In this paper we focus on a recently documented effect of economic in- equality, namely that higher income individuals tend to be less generous than poorer individuals, but only in contexts where macro-level economic inequality is high, or is perceived as high. We consider data from the Measuring Morality study, a na- tionally representative survey of United States residents, that contains a validated behavioural measure of generosity (the dictator game) along with the household income of respondents. We fit a small area model to this data with the aim of inves- tigating the role of economic inequality on generosity in the US. We observe that model covariates (reported income and Gini index) are subject to measurement error and investigate the effect of introducing the measurement error in this model.

Accounting for measurement error in small area models: a study on generosity / Polettini, Silvia; Arima, Serena. - ELETTRONICO. - (2017), pp. 795-800. (Intervento presentato al convegno SIS 2017. Statistics and Data Science: new challenges, new generations tenutosi a Firenze nel 28-30 June 2017).

Accounting for measurement error in small area models: a study on generosity

POLETTINI, SILVIA;ARIMA, SERENA
2017

Abstract

In this paper we focus on a recently documented effect of economic in- equality, namely that higher income individuals tend to be less generous than poorer individuals, but only in contexts where macro-level economic inequality is high, or is perceived as high. We consider data from the Measuring Morality study, a na- tionally representative survey of United States residents, that contains a validated behavioural measure of generosity (the dictator game) along with the household income of respondents. We fit a small area model to this data with the aim of inves- tigating the role of economic inequality on generosity in the US. We observe that model covariates (reported income and Gini index) are subject to measurement error and investigate the effect of introducing the measurement error in this model.
2017
SIS 2017. Statistics and Data Science: new challenges, new generations
small area estimation; measurement error; misclassification; Bayesian inference
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Accounting for measurement error in small area models: a study on generosity / Polettini, Silvia; Arima, Serena. - ELETTRONICO. - (2017), pp. 795-800. (Intervento presentato al convegno SIS 2017. Statistics and Data Science: new challenges, new generations tenutosi a Firenze nel 28-30 June 2017).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/982313
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