The COVID-19 recession that started in March 2020 led to an unprecedented decline in economic activity across the globe. To fight this recession, policy makers in central banks engaged in expansionary monetary policy. This paper asks whether the measures adopted by the US Federal Reserve (Fed) have been effective in boosting real activity and calming financial markets. To measure these effects at high frequencies, we propose a novel mixed frequency vector autoregressive (MF-VAR) model. This model allows us to combine weekly and monthly information within a unified framework. Our model combines a set of macroeconomic aggregates such as industrial production, unemployment rates, and inflation with high-frequency information from financial markets such as stock prices, interest rate spreads, and weekly information on the Fed's balance sheet size. The latter set of high-frequency time series is used to dynamically interpolate the monthly time series to obtain weekly macroeconomic measures. We use this setup to simulate counterfactuals in absence of monetary stimulus. The results show that the monetary expansion caused higher output growth and stock market returns, more favorable long-term financing conditions and a depreciation of the US dollar compared with a no-policy benchmark scenario.

Obesity rates have been rising over the past decade. As more people become obese, the social stigma of obesity may be reduced. Marriage has typically been used as a positive signal to employers. If obese individuals possess other characteristics that are valued in the labour market they may no longer face a wage penalty for their physical appearance. This paper investigates the relationship between marital status, body mass index (BMI), and wages by estimating a double selection model that controls for selection into the labour and marriage markets using waves 14 and 16 (2004 and 2006) of the British Household Panel Survey. Results suggest that unobserved characteristics related to marriage and labour market participation are causing an upward bias on the BMI coefficients. The BMI coefficient is positive and significant for married men only in the double selection model. The findings provide evidence that unobserved characteristics related to success in the marriage and labour market may influence the relationship between BMI and wages.

Using a sequence of questions from the 1996 US Panel Study of Income Dynamics (PSID), we explore the implications of interpersonal differences in parent's attitudes towards risk for the academic test scores of their children focusing on information drawn from the 1997 Child Development Supplement of the PSID. In addition, we explore whether parental risk preference influences whether the child subsequently attends college. Our findings suggest that a parent's degree of risk aversion is inversely related to the academic test scores of their children as well as being inversely related to the probability of attending college post high school.