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New Insights on Unemployment Duration andPost Unemployment Earnings in Germany:Censored Box-Cox Quantile Regression at Work

Fitzenberger, Bernd; Wilke, Ralf A. - Forschungsinstitut zur Zukunft der Arbeit <Bonn> - 2007

In light of nonstationary search theory (van den Berg, 1990), this paper estimates the effectsof benefit entitlement periods and the size of unemployment benefits on unemploymentdurations and post-unemployment earnings in West Germany...

Persistent link: https://www.econbiz.de/10005863253

A Simple Method to Visualize Results in Nonlinear Regression Models

Henderson, Daniel J. - 2012

A simple graphical approach to presenting results from nonlinear regression models is described. In the face of multiple covariates, 'partial mean' plots may be unattractive. The approach here is portable to a variety of settings and can be tailored to the specific application at hand. A simple...

Persistent link: https://www.econbiz.de/10013099782

Treatment Evaluation in the Case of Interactions within Markets

Ferracci, Marc - 2010

individual's outcome depends not only on the assigned treatment status but also on (features of) the distribution of the assigned … treatments in his market. To evaluate how the distribution of treatments within a market causally affects the average effect … first one focuses on the distribution of the treatment within markets and between individuals and the second step addresses …

Persistent link: https://www.econbiz.de/10013148327

Evaluating Nonexperimental Estimators for Multiple Treatments : Evidence from Experimental Data

Flores, Carlos - 2009

This paper assesses the effectiveness of unconfoundedness-based estimators of mean effects for multiple or multivalued treatments in eliminating biases arising from nonrandom treatment assignment. We evaluate these multiple treatment estimators by simultaneously equalizing average outcomes among...

Persistent link: https://www.econbiz.de/10013155543

Quantile Treatment Effects in the Regression Discontinuity Design : Process Results and Gini Coefficient

Frölich, Markus - 2014

the outcome distribution. We propose uniformly consistent estimators for both potential outcome distributions (treated and …-dimensional nonparametric regression. We apply the proposed estimators to estimate the effects of summer school on the distribution of school …

Persistent link: https://www.econbiz.de/10013069679

A Permutation Test and Estimation Alternatives for the Regression Kink Design

Ganong, Peter - 2014

inference, we propose that researchers construct a distribution of placebo estimates in regions without a policy kink. We apply …

Persistent link: https://www.econbiz.de/10013051441

Unconditional Quantile Treatment Effects Under Endogeneity

Frölich, Markus; Melly, Blaise - 2021

This paper develops IV estimators for unconditional quantile treatment effects (QTE) when the treatment selection is endogenous. In contrast to conditional QTE, i.e. the effects conditional on a large number of covariates X, the unconditional QTE summarize the effects of a treatment for the...

Persistent link: https://www.econbiz.de/10013324857

Identification of Treatment Effects on the Treated with One-Sided Non-Compliance

Frölich, Markus; Melly, Blaise - 2021

Traditional instrumental variable estimators do not generally estimate effects for the treated population but for the unobserved population of compliers. They do identify effects for the treated when there is one-sided perfect non-compliance. However, this property is lost when covariates are...

Persistent link: https://www.econbiz.de/10013324998

Quantile Treatment Effects in the Regression Discontinuity Design

Frölich, Markus; Melly, Blaise - 2021

of certain interventions on the outcome distribution. The distributional impacts of social programs such as welfare …

Persistent link: https://www.econbiz.de/10013325034

Identification and Estimation of Causal Mechanisms and Net Effects of a Treatment Under Unconfoundedness

Flores, Carlos A. - 2009

An important goal when analyzing the causal effect of a treatment on an outcome is to understand the mechanisms through which the treatment causally works. We define a causal mechanism effect of a treatment and the causal effect net of that mechanism using the potential outcomes framework. These...

Persistent link: https://www.econbiz.de/10013158662