Instrumental Variables: An Econometrician's Perspective
Copyright policy )Instrumental Variables: An Econometrician's Perspective
I review recent work in the statistics literature on instrumental variables methods from an econometrics perspective. I discuss some of the older, economic, applications including supply and demand models and relate them to the recent applications in settings of randomized experiments with noncompliance. I discuss the assumptions underlying instrumental variables methods and in what settings these may be plausible. By providing context to the current applications, a better understanding of the applicability of these methods may arise.
Published in at http://dx.doi.org/10.1214/14-STS480 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
- Stanford University United States
- National Bureau of Economic Research United States
- GRADUATE SCHOOL
- GRADUATE SCHOOL
FOS: Computer and information sciences, potential outcomes, instrumental variables, ddc:330, selection models, randomized experiments, Methodology (stat.ME), Simultaneous equations models, General nonlinear regression, simultaneous equations models, Statistical methods; economic indices and measures, noncompliance, simultaneous equations models, randomized experiments, potential outcomes, noncompliance, selection models, instrumental variables, Applications of statistics to economics, Statistics - Methodology, C01, jel: jel:C01
FOS: Computer and information sciences, potential outcomes, instrumental variables, ddc:330, selection models, randomized experiments, Methodology (stat.ME), Simultaneous equations models, General nonlinear regression, simultaneous equations models, Statistical methods; economic indices and measures, noncompliance, simultaneous equations models, randomized experiments, potential outcomes, noncompliance, selection models, instrumental variables, Applications of statistics to economics, Statistics - Methodology, C01, jel: jel:C01
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).145 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!