Observational Agency and Supply-Side Econometrics
A central problem in applied empirical work is to separate out the patterns in the data that are due to poor production of the data, such as e.g. non-response and measurement errors, from the patterns attributable to the economic phenomena studied. This paper interprets this inference problem as being an agency problem in the market for observations and suggests ways in which using incentives may be useful to overcome it. The paper discusses how wage discrimination may be used for identification of economic parameters of interest taking into account the responses in survey supply by sample members to that discrimination. Random wage discrimination alters the supply behavior of sample members across the same types of populations in terms of outcomes and thereby allows for separating out poor supply from the population parameters of economic interest. Empirical evidence for a survey of US physicians suggests that survey supply even for this wealthy group is affected by the types of wage discrimination schemes discussed in a manner that makes the schemes useful for identification purposes. Using such schemes to correct mean estimates of physician earnings increases those earnings by about one third.
|Date of creation:||Feb 1997|
|Date of revision:|
|Publication status:||published as Tomas Philipson "Missing Data and Incentive Contracting", Econometrica, Volume 69, issue 4, 2001 pp. 1099-1111|
|Contact details of provider:|| Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.|
Web page: http://www.nber.org
More information through EDIRC
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.:
- Burstein, Philip L. & Cromwell, Jerry, 1985. "Relative incomes and rates of return for U.S. physicians," Journal of Health Economics, Elsevier, vol. 4(1), pages 63-78, March.
- Tomas Philipson, 1997. "Data Markets and the Production of Surveys," Review of Economic Studies, Oxford University Press, vol. 64(1), pages 47-72.
- Heckman, James J, 1979.
"Sample Selection Bias as a Specification Error,"
Econometric Society, vol. 47(1), pages 153-61, January.
- J. Dominitz & C. F. Manski, .
"Eliciting student expectations of the returns to schooling,"
Institute for Research on Poverty Discussion Papers
1049-94, University of Wisconsin Institute for Research on Poverty.
- Jeff Dominitz & Charles F. Manski, 1996. "Eliciting Student Expectations of the Returns to Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 31(1), pages 1-26.
- Jeff Dominitz & Charles F. Manski, 1994. "Eliciting Student Expectations of the Returns to Schooling," NBER Working Papers 4936, National Bureau of Economic Research, Inc.
- Jeff Dominitz & Charles F. Manski, 1994. "Eliciting Student Expectations Of The Returns To Schooling," Econometrics 9411002, EconWPA.
- Singh, S K & Maddala, G S, 1976. "A Function for Size Distribution of Incomes," Econometrica, Econometric Society, vol. 44(5), pages 963-70, September.
- Manski, C.F., 1989. "The Use Of Intentions Data To Predict Behaviour : A Best- Case Analysis," Working papers 8905, Wisconsin Madison - Social Systems.
- Lazear, Edward P, 1986. "Salaries and Piece Rates," The Journal of Business, University of Chicago Press, vol. 59(3), pages 405-31, July.
- Holmstrom, Bengt & Milgrom, Paul, 1991. "Multitask Principal-Agent Analyses: Incentive Contracts, Asset Ownership, and Job Design," Journal of Law, Economics and Organization, Oxford University Press, vol. 7(0), pages 24-52, Special I.
- Manski, C.F., 1992. "Identification Problems in the Social Sciences," Working papers 9217, Wisconsin Madison - Social Systems.
- Butler, J S, et al, 1987. "Measurement Error in Self-reported Health Variables," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 644-50, November.
When requesting a correction, please mention this item's handle: RePEc:nbr:nberte:0210. See general information about how to correct material in RePEc.
If references are entirely missing, you can add them using this form.