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Instrumental variables in models with multiple outcomes : the general unordered case

Heckman, James J.; Urzua, Sergio; Vytlacil, Edward - 2008

This paper develops the method of local instrumental variables for models with multiple, unordered treatments when treatment choice is determined by a nonparametric version of the multinomial choice model. Responses to interventions are permitted to be heterogeneous in a general way and agents...

Persistent link: https://www.econbiz.de/10003870351

The firm size distribution in a small open economy : theory and evidence

Li, Qi; Walsh, Patrick Paul - 2009

We construct a theoretical model of the dynamic processes (firm entry, growth, decline, and exit) that underpin the determination of a limiting firm size distribution (FSD). In particular, we model such dynamic processes using key structural parameters; sunk cost, exogenous entry constraints,...

Persistent link: https://www.econbiz.de/10003870856

Sparse models and methods for optimal instruments with an application to eminent domain

Belloni, A.; Chen, D.; Chernozhukov, Victor; Hansen, … - 2010

sample size, n. We rigorously develop asymptotic distribution and inference theory for the resulting IV estimators and … functions which are of independent theoretical and practical interest. Specifically, we develop the asymptotic theory for these … innovatively using moderate deviation theory for self-normalized sums, we provide convergence rates for these estimators that are …

Persistent link: https://www.econbiz.de/10008695561

Testing the correlated random coefficient model

Heckman, James J.; Schmierer, Daniel; Urzua, Sergio - 2010

The recent literature on instrumental variables (IV) features models in which agents sort into treatment status on the basis of gains from treatment as well as on baselinepretreatment levels. Components of the gains known to the agents and acted on by them may not be known by the observing...

Persistent link: https://www.econbiz.de/10003989944

A new model for interdependent durations with an application to joint retirement

Honoré, Bo E.; Paula, Áureo de - 2016 - This version: February 2016

This paper introduces a bivariate version of the generalized accelerated failure time model. It allows for simultaneity in the econometric sense that the two realized outcomes depend structurally on each other. Another feature of the proposed model is that it will generate equal durations with...

Persistent link: https://www.econbiz.de/10011429485

Program evaluation with high-dimensional data

Belloni, Alexandre; Chernozhukov, Victor; … - 2015 - This version: September 20, 2015

In this paper, we provide efficient estimators and honest confidence bands for a variety of treatment effects including local average (LATE) and local quantile treatment effects (LQTE) in data-rich environments. We can handle very many control variables, endogenous receipt of treatment,...

Persistent link: https://www.econbiz.de/10011337681

Quantile models with endogeneity

Chernozhukov, Victor; Hansen, Christian Bailey - 2013

In this article, we review quantile models with endogeneity. We focus on models that achieve indentification through the use of instrumental variables and discuss conditions under which partial and point identification are obtained. We discuss key conditions, which include monotonicity and...

Persistent link: https://www.econbiz.de/10009747939

Inference for high-dimensional sparse econometric models

Belloni, Alexandre; Chernozhukov, Victor; Hansen, … - 2011

This article is about estimation and inference methods for high dimensional sparse (HDS) regression models in econometrics. High dimensional sparse models arise in situations where many regressors (or series terms) are available and the regression function is well-approximated by a parsimonious,...

Persistent link: https://www.econbiz.de/10009419335

Estimation of treatment effects with high-dimensional controls

Belloni, Alexandre; Chernozhukov, Victor; Hansen, … - 2011

We propose methods for inference on the average effect of a treatment on a scalar outcome in the presence of very many controls. Our setting is a partially linear regression model containing the treatment/policy variable and a large number p of controls or series terms, with p that is possibly...

Persistent link: https://www.econbiz.de/10009419338

Program evaluation with high-dimensional data

Belloni, Alexandre; Chernozhukov, Victor; … - 2013

In the first part of the paper, we consider estimation and inference on policy relevant treatment effects, such as local average and local quantile treatment effects, in a data-rich environment where there may be many more control variables available than there are observations. In addition to...

Persistent link: https://www.econbiz.de/10010227452