This paper studies Comprehensive Performance Assessment, an explicit incentive scheme for local government in England. Motivated by a simple theoretical political agency model, we predict that CPA should increase service quality and local taxation, but have an ambiguous effect on the efficiency...

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...

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...

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)...

Recent research in international economics highlights the role of interdependencies of investment decisions and sales of multinational firms. Previous work focused on and provided evidence for aggregate flows or stocks of foreign direct investment, showing that interdependence declines in...

This paper presents a generalized moments (GM) approach to estimating an R-th order spatial regressive process in a panel data error component model. We derive moment conditions to estimate the parameters of the higher order spatial regressive process and the optimal weighting matrix required to...

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...

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...

This paper considers a class of GMM estimators for general dynamic panel models, allowing for cross sectional dependence due to spatial lags and due to unspecified common shocks. We significantly expand the scope of the existing literature by allowing for endogenous spatial weight matrices,...

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...