Showing 1 - 10 of 43
We propose a novel selectivity correction procedure to deal with survey attrition, at the crossroads of the "Heckit … models, we use information on the number of attempts that were made to obtain response to the survey from each individual who … and unbalanced response rates. -- survey non response ; sample selectivity ; treatment effect model ; randomized …
Persistent link: https://www.econbiz.de/10009575404
two independent surveys on the same initial sample of 8,000 persons. The first one is a long telephone survey that had a … telephone survey targeted at those leaving the unemployment registers; this enriched data source has a balanced and much higher … results. Using the enriched administrative data as benchmark, we find evidence that estimates from the long telephone survey …
Persistent link: https://www.econbiz.de/10003844972
Although physicians are often expected to be gatekeepers to health insurance benefits such as paid sick leave, research indicates a substantial reluctance to reject patient requests for sickness certificates. We show that private information on the patient's part creates a conflict between the...
Persistent link: https://www.econbiz.de/10011647475
This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can easily deal with the commonly encountered and widely discussed "initial conditions problem," as well as the...
Persistent link: https://www.econbiz.de/10003824296
This paper presents a convenient shortcut method for implementing the Heckman estimator of the dynamic random effects probit model using standard software. It then compares the three estimators proposed by Heckman, Orme and Wooldridge based on three alternative approximations, first in an...
Persistent link: https://www.econbiz.de/10003557347
This paper proposes a parametric approach to estimating a dynamic binary response panel data model that allows for endogenous contemporaneous regressors. Such a model is of particular value for settings in which one wants to estimate the effects of an endogenous treatment on a binary outcome. In...
Persistent link: https://www.econbiz.de/10009629773
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
Italian nationally representative survey, the results emphasise the importance of controlling for unobservables. They indicate …
Persistent link: https://www.econbiz.de/10012583510
Probit and logit models typically require a normalization on the error variance for model identification. This paper shows that in the context of sample mean probability decompositions, error variance normalizations preclude estimation of the effects of group differences in the latent variable...
Persistent link: https://www.econbiz.de/10011607610
This paper introduces a new and simple decomposition method for a binary choice model that is equivalent to the Blinder-Oaxaca decomposition analysis for wage differentials. The decomposition method is first developed for a single probit model and later generalized to a simultaneous equations...
Persistent link: https://www.econbiz.de/10011326421