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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/10010269313
Dagenais (1999) and Lucchetti (2002) have demonstrated that the naive GMM estimator of Grogger (1990) for the probit model with an endogenous regressor is not consistent. This paper completes their discussion by explaining the reason for the inconsistency and presenting a natural solution....
Persistent link: https://www.econbiz.de/10010263480
We characterize the bias of propensity score based estimators of common average treatment effect parameters in the case …
Persistent link: https://www.econbiz.de/10010268598
This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data …
Persistent link: https://www.econbiz.de/10010271244
Recent empirical evidence suggests that reversing current account balances imply costly adjustment processes leading to reduced economic growth. Using large panel data sets to analyze determinants and costs of reversals asks for controls of heterogeneity among countries. This paper contributes a...
Persistent link: https://www.econbiz.de/10010296281
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/10010289957
Persistent link: https://www.econbiz.de/10010316239
This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time …
Persistent link: https://www.econbiz.de/10010318527
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/10010268162
estimator is biased in the context of dynamic estimation. The estimators taking into account the resulting bias can be grouped … broadly into the class of instrumental estimators and the class of direct bias corrected estimators. The simulation results … clearly favour the direct bias corrected estimators, especially the estimator proposed by Hansen (2001). The superiority of …
Persistent link: https://www.econbiz.de/10010295751