

preview Play
Title: Lecture Applied Econometrics, 1. Lesson
Description: Vorlesung im SoSe 2020; Montag, 20. April 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-04-20
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200420_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 2. Lesson

preview Play
Title: Lecture Applied Econometrics, 2. Lesson
Description: Vorlesung im SoSe 2020; Montag, 20. April 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-04-20
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200420_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 3. Lesson

preview Play
Title: Lecture Applied Econometrics, 3. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 21. April 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-04-21
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200421_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 4. Lesson

preview Play
Title: Lecture Applied Econometrics, 4. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 21. April 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-04-21
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200421_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 5. Lesson

preview Play
Title: Lecture Applied Econometrics, 5. Lesson
Description: Vorlesung im SoSe 2020; Montag, 27. April 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-04-27
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200427_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 6. Lesson

preview Play
Title: Lecture Applied Econometrics, 6. Lesson
Description: Vorlesung im SoSe 2020; Montag, 27. April 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-04-27
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200427_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 7. Lesson

preview Play
Title: Lecture Applied Econometrics, 7. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 28. April 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-04-28
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200428_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 8. Lesson

preview Play
Title: Lecture Applied Econometrics, 8. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 28. April 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-04-28
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200428_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 9. Lesson

preview Play
Title: Lecture Applied Econometrics, 9. Lesson
Description: Vorlesung im SoSe 2020; Montag, 04. Mai 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-05-04
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200504_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 10. Lesson

preview Play
Title: Lecture Applied Econometrics, 10. Lesson
Description: Vorlesung im SoSe 2020; Montag, 04. Mai 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-05-04
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200504_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 11. Lesson

preview Play
Title: Lecture Applied Econometrics, 11. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 05. Mai 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-05-05
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200505_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 12. Lesson

preview Play
Title: Lecture Applied Econometrics, 12. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 05. Mai 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-05-05
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200505_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 13. Lesson

preview Play
Title: Lecture Applied Econometrics, 13. Lesson
Description: Vorlesung im SoSe 2020; Montag, 11. Mai 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-05-11
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200511_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 14. Lesson

preview Play
Title: Lecture Applied Econometrics, 14. Lesson
Description: Vorlesung im SoSe 2020; Montag, 11. Mai 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-05-11
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200511_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 15. Lesson

preview Play
Title: Lecture Applied Econometrics, 15. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 12. Mai 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-05-12
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200512_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 16. Lesson

preview Play
Title: Lecture Applied Econometrics, 16. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 12. Mai 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-05-12
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200512_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 17. Lesson

preview Play
Title: Lecture Applied Econometrics, 17. Lesson
Description: Vorlesung im SoSe 2020; Montag, 18. Mai 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-05-18
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200518_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 18. Lesson

preview Play
Title: Lecture Applied Econometrics, 18. Lesson
Description: Vorlesung im SoSe 2020; Montag, 18. Mai 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-05-18
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200518_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 19. Lesson

preview Play
Title: Lecture Applied Econometrics, 19. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 19. Mai 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-05-19
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200519_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 20. Lesson

preview Play
Title: Lecture Applied Econometrics, 20. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 19. Mai 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-05-19
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200519_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 21. Lesson

preview Play
Title: Lecture Applied Econometrics, 21. Lesson
Description: Vorlesung im SoSe 2020; Montag, 25. Mai 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-05-25
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200525_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 22. Lesson

preview Play
Title: Lecture Applied Econometrics, 22. Lesson
Description: Vorlesung im SoSe 2020; Montag, 25. Mai 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-05-25
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200525_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 23. Lesson

preview Play
Title: Lecture Applied Econometrics, 23. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 26. Mai 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-05-26
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200526_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 24. Lesson

preview Play
Title: Lecture Applied Econometrics, 24. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 26. Mai 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-05-26
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200526_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 25. Lesson

preview Play
Title: Lecture Applied Econometrics, 25. Lesson
Description: Vorlesung im SoSe 2020; Montag, 08. Juni 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-06-08
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200608_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 26. Lesson

preview Play
Title: Lecture Applied Econometrics, 26. Lesson
Description: Vorlesung im SoSe 2020; Montag, 08. Juni 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-06-08
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200608_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 27. Lesson

preview Play
Title: Lecture Applied Econometrics, 27. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 09. Juni 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-06-09
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200609_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 28. Lesson

preview Play
Title: Lecture Applied Econometrics, 28. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 09. Juni 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-06-09
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200609_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 29. Lesson

preview Play
Title: Lecture Applied Econometrics, 29. Lesson
Description: Vorlesung im SoSe 2020; Montag, 15. Juni 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-06-15
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200615_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 30. Lesson

preview Play
Title: Lecture Applied Econometrics, 30. Lesson
Description: Vorlesung im SoSe 2020; Montag, 15. Juni 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-06-15
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200615_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 31. Lesson

preview Play
Title: Lecture Applied Econometrics, 31. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 16. Juni 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-06-16
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200616_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 32. Lesson

preview Play
Title: Lecture Applied Econometrics, 32. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 16. Juni 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-06-16
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200616_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 33. Lesson

preview Play
Title: Lecture Applied Econometrics, 33. Lesson
Description: Vorlesung im SoSe 2020; Montag, 22. Juni 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-06-22
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200622_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 34. Lesson

preview Play
Title: Lecture Applied Econometrics, 34. Lesson
Description: Vorlesung im SoSe 2020; Montag, 22. Juni 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-06-22
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200622_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 35. Lesson

preview Play
Title: Lecture Applied Econometrics, 35. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 23. Juni 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-06-23
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200623_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 36. Lesson

preview Play
Title: Lecture Applied Econometrics, 36. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 23. Juni 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-06-23
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200623_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 37. Lesson

preview Play
Title: Lecture Applied Econometrics, 37. Lesson
Description: Vorlesung im SoSe 2020; Montag, 29. Juni 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-06-29
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200629_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 38. Lesson

preview Play
Title: Lecture Applied Econometrics, 38. Lesson
Description: Vorlesung im SoSe 2020; Montag, 29. Juni 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-06-29
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200629_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 39. Lesson

preview Play
Title: Lecture Applied Econometrics, 39. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 30. Juni 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-06-30
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200630_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 40. Lesson

preview Play
Title: Lecture Applied Econometrics, 40. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 30. Juni 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-06-30
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200630_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 41. Lesson

preview Play
Title: Lecture Applied Econometrics, 41. Lesson
Description: Vorlesung im SoSe 2020; Montag, 06. Juli 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-07-06
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200706_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 42. Lesson

preview Play
Title: Lecture Applied Econometrics, 42. Lesson
Description: Vorlesung im SoSe 2020; Montag, 06. Juli 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-07-06
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200706_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 43. Lesson

preview Play
Title: Lecture Applied Econometrics, 43. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 07. Juli 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-07-07
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200707_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 44. Lesson

preview Play
Title: Lecture Applied Econometrics, 44. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 07. Juli 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-07-07
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200707_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 45. Lesson

preview Play
Title: Lecture Applied Econometrics, 45. Lesson
Description: Vorlesung im SoSe 2020; Montag, 13. Juli 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-07-13
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200713_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 46. Lesson

preview Play
Title: Lecture Applied Econometrics, 46. Lesson
Description: Vorlesung im SoSe 2020; Montag, 13. Juli 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-07-13
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200713_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 47. Lesson

preview Play
Title: Lecture Applied Econometrics, 47. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 14. Juli 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-07-14
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200714_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 48. Lesson

preview Play
Title: Lecture Applied Econometrics, 48. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 14. Juli 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-07-14
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200714_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 49. Lesson

preview Play
Title: Lecture Applied Econometrics, 49. Lesson
Description: Vorlesung im SoSe 2020; Montag, 20. Juli 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-07-20
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200720_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 50. Lesson

preview Play
Title: Lecture Applied Econometrics, 50. Lesson
Description: Vorlesung im SoSe 2020; Montag, 20. Juli 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-07-20
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200720_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 51. Lesson

preview Play
Title: Lecture Applied Econometrics, 51. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 21. Juli 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-07-21
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200721_001_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares

Lecture Applied Econometrics, 52. Lesson

preview Play
Title: Lecture Applied Econometrics, 52. Lesson
Description: Vorlesung im SoSe 2020; Dienstag, 21. Juli 2020
Creator: Joachim Grammig (author)
Contributor: ZDV Universität Tübingen (producer)
Publisher: ZDV Universität Tübingen
Date Created: 2020-07-21
Subjects: Wirtschaftswissenschaft, Applied Econometrics,
Identifier: UT_20200721_002_appecono_0001
Rights: Rechtshinweise
Abstracts: Students understand and apply important methods of applied econometrics. They reflect the assumptions and the intuition behind the different methods. The students perform econometric estimations and tests using econometric software and interpret the results in as scientifically correct way. The module discusses econometric models and estimation techniques. Topics presented include: 1. Regression analysis 2. Estimation and inference 3. Data and specification issues 4. Use of cross-sectional, time series and panel data 5. Sample selection corrections 6. Simultaneous equation models 7. Endogeneity: sources and solutions 8. Instrumental variables estimation and two-stage least squares