This article provides a selective review on the recent developments of some nonlinear nonparametric and semiparametric panel data models. In particular, we focus on two types of modelling frameworks: nonparametric and semiparametric panel data models with deterministic trends, and semiparametric single-index panel data models with individual effects. We also review various estimation methodolog...

This paper tries to explore the asymptotic properties of maximum likelihood estimators for spatial dynamic panel data with fixed effects when both the number of time periods T and number of individuals n are large. When n is proportional to T or T is relatively large, the estimator is √ nT consistent and asymptotically normal; when n is relatively large, the estimator is consistent with the rat...

This paper uses control variables to identify and estimate models with nonseparable, multidimensional disturbances. Triangular simultaneous equations models are considered, with instruments and disturbances independent and reduced form that is strictly monotonic in a scalar disturbance. Here it is shown that the conditional cumulative distribution function of the endogenous variable given the i...

Model uncertainty hampers consensus on the key determinants of economic growth. Some recent cross-country cross-sectional analyses have employed Bayesian Model Averaging to tackle the issue of model uncertainty. This paper extends that approach to panel data models with countryspecific fixed effects in order to simultaneously address model uncertainty and endogeneity issues. The empirical findi...

In this article we analyze the determinants of the functional distribution of government expenditure using for this purpose the models of the median voter's demand common in public choice literature. First of all, we review the economic literature on the factors affecting each component of government expenditure. Then, secondly, we develop a demand model of expenditure structure and we estimate...

Crime, Prosecutors, and the Certainty of Conviction This paper tests predictions of a structural, augmented supply-of-offenders model regarding the relative effects of police, public prosecution and courts, respectively, on crime. Using detailed data on the different stages of the criminal prosecution process in Germany, empirical evidence suggests that public prosecutors and their influence on...

The stochastic frontier model used for continuous dependent variables is extended to accommodate output measured as a discrete ordinal outcome variable. Conditional on the inefficiency error, the assumptions of the ordered probit model are adopted for the log of output. Bayesian estimation utilizing a Gibbs sampler with data augmentation is applied to a convenient re-parameterisation of the mod...

This paper argues that the Phillips curve–wage curve controversy cannot be settled within the conventional testing frameworks and suggests an alternative test, which builds on the model of Blanchard and Katz (1997). Using long macro data for the OECD countries, the evidence gives very strong support for the Phillips curve and indicates that wage behaviour is no different among the OECD countrie...

The paper examines how hospital cost efficiency has reacted to extensive horizontal integrations of hospitals and rapid growth of managed care in the US health care industry. Cost efficiency is estimated by using panel data approaches to relax the assumptions for the hospital effects imposed in earlier studies. The paper shows that higher managed care penetration over time is associated with gr...

This paper investigates the effects of services offshoring on wages using individual level data combined with industry information on offshoring. Our results show that services offshoring affects the real wage of low and medium skilled individuals negatively. By contrast, skilled workers benefit from services offshoring in terms of higher real wages. Hence, offshoring has contributed to a widen...