Using a unique panel dataset collected from rural households in Bangladesh, we examine the role of microcredit in the intra-household and inter-sectoral distribution of labour supply. The data also enables us to discuss seasonality in labour supply. We find robust evidence that the effects of...

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...

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...

This paper examines the economic returns from participating in a subsidized vocational education program in stitching and tailoring offered to women residing in certain disadvantaged areas of New Delhi, India. The availability of pre and post-training data in an experimental framework allows us...

Adverse Health mobility is a statistical measure of inter-temporal fluctuations in health of a group of individuals. Increased availability of panel data has led to a number of studies which analyse and compare health mobility across subgroups. Mobility can differ systematically across patient...

This paper introduces a novel approach to study the effects of common shocks on panel data models with endogenous explanatory variables when the cross section dimension (N) is large and the time series dimension (T) is fixed: this relies on conditional strong laws of large numbers and...

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...