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Count data models with selectivity

Winkelmann, Rainer - 1996

Persistent link: https://www.econbiz.de/10000943967

Random effects models for panel count data

Winkelmann, Rainer - 1998

Persistent link: https://www.econbiz.de/10000995297

Markov chain Monte Carlo analysis of underreported count data with an application to worker absenteeism

Winkelmann, Rainer - In: Empirical economics : a journal of the Institute for … 21 (1996) 4, pp. 575-587

Persistent link: https://www.econbiz.de/10001209913

Count data models with selectivity

Winkelmann, Rainer - In: Econometric reviews 17 (1998) 4, pp. 339-359

Persistent link: https://www.econbiz.de/10001250285

Markov chain Monte Carlo analysis of underreported count data with an application to worker absenteeism

Winkelmann, Rainer - 1996

Persistent link: https://www.econbiz.de/10000931017

Econometric analysis of count data : with 20 tables

Winkelmann, Rainer - 2000 - 3., rev. and enl. ed.

Persistent link: https://www.econbiz.de/10001480685

Econometric analysis of count data : with 20 tables

Winkelmann, Rainer - 2003 - 4. ed

Persistent link: https://www.econbiz.de/10001782363

Econometric analysis of count data

Winkelmann, Rainer - 2008 - 5. ed.

Persistent link: https://www.econbiz.de/10003631741

Econometric analysis of count data

Winkelmann, Rainer - 1997 - 2., rev. and enl. ed.

Persistent link: https://www.econbiz.de/10014267661

Neglected heterogeneity and the algebra of least squares

Winkelmann, Rainer - 2023

This paper explores an algebraic relationship between two types of coefficients for a regression with several predictors and an additive binary group variable. In a general regression, the regression coefficients are allowed to be group-specific, the restricted regression imposes constant...

Persistent link: https://www.econbiz.de/10013548760