This study evaluates the effectiveness of contracting out mandatory publicly provided counselling and training for long-term unemployed in Flanders (Belgium) to private for-profit and non-profit organisations (FPOs and NPOs). A multivariate transition model exploits timing-of-events and novel...

Under correlated heterogeneity, the commonly used two-way fixed effects estimator is biased and can lead to misleading inference. This paper proposes a new trimmed mean group (TMG) estimator which is consistent at the irregular rate of n 1/3 even if the time dimension of the panel is as small as...

This paper provides a method for the analysis of the spatial and temporal diffusion of shocks in a dynamic system. We use changes in real house prices within the UK economy at the level of regions to illustrate its use. Adjustment to shocks involves both a region specific and a spatial effect....

An understanding of the spatial dimension of economic and social activity requires methods that can separate out the relationship between spatial units that is due to the effect of common factors from that which is purely spatial even in an abstract sense. The same applies to the empirical...

We evaluate the effect of relaxing fiscal rules on policy outcomes applying a quasi-experimental research design. In 1999, the Italian central government introduced fiscal rules aimed at imposing fiscal discipline on municipal governments, and in 2001 the rules were relaxed for municipalities...

This paper develops a unified framework for fixed and random effects estimation of higher-order spatial autoregressive panel data models with spatial autoregressive disturbances and heteroskedasticity of unknown form in the idiosyncratic error component. We derive the moment conditions and...

In this paper, we investigate the use of interactive effect or linear factor models in regional policy evaluation. We contrast treatment effect estimates obtained by Bai (2009)'s least squares method with the popular difference in differences estimates as well as with estimates obtained using...

This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial coefficients differ across the spatial units. It derives conditions under which the spatial coefficients are identified and develops a quasi maximum likelihood (QML) estimation...

This paper develops an estimator for higher-order spatial autoregressive panel data error component models with spatial autoregressive disturbances, SARAR(R,S). We derive the moment conditions and optimal weighting matrix without distributional assumptions for a generalized moments (GM)...

Previous studies on electoral competition show that fiscal variables are manipulated by incumbent politicians in order to be re-elected. This phenomenon has been addressed by the literature on electoral budget cycle and, in a decentralised economy, by the literature on yardstick competition. Our...