Showing 1 - 10 of 617
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/10013089968
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/10012775847
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
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 quot;initial conditions problem,quot; as well...
Persistent link: https://www.econbiz.de/10012764470
We develop a parametrization of the multinomial probit model that yields greater insight into the underlying decision-making process, by decomposing the error terms of the utilities into latent factors and noise. The latent factors are identified without a measurement system, and they can be...
Persistent link: https://www.econbiz.de/10012946584
A large literature uses parental evaluations of child health status to provide evidence on the socioeconomic … determinants of health. If how parents perceive health questions differs by income or education level, then estimates of the … child mental health evaluations from parents, teachers, children and psychiatrists for mental health problems, test whether …
Persistent link: https://www.econbiz.de/10013146467
This paper provides an expression for the bias of the OLS estimator of the schooling coefficient in a simple static … coefficient is biased upward, and the bias is increasing with potential labor-market experience and the degree of earnings … persistence. In addition, NLSY data are used to show that the magnitude of the persistence bias is non-negligible, and the bias …
Persistent link: https://www.econbiz.de/10013087398
) bias in β^. We add to this literature in two important ways. First, we focus on estimation of the fixed effects proper, as … these have become increasingly important in applied work.Second, we build on a bias-reduction approach originally developed …
Persistent link: https://www.econbiz.de/10012942104
We assess selection bias in estimated returns to workplace training by exploiting a field experiment with random …. When controlling for pre-treatment performance or individual fixed effects, only about one tenth of this bias remains and …
Persistent link: https://www.econbiz.de/10013315191
This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time …/selection bias. We then estimate the primary equation by fixed effects including an appropriately constructed control function from … both steps might employ nonlinear fixed effects procedures it is necessary to bias adjust the estimates due to the …
Persistent link: https://www.econbiz.de/10013317161