Uncovering the heterogeneity of causal effects of policies and business decisions at various levels of granularity provides substantial value to decision makers. This paper develops new estimation and inference procedures for multiple treatment models in a selection-on-observables frame-work by...

Trust affects almost all human relationships - in families, organizations, markets and politics. However, identifying the conditions under which trust, defined as people's beliefs in the trustworthiness of others, has a causal effect on the efficiency of human interactions has proven to be...

We investigate two-way causality between health and the hourly wage by employing insights from the human capital and compensating wage differential models, a panel formed from the National Longitudinal Survey of Youth 1997, and dynamic panel estimation methods in this investigation. We uncover a...

Using Integrated Household Survey data from Georgia, we measure the observable and discriminatory ethnic wage gap, among male and female workers, and the gender wage gap, among Georgians and non-Georgians. The gender wage discrimination is larger than the ethnic wage discrimination. In the...

The economics 'credibility revolution' has promoted the identification of causal relationships using difference-in-differences (DID), instrumental variables (IV), randomized control trials (RCT) and regression discontinuity design (RDD) methods. The extent to which a reader should trust claims...

We consider inference in regression discontinuity designs when the running variable only takes a moderate number of distinct values. In particular, we study the common practice of using confidence intervals (CIs) based on standard errors that are clustered by the running variable. We derive...

This paper investigates the employment effects of a targeted subsidy scheme implemented in Turkey following the 2008 crisis. The Turkish government started a subsidy program in 2008 to generate new employment for younger men and all women, which are the relatively disadvantaged groups in the...

The assumption that the assignment to treatments is ignorable conditional on attributes plays an important role in the applied statistic and econometric evaluation literature. Another term for it is conditional independence assumption. This paper discusses identification when there are more than...

Causal inference in the empirical sciences is based on counterfactuals. This paper presents the counterfactual account of causation in terms of Lewis's possible-world semantics, and reformulates the statistical potential outcome framework and its underlying assumptions using counterfactual...