44 Pages Posted: 12 May 2010
Date Written: January 11, 2010
While there is a wide consensus in using survey weights when estimating population parameters, it is not clear what to do when using survey data for analytic purposes (i.e. with the objective of making inference about model parameters). In the model-based framework (MB), under the hypothesis that the underlying model is correctly specified, using survey weights in regression analysis potentially involves a loss of efficiency. In a design-based perspective (DB), weighted estimates are both design consistent and can provide robustness to model mis-specification. In this paper, I suggest that the choice of using survey weights can be seen in a regression diagnostic set. The survey data analyst should check if the design information included in survey weights has some explanatory power in describing the model outcome. To accomplish this task a set of econometric tests is suggested, that could be supplemented by the analysis of model features under the two strategies.
Keywords: survey methods, model evaluation and testing
JEL Classification: C42, C52
Suggested Citation: Suggested Citation
Faiella, Ivan, The Use of Survey Weights in Regression Analysis (January 11, 2010). Bank of Italy Temi di Discussione (Working Paper) No. 739. Available at SSRN: https://ssrn.com/abstract=1601936 or http://dx.doi.org/10.2139/ssrn.1601936