Estimating missing values from the general social survey: An application of multiple imputation

Social Science Quarterly

Volumn 88, Issue 2, 2007, Pages 573-584

  Penn, David A ^a  

^a MIDDLE TENNESSEE STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34247360496     PISSN: 00384941     EISSN: 15406237     Source Type: Journal    
DOI: 10.1111/j.1540-6237.2007.00472.x     Document Type: Article

References (13)

1. Tella, Rafael, and Robert MacCulloch. 2006. "Some Uses of Happiness Data in Economics." Journal of Economic Perspectives 20:25-46.
2. Easterlin, Richard A. 2003. "Explaining Happiness." Proceedings of the National Academy of Sciences of the United States of America September: 11176-83.
3. Frey, Bruno S., and Alois Stutzer. 2002. "What Can Economists Learn from Happiness Research?" Journal of Economic Literature 40:402-35.
4. Horton, Nicholas J., and Stuart R. Lipsitz. 2001. "Multiple Imputation in Practice: Comparison of Software Packages for Regression Models with Missing Variables." American Statistician August:244-54. Available at (www.biostat.harvard.edu/~horton/tasimpute.pdf).
5. Kahneman, Daniel, and Alan B. Krueger. 2006. "Developments in the Measurement of Subjective Well-Being." Journal of Economic Perspectives 20:3-24.
6. Little, Roderick J. A., and Donald B. Rubin. 2002. Statistical Analysis with Missing Data, 2nd ed. New York: John Wiley & Sons, Inc.
7. McBride, Michael. 2001. "Relative-Income Effects on Subjective Well-Being in the Cross-Section. "Journal of Economic Behavior & Organization 45:251-78.
8. Raghunathan, Trivellore E. 2004. "What Do We Do with Missing Data? Some Options for Analysis of Incomplete Data." Annual Review of Public Health 25:99-117.
9. Raghunathan, Trivellore E., James M. Lepkowski, John van Hoewyk, and Peter Solenberger. 2001. "A Multivariate Technique for Multiply Imputing Missing Values Using a Sequence of Regression Models." Survey Methodology 27:85-95.
10. Schafer, Joseph L. 1997. Analysis of Incomplete Multivariate Data. New York: Chapman & Hall/CRC.
11. Schafer, Joseph L., and John W. Graham. 2002. "Missing Data: Our View of the State of the Art." Psychological Methods 7:147-77.
12. Schenker, Nathaniel, Trivellore E. Raghunathan, Pei-Lu Chiu, Diane M. Makuc, Guangyu Zhang, and Alan J. Cohen. 2006. Multiple Imputation of Family Income ana Personal Earnings in the National Health Interview Survey: Methods and Examples. National Center for Health Statistics and the University of Michigan. Available at (www.cdc.gov/nchs/data/nhis/tec-doc.pdf}.
13. Vriens, Marco, and Melton Eric. 2002. "Managing Missing Data." Marketing Research 14:12-17.