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

dc.contributor.author

Mercatanti, A

dc.contributor.author

Li, F

dc.date.accessioned

2015-07-15T03:22:32Z

dc.date.issued

2014-01-01

dc.description.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.

dc.identifier.eissn

1941-7330

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1932-6157

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https://hdl.handle.net/10161/10303

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Institute of Mathematical Statistics

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Annals of Applied Statistics

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10.1214/14-AOAS784

dc.title

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

dc.type

Journal article

duke.contributor.orcid

Li, F|0000-0002-0390-3673

pubs.begin-page

2485

pubs.end-page

2508

pubs.issue

4

pubs.organisational-group

Duke

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Statistical Science

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Trinity College of Arts & Sciences

pubs.publication-status

Published

pubs.volume

8

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