Advanced Search
MyIDEAS: Login

A Cautionary Note on Using Industry Affiliation to Predict Income

Contents:

Author Info

  • Jörn-Steffen Pischke
  • Hannes Schwandt

Abstract

Many literatures investigate the causal impact of income on economic outcomes, for example in the context of intergenerational transmission or well-being and health. Some studies have proposed to use employer wage differentials and in particular industry affiliation as an instrument for income. We demonstrate that industry affiliation is correlated with fixed individual characteristics, specifically parents' education and own height, conditional on the covariates typically controlled for in these studies. These results suggest that there is selection into industries based on unobservables. As a result the exclusion restriction in many IV studies of this type is likely violated.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.nber.org/papers/w18384.pdf
Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 18384.

as in new window
Length:
Date of creation: Sep 2012
Date of revision:
Handle: RePEc:nbr:nberwo:18384

Note: HC LS
Contact details of provider:
Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Phone: 617-868-3900
Email:
Web page: http://www.nber.org
More information through EDIRC

Related research

Keywords:

Other versions of this item:

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Ritschl, Albrecht, 2012. "The German Transfer Problem, 1920-1933: A Sovereign Debt Perspective," CEPR Discussion Papers 9062, C.E.P.R. Discussion Papers.
  2. Jörn-Steffen Pischke, 2011. "Money and Happiness: Evidence from the Industry Wage Structure," NBER Working Papers 17056, National Bureau of Economic Research, Inc.
  3. Daniel A. Ackerberg & Paul J. Devereux, 2009. "Improved JIVE Estimators for Overidentified Linear Models with and without Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 91(2), pages 351-362, May.
  4. Carmit Segal, 2006. "Motivation, test scores and economic success," Economics Working Papers 1124, Department of Economics and Business, Universitat Pompeu Fabra, revised Oct 2008.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Nattavudh Powdthavee & Warn N. Lekfuangfu & Mark Wooden, 2013. "The Marginal Income Effect of Education on Happiness: Estimating the Direct and Indirect Effects of Compulsory Schooling on Well-Being in Australia," Melbourne Institute Working Paper Series wp2013n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  2. Ambrey, Christopher L. & Fleming, Christopher M. & Chan, Andrew Yiu-Chung, 2014. "Estimating the cost of air pollution in South East Queensland: An application of the life satisfaction non-market valuation approach," Ecological Economics, Elsevier, vol. 97(C), pages 172-181.
  3. Arik Levinson, 2009. "Valuing Public Goods Using Happiness Data: The Case of Air Quality," NBER Working Papers 15156, National Bureau of Economic Research, Inc.
  4. Vendrik, Maarten C.M., 2013. "Adaptation, anticipation and social interaction in happiness: An integrated error-correction approach," Journal of Public Economics, Elsevier, vol. 105(C), pages 131-149.
  5. Ambrey, Christopher L. & Chan, Andrew Yiu-Chung & Fleming, Christopher M., 2013. "Estimating the cost of air pollution in South East Queensland: An application of the life satisfaction non-market valuation approach," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152133, Australian Agricultural and Resource Economics Society.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:18384. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.