Understanding and teaching unequal probability of selection
AbstractThis paper focuses on econometrics pedagogy. It demonstrates the importance of including probability weights in regression analysis using data from surveys that do not use simple random samples (SRS). We use concrete, numerical examples and simulation to show how to effectively teach this difficult material to a student audience. We relax the assumption of simple random sampling and show how unequal probability of selection can lead to biased, inconsistent OLS slope estimates. We then explain and apply probability weighted least squares, showing how weighting the observations by the reciprocal of the probability of inclusion in the sample improves performance. The exposition is non-mathematical and relies heavily on intuitive, visual displays to make the content accessible to students. This paper will enable professors to incorporate unequal probability of selection into their courses and allow students to use best practice techniques in analyzing data from complex surveys. The primary delivery vehicle is Microsoft Excel®. Two user-defined array functions, SAMPLE and LINESTW, are included in a prepared Excel workbook. We replicate all results in Stata® and offer a do-file for easy analysis in Stata. Documented code in Excel and Stata allows users to see each step in the sampling and probability weighted least squares algorithms. All files and code are available at www.depauw.edu/learn/stata.
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Bibliographic InfoArticle provided by De Gruyter in its journal Journal of Econometric Methods.
Volume (Year): 2 (2013)
Issue (Month): 1 (July)
Contact details of provider:
Web page: http://www.degruyter.com
Other versions of this item:
- Raghav, Manu & Barreto, Humberto, 2011. "Understanding and teaching unequal probability of selection," MPRA Paper 32334, University Library of Munich, Germany.
- Humberto Barreto & Manu Raghav, 2011. "Understanding and Teaching Unequal Probability of Selection," Working Papers 2011-01, DePauw University, Department of Economics and Management.
- A2 - General Economics and Teaching - - Economic Education and Teaching of Economics
- A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
- A23 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Graduate
- C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
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.:
- Barreto,Humberto & Howland,Frank, 2006. "Introductory Econometrics," Cambridge Books, Cambridge University Press, number 9780521843195, October.
- William J Carrington & John L Eltinge & Kristin McCue, 2000. "An Economist's Primer on Survey Samples," Working Papers 00-15, Center for Economic Studies, U.S. Census Bureau.
- Humberto Barreto & Manu Raghav, 2013. "Understanding and Teaching Within-Cluster Correlation in Complex Surveys," Working Papers 2013-02, DePauw University, Department of Economics and Management.
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