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Instrumental Variables and Causal Mechanisms : Unpacking the Effect of Trade on Workers and Voters

Dippel, Christian - 2017

Instrumental variables (IV) are a common means to identify treatment effects. But standard IV methods do not allow us to unpack the complex treatment effects that arise when a treatment and its outcome together cause a second outcome of interest. For example, IV methods have been used to show...

Persistent link: https://www.econbiz.de/10012960515

Using Matching, Instrumental Variables and Control Functions to Estimate Economic Choice Models

Heckman, James J.; Navarro, Salvador - 2022

selection) in matching, instrumental variable and control functions methods. (2) It contrasts the roles of exclusion … restrictions in matching and selection models. (3) It characterizes the sensitivity of matching to the choice of conditioning …. (4) It demonstrates the problem of choosing the conditioning variables in matching and the failure of conventional model …

Persistent link: https://www.econbiz.de/10013311183

Viewpoint : The Human Capital Approach to Inference

MacLeod, W. Bentley - 2016

The purpose of this essay is to discuss two approaches to inference, and how "human capital" can provide a way to combine them. The first approach, ubiquitous in economics, is based upon the Rubin/Holland potential outcomes model and relies upon randomized treatment to measure the causal effect...

Persistent link: https://www.econbiz.de/10012995971

Balancing, Regression, Difference-in-Differences and Synthetic Control Methods : A Synthesis

Doudchenko, Nikolay - 2016

In a seminal paper Abadie et al (2010) develop the synthetic control procedure for estimating the effect of a treatment, in the presence of a single treated unit and a number of control units, with pre-treatment outcomes observed for all units. The method constructs a set of weights such that...

Persistent link: https://www.econbiz.de/10012980180

Regression Kink Design : Theory and Practice

Card, David E. - 2016

A regression kink design (RKD or RK design) can be used to identify casual effects in settings where the regressor of interest is a kinked function of an assignment variable. In this paper, we apply an RKD approach to study the effect of unemployment benefits on the duration of joblessness in...

Persistent link: https://www.econbiz.de/10012980189

Causal Parameters and Policy Analysis in Economcs : a Twentieth Century Retrospective

Heckman, James J. - 2021

The major contributions of twentieth century econometrics to knowledge were the definition of causal parameters when agents are constrained by resources and markets and causes are interrelated, the analysis of what is required to recover causal parameters from data (the identification problem),...

Persistent link: https://www.econbiz.de/10013219291

Causal Effects in Non-Experimental Studies : Re-Evaluating the Evaluation of Training Programs

Dehejia, Rajeev H.; Wahba, Sadek M. - 2021

stratification on the propensity score and matching on the propensity score, and show that they result in accurate estimates of the …

Persistent link: https://www.econbiz.de/10013221090

Discovering Treatment Effectiveness Via Median Treatment Effects—Applications to Covid-19 Clinical Trials

Mullahy, John - 2021

Comparing median outcomes to gauge treatment effectiveness is widespread practice in clinical and other investigations. While common, such difference-in-median characterizations of effectiveness are but one way to summarize how outcome distributions compare. This paper explores properties of...

Persistent link: https://www.econbiz.de/10013221966

Compulsory Education and the Benefits of Schooling

Stephens, Melvin; Yang, Dou-Yan - 2021

Causal estimates of the benefits of increased schooling using U.S. state schooling laws as instruments typically rely on specifications which assume common trends across states in the factors affecting different birth cohorts. Differential changes across states during this period, such as...

Persistent link: https://www.econbiz.de/10013225004

Nonlinear Policy Rules and the Identification and Estimation of Causal Effects in a Generalized Regression Kink Design

Card, David E. - 2012

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. This design arises in many institutional settings where a policy variable (such as weekly...

Persistent link: https://www.econbiz.de/10013097659