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Do debit cards increase household spending? Evidence from a semiparametric causal analysis of a survey

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Date
2014-01-01
Authors
Mercatanti, A
Li, F
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Abstract
© Institute of Mathematical Statistics, 2014.Motivated by recent findings in the field of consumer science, this paper evaluates the causal effect of debit cards on household consumption using population-based data from the Italy Survey on Household Income and Wealth (SHIW). Within the Rubin Causal Model, we focus on the estimand of population average treatment effect for the treated (PATT). We consider three existing estimators, based on regression, mixed matching and regression, propensity score weighting, and propose a new doubly-robust estimator. Semiparametric specification based on power series for the potential outcomes and the propensity score is adopted. Cross-validation is used to select the order of the power series. We conduct a simulation study to compare the performance of the estimators. The key assumptions, overlap and unconfoundedness, are systematically assessed and validated in the application. Our empirical results suggest statistically significant positive effects of debit cards on the monthly household spending in Italy.
Type
Journal article
Permalink
https://hdl.handle.net/10161/10303
Published Version (Please cite this version)
10.1214/14-AOAS784
Publication Info
Mercatanti, A; & Li, F (2014). Do debit cards increase household spending? Evidence from a semiparametric causal analysis of a survey. Annals of Applied Statistics, 8(4). pp. 2485-2508. 10.1214/14-AOAS784. Retrieved from https://hdl.handle.net/10161/10303.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Li

Fan Li

Professor of Statistical Science
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