My Account Log in

1 option

Instrumental Variables with Unordered Treatments: Theory and Evidence from Returns to Fields of Study / Eskil Heinesen, Christian Hvid, Lars Johannessen Kirkebøen, Edwin Leuven, Magne Mogstad.

NBER Working papers Available online

View online
Format:
Book
Author/Creator:
Heinesen, Eskil.
Contributor:
Hvid, Christian.
Kirkebøen, Lars.
Leuven, Edwin.
Mogstad, Magne.
National Bureau of Economic Research.
Series:
Working Paper Series (National Bureau of Economic Research) no. w30574.
NBER working paper series no. w30574
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2022.
Summary:
We revisit the identification argument of Kirkeboen et al. (2016) who showed how one may combine instruments for multiple unordered treatments with information about individuals' ranking of these treatments to achieve identification while allowing for both observed and unobserved heterogeneity in treatment effects. We show that the key assumptions underlying their identification argument have testable implications. We also provide a new characterization of the bias that may arise if these assumptions are violated. Taken together, these results allow researchers not only to test the underlying assumptions, but also to argue whether the bias from violation of these assumptions are likely to be economically meaningful. Guided and motivated by these results, we estimate and compare the earnings payoffs to post-secondary fields of study in Norway and Denmark. In each country, we apply the identification argument of Kirkeboen et al. (2016) to data on individuals' ranking of fields of study and field-specific instruments from discontinuities in the admission systems. We empirically examine whether and why the payoffs to fields of study differ across the two countries. We find strong cross-country correlation in the payoffs to fields of study, especially after removing fields with violations of the assumptions underlying the identification argument.
Notes:
October 2022.
Print version record

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account