Split-Sample Instrumental Variables Estimates of the Return to Schooling

1995 ◽  
Vol 13 (2) ◽  
pp. 225 ◽  
Author(s):  
Joshua D. Angrist ◽  
Alan B. Krueger
Keyword(s):  
Instrumental Variables ◽  
Return To Schooling ◽  
Split Sample

scholarly journals A NEW PROJECTION-TYPE SPLIT-SAMPLE SCORE TEST IN LINEAR INSTRUMENTAL VARIABLES REGRESSION

2010 ◽  
Vol 26 (6) ◽  
pp. 1820-1837 ◽  
Author(s):  
Saraswata Chaudhuri ◽  
Thomas Richardson ◽  
James Robins ◽  
Eric Zivot
Keyword(s):  
Instrumental Variables ◽  
Score Test ◽  
Usual Method ◽  
Type Inference ◽  
New Method ◽  
Discussion Paper ◽  
True Value ◽  
Split Sample ◽  
Sample Score ◽  
Parameters Of Interest

In this paper we introduce a new method of projection-type inference and describe it in the context of two stage least squares–based split-sample inference on subsets of structural coefficients in a linear instrumental variables regression model. The use of the new method not only guards against the uncontrolled overrejection of the true value of the parameters of interest but also reduces the conservativeness of the usual method of projection proposed by Dufour and his coauthors (Dufour, 1997, Econometrica 65, 1365–1388; Dufour and Jasiak, 2001, International Economic Review 41, 815–843; Dufour and Taamouti, 2005, discussion paper; Dufour and Taamouti, 2005, Econometrica 73, 1351–1365; Dufour and Taamouti, 2007, Journal of Econometrics 139, 133–153).

scholarly journals Split Sample Instrumental Variables

10.3386/t0150 ◽  
1995 ◽  
Author(s):  
Joshua Angrist ◽  
Alan Krueger
Keyword(s):  
Instrumental Variables ◽  
Split Sample

scholarly journals Estimating Marginal Returns to Education

2011 ◽  
Vol 101 (6) ◽  
pp. 2754-2781 ◽  
Author(s):  
Pedro Carneiro ◽  
James J Heckman ◽  
Edward J Vytlacil
Keyword(s):  
Economic Theory ◽  
Empirical Analysis ◽  
Instrumental Variables ◽  
Returns To Education ◽  
Policy Changes ◽  
Return To Schooling ◽  
Marginal Returns

This paper estimates marginal returns to college for individuals induced to enroll in college by different marginal policy changes. The recent instrumental variables literature seeks to estimate this parameter, but in general it does so only under strong assumptions that are tested and found wanting. We show how to utilize economic theory and local instrumental variables estimators to estimate the effect of marginal policy changes. Our empirical analysis shows that returns are higher for individuals with values of unobservables that make them more likely to attend college. We contrast our estimates with IV estimates of the return to schooling. JEL: I23, J24, J31

scholarly journals Split-Sample Score Tests in Linear Instrumental Variables Regression

2007 ◽  
Author(s):  
Saraswata Chaudhuri ◽  
Thomas Richardson ◽  
James Robins ◽  
Eric W. Zivot
Keyword(s):  
Instrumental Variables ◽  
Score Tests ◽  
Split Sample ◽  
Sample Score
Sign in / Sign up

Export Citation Format

Share Document