Quantitative Methods in Economics and Business Administration
(24 Einträge)
Lecture Quantitative Methods in Economics and Business Administration, 1. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 1. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 13. Oktober 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-10-13 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, |
| Identifier: | UT_20251013_001_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 2. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 2. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 13. Oktober 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-10-13 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Concept of a random sample, Random sample, Sample variables, Sample functions, Sample mean, Asymptotic results, Weak law of large numbers (WLLN), |
| Identifier: | UT_20251013_002_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 3. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 3. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 20. Oktober 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-10-20 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Random samples, Limit theorems, Weak law of large numbers (WLLN), WLLN for measurable functions, |
| Identifier: | UT_20251020_001_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 4. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 4. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 20. Oktober 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-10-20 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Random samples, Limit theorems, Continuous mapping theorem (CMT), Central limit theorem (CLT), |
| Identifier: | UT_20251020_002_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 5. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 5. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 27. Oktober 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-10-27 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Random samples, Limit theorems, Continuous mapping theorem (CMT), Parameter estimation, |
| Identifier: | UT_20251027_001_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 6. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 6. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 27. Oktober 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-10-27 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Continuous mapping theorem (CMT), Parameter estimation, Estimation quality, Bias, |
| Identifier: | UT_20251027_002_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 7. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 7. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 03. November 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-11-03 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Parameter estimation, Mean Squared Error (MSE), Consistency, |
| Identifier: | UT_20251103_001_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 8. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 8. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 03. November 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-11-03 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Parameter estimation, Method of moments (MM), Maximum likelihood (ML) method, |
| Identifier: | UT_20251103_002_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 9. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 9. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 10. November 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-11-10 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Parameter estimation, Method of moments (MM), Maximum likelihood (ML) method, |
| Identifier: | UT_20251110_001_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 10. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 10. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 10. November 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-11-10 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Parameter estimation, Method of moments (MM), Maximum likelihood (ML) method, Maximization of the likelihood function, ML-estimators, Moment estimators, |
| Identifier: | UT_20251110_002_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 11. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 11. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 17. November 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-11-17 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Parameter estimation, Method of moments (MM), Maximum likelihood (ML) method, Carl Pearson, Ronald Fisher, |
| Identifier: | UT_20251117_001_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 12. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 12. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 17. November 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-11-17 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Parameter estimation, Method of moments (MM), Maximum likelihood (ML) method, ML-estimator, Maximization log-likelihood function, Conditional ML (CML), Poisson Regression, |
| Identifier: | UT_20251117_002_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 13. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 13. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 24. November 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-11-24 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Parameter estimation, Maximum likelihood (ML) method, Conditional ML (CML), Conditional Expectation Function, Marginal Effects, Normal Regression, Poisson Regression, Binary Choice, |
| Identifier: | UT_20251124_001_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 14. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 14. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 24. November 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-11-24 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Parameter estimation, Maximum likelihood (ML) method, Conditional ML (CML), Normal Regression, Marginal Effects, Quasi-maximum likelihood (QML), |
| Identifier: | UT_20251124_002_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 15. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 15. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 01. Dezember 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-12-01 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Hypothesis testing, Hypothesis, Null-Hypothesis, Alternative Hypothesis, Type I error, Type II error, Probability, |
| Identifier: | UT_20251201_001_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 16. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 16. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 01. Dezember 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-12-01 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Hypothesis testing, Hypothesis, Significance level alpha, Critical value, Alternative hypothesis, |
| Identifier: | UT_20251201_002_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 17. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 17. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 08. Dezember 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-12-08 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Hypothesis testing, p-value, alternative significance level, empirical significance level, |
| Identifier: | UT_20251208_001_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 18. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 18. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 08. Dezember 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-12-08 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Hypothesis testing, p-value, Empirical significance level, Procedure for hypothesis testing, (statistical) Significance, Power, Parameter tests, Distributional tests, t-test principle, |
| Identifier: | UT_20251208_002_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 19. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 19. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 15. Dezember 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-12-15 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Hypothesis testing, t-statistic, one-sided tests, two-sided tests, confidence intervals, nasty trick, |
| Identifier: | UT_20251215_001_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 20. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 20. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 15. Dezember 2025 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2025-12-15 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Hypothesis testing, t-statistic, One-sided tests, Two-sided tests, Confidence intervals, Quantiles, Random variables, Repeated sampling, Probability, |
| Identifier: | UT_20251215_002_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 21. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 21. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 12. Januar 2026 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2026-01-12 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Linear Regression Model, Regression Analysis, EDA-View, Exploratory Data Analysis View, Traditional View, |
| Identifier: | UT_20260112_001_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 22. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 22. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 12. Januar 2026 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2026-01-12 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Linear Regression Model, Regression Analysis, Theory-motivated regression, Classical assumptions, |
| Identifier: | UT_20260112_002_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 23. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 23. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 19. Januar 2026 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2026-01-19 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Linear Regression Model, Regression Analysis, Theory-motivated regression, Strict exogeneity, Endogeneity, |
| Identifier: | UT_20260119_001_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
Lecture Quantitative Methods in Economics and Business Administration, 24. Lesson
| Title: | Lecture Quantitative Methods in Economics and Business Administration, 24. Lesson |
| Description: | Vorlesung im WiSe 2025-2026; Montag, 19. Januar 2026 |
| Creator: | Joachim Grammig (author) |
| Contributor: | ZDV Universität Tübingen (producer) |
| Publisher: | ZDV Universität Tübingen |
| Date Created: | 2026-01-19 |
| Subjects: | Wirtschaftswissenschaft, Quantitative Methods, Economics and Business Administration, Linear Regression Model, Regression Analysis, Theory-motivated regression, Strict exogeneity, Conditional homoskedasticity, Conditional nrmal distribution, Extension for sample variables, |
| Identifier: | UT_20260119_002_ws2526quantme... |
| Rights: | Rechtshinweise |
| Abstracts: | The module covers the basics of econometric estimation and testing. The following topics are covered: 1. Statistical estimation theory 2. Maximum likelihood and the method of moments 3. Hypothesis testing 4. Specificspecial test procedures 5. Multivariate regression analysis: assumptions and application 6. Introduction to the theory of stochastic processes 7. Use of econometric software |
