Consideration of latent heterogeneity is of special importance in non linear models for gauging correctly the effect of explaining variables on the dependent variable. This paper adopts the stratified model-based clustering approach for modeling latent heterogeneity for panel probit models....

This paper contributes to the literature on subjective well-being (SWB) by taking into account different aspects of life, called domains, such as health, financial situation, job, leisure, housing, and environment. We postulate a two-layer model where individual total SWB depends on the...

This paper analyzes the predictability of emerging market currency crises by comparing the often used probit model to a new method, namely a multi-layer perceptron artificial neural network (ANN) model. According to the results, both models were able to signal currency crises reasonably well...

This paper considers the estimation of binary choice panel data models with discrete endogenous regressors. We present a switching probit model which accounts for selectivity bias as well as for other forms of time invariant unobserved heterogeneity. Individual effects are allowed to be...

This paper develops a two-sector general equilibrium model in which firms in the primary economy have to create workplaces prior to production and product market competition. For this, we introduce the endogenous sunk cost approach with two-stage decisions of firms from IO in the macro-labor...

The Wooldridge method is based on a simple and novel strategy to deal with the initial values problem in the nonlinear dynamic random-effects panel data models. This characteristic of the method makes it very attractive in empirical applications. However, its finite sample performance is not...

In this paper we use a dynamic structural life-cycle model to analyze the employment, fiscal and welfare effects induced by unemployment insurance. The model features a detailed specification of the tax and transfer system, including unemployment insurance benefits which depend on an...

This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can easily deal with the commonly encountered and widely discussed initial conditions problem, as well as the...

In this paper we use a dynamic structural life-cycle model to analyze the employment, fiscal and welfare effects induced by unemployment insurance. The model features a detailed specification of the tax and transfer system, including unemployment insurance benefits which depend on an...

The paper re-examines existing estimators for the panel data fixed effects ordered logit model, proposes a new one, and studies the sampling properties of these estimators in a series of Monte Carlo simulations. There are two main findings. First, we show that some of the estimators used in the...