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.

Do People Behave in Experiments as in the Field? - Evidence from Donations

Abstract: Laboratory experiments are an important methodology in economics, especially in the field of behavioral economics. However, it is still debated to what extent results from laboratory experiments can be applied to field settings. One highly important question with respect to the external validity of experiments is whether the same individuals act in experiments as they would in the field. This paper presents evidence on how individuals behave in donation experiments and how the same individuals behave in a naturally occurring decision situation on charitable giving. The results show that behavior in experiments is correlated with behavior in the field. The results are robust to variations in the experimental setting, and the correlation between experimental and field behavior is between 0.25 and 0.4. We discuss whether this correlation should be interpreted as strong or weak and what consequences the findings have for experimental economics.

Consistent Estimation of the Fixed Effects Ordered Logit Model

Abstract: The paper re-examines existing estimators for the panel data fixed effects ordered logit model, proposes a new one, and studies the sampling properties of these estimators in a series of Monte Carlo simulations. There are two main findings. First, we show that some of the estimators used in the literature are inconsistent, and provide reasons for the inconsistency. Second, the new estimator is never outperformed by the others, seems to be substantially more immune to small sample bias than other consistent estimators, and is easy to implement. The empirical relevance is illustrated in an application to the effect of unemployment on life satisfaction.

Trends in U.S. Wage Inequality: Re-Assessing the Revisionists

Abstract: A large literature documents a substantial rise in U.S. wage inequality and educational wage differentials over the past several decades and finds that these trends can be primarily accounted for by shifts in the supply of and demand for skills reinforced by the erosion of labor market institutions affecting the wages of low- and middle-wage workers. Drawing on an additional decade of data, a number of recent contributions reject this consensus to conclude that (1) the rise in wage inequality was an episodic event of the first-half of the 1980s rather than a secular phenomenon, (2) this rise was largely caused by a falling minimum wage rather than by supply and demand factors; and (3) rising residual wage inequality since the mid-1980s is explained by confounding effects of labor force composition rather than true increases in inequality within detailed demographic groups. We reexamine these claims using detailed data from the Current Population Survey and find only limited support. Although the growth of overall inequality in the U.S. slowed in the 1990s, upper tail inequality rose almost as rapidly during the 1990s as during the 1980s. A decomposition applied to the CPS data reveals large and persistent rise in within-group earnings inequality over the past several decades, controlling for changes in labor force composition. While changes in the minimum wage can potentially account for much of the movement in lower tail earnings inequality, strong time series correlations of the evolution of the real minimum wage and upper tail wage inequality raise questions concerning the causal interpretation of such relationships. We also find that changes in the college/high school wage premium appear to be well captured by standard models emphasizing rapid secular growth in the relative demand for skills and fluctuations in the rate of growth of the relative supply of college workers - though these models do not accurately predict the slowdown in the growth of the college/high-school gap during the 1990s. We conclude that these patterns are not adequately explained by either a 'unicausal' skill-biased technical change explanation or a revisionist hypothesis focused primarily on minimum wages and mechanical labor force compositional effects. We speculate that these puzzles can be partially reconciled by a modified version of the skill-biased technical change hypothesis that generates a polarization of skill demands.

Google econometrics and unemployment forecasting

Abstract: The current economic crisis requires fast information to predict economic behavior early, which is difficult at times of structural changes. This paper suggests an innovative new method of using data on internet activity for that purpose. It demonstrates strong correlations between keyword searches and unemployment rates using monthly German data and exhibits a strong potential for the method used.

Trust, Inequality and Ethnic Heterogeneity

Abstract: Using a large Australian social survey, combined with precise data on neighbourhood characteristics, I explore the factors that affect trust at a local level (localised trust) and at a national level (generalised trust). Trust is positively associated with the respondent's education, and negatively associated with the amount of time spent commuting. At a neighbourhood level, trust is higher in affluent areas, and lower in ethnically and linguistically heterogeneous communities, with the effect being stronger for linguistic heterogeneity than ethnic heterogeneity. Linguistic heterogeneity reduces localised trust for both natives and immigrants, and reduces generalised trust only for immigrants. Instrumental variables specifications show similar results. In contrast to the USA, there is no apparent relationship between trust and inequality across neighbourhoods in Australia.