regarding the decentralization of credits management, this study examined the effect of fiscal policies on gross domestic product of the iranian provinces over the period 2001-2009. therefore, we used dynamic panel data and employed gmm-sys method to examine the model. the results show that the government expenditure and tax multiplier coefficients are less than one in short - run but greater t...

This paper investigates the impact of the introduction of new restrictive permanent contracts on the perceived job security of workers in Spain. The perceived job security is strongly influenced by the characteristics of individuals and their distribution within groups. Comparing heterogeneous groups could make the traditional DID estimator biased. To address this issue I combined the propensit...

This paper investigates the short-term costs and benefits of apprenticeship training in Germany. It calls into question the popular stylised fact that apprenticeship training always leads to net costs during the apprenticeship period. We analyse the impact of the proportion of different occupational groups of apprentices on firm performance. We use representative matched employer–employee panel...

This paper provides a review of linear panel data models with slope heterogeneity, introduces various types of random coe¢ cients models and suggests a common framework for dealing with them. It considers the fundamental issues of statistical inference of a random coe¢ cients formulation using both the sampling and Bayesian approaches. The paper also provides a review of heterogeneous dynamic p...

We estimate hurdle rates for firms’ investments in pollution abatement technology, using ex post data. The method is based on a structural option value model where the future price of polluting fuel is the major source of uncertainty facing the firm. The empirical procedure is illustrated using a panel of firms from the Swedish pulp and paper industry, and the energy and heating sector, and the...

This paper studies the estimation of quantile regression panel duration models. We allow for the possibility of endogenous covariates and correlated individual effects in the quantile regression models. We propose a quantile regression approach for panel duration models under conditionally independent censoring. The procedure involves minimizing l1 convex objective functions and is motivated by...

This paper proposes a novel approach to measure and analyze the effect of temperature on electricity demand. This temperature effect is specified as a function of the density of temperatures observed at a high frequency with a functional coefficient, which we call the temperature response function. This approach contrasts with the usual approach to model the temperature effect as a function of ...

Using data from a repeated public good game, I conduct a Granger causality test and find that contributions and beliefs about the contributions of others decline together, with neither variable leading the other. As a result, I model contributions and beliefs using a system of simultaneous equations. Estimating the system provides evidence on the magnitude of the projection bias. Since contribu...

This paper tests a model of cigarette consumption which mixes two types of intertemporal dependencies: habit-formation and learning about the health consequences of smoking. This latter is argued to result partly from the observation of health developments, both one's own and those of other smokers in the same household. Using seven waves of British Household Panel Survey data, we present resul...

In this paper we discuss tests for residual cross section dependence in nonlinear panel data models. The tests are based on average pair-wise residual correlation coefficients. In nonlinear models, the definition of the residual is ambiguous and we consider two approaches: deviations of the observed dependent variable from its expected value and generalized residuals. We show the asymptotic con...