(i) The explanatory variables are predetermined but not strictly exogenous. This includes lagged dependent variables as well as other forms of unspeci.ed feedback. (ii) Individual e1ects are allowed to be correlated with the explanatory variables. Dependence is speci.ed through the conditional expectation of the e1ects which is let to be non-parametric. We also present a GMM estimator for these models, which is consistent and asymptotically normal for .xed T and large N. We study its .nite sample properties in an autoregressive model by means of Monte Carlo simulations. Finally, as an empirical illustration, we estimate a female labour force participation equation withpredetermined children using PSID data.Publicad
This article develops a simulation estimation algorithm that is particularly useful for estimating d...
This article develops a simulation estimation algorithm that is particularly useful for estimating d...
An exact maximum likelihood method is developed for the estimation of parameters in a nonlinear non-...
(i) The explanatory variables are predetermined but not strictly exogenous. This includes lagged dep...
This paper discusses the estimation of binary choice panel data models. We begin with different vers...
Most previous studies of binary choice panel data models with Þxed effects require strictly exogeneo...
This article considers the estimation of the causal effect of fertility on female-labor-force partic...
Strict exogeneity of covariates other than the lagged dependent variable, and conditional on unobser...
This research explores the intersection of econometric theory and consumer choice applications. Cons...
In this thesis estimators for "fixed-effects" panel data sample selection models are discussed, most...
This thesis represents an attempt to provide a deeper knowledge of the finite sample properties of s...
This paper is concerned with extending the familiar notion of fixed effects to nonlinear setups with...
We propose a new approach to the semiparametric analysis of panel data binary choice models with fix...
The main purpose of this paper is to estimate panel data models with endogenous regressors and nonad...
For static panel data models that include endogenous time-invariant variables corre- lated with indi...
This article develops a simulation estimation algorithm that is particularly useful for estimating d...
This article develops a simulation estimation algorithm that is particularly useful for estimating d...
An exact maximum likelihood method is developed for the estimation of parameters in a nonlinear non-...
(i) The explanatory variables are predetermined but not strictly exogenous. This includes lagged dep...
This paper discusses the estimation of binary choice panel data models. We begin with different vers...
Most previous studies of binary choice panel data models with Þxed effects require strictly exogeneo...
This article considers the estimation of the causal effect of fertility on female-labor-force partic...
Strict exogeneity of covariates other than the lagged dependent variable, and conditional on unobser...
This research explores the intersection of econometric theory and consumer choice applications. Cons...
In this thesis estimators for "fixed-effects" panel data sample selection models are discussed, most...
This thesis represents an attempt to provide a deeper knowledge of the finite sample properties of s...
This paper is concerned with extending the familiar notion of fixed effects to nonlinear setups with...
We propose a new approach to the semiparametric analysis of panel data binary choice models with fix...
The main purpose of this paper is to estimate panel data models with endogenous regressors and nonad...
For static panel data models that include endogenous time-invariant variables corre- lated with indi...
This article develops a simulation estimation algorithm that is particularly useful for estimating d...
This article develops a simulation estimation algorithm that is particularly useful for estimating d...
An exact maximum likelihood method is developed for the estimation of parameters in a nonlinear non-...