Research methods

The principal purpose of this paper is to describe the performance of generalized empirical likelihood (GEL) methods for time series instrumental variable models specified by nonlinear moment restrictions when identification may be weak.

This document reviews a number of empirical methodologies available to answering policy questions about the relationship between income and child outcomes.

This paper considers structural nonparametric random utility models for continuous choice variables.

This paper provides a control function estimator to adjust for endogeneity in the triangular simultaneous equations model where there

We consider the number of unit root tests for micro panels where the number of individuals is typically large, but the number of time periods is often very small.

This paper considers parametric estimation problems with i.i.d. data.

We develop a simulated ML method for short-panel estimation of one or more dynamic linear equations, where the dependent variables are only partially observed through ordinal scales.

This survey covers recent solutions to aggregation problems in three application areas, consumer demand analysis, consumption growth and wealth, and labor participation and wages.

Monte Carlo studies have shown that estimated asymptotic standard errors of the efficient two-step generalized method of moments (GMM) estimator can be severely downward biased in small samples.

I show that a class of fixed effects estimators is reasonably robust for estimating the population-averaged slope coefficients in panel data models with individual-specific slopes, where the slopes are allowed to be correlated with the covariates.

Approaches to bias-reduction are discussed

The analysis in this paper is motivated by the controversial empirical findings and by recent developments in econometrics for partial identification.

We introduce test statistics based on generalized empirical likelihood methods that can be used to test simple hypotheses involving the unknown parameter vector in moment condition time series models.

The existence of a uniformly consistent estimator for a particular parameter is well-known to depend on the uniform continuity of the functional that defines the parameter in terms of the model.

We study noncooperative models with two agents and several voluntarily contributed public goods.

We analyze equilibria in hedonic economies and study conditions that lead to identification of structural preference parameters in hedonic economies with both additive and nonadditive marginal utility and marginal product functions.

This paper proposes to answer this question by using a unique dataset from Norway.

Cobb Douglas production function parameters are not identified from cross-section variation when inputs are perfectly flexible and chosen optimally, and input prices are common to all firms.

This paper is concerned with the practical problem of conducting inference in a vector time series setting when the data is unbalanced or incomplete.