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The random element in discrete choice, or is there omitted variable bias in logit models?
Cramer, Jan S. - 1996
Persistent link: https://www.econbiz.de/10000926806
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Predictive performance of the binary logit model in unbalanced samples
Cramer, Jan S. - 1998
Persistent link: https://www.econbiz.de/10000991205
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The volume of transactions and the circulation of money in the United States : 1950 - 1979
Cramer, Jan S. - In: Journal of business & economic statistics : JBES ; a … 4 (1986) 2, pp. 225-232
Persistent link: https://www.econbiz.de/10001007895
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Mean and variance of R2 in small and moderate samples
Cramer, Jan S. - In: Journal of econometrics 35 (1987) 2, pp. 253-266
Persistent link: https://www.econbiz.de/10001027090
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[Rezension von: Granger, Clive W. J., Empirical modeling in economics]
Cramer, Jan S. - In: De economist : Netherlands economic review ; quarterly … 149 (2001) 2, pp. 265-266
Persistent link: https://www.econbiz.de/10001588629
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Association among pairs of discrete consumer choices
Cramer, Jan S. - 1992 - (Version 3.1)
Persistent link: https://www.econbiz.de/10000846866
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Childhood intelligence and adult mortality in the Brabant data set : technical report
Cramer, Jan S. - 2011
Persistent link: https://www.econbiz.de/10010191092
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Childhood intelligence and adult mortality in the Brabant data set : first report
Cramer, Jan S. - 2011
Persistent link: https://www.econbiz.de/10010191093
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Omitted variables and misspecified disturbances in the logit model
Cramer, Jan S. - 2005
In binary discrete regression models like logit or probit the omis-sion of a relevant regressor (even if it is orthogonal) depresses the re-maining b coefficients towards zero. For the probit model, Wooldridge(2002) has shown that this bias does not carry over to the effect ofthe regressor on...
Persistent link: https://www.econbiz.de/10011346477