The empirical finding that entrepreneurs tend to invest a large share of their wealth in their own firms despite comparably low returns and high risk has become known as the private equity premium puzzle. This paper provides evidence supporting the hypothesis that lower risk aversion of...

This study is motivated by the development of credit-related instruments and signals of stock price movements of large banks during the recent financial crisis. What is common to most of the empirical studies in this field is that they concentrate on modeling the conditional mean. However,...

Stated survey measures of risk preferences are increasingly being used in the literature, and they have been compared to revealed risk aversion primarily by means of experiments such as lottery choice tasks. In this paper, we investigate educational choice, which involves the comparison of risky...

Why are female entrepreneurs so rare? Women have both to a lower entry rate into selfemployment and a higher exit rate in Germany. To explain the gender gap, a structural microeconometric model of the transition rates is estimated, which includes a standard risk aversion parameter. As inputs...

We use a repeated incentivized risk experiment in rural Thailand to test determinants of changes in the level of individual risk aversion over time. We find that risk aversion significantly changes between 2008 and 2013 as a result of macro- andmicro-level shocks. Strong macroeconomic recovery...

This paper systematically investigates whether different kinds of personality characteristics influence entrepreneurial development. On the basis of a large, representative household panel survey, we examine the extent to which the Big Five traits and further personality characteristics, which...

In vector autoregressive analysis confidence intervals for individual impulse responses are typically reported to indicate the sampling uncertainty in the estimation results. A range of methods are reviewed and a new proposal is made for constructing joint confidence bands, given a prespecified...

There is evidence that estimates of long-run impulse responses of structural vector autoregressive (VAR) models based on long-run identifying restrictions may not be very accurate. This finding suggests that using short-run identifying restrictions may be preferable. We compare structural VAR...

The performance of information criteria and tests for residual heteroskedasticity for choosing between different models for time-varying volatility in the context of structural vector autoregressive analysis is investigated. Although it can be difficult to find the true volatility model with the...

Different bootstrap methods and estimation techniques for inference for structural vector autoregressive (SVAR) models identified by generalized autoregressive conditional heteroskedasticity (GARCH) are reviewed and compared in a Monte Carlo study. The bootstrap methods considered are a wild...