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Lecture Applied Econometrics, 29. Lesson

Grammig, Joachim (2020)

mla clipboard	Grammig J. "Lecture Applied Econometrics, 29. Lesson.", timms video, Universität Tübingen (2020): https://timms.uni-tuebingen.de:443/tp/UT_20200615_001_appecono_0001. Accessed 23 Nov 2024.
apa clipboard	Grammig, J. (2020). Lecture Applied Econometrics, 29. Lesson. timms video: Universität Tübingen. Retrieved November 23, 2024 from the World Wide Web https://timms.uni-tuebingen.de:443/tp/UT_20200615_001_appecono_0001
harvard clipboard	Grammig, J. (2020). Lecture Applied Econometrics, 29. Lesson [Online video]. 15 June. Available at: https://timms.uni-tuebingen.de:443/tp/UT_20200615_001_appecono_0001 (Accessed: 23 November 2024).
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title:	Lecture Applied Econometrics, 29. Lesson
alt. title:
creator:	Grammig, Joachim (author)
subjects:	Wirtschaftswissenschaft, Applied Econometrics, Lecture, Finite sample properties of OLS, OLS estimator, Sampling error, Unbiasedness, Gauss Markov theorem
description:	Vorlesung im SoSe 2020; Montag, 15. Juni 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:	2020-06-15
dc type:	image
localtype:	video
identifier:	UT_20200615_001_appecono_0001
language:	eng
rights:	Url: https://timmsstatic.uni-tuebingen.de/jtimms/TimmsDisclaimer.html?638679613151316262

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