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Sample Selection in the Poisson Regression Model

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Author Info
William H. Greene

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Abstract

We present a correction for sample selectivity in the Poisson regression model for count data. The model is similar to that devised by Heckman for the linear regression model. Estimation by a two step method is suggested using nonlinear least squares at the second step. The model described here was presented in Greene (1994). Terza (1995) describes an alternative approach that has a more orthodox specification of the regression function. We show in this note that Terza's approach is essentially the same as Greene's.

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Publisher Info
Paper provided by New York University, Leonard N. Stern School of Business, Department of Economics in its series Working Papers with number 95-06.

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Date of creation: May 1995
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Handle: RePEc:ste:nystbu:95-06

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Postal: New York University, Leonard N. Stern School of Business, Department of Economics, 44 West 4th Street, New York, NY 10012-1126
Phone: (212) 998-0860
Fax: (212) 995-4218
Web page: http://w4.stern.nyu.edu/economics/
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  1. Junfu Zhang & Xue Song, 2007. "Fertility Differences between Married and Cohabiting Couples: A Switching Regression Analysis," IZA Discussion Papers 3245, Institute for the Study of Labor (IZA). [Downloadable!]
  2. William Greene, 2007. "Functional Form and Heterogeneity in Models for Count Data," Working Papers 07-10, New York University, Leonard N. Stern School of Business, Department of Economics. [Downloadable!]
  3. William Greene, 2006. "A General Approach to Incorporating Selectivity in a Model," Working Papers 06-10, New York University, Leonard N. Stern School of Business, Department of Economics. [Downloadable!]
  4. William Greene, 2001. "Fixed and Random Effects in Nonlinear Models," Working Papers 01-01, New York University, Leonard N. Stern School of Business, Department of Economics. [Downloadable!]
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  5. William Greene, 2008. "A Stochastic Frontier Model with Correction for Sample Selection," Working Papers 08-9, New York University, Leonard N. Stern School of Business, Department of Economics. [Downloadable!]
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