abstract the theory of international tax competition suggests that governments attempt to attract mobile capital bases by undercutting the foreign capital tax rate. an analysis of the role that state capacity plays in tax policymaking under international pressures is, however, missing. the central contribution of our study is to highlight the importance of the interaction between state capacity...

This paper analyzes whether a wealth of information contained in 126 monthly series used by large-scale Bayesian Vector Autoregressive (LBVAR) models, as well as Factor Augmented Vector Autoregressive (FAVAR) models, either Bayesian or classical, can prove to be more useful in forecasting real house price growth rate of the nine census divisions of the US, compared to the small-scale VAR models...

We evaluated a laser-based noncontacting method to measure the elastic anisotropy of horizontal shale cores. Whereas conventional transducer data contained an ambiguity between phase and group velocity measurements, small laser source and receiver footprints on typical core samples ensured group velocity information in our laboratory measurements. With a single dense acquisition of group veloci...

This paper presents alternative models of behavior of the Argentine gasoline market and applies parametric estimations to analyze the effect that the Repsol-YPF merger had on that market. Using monthly data for the different provinces of Argentina during 1999, we make an evaluation of that effect. We conclude that we cannot reject the hypothesis that the market was a Cournot oligopoly before th...

Earlier studies on income inequality and crime have typically used total income or total earnings. However, it is quite likely that it is changes in permanent rather than in transitory income that affects crime rates. The purpose of this paper is therefore to disentangle the two effects by, first, estimating region-specific inequality in permanent and transitory income and, second, estimating c...

This paper describes an algorithm to compute the distribution of conditional forecasts, i.e. projections of a set of variables of interest on future paths of some other variables, in dynamic systems. The algorithm is based on Kalman filtering methods and is computationally viable for large models that can be cast in a linear state space representation. We build large vector autoregressions (VAR...

For the past few years, regionalism has been progressing in East Asia with the likes of China, Japan, and Korea (CJK) as the most prominent actors. Unfortunately, with the absence of trade arrangement amongst the CJK, the present regional trade scheme is not sufficient to reach sustainability. This paper uncovers the inefficient scheme through Engle-Granger Cointegration and Error Correction Me...

We propose a simple but effective estimation procedure to extract the level and the volatility dynamics of a latent macroeconomic factor from a panel of observable indicators. Our approach is based on a multivariate conditionally heteroskedastic exact factor model that can take into account the heteroskedasticity feature shown by most macroeconomic variables and relies on an iterated Kalman fil...

This paper examines the association between government ownership and bank stability over 1997-2010 across a sample of 103 countries. With a continuous variable to proxy for government ownership, our system GMM estimates indicate that the association between government ownership and bank stability depends on a country’s economic development and regulatory quality. In developed, high income count...

This paper proposes a quantile regression estimator for a panel data model with interactive effects potentially correlated with the independent variables. We provide conditions under which the slope parameter estimator is asymptotically Gaussian. Monte Carlo studies are carried out to investigate the finite sample performance of the proposed method in comparison with other candidate methods. Th...