We construct a two-good general equilibrium model of international trade for two small open economies where pollution from production is transmitted across borders. Governments in both countries impose emission taxes non-cooperatively. Within this framework, we examine the effect of trade...

We provide a comprehensive overview of the literature on the measurement of democracy and present an extensive update of the Machine Learning indicator of Gründler and Krieger (2016, European Journal of Political Economy). Four improvements are particularly notable: First, we produce a...

We estimate government spending multipliers in demand- and supply-driven recessions for the Euro Area. Multipliers in a moderately demand-driven recession are 2-3 times larger than in a moderately supply-driven recession, with the difference between multipliers being non-zero with very high...

We estimate government spending multipliers in demand- and supply-driven recessions for the Euro Area. Multipliers in a moderately demand-driven recession are 2-3 times larger than in a moderately supply-driven recession, with the difference between multipliers being non-zero with very high...

This paper explores theoretically and empirically the long run relation of the terms of trade (ratio of domestic and foreign prices of traded manufacturing goods) and economic growth of a pair of industrialized countries, one of which experiences a major catch-up process towards the other. It is...

We present a two-good, two-country overlapping generations model where emissions arise from production and each country has a domestic emission permit system. When one country unilaterally reduces her cap on emissions, her output available for domestic and foreign consumption diminishes more...

Business cycle indicators are important instruments for monitoring economic development. When employing indicators one usually relies on a sound statistical database. This paper deals with indicator development in a sparse data situation. Indicator building is merged with temporal...

The presence of cross-sectionally correlated error terms invalidates much inferential theory of panel data models. Recently work by Pesaran (2006) has suggested a method which makes use of cross-sectional averages to provide valid inference for stationary panel regressions with multifactor error...

This paper presents a new approach to estimation and inference in panel data models with a multifactor error structure where the unobserved common factors are (possibly) correlated with exogenously given individual-specific regressors, and the factor loadings differ over the cross section units....

This paper considers alternative approaches to the analysis of large panel data models in the presence of error cross section dependence. A popular method for modelling such dependence uses a factor error structure. Such models raise new problems for estimation and inference. This paper compares...