infonet-economy

In this paper, we estimate the risk spillovers among 74 U.S. REITs using the statedependent sensitivity value-at-risk (SDSVaR) approach. This methodology allows for the quantification of the spillover size as a function of a company's financial condition (tranquil, normal, and volatile REIT prices). We show that the size of risk spillovers is more than twice as large when REITs…

In electricity markets globally, market participants and policymakers increasingly focus on integrating adjacent, yet separate market areas via cross-border trade in electricity. Based on a discussion of the institutional framework for organizing cross-border trade, this paper analyzes how spot and futures prices for wholesale electricity are affected by different degrees of market…

What happens to children's long-run cognitive development when introducing universal high-quality childcare for 3-year-olds mainly crowds out family care? To answer this question, we take advantage of a sizeable expansion of publicly subsidized full-time high-quality childcare for 3-year-olds in Spain in the early 1990s. Identification relies on variation in the initial speed of…

What is the impact of after-school center-based care on the development of primary school-aged children? Answering this question is challenging due to non-random selection of children into after-school center-based care. We tackle this challenge using detailed data of the German Child Panel and employing a value-added method. While we do not find significant effects on average, our…

Identification in most sample selection models depends on the independence of the regressors and the error terms conditional on the selection probability. All quantile and mean functions are parallel in these models; this implies that quantile estimators cannot reveal any - per assumption non-existing - heterogeneity. Quantile estimators are nevertheless useful for testing the…

The decomposition of gender or ethnic wage gaps into explained and unexplained components (often with the aim to assess labor market discrimination) has been a major research agenda in empirical labor economics. This paper demonstrates that conventional decompositions, no matter whether linear or non-parametric, are equivalent to assuming a (probably too) simplistic model of…

We show how instrumental variable and matching estimators can be combined in order to identify a broader array of treatment effects. Instrumental variable (IV) estimators are known to estimate effects only for the compliers, representing a subset of the entire population. By combining IV with matching, we can estimate the treatment effects for the always- and never-takers as well.…

This paper investigates regional differences in the perception of corruption and informal practices among Ukrainian firms. Using two different data sets from Ukraine we show that perceived corruption differs significantly across regions, even when taking into account the size, industry, workforce composition, and other characteristics of the firms based on propensity score matching.…

This paper develops a nonparametric methodology for treatment evaluation with multiple outcome periods under treatment endogeneity and missing outcomes. We use instrumental variables, pre-treatment characteristics, and short-term (or intermediate) outcomes to identify the average treatment effect on the outcomes of compliers (the subpopulation whose treatment reacts on the instrument…