Institute for the Study of Labor

About: Institute for the Study of Labor is a nonprofit organization based out in Bonn, Germany. It is known for research contribution in the topics: Wage & Unemployment. The organization has 2039 authors who have published 13475 publications receiving 439376 citations.

Risk Premiums and Macroeconomic Dynamics in a Heterogeneous Agent Model

Abstract: We analyze financial risk premiums and real economic dynamics in a DSGE model with three types of agents - shareholders, bondholders and workers - that differ in participation in the capital market and in attitude towards risk and intertemporal substitution. Aggregate productivity and distribution risks are transferred across these agents via the bond market and via an efficient labor contract. The result is a combination of volatile returns to capital and a highly cyclical consumption process for the shareholders, which are two important ingredients for generating high and countercyclical risk premiums. These risk premiums are consistent with a strong propagation mechanism through an elastic supply of labor, rigid real wages and a countercyclical labor share. Based on the empirical estimates for the two sources of real macroeconomic risk, the model generates significant and plausible time variation in both bond and equity risk premiums. Interestingly, the single largest jump in both the risk premium and the price of risk is observed during the current recession.

Inference on Causal Effects in a Generalized Regression Kink Design

Abstract: We consider nonparametric identification and estimation in a nonseparable model where a continuous regressor of interest is a known, deterministic, but kinked function of an observed assignment variable. We characterize a broad class of models in which a sharp “Regression Kink Design” (RKD or RK Design) identifies a readily interpretable treatment-on-the-treated parameter (Florens, Heckman, Meghir, and Vytlacil (2008)). We also introduce a “fuzzy regression kink design” generalization that allows for omitted variables in the assignment rule, noncompliance, and certain types of measurement errors in the observed values of the assignment variable and the policy variable. Our identifying assumptions give rise to testable restrictions on the distributions of the assignment variable and predetermined covariates around the kink point, similar to the restrictions delivered by Lee (2008) for the regression discontinuity design. Using a kink in the unemployment benefit formula, we apply a fuzzy RKD to empirically estimate the effect of benefit rates on unemployment durations in Austria.

Civil Wars Beyond Their Borders: The Human Capital and Health Consequences of Hosting Refugees

Abstract: Between 1993 and 1994, extremist militia groups carried out the extermination of ethnic Tutsis and moderate Hutus in the genocides of Burundi and Rwanda. Nearly one million people were killed and thousands were forcibly uprooted from their homes. Over the course of a few months, Kagera - a region in northwestern Tanzania - received more than 500,000 refugees from these wars. This region is home to a series of geographic natural barriers, which resulted in variation in refugee intensity. I exploit this variation to investigate the short and long run causal effects of hosting refugees on the outcomes of local children. Reduced-form estimates offer evidence of adverse impacts almost 1.5 years after the shock: a worsening of children's anthropometrics of 0.3 standard deviations, an increase of 15 to 20 percentage points in the incidence of infectious diseases and an increase of roughly 7 percentage points in mortality for children under five. I also exploit intra- and inter-cohort variation and find that childhood exposure to this massive arrival of refugees reduced height in early adulthood by 1.8 cm (1.2%), schooling by 0.2 years (7.1%) and literacy by 7 percentage points (8.6%). Designs using the distance from the village to the border with Rwanda as an alternative instrumental strategy for refugee intensity support the findings. The estimates are robust across a variety of samples, specifications and estimation methods and provide evidence of a previously undocumented indirect effect of civil wars on the well-being of children and subsequent economic growth in refugee-hosting communities.

Spanish Unemployment: The End of the Wild Ride?

Abstract: Over the last quarter century, the Spanish unemployment rate has gone from 3.5 per cent to 24 per cent of the labor force, and then back to 13 per cent. In this paper we describe this extraordinary evolution more in detail, discuss the main shocks and institutions behind it, and provide a set of policy implications derived from our analysis.

Instrumental Variables Estimation of Average Treatment Effects in Econometrics and Epidemiology

Abstract: The average effect of intervention or treatment is a parameter of interest in both epidemiology and econometrics. A key difference between applications in the two fields is that epidemiologic research is more likely to involve qualitative outcomes and nonlinear models. An example is the recent use of the Vietnam era draft lottery to construct estimates of the effect of Vietnam era military service on civilian mortality. In this paper. I present necessary and sufficient conditions for linear instrumental variables. techniques to consistently estimate average treatment effects in qualitative or other nonlinear models. Most latent index models commonly applied to qualitative outcomes in econometrics fail to satisfy these conditions, and monte carlo evidence on the bias of instrumental estimates of the average treatment effect in a bivariate probit model is presented. The evidence suggests that linear instrumental variables estimators perform nearly as well as the correctly specified maximum likelihood estimator. especially in large samples. Linear instrumental variables and the normal maximum likelihood estimator are also remarkably robust to non-normality.