This chapter describes the main impact evaluation methods, both experimental and quasi-experimental, and the statistical model underlying them. Some of the most important methodological advances to have recently been put forward in this field of research are presented. We focus not only on the...

Understanding who in the population is psychologically resilient in the face of major life events, and who is not, is important for policies that target reductions in disadvantage. In this paper we construct a measure of adult resilience, document its distribution, and test its predictability by...

This paper describes a moments estimator for a standard state-space model with coefficients generated by a random walk. A penalized least squares estimation is linked to the GLS (Aitken) estimates of the corresponding linear model with time-invariant parameters. The VC estimator is a moments...

We identify the individual resources that predicted psychological resilience during the COVID-19 lockdown. Using UK data, we compare psychological distress observed before COVID-19 with distress measured in April, May, and June 2020. After matching respondents on key characteristics, we find...

We provide empirical evidence on the impact of oil supply shocks on global aggregates. To do this, we first extract structural oil supply shocks from a standard oil-price determination model found in the literature. Impulse response functions are then estimated using local projections. This...

This note uses industry data and a unique dataset of small and medium-sized merchants to provide insights into the acquirer-merchant market in Canada. Three main findings are presented. First, smaller merchants pay their acquirer more for every dollar of card payment than larger merchants....

We study how the large and unexpected increase in the minimum wage in Poland impacted the gender wage gap. For this purpose, we employ a distribution regression model coupled with a difference-in-differences estimator that recovers changes in the gender wage gap with minimum assumptions on the...

We apply a relatively novel leading-lagging (LL) method to four leading and one lagging indexes for industrial production (IP) in Germany. We obtain three sets of results. First, we show that the sentiment-based ifo index performs best in predicting the general changes in IP (−0.596, range...

The National University of Colombia boasts a clear and egalitarian salary regime for its academic staff. Apart from rules concerning maternity and paternity leaves, which follow national Colombian legislation, the Academic Personal Statute is completely free of gender-based norms. Salaries are...

This paper uses information theoretic methods to introduce a new class of probability distributions and estimators for competing explanations of the data in the binary choice model. No explicit parameterization of the function connecting the data to the Bernoulli probabilities is stated in the...