Frugal IV alternatives to identify the parameter for an endogenous regressor

Journal of Applied Econometrics - Tập 24 Số 3 - Trang 446-468 - 2009
Peter Ebbes1, Michel Wedel2, Ulf Böckenholt3
1Smeal College of Business, Pennsylvania State University, University Park, PA, USA
2Robert H. Smith School of Business, University of Maryland, College Park, MD, USA
3Faculty of Management, McGill University, Montreal, Quebec, Canada

Tóm tắt

AbstractA review of the econometric literature on instrumental variables (IV) estimation shows that the performance of traditional IV estimation relies critically on the quality of the instruments. We discuss three different approaches that do not require the availability of observed instrumental variables: the ‘Higher Moments’ (HM) estimator, the ‘Identification trough Heteroscedasticity’ (IH) estimator, and the ‘Latent Instrumental Variable’ (LIV) approach. These methods attempt to identify the regression parameters not through observed instruments but by using other information that enables identifiability. The performance of these methods is illustrated on simulated and empirical data. Copyright © 2009 John Wiley & Sons, Ltd.

Từ khóa


Tài liệu tham khảo

10.1214/aoms/1177729752

10.1002/(SICI)1099-1255(199901/02)14:1<57::AID-JAE501>3.0.CO;2-G

10.1198/073500102288618595

10.2307/2951662

10.2307/2171802

10.2307/2291055

Bowden RJ, 1984, Instrumental Variables

10.1287/mksc.20.3.284.9768

10.2307/2951682

10.1016/S1573-4463(99)03011-4

10.1111/1468-0262.00237

10.1287/mksc.20.4.442.9751

10.1016/0304-4076(95)01789-5

Davidson R, 1993, Estimation and Inference in Econometrics

10.1111/1468-0262.00238

EbbesP.2004.Latent instrumental variables: a new approach to solve for endogeneity. PhD thesis SOM Research School University of Groningen.

10.1046/j.0039-0402.2003.00254.x

10.1007/s11129-005-1177-6

10.1017/S0266466602183101

10.2307/1912683

10.1111/0002-9092.00010

10.1111/1468-0262.00272

Hahn J, 2003, Weak instrumens: diagnosis and cures in empirical econometrics, Recent Advances in Econometric Methodology, 93, 118

Hand DJ, 1993, Handbook of Small Data Sets, 10.1201/9780429246579

HoganV RigobonR.2003.Using unobserved supply shocks to estimate the returns to educations. Technical report University College Dublin.

10.2307/1909244

10.1111/1468-0262.00353

10.1016/S0304-4076(02)00219-1

10.2307/2171884

10.1080/01621459.1959.10501505

10.2307/2938359

10.1111/j.1430-9134.2000.00513.x

10.1111/1468-0262.00194

A Petrin K Train 2002 Working paper University of Berkeley

10.1137/1026034

10.1162/003465303772815727

Ruud PA, 2000, An Introduction to Classical Econometric Theory

10.2307/1907619

10.2307/2171753

10.1198/073500102288618658

10.1287/mksc.20.1.42.10196

Titterington DM, 1985, Statistical Analysis of Finite Mixture Distributions

10.1023/B:QMEC.0000037079.73934.a2

Verbeek M, 2000, A Guide to Modern Econometrics

10.1287/mnsc.45.10.1324

10.1214/aoms/1177731868

10.1016/S0304-4076(98)00052-9

White H, 2001, Asymptotic Theory for Econometricians

Wooldridge JM, 2002, Econometric Analysis of Cross Section and Panel Data

10.1023/B:QMEC.0000003327.55605.26