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This paper identifies the effect of variation in government-backed loan supply on unemployment exploiting regional variation in the Swiss COVID-19 lending program. The rules of the program introduce variation in loan supply across Cantons. This variation helps disentangling supply from demand effects. Higher loan supply reduces unemployment. Increasing the volume by CHF 100,000 saves between 0.22 and 0.29 jobs. Therefore, loan supply has to expand by between CHF 344,800 and CHF 454,500 to save one job. Taking into account that some of the borrowers default, saving one job costs the government between CHF 39,700 and CHF 52,400 per year. These costs are somewhat lower than unemployment benefits associated with the median income.

This paper documents nominal stability in Switzerland from 1805 to 2013 using a data set on annual price, wage and nominal GDP changes. The trends of these indicators are estimated by an unobserved-components stochastic-volatility model in order to control for short-term fluctuations and measurement error. Based on a narrative analysis of these trends five main findings emerge. (i) Fiat currency regimes in Switzerland provided a relatively stable monetary background even compared to the metal-currency regimes before WW1. (ii) The flexible inflation targeting regime adopted in December 1999 has performed best over the last two centuries measured by today's definition of nominal stability. (iii) Fiat currency regimes without clearly communicated nominal price anchor (Bretton Woods System and monetary targeting) were characterised by an inflation bias. (iv) The metal-currency regimes (competing currencies and bimetallism before World War 1, and to some extent flexible inflation targeting, were associated with a deflation bias. (v) Persistent deflations in terms of the CPI only occurred under metallic regimes before WW2. These episodes were accompanied by falling nominal GDP, falling employment but relatively stable hourly wages.

Good governance and political corruption should be considered when aid flows to governments.

Examines arguments about causes and effects of and cures for political corruption, impact of reforms, and policy options; international in scope.

We estimate a multivariate unobserved components stochastic volatility model to explain the dynamics of a panel of six exchange rates against the US dollar. The empirical model is based on the assumption that two countries' monetary policy strategies may be well described by Taylor rules with a time‐varying inflation target, a time‐varying natural rate of unemployment, and interest rate smoothing. Compared to the existing literature, our model simultaneously provides estimates of the latent components included in a typical Taylor rule specification and the model‐based real exchange rate. Our estimates closely track major movements along with important time series properties of real and nominal exchange rates across all currencies considered, outperforming a benchmark model that does not account for changes in trend inflation and trend unemployment. More precisely, the proposed approach improves on competing models in tracking the actual evolution of the real exchange rate in terms of simple correlations while it appreciably improves on simpler competitors in terms of matching the persistence of the real exchange rate.