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An R-squared measure of goodness of fit for some common nonlinear regression models

  • Colin Cameron, A.
  • Windmeijer, Frank A. G.

No abstract is available for this item.

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File URL: http://www.sciencedirect.com/science/article/B6VC0-3SWV8VH-3/2/b45f7a1fa489d55cc026a765f11fccf9
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Article provided by Elsevier in its journal Journal of Econometrics.

Volume (Year): 77 (1997)
Issue (Month): 2 (April)
Pages: 329-342

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Handle: RePEc:eee:econom:v:77:y:1997:i:2:p:329-342
Contact details of provider: Web page: http://www.elsevier.com/locate/jeconom

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  1. Cameron, A Colin & Windmeijer, Frank A G, 1996. "R-Squared Measures for Count Data Regression Models with Applications to Health-Care Utilization," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(2), pages 209-20, April.
  2. John R. Hauser, 1977. "Testing the Accuracy," Discussion Papers 286, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  3. Gourieroux Christian & Monfort Alain & Trognon A, 1981. "Pseudo maximum likelihood methods : theory," CEPREMAP Working Papers (Couverture Orange) 8129, CEPREMAP.
  4. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-33, March.
  5. John G. Cragg & Russell S. Uhler, 1970. "The Demand for Automobiles," Canadian Journal of Economics, Canadian Economics Association, vol. 3(3), pages 386-406, August.
  6. Lucie MERKLE & Klaus F. Zimmermann, 1992. "The Demographics of Labour Turnover : A Comparison of Ordinal Probit and Censored Count Data Models," Discussion Papers (REL - Recherches Economiques de Louvain) 1992033, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
  7. Laitila, Thomas, 1993. "A pseudo-R2 measure for limited and qualitative dependent variable models," Journal of Econometrics, Elsevier, vol. 56(3), pages 341-355, April.
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