A tradition from Knight (1921) argues that more risk tolerant individuals are more likely to become entrepreneurs, but perform worse. We test these predictions with two risk tolerance proxies: stock market participation and personal leverage. Using investment data for 400,000 individuals, we...

We collect information on prenatal testosterone in a large sample of entrepreneurs by measuring the length of their 2th to 4th fingers in face to face interviews. Entrepreneurs with higher exposure to prenatal testosterone (lower second to fourth digit ratio) manage larger firms, are matched...

The ratio of second to fourth digit (2D4D) has been shown to correlate negatively with entrepreneurial skills and financial success. We document that in a sample of entrepreneurs women have a lower 2D4D ratio than men, in sharp contrast with the features of the distribution in random samples....

We analyse a micro-panel data set to investigate the effect of regional institutional environment and economic factors on Russian new firm entry rates across time, industries and regions. The paper builds on novel databases and exploits inter-regional variation in a large number of institutional...

We study the impact of directors with foreign experience on firms in emerging markets. To establish causality, we use a unique dataset from China and exploit that at different times, Chinese provinces introduced policies to attract highly talented emigrants. These policies led to an exogenous...

We examine the relation between bureaucratic corruption and firm performance in CEE countries. While previous research uses data from BEEPS, which suffers from excessive non-reporting of corporate performance, we combine reliable firm financials from the Amadeus database with information on...

Using a novel way to identify relationship and transaction banks, we study how banks’ lending techniques affect funding to SMEs over the business cycle. For 21 countries we link the lending techniques that banks use in the direct vicinity of firms to these firms’ credit constraints at two...

This Paper is the result of the Bank of Italy-CEPR project to construct a monthly coincident indicator of the business cycle of the euro area. The index is estimated on the basis of a harmonized data set of monthly statistics of the euro area (951 series) which we constructed from a variety of...

This paper shows how particle filtering allows us to undertake likelihood-based inference in dynamic macroeconomic models. The models can be nonlinear and/or non-normal. We describe how to use the output from the particle filter to estimate the structural parameters of the model, those...