A simple representation of the Bera-Jarque-Lee test for probit models
The paper presents an easy way to implement the Bera-Jarque-Lee test for probit models. Furthermore, the simple representation is used to compare the test of normality with the RESET-type test proposed by Papke and Wooldridge [Papke, L.E., Wooldridge, J.M., 1996, Econometric methods for fractional response variables with an application to 401 (k) plan participation rates, Journal of Applied Econometrics 11, 619-632].
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References listed on IDEAS
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- Engle, Robert F., 1984. "Wald, likelihood ratio, and Lagrange multiplier tests in econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 13, pages 775-826 Elsevier.
- Papke, Leslie E & Wooldridge, Jeffrey M, 1996.
"Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 11(6), pages 619-32, Nov.-Dec..
- Leslie E. Papke & Jeffrey M. Wooldridge, 1993. "Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates," NBER Technical Working Papers 0147, National Bureau of Economic Research, Inc.
- Davidson, Russell & MacKinnon, James G., 1984.
"Convenient specification tests for logit and probit models,"
Journal of Econometrics,
Elsevier, vol. 25(3), pages 241-262, July.
- Russell Davidson & James G. MacKinnon, 1982. "Convenient Specification Tests for Logit and Probit Models," Working Papers 514, Queen's University, Department of Economics.
- Bera, Anil K & Jarque, Carlos M & Lee, Lung-Fei, 1984. "Testing the Normality Assumption in Limited Dependent Variable Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(3), pages 563-78, October.
- Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119, March.
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