A system of multivariate semiparametric nonlinear time series models is studied with possible dependence structures and nonstationarities in the parametric and nonparametric components. The parametric regressors may be endogenous while the nonparametric regressors are assumed to be strictly...

This research proposes that, in cases where threshold covariates are either unavailable or difficult to observe, practitioners should treat these characteristics as latent, and use simulated maximum likelihood techniques to control for them. Two econometric frameworks for doing so in a more...

Changes in the unemployment rate can have differing impacts on the labour force participation rate depending on the strength of the added worker effect and the discouraged worker effect. This paper documents the differences in the relationship between the unemployment rate and the labour force...

Young adults aged 19-24 are significantly less likely to have health insurance since most family insurance policies cut off dependents when they turn 19 or finish college. In recent years, several states in the United States have expanded eligibility to allow young adults to remain covered under...

The paper extends the literature on financial development, inflation, and growth by using the idea that both the rates of return on physical and human capital affect growth. This leads to the introduction of the investment rate into the model, as a proxy for the return to physical capital, along...

In this paper, we study semiparametric estimation for a single-index panel data model where the nonlinear link function varies among the individuals. We propose using the refined minimum average variance estimation method to estimate the parameter in the single-index. As the cross-section...

In this paper, we consider semiparametric estimation in a partially linear single-index panel data model with fixed effects. Without taking the difference explicitly, we propose using a semiparametric minimum average variance estimation (SMAVE) based on a dummy-variable method to remove the...

A semiparametric fixed effects model is introduced to describe the nonlinear trending phenomenon in panel data analysis and it allows for the cross-sectional dependence in both the regressors and the residuals. A pooled semiparametric profile likelihood dummy variable approach based on the...

The paper presents panel data evidence for 13 transition countries on inflation, financial development and growth. It contributes to the growth literature by showing that the transition countries conform to developed country evidence in particular with the strong negative effect of inflation on...

In this paper two new estimators are offred (one each for the fixed random effects specifications), and small sample performance compared with that of all the existing estimators.