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...

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...

Determining the competitive position of dairy farms depends on several technological, economic and institutional variables. Among them, are remarkable those related to animal feeding in the current context of high variability on prices. In this context, the aim of our study is to analyze the...

In this study we construct a multivariate stochastic model for website visit duration, page views, purchase incidence and the sale amount for online retailers. The model is constructed by composition from parametric distributions that account for consumer heterogeneity, and involves copula...

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...

We analyse the determinants of off-farm labour participation of farmers. For estimation, we use different dynamic models, accounting for both heterogeneity and state dependence, as well as for the initial conditions. Our results suggest that, when keeping into account all these features, the...

This paper provides a quantitative assessment of the effects of input and output prices on French GHG emissions from agriculture, forestry and other land use (AFOLU) at the NUTS2 level. Reduced-form, random-effect spatial error models are estimated for four emissions categories (nitrogen use,...