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Estimating Econometric Models with Fixed Effects.
Greene, W. - Finance Department, Stern School of Business - 2001
The application of nonlinear fixed effects models in econometrics has often been avoided for two reasons, one methodological, one practical. The methodological question centers on a incidental parametres problem that raises questions about the statistical properties of the estimator. The...
Persistent link: https://www.econbiz.de/10005776453
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Opportunities for economic research by secondary school students
Zaveri, Zahir; Pedisich, Daniel; Greene, William - In: The journal of economic education 31 (2000) 4, pp. 402-405
Persistent link: https://www.econbiz.de/10001530837
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Econometric analysis
Greene, William - 2000 - 4. edition
Persistent link: https://www.econbiz.de/10001395419
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Marginal effects in the censored regression model
Greene, William - In: Economics letters 64 (1999) 1, pp. 43-49
Persistent link: https://www.econbiz.de/10001399166
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The labor market experience of black and white wives in the sixties and seventies
Quester, Aline O. - In: Social science quarterly 66 (1985) 4, pp. 854-866
Persistent link: https://www.econbiz.de/10001013640
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[Rezension von: Manski, Charles, Identification problems in the social sciences]
Greene, William - In: Journal of economic literature 33 (1995) 4, pp. 1977-1979
Persistent link: https://www.econbiz.de/10001347582
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Sample selection in credit-scoring models
Greene, William - In: Japan and the world economy : international journal of … 10 (1998) 3, pp. 299-316
Persistent link: https://www.econbiz.de/10001244756
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Frontier production functions
Greene, William - 1997
Persistent link: https://www.econbiz.de/10001328887
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A Gamma-distributed stochastic frontier model
Greene, William - In: Journal of econometrics 46 (1990) 1, pp. 141-163
Persistent link: https://www.econbiz.de/10001163582
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The restricted least squares estimator : a pedagogical note
Greene, William - In: The review of economics and statistics 73 (1991) 3, pp. 563-567
Persistent link: https://www.econbiz.de/10001114441