This study aims to investigate the cost efficiency of Turkish commercial banks over the restructuring period of the Turkish banking system, which coincides with the 2008 financial global crisis and the 2010 European sovereign debt crisis. To this end, within the stochastic frontier framework, we...

We provide a comprehensive overview of latent Markov (LM) models for the analysis of longitudinal data. The main assumption behind these models is that the response variables are conditionally independent given a latent process which follows a first-order Markov chain. We first illustrate the...

Hedonic price regressions have become a standard tool to study how prices of commodity goods are related to quality attributes. In this paper, we extend the traditional price specification by incorporating three sources of unobserved heterogeneity related to sellers, buyers, and matches between...

In this paper, we study to what extent a movie’s box-office receipts are affected by the temporal distribution of rival films. We propose a reduced-form empirical model to measure and test competition effects among films released close to each other in a standard regression framework. Such an...

<Para ID="Par1">We provide a comprehensive overview of latent Markov (LM) models for the analysis of longitudinal categorical data. We illustrate the general version of the LM model which includes individual covariates, and several constrained versions. Constraints make the model more parsimonious and allow us...</para>

We explain the proliferation of panel data studies in terms of (i) data availability; (ii) the heightened capacity for modeling the complexity of human behavior than a single cross-section or time series data can possibly allow; and (iii) challenging methodology. Advantages and issues of panel...

In this paper I develop an intertemporal discrete choice model of labor supply. The framework incorporates the nonlinearities in the household budget set and accounts for state dependence in labor supply. Based on panel data for Germany (SOEP), I estimate this model using a dynamic conditional...

This paper considers the estimation of a dynamic ordered probit with fixed effects, with an application to self-assessed health status. The estimation of nonlinear panel data models with fixed effects by MLE is known to be biased when T is not very large. The problem is specially severe in our...