Analyzing establishment nonresponse using an interpretable regression tree model with linked administrative data

Annals of Applied Statistics

Volumn 6, Issue 2, 2012, Pages 772-794

  Phipps, Polly ^a   Toth, Daniell ^a  

^a BUREAU OF LABOR STATISTICS   (United States)

Author keywords

Classification and regression trees (CART); Establishment survey; Nonignorable nonresponse; Propensity model; Recursive partitioning

Indexed keywords

EID: 84866251509     PISSN: 19326157     EISSN: 19417330     Source Type: Journal    
DOI: 10.1214/11-AOAS521     Document Type: Article

References (22)

1. BREIMAN, L., FRIEDMAN, J. H., OLSHEN, R. A. and STONE, C. J. (1984). Classification and Regression Trees. Wadsworth Advanced Books and Software, Belmont, CA. MR0726392
2. ELTINGE, J. and YANSANEH, I. (1997). Diagnostics for formation of nonresponse adjustment cells, with an application to income nonresponse in the U.S. Consumer Expenditure Survey. Survey Methodology 23 33-40.
3. GÖKSEL, H., JUDKINS, D. and MOSHER, W. (1992). Nonresponse adjustment for a telephone follow-up to a national in-person survey. Journal of Official Statistics 8 417-431.
4. GORDON, L. and OLSHEN, R. A. (1978). Asymptotically efficient solutions to the classification problem. Ann. Statist. 6 515-533. MR0468035
5. GORDON, L. and OLSHEN, R. A. (1980). Consistent nonparametric regression from recursive partitioning schemes. J. Multivariate Anal. 10 611-627. MR0599694
6. HASTIE, T., TIBSHIRANI, R. and FRIEDMAN, J. (2001). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, New York. MR1851606
7. KIM, J. K. and KIM, J. J. (2007). Nonresponse weighting adjustment using estimated response probability. Canad. J. Statist. 35 501-514. MR2381396
8. KOTT, P. S. and CHANG, T. (2010). Using calibration weighting to adjust for nonignorable unit nonresponse. J. Amer. Statist. Assoc. 105 1265-1275. MR2752620
9. LEBLANC, M. and TIBSHIRANI, R. (1998). Monotone shrinkage of trees. J. Comput. Graph. Statist. 7 417-433.
10. LITTLE, R. J. A. (1982). Models for nonresponse in sample surveys. J. Amer. Statist. Assoc. 77 237-250. MR0664675
11. LITTLE, R. (1986). Survey nonresponse adjustments for estimates of means. International Statistical Review 2 139-157.
12. LITTLE, R. and VARTIVARIAN, S. (2005). Does weighting for nonresponse increase the variance of survey means? Survey Methodology 31 161-168.
13. OPSOMER, J. D. and MILLER, C. P. (2005). Selecting the amount of smoothing in nonparametric regression estimation for complex surveys. J. Nonparametr. Stat. 17 593-611. MR2141364
14. PETRONI, R., SIGMAN, R., WILLIMACK, D., COHEN, S. and TUCKER, C. (2004). Response rates and nonresponse in establishment surveys-BLS and Census Bureau. In Federal Economic Statistics Advisory Committee Meeting (December). Available at http://www.bea.gov/about/pdf/Responseratesnonresponseinestablishmentsurv eysFESAC121404.pdf.
15. PHIPPS, P. and JONES, C. (2007). Factors affecting response to the occupational employment statistics survey. In Proceedings of the 2007 Federal Committee on Statistical Methodology Research Conference. Available at http://www.fcsm.gov/07papers/Phipps.II-A.pdf.
16. ROSENBAUM, P. R. and RUBIN, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika 70 41-55. MR0742974
17. SCHOUTEN, B. and DE NOOIJ, G. (2005). Nonresponse adjustment using classification trees. Discussion Paper 05001, Statistics Netherlands. Available at http://www.cbs.nl/NR/rdonlyres/1245916E-80D5-40EB-B047-CC45E728B2A3/0/20 0501x10pub.pdf.
18. SHAO, J. (1993). Linear model selection by cross-validation. J. Amer. Statist. Assoc. 88 486-494. MR1224373
19. Tomaskovic-Devey, D., Leiter, J. and Thompson, S. (1994). Organizational survey nonresponse. Administrative Science Quarterly 39 439-457.
20. TOTH, D. and ELTINGE, J. (2011). Building consistent regression trees from complex sample data. J. Amer. Statist. Assoc. 106 1626-1636.
21. TOTH, D. and ELTINGE, J. (2008). Simple function representation of regression trees. Bureau of Labor Statistics Technical Report.
22. VARTIVARIAN, S. and LITTLE, R. (2002). On the formation of weighting adjustment cells for unit nonresponse. In Proceedings of the Survey Research Methods Section 3553-3558. Amer. Statist. Assoc., Alexandria, VA.