This paper provides new evidence on the sustainability of public finances in German states (Laender) by exploiting a newly compiled database covering the years 1950]2011. Unlike previous studies on Germany, we analyze fiscal sustainability by applying gsecond generationh panel cointegration...

In this paper we analyze the sustainability of public finances in the states (Laender) of the Federal Republic of Germany using an unprecedentedly comprehensive fiscal dataset for the time period from 1950 to 2011 for West German Laender and 1991 to 2011 for East German Laender, respectively. In...

The paper examines the sustainability of U.S. fiscal policy, finding substantial evidence in favor. I summarize the U.S. fiscal record from 1792-2003, critically review sustainability conditions and their testable implications, and apply them to U.S. data. I particularly emphasize the...

This study assesses fiscal sustainability in contemporary Spain at the regional level. Spain consists of 17 autonomous regions, two fiscal regimes differing in taxing autonomy, and two path-dependent types of communities with more and less legislatively recognized autonomy. Three of the 17...

Measurement error causes a downward bias when estimating a panel data linear regression model. The panel data context offers various opportunities to derive moment conditions that result in consistent GMM estimators. We consider three sources of moment conditions: (i) restrictions on the...

The purpose of this paper is to compare the cost efficiency of private and public property insurance providers in Switzerland. The most commonly used measure for this kind of exercise is the Claims / Premium ratio. We argue that this measure may give strongly biased results. We develop a simple...

The perpetual inventory method used for the construction of education data per country leads to systematic measurement error. This paper analyses the effect of this measurement error on GDP regressions. There is a systematic difference in the education level between census data and observations...