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Lecture Applied Econometrics, 17. Lesson
Grammig, Joachim (2020)
Grammig J. "Lecture Applied Econometrics, 17. Lesson.", timms video, Universität Tübingen (2020): https://timms.uni-tuebingen.de:443/tp/UT_20200518_001_appecono_0001. Accessed 25 Jan 2021.
Grammig, J. (2020). Lecture Applied Econometrics, 17. Lesson. timms video: Universität Tübingen. Retrieved January 25, 2021 from the World Wide Web https://timms.uni-tuebingen.de:443/tp/UT_20200518_001_appecono_0001
Grammig, J. (2020). Lecture Applied Econometrics, 17. Lesson [Online video]. 18 May. Available at: https://timms.uni-tuebingen.de:443/tp/UT_20200518_001_appecono_0001 (Accessed: 25 January 2021).
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title: Lecture Applied Econometrics, 17. Lesson
alt. title:
creator: Grammig, Joachim (author)
subjects: Wirtschaftswissenschaft, Applied Econometrics, Lecture, Motivations for linear CEF, Double Expectation Theorem (DET), Generalized DET, Linearity of Conditional Expectations, Law of Iterated Expectation (LIE)
description: Vorlesung im SoSe 2020; Montag, 18. Mai 2020
abstract: 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
publisher: ZDV Universität Tübingen
contributor: ZDV Universität Tübingen (producer)
creation date: 2020-05-18
dc type: image
localtype: video
identifier: UT_20200518_001_appecono_0001
language: eng
rights: Url: https://timmsstatic.uni-tuebingen.de/jtimms/TimmsDisclaimer.html?637471448250526772