Instrumental variables estimation

Results: 32



#Item
21INSTRUMENT ASSISTED REGRESSION  Instrument Assisted Regression for Errors in Variables Models with Binary Response KUN XU Department of Statistics, Texas A&M University

INSTRUMENT ASSISTED REGRESSION Instrument Assisted Regression for Errors in Variables Models with Binary Response KUN XU Department of Statistics, Texas A&M University

Add to Reading List

Source URL: www.stat.tamu.edu

Language: English - Date: 2014-02-27 10:44:23
22J. R. Statist. Soc. B[removed], Part 3, pp. 429–446 Semiparametric estimators of functional measurement error models with unknown error Peter Hall

J. R. Statist. Soc. B[removed], Part 3, pp. 429–446 Semiparametric estimators of functional measurement error models with unknown error Peter Hall

Add to Reading List

Source URL: www.stat.tamu.edu

Language: English - Date: 2008-05-28 10:46:29
23Variable selection in measurement error models

Variable selection in measurement error models

Add to Reading List

Source URL: www.stat.tamu.edu

Language: English - Date: 2010-02-17 09:59:50
24Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C. Missing Variation in the Great Moderation: Lack of Signal Error and OLS Regression

Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C. Missing Variation in the Great Moderation: Lack of Signal Error and OLS Regression

Add to Reading List

Source URL: www.federalreserve.gov

Language: English - Date: 2014-04-09 09:11:12
25Location Properties of Point Estimators in Linear Instrumental Variables and Related Models∗ Keisuke Hirano Jack R. Porter

Location Properties of Point Estimators in Linear Instrumental Variables and Related Models∗ Keisuke Hirano Jack R. Porter

Add to Reading List

Source URL: www.u.arizona.edu

Language: English - Date: 2013-12-30 02:13:27
26A WEAK INSTRUMENT F-TEST IN LINEAR IV MODELS WITH MULTIPLE ENDOGENOUS VARIABLES Eleanor Sanderson Frank Windmeijer

A WEAK INSTRUMENT F-TEST IN LINEAR IV MODELS WITH MULTIPLE ENDOGENOUS VARIABLES Eleanor Sanderson Frank Windmeijer

Add to Reading List

Source URL: www.efm.bris.ac.uk

Language: English - Date: 2014-06-30 05:04:36
27APPLIED NONPARAMETRIC INSTRUMENTAL VARIABLES ESTIMATION

APPLIED NONPARAMETRIC INSTRUMENTAL VARIABLES ESTIMATION

Add to Reading List

Source URL: faculty.wcas.northwestern.edu

Language: English - Date: 2009-11-11 13:08:18
28UNIFORM CONFIDENCE BANDS FOR FUNCTIONS ESTIMATED NONPARAMETRICALLY WITH INSTRUMENTAL VARIABLES JOEL L. HOROWITZ AND SOKBAE LEE Abstract. This paper is concerned with developing uniform confidence bands for functions esti

UNIFORM CONFIDENCE BANDS FOR FUNCTIONS ESTIMATED NONPARAMETRICALLY WITH INSTRUMENTAL VARIABLES JOEL L. HOROWITZ AND SOKBAE LEE Abstract. This paper is concerned with developing uniform confidence bands for functions esti

Add to Reading List

Source URL: faculty.wcas.northwestern.edu

Language: English - Date: 2011-12-12 15:35:04
29Set-Membership Identification of LPV Models with Uncertain Measurements of the Time-Varying Parameter

Set-Membership Identification of LPV Models with Uncertain Measurements of the Time-Varying Parameter

Add to Reading List

Source URL: diegoregruto.com

Language: English - Date: 2010-04-12 10:45:39
30Journal of Econometrics[removed]–280  Contents lists available at SciVerse ScienceDirect Journal of Econometrics journal homepage: www.elsevier.com/locate/jeconom

Journal of Econometrics[removed]–280 Contents lists available at SciVerse ScienceDirect Journal of Econometrics journal homepage: www.elsevier.com/locate/jeconom

Add to Reading List

Source URL: www.larspeterhansen.org

Language: English - Date: 2012-10-09 10:12:09