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Microeconomic models with latent variables : applications of measurement error models in empirical industrial organization and labor economics

Hu, Yingyao - 2015

This paper reviews recent developments in nonparametric identi.cation of mea- surement error models and their applications in applied microeconomics, in particular, in empirical industrial organization and labor economics. Measurement error models describe mappings from a latent distribution to...

Persistent link: https://www.econbiz.de/10010469057

Recovering latent variables by matching

Arellano, Manuel; Bonhomme, Stéphane - 2020

We propose an optimal-transport-based matching method to nonparametrically estimate linear models with independent …

Persistent link: https://www.econbiz.de/10012152500

Identification and efficiency bounds for the average match function under conditionally exogenous matching

Graham, Bryan S.; Imbens, Guido; Ridder, Geert - 2016

following matching mechanism: take a random draw from the W = wj subgroup of the first population and match her with an …), denote the expected output associated with this match. We show that (i) the AMF is identified when matching is conditionally … exogenous, (ii) conditionally exogenous matching is compatible with a pairwise stable aggregate matching equilibrium under …

Persistent link: https://www.econbiz.de/10011440476

Inference in experiments with matched pairs

Bai, Yuehao; Romano, Joseph P.; Shaikh, Azeem M. - 2019

This paper studies inference for the average treatment effect in randomized controlled trials where treatment status is determined according to a "matched pairs" design. By a "matched pairs" design, we mean that units are sampled i.i.d. from the population of interest, paired according to...

Persistent link: https://www.econbiz.de/10011997352

Uniform confidence bands for functions estimated nonparametrically with instrumental variables

Horowitz, Joel; Lee, Sokbae - 2010

This paper is concerned with developing uniform confidence bands for functions estimated nonparametrically with instrumental variables. We show that a sieve nonparametric instrumental variables estimator is pointwise asymptotically normally mental variables estimator is pointwise asymptotically...

Persistent link: https://www.econbiz.de/10003990115

Quantile regression with censoring and endogeneity

Chernozhukov, Victor; Fernández-Val, Iván; Kowalski, … - 2011

In this paper, we develop a new censored quantile instrumental variable (CQIV)estimator and describe its properties and computation. The CQIV estimator combines Powell(1986) censored quantile regression (CQR) to deal semiparametrically with censoring, with a control variable approach to...

Persistent link: https://www.econbiz.de/10009153243

Conditional quantile processes based on series or many regressors

Belloni, Alexandre; Chernozhukov, Victor; … - 2011

Quantile regression (QR) is a principal regression method for analyzing the impact of covariates on outcomes. The impact is described by the conditional quantile function and its functionals. In this paper we develop the nonparametric QR series framework, covering many regressors as a special...

Persistent link: https://www.econbiz.de/10009153247

Intersection bounds : estimation and inference

Chernozhukov, Victor; Lee, Sokbae; Rosen, Adam M. - 2011

We develop a practical and novel method for inference on intersection bounds, namely bounds defined by either the infimum or supremum of a parametric or nonparametric function, or equivalently, the value of a linear programming problem with a potentially infinite constraint set. Our approach is...

Persistent link: https://www.econbiz.de/10009375645

Optimal bandwidth selection for robust generalized method of moments estimation

Wilhelm, Daniel - 2014

A two-step generalized method of moments estimation procedure can be made robust to heteroskedasticity and autocorrelation in the data by using a nonparametric estimator of the optimal weighting matrix. This paper addresses the issue of choosing the corresponding smoothing parameter (or...

Persistent link: https://www.econbiz.de/10010336485

Adaptive nonparametric instrumental variables estimation : empirical choice of the regularisation parameter

Horowitz, Joel - 2012

In nonparametric instrumental variables estimation, the mapping that identifies the function of interest, g say, is discontinuous and must be regularised (that is, modified) to make consistent estimation possible. The amount of modification is contolled by a regularisation parameter. The optimal...

Persistent link: https://www.econbiz.de/10009760143