An Economist's Primer on Survey Samples
AbstractSurvey data underlie most empirical work in economics, yet economists typically have little familiarity with survey sample design and its effects on inference. This paper describes how sample designs depart from the simple random sampling model implicit in most econometrics textbooks, points out where the effects of this departure are likely to be greatest, and describes the relationship between design-based estimators developed by survey statisticians and related econometric methods for regression. Its intent is to provide empirical economists with enough background in survey methods to make informed use of design-based estimators. It emphasizes surveys of households (the source of most public-use files), but also considers how surveys of businesses differ. Examples from the National Longitudinal Survey of Youth of 1979 and the Current Population Survey illustrate practical aspects of design-based estimation.
Download InfoIf 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.
Bibliographic InfoPaper provided by Center for Economic Studies, U.S. Census Bureau in its series Working Papers with number 00-15.
Date of creation: Sep 2000
Date of revision:
CES; economic; research; micro; data; microdata; chief; economist;
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.:
- Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-38, May.
- Thomas MaCurdy & Thomas Mroz & R. Mark Gritz, 1998. "An Evaluation of the National Longitudinal Survey on Youth," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 345-436.
- J. A. Hausman, 1976.
"Specification Tests in Econometrics,"
185, Massachusetts Institute of Technology (MIT), Department of Economics.
- Imbens, Guido W. & Lancaster, Tony, 1996.
"Efficient estimation and stratified sampling,"
Journal of Econometrics,
Elsevier, vol. 74(2), pages 289-318, October.
- Imbens, G. & Lancaster, T., 1991. "Efficient Estimation and Stratified Sampling," Papers 9145, Tilburg - Center for Economic Research.
- Imbens, G. & Lancaster, T., 1991. "Efficient estimation and stratified sampling," Discussion Paper 1991-45, Tilburg University, Center for Economic Research.
- Imbens, G. & Lancaster, T., 1991. "Efficient Estimation And Stratified Sampling," Harvard Institute of Economic Research Working Papers 1545, Harvard - Institute of Economic Research.
- Guido W. Imbens & Judith K. Hellerstein, 1996.
"Imposing Moment Restrictions from Auxiliary Data by Weighting,"
NBER Technical Working Papers
0202, National Bureau of Economic Research, Inc.
- Judith K. Hellerstein & Guido W. Imbens, 1999. "Imposing Moment Restrictions From Auxiliary Data By Weighting," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 1-14, February.
- White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
- Lillard, Lee & Smith, James P & Welch, Finis, 1986.
"What Do We Really Know about Wages? The Importance of Nonreporting and Census Imputation,"
Journal of Political Economy,
University of Chicago Press, vol. 94(3), pages 489-506, June.
- Lee Lillard & James P. Smith & Finis Welch, 2004. "What Do We Really Know About Wages: The Importance of Nonreporting and Census Imputation," Labor and Demography 0404005, EconWPA.
- Jeffrey M. Wooldridge, 1999. "Asymptotic Properties of Weighted M-Estimators for Variable Probability Samples," Econometrica, Econometric Society, vol. 67(6), pages 1385-1406, November.
- Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
- Chandran, Ram, 2004. "A Tobit Analysis of WIC Children's Consumption of Pyramid Group Foods," 2004 Annual meeting, August 1-4, Denver, CO 19998, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Evans Jadotte, 2006. "Income Distribution and Poverty in the Republic of Haiti," Working Papers PMMA 2006-13, PEP-PMMA.
- Humberto Barreto & Manu Raghav, 2011.
"Understanding and Teaching Unequal Probability of Selection,"
2011-01, DePauw University, Department of Economics and Management.
- Barreto Humberto & Raghav Manu, 2013. "Understanding and teaching unequal probability of selection," Journal of Econometric Methods, De Gruyter, vol. 2(1), pages 101-112, July.
- Raghav, Manu & Barreto, Humberto, 2011. "Understanding and teaching unequal probability of selection," MPRA Paper 32334, University Library of Munich, Germany.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Fariha Kamal).
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.