The COUNTREG Procedure


  • Abramowitz, M. and Stegun, A. (1970), Handbook of Mathematical Functions, New York: Dover Press.

  • Amemiya, T. (1985), Advanced Econometrics, Cambridge: Harvard University Press.

  • Cameron, A. C. and Trivedi, P. K. (1986), Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Some Tests, Journal of Applied Econometrics, 1, 29–53.

  • Cameron, A. C. and Trivedi, P. K. (1998), Regression Analysis of Count Data, Cambridge: Cambridge University Press.

  • Godfrey, L. G. (1988), Misspecification Tests in Econometrics, Cambridge: Cambridge University Press.

  • Greene, W. H. (1994), Accounting for Excess Zeros and Sample Selection in Poisson and Negative Binomial Regression Models, Working Paper No. 94-10, New York: Stern School of Business, Department of Economics, New York University.

  • Greene, W. H. (2000), Econometric Analysis, Upper Saddle River, NJ: Prentice Hall.

  • Hausman, J. A., Hall, B. H., and Griliches, Z. (1984), Econometric Models for Count Data with an Application to the Patents-R&D Relationship, Econometrica, 52, 909–938.

  • King, G. (1989a), A Seemingly Unrelated Poisson Regression Model, Sociological Methods and Research, 17, 235–255.

  • King, G. (1989b), Unifying Political Methodology: The Likelihood Theory and Statistical Inference, Cambridge: Cambridge University Press.

  • Lambert, D. (1992), “Zero-Inflated Poisson Regression with an Application to Defects in Manufacturing,” Technometrics, 34, 1–14.

  • LaMotte, L. R. (1994), “A Note on the Role of Independence in $t$ Statistics Constructed from Linear Statistics in Regression Models,” The American Statistician, 48, 238–240.

  • Long, J. S. (1997), Regression Models for Categorical and Limited Dependent Variables, Thousand Oaks, CA: Sage Publications.

  • Searle, S. R. (1971), Linear Models, New York: John Wiley & Sons.

  • Winkelmann, R. (2000), Econometric Analysis of Count Data, Berlin: Springer-Verlag.