This paper explores the nuanced relationship between fiscal decentralization and fiscal sustainability. Employing panel data analyses, it scrutinizes how decentralization influences fiscal discipline across different governmental levels. Results for 185 countries show that while tax...

We examine whether US and German state governments pursue sustainable fiscal policies taking into account fiscal transfers. Using panel data techniques we investigate whether the debt-to-GDP ratio had a positive influence on the primary surplus (Bohn-model). We show that including/excluding...

In this paper, we extend Henning Bohn's (2008) fiscal sustainability test by allowing for slope heterogeneity and cross-sectional dependence (CD). In particular, our econometric approach is the first that allows fiscal reaction functions (FRF) to capture unobserved heterogeneous effects from...

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)...

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 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 studies how variations in tax rates and profitability affect the (unconditional) quantiles of the distribution of the leverage of European foreign owned subsidiaries in the presence of unobserved company characteristics, possibly correlated with their observable dimensions. To achieve...

This paper considers the problem of identification, estimation and inference in the case of spatial panel data models with heterogeneous spatial lag coefficients, with and without (weakly) exogenous regressors, and subject to heteroskedastic errors. A quasi maximum likelihood (QML) estimation...

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 describes the empirical evidence on partisan politics in OECD panel studies. I elaborate on the research designs, the measurement of government ideology and why the empirical studies do not and cannot derive causal effects. Discussing about 100 panel data studies, the results indicate...