We analyze non-cooperative commodity taxation in a symmetric two-country trade model characterized by monopolistic competition and international firm and capital mobility. In this setting, taxes in one country affect foreign welfare through the relocation of mobile firms and through changes in...

This book uses a computable general equilibrium framework to evaluate recent value-added tax reform proposals in the European Union from a welfare point of view. The individual chapters deal with the development of value-added taxation in Europe, the main institutional features of different...

Tax competition has long been studied using panel models. According to this approach, each country's tax rate is assumed to depend on a weighted average of the tax rates applied in the rest of the world, where weights are exogenous. As a consequence, the estimated reaction functions of countries...

Although scholars recognize that time-series-cross-section data typically correlate across both time and space, they tend to model temporal dependence directly, often by lags of dependent variables, but to address spatial interdependence solely as a nuisance to be "corrected" by FGLS or to which...

Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series, due to data and computing constraints that were binding until the recent past. Nowadays large datasets are readily available, and models with hundreds of parameters are fastly...

In this paper we study the zero frequency spectral properties of fractionally cointegrated long memory processes and introduce a new frequency domain principal components estimator of the cointegration space and the factor loading matrix for the long memory factors. We find that for fractionally...

Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series, due to data and computing constraints that were binding until the recent past. Nowadays large datasets are readily available, and models with hundreds of parameters are fastly...