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Evaluating Pseudo-R 2 's for binary probit models

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  • Michael Veall
  • Klaus Zimmermann

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  • Michael Veall & Klaus Zimmermann, 1994. "Evaluating Pseudo-R 2 's for binary probit models," Quality & Quantity: International Journal of Methodology, Springer, vol. 28(2), pages 151-164, May.
    • Handle: RePEc:spr:qualqt:v:28:y:1994:i:2:p:151-164
    DOI: 10.1007/BF01102759
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    1. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
    2. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    3. Dhrymes, Phoebus J., 1986. "Limited dependent variables," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 27, pages 1567-1631, Elsevier.
    4. Lave, Charles A, 1970. "The Demand for Urban Mass Transportation," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 320-323, August.
    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. John R. Hauser, 1977. "Testing the Accuracy," Discussion Papers 286, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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    2. Salaisook, Phastraporn & Faysse, Nicolas & Tsusaka, Takuji W., 2020. "Reasons for adoption of sustainable land management practices in a changing context: A mixed approach in Thailand," Land Use Policy, Elsevier, vol. 96(C).
    3. Scott W. Fausti & Matthew A. Diersen & Bashir A. Qasmi & Jing Li & Brent Lange, 2013. "The effect of animal gender on producer marketing behaviour," Applied Economics Letters, Taylor & Francis Journals, vol. 20(2), pages 180-185, February.
    4. Sarah Ann Wheeler & Alec Zuo, 2017. "The impact of drought and water scarcity on irrigator farm exit intentions in the Murray–Darling Basin," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(3), pages 404-421, July.
    5. Antonio Calcagnì & Luigi Lombardi, 2022. "Modeling random and non-random decision uncertainty in ratings data: a fuzzy beta model," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(1), pages 145-173, March.
    6. Pavlova, Milena & Hendrix, Marijke & Nouwens, Elvira & Nijhuis, Jan & van Merode, Godefridus, 2009. "The choice of obstetric care by low-risk pregnant women in the Netherlands: Implications for policy and management," Health Policy, Elsevier, vol. 93(1), pages 27-34, November.
    7. Selen CAKMAKYAPAN & Atilla GOKTAS, 2013. "A Comparison Of Binary Logit And Probit Models With A Simulation Study," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 2(1), pages 1-17, JULY.
    8. Popescu, Madalina Ecaterina & Roman, Monica, 2018. "Vocational training and employability: Evaluation evidence from Romania," Evaluation and Program Planning, Elsevier, vol. 67(C), pages 38-46.
    9. Selen Cakmakyapan & Haydar Demirhan, 2017. "A Monte Carlo-based pseudo-coefficient of determination for generalized linear models with binary outcome," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(14), pages 2458-2482, October.
    10. Niccolò Cao & Antonio Calcagnì, 2022. "Jointly Modeling Rating Responses and Times with Fuzzy Numbers: An Application to Psychometric Data," Mathematics, MDPI, vol. 10(7), pages 1-11, March.

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