Social Policy Targeting and Binary Information Transfer between Surveys

Gottlieb, Daniel and Kushnir, Leonid (2006): Social Policy Targeting and Binary Information Transfer between Surveys.

Abstract

This paper deals with the optimal transfer of binary information (BIT) on group membership between different statistical surveys of an identical population, a need arising frequently in socio-economic surveys. The limited number of questions asked in any one survey may necessitate information transfer between surveys. We design a method for a a BIT between a source-survey originally including the information and a target survey in which it is needed. An efficient BIT depends on (1) efficient estimation of the statistical model explaining group-membership as estimated by the ROC-curve, (2) the choice of a cutoff value for translating the forecasted logistic probability back into a binary variable and (3) a statistically testable quality control of the transfer. We suggest an optimal cutoff point that minimizes the sum of squared errors instead of the well-known Hosmer-Lemeshow method. Our application illustrates how survey data can be enhanced, when repeated interviews are expensive or difficult to implement. We enhance the Household Expenditure Survey (HES) by transferring a binary variable of households' religious group membership from the Social Survey to the HES. This helps identify extremely poor groups for poverty calculations and improved targeting of anti-poverty policy.

• Item Type: MPRA Paper
• Institution: Ben Gurion University of the Negev
• Language: English
• Keywords: ROC curves; Binary Variables; Logistic Regression; Group Identification; Optimal Cutoff Value; Poverty Targeting; Poverty Mapping; Small Area Estimation
• Subjects: C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C46 - Specific Distributions ; Specific Statistics

References

Degani Avi and Rina Degani, 2000, "The Demand for Housing in the Haredi Sector", Institute for Spatial Analysis Ltd., September, p. 1- 170. Flug Karnit and Nitsa (Kaliner) Kasir, 2003, "Poverty and Employment and the Gulf between them", Israel Economic Review, Vol. 1, p. 55-80. Friedman Menachem, 1991, "The Haredi (Ultra-Orthodox) Society – Sources, Trends and Processes", in Hebrew, Summary in English, The Jerusalem Institute for Israel Studies, Jerusalem. Glewwe Paul and Jacques Van der Gaag, 1990, Idenifying the Poor in Developing Countries: Do Different Definitions Matter? World Development, 18 (6), 803-815. Gottlieb Daniel and Nitsa Kasir, 2004, "Poverty in Israel and a Strategy for its Reduction", in Hebrew, The Bank of Israel, www.bankisrael.gov.il, July, 1-46. Gottlieb Daniel and Roy Manor, 2005, "On the Choice of a Poverty Measure: The Case of Israel, 1997 to 2002", in Hebrew, Abstract in English, forthcoming, The Bank of Israel, March, 1-54. Gottlieb Daniel, 2006, "Poor and Trapped in Ideology: A Case-Study of Poverty in the Jewish Ultra-Orthodox Society in Israel", (in Hebrew) forthcoming, Van Leer Institute, Jerusalem, 1-44. Gurovich Norma and Eilat Cohen-Kastro, 2004, "Ultra-Orthodox Jews – Geographic Distribution and Demographic, Social and Economic Characteristics, 1996-2001", in Hebrew, Summary in English, Working Paper Series, No. 5, July, Central Bureau of Statistics – Demography Sector. Hadjicostas Petros and George C. Hadjinicola, 2001, "The Asymptotic Distribution of the Proportion of Correct Classifications for a Holdout Sample in Logistic Regression", Journal of Statistical Planning and Inference, Vol. 92 (1-2), January, 193-211. Hentschel, J., J.O. Lanjouw, P. Lanjouw and J. Poggi, 2000, "Combining Survey Data to Trace the Spatial Dimensions of Poverty: A Case Study of Ecuador", World Bank Economic Review, 14, (1), 147-65. Hosmer David, W. and Stanley Lemeshow, 2000, Applied Logistic Regression, 2nd Edition, John Wiley & Sons Inc., New York, USA. Mayshar Yoram, 2004, "Potential Income as a Measure of Poverty in Israel", forthcoming in the Israel Economic Review, (in Hebrew), p. 1-30. Schares G., et al., 2003, "Regional Distribution of Bovine Neospora Caninum Infection in the German State of Rhineland-Palatinate Modeled by Logistic Regression", International Journal of Parasitology, Vol 33 (14), December, 1631-1640. Schutter E.M.J. et al., 1998, Estimation of Probability of Malignancy Using a Logistic Model Combining Physical Examination, Ultrasound, Serum CA 125, and Serum CA 72-4 in Postmenopausal Women with a Pelvic Mass: An International Multicenter Study", Gynecologic Oncology, Vol. 69, (1), April, 56-63. Stegeman, J.A. et al., 2006, "Establishing the Change in Antibiotic Resistance of Enterococcus Faecium Strains Isolated from Duch Broilers by Logistic Regression and Survival Analysis", Preventive Veterinary Medicine, Vol 74, (1), April, 56-66.