Showing 1 - 10 of 17
Persistent link: https://www.econbiz.de/10009693817
A common approach to dealing with missing data is to estimate the model on the common subset of data, by necessity throwing away potentially useful data. We derive a new probit type estimator for models with missing covariate data where the dependent variable is binary. For the benchmark case of...
Persistent link: https://www.econbiz.de/10003829113
A common approach to dealing with missing data is to estimate the model on the common subset of data, by necessity throwing away potentially useful data. We derive a new probit type estimator for models with missing covariate data where the dependent variable is binary. For the benchmark case of...
Persistent link: https://www.econbiz.de/10012764225
A common approach to dealing with missing data is to estimate the model on the common subset of data, by necessity throwing away potentially useful data. We derive a new probit type estimator for models with missing covariate data where the dependent variable is binary. For the benchmark case of...
Persistent link: https://www.econbiz.de/10015380009
Persistent link: https://www.econbiz.de/10011896767
Persistent link: https://www.econbiz.de/10000969930
Persistent link: https://www.econbiz.de/10001253476
Persistent link: https://www.econbiz.de/10000968379
Persistent link: https://www.econbiz.de/10001741936
Persistent link: https://www.econbiz.de/10001674614