Spending elasticities measure the reaction of different government spending components to the business cycle. They are important inputs for fiscal forecasts, and they are particularly relevant in the context of European Union (EU) fiscal rules, as elasticity estimates enter the estimation of...

In this paper, I assess whether earnings-dependent maternity leave positively impacts fertility and narrows the baby gap between highly educated (high-earning) and less-educated (low-earning) women. I exploit a major maternity leave benefit reform in Germany that considerably increased the...

We draw lessons from existing work and our own analysis on the effects of parental leave and other interventions aimed at aiding families. The outcomes of interest are female employment, gender gaps in earnings and fertility. We begin with a discussion of the historical introduction of family...

In this paper, we address the issue of spurious correlation in the production of health in a systematic way. Spurious correlation entails the risk of linking health status to medical (and nonmedical) inputs when no links exist. This note first presents the bounds testing procedure as a method to...

Past research has provided evidence of the role of some personal characteristics as risk factors for depression. However, few studies have examined jointly their specific impact and whether country characteristics change the probability of being depressed. In general, this is due to the use of...

We empirically analyze the heterogeneous welfare effects of unemployment insurance and social assistance. We estimate a structural life-cycle model of singles' and married couples' labor supply and savings decisions. The model includes heterogeneity by age, education, wealth, sex and household...

This document analyzes the patterns of fiscal and monetary policy in five economies of the Latin American Southern Cone (Argentina, Brazil, Chile, Paraguay and Uruguay) during four episodes of international crises: 1994, 1997-1999, 2001 and 2008. In contrast with earlier episodes when most...

This paper provides a comprehensive early warning system (EWS) that balances the classical signaling approach with the best-realized machine learning (ML) model for predicting fiscal stress episodes. Using accumulated local effects (ALE), we compute a set of thresholds for the most informative...