I examine whether elections influence perceived corruption in the public sector. Perceived corruption in the public sector is measured by the reversed Transparency International’s Perception of Corruption Index (CPI). The dataset includes around 100 democracies over the period 2012-2016, a...

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...

Fiscal sustainability tests have largely ignored the institutional setting of fiscal policy making. Fiscal equalization schemes in federal states are one such institution. We examine whether German state governments pursue sustainable fiscal policies taking into account fiscal equalization...

We investigate whether politicians award intergovernmental grants to core supporters. Our new dataset contains information on discretionary project grants from a German state government to municipalities over the period 2008-2011. The results show that discretionary grants were awarded to...

In 2009 a new law on German debt brakes was passed: state governments are not allowed to run structural deficits after 2020. Consolidation strategies initiated today influence if a state can comply with the debt brake in 2020. We describe to what extent government ideology predicts if state...

We examine how populist governments influence political culture and economic outcomes. Some Austrian communities are governed by far-right populist mayors, directly elected by a majority of voters. We exploit close elections and find that the electorate becomes more polarized under populist...

Principal-agent problems can arise when preferences of voters are not aligned with preferences of political representatives. Often the consequence of the political principal-agent problem is political catering to special interests. In this paper I provide examples of principal-agent problems...

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...

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 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...