The farm household model has played a central role in improving the understanding of small-scale agricultural households and non-farm enterprises. Under the assumptions that all current and future markets exist and that farmers treat all prices as given, the model simplifies households'...

This paper develops linear estimators for structural and causal parameters in nonparametric,nonseparable models using panel data. These models incorporate unobserved, time-varying, individual heterogeneity, which may be correlated with the regressors. Estimation is based on an approximation of...

In both corporate finance and asset pricing empirical work, researchers are often confronted with panel data. In these data sets, the residuals may be correlated across firms and across time, and OLS standard errors can be biased. Historically, the two literatures have used different solutions...

Three potential sources of bias present complications for estimating the half-life of purchasing power parity deviations from panel data. They are the bias associated with inapproiate aggregation across heterogeneous coefficients, time aggregation of commodity prices, and downward bias in...

This paper examines the question of whether less-developed countries' (LDCs') experiences with foreign direct investment (FDI) systematically different from those of developed countries (DCs). We do this by examining three types of empirical FDI studies that typically do not distinguish between...

This paper conducts a Cox-type survival analysis of Japanese corporate firms using census-coverage data collected by METI. A study of exiting firms confirmed several characteristics of Japanese firms in the 1990s. First, excessive internalization in the corporate structure and activities is...

Germany is an interesting country to study saving among older households since nearly everyone - whether in the middle income bracket or richer - saves substantial amounts in old age. Only households in the lowest quarter of the income distribution spend more between the ages of 60 and 75 than...

This paper considers estimation of a panel data model with disturbances that are autocorrelated across cross-sectional units. It is assumed that the disturbances are spatially correlated, based on some geographic or economic proximity measure. If the time dimension of the data is large, feasible...

This paper considers the problem of forecasting a collection of short time series using cross sectional information in panel data. We construct point predictors using Tweedie's formula for the posterior mean of heterogeneous coefficients under a correlated random effects distribution. This...

In this paper we study methods for estimating causal effects in settings with panel data, where a subset of units are exposed to a treatment during a subset of periods, and the goal is estimating counterfactual (untreated) outcomes for the treated unit/period combinations. We develop a class of...