We study how estimators that are used to impute consumption in survey data are inconsistent due to measurement error in consumption. Previous research suggests instrumenting consumption to overcome this problem. We show that, if additional regressors are present, then instrumenting consumption may still produce inconsistent estimators due to the likely correlation between additional regressors and measurement error. On the other hand, low correlations between additional regressors and instruments may reduce bias due to measurement error. We apply our findings by revisiting recent research that imputes consumption data from the CEX to the PSID. (C) 2013 Elsevier B.V. All rights reserved.We acknowledge nancial support by the Spanish Minister...
This paper provides evidence on the relevance of the collection mode for the analysis of consumption...
We study how to improve the estimation of annual food expenditures from household budget surveys wit...
In much of applied statistics variables of interest are measured with error. In particular, regressi...
We study how estimators that are used to impute consumption in survey data are inconsistent due to m...
We study how estimators used to impute consumption in survey data are inconsistent due to measuremen...
Published online: 29 September 2022Researchers are often interested in the relationship between two ...
In this paper we discuss an empirical strategy that allows researchers to impute consumptiondata fro...
Data available in commonly employed consumer surveys, like the \emph{Consumer Expenditure Survey} in...
We randomly assigned eight different consumption surveys to obtain evidence on the nature of measure...
This paper examines whether reported income and consumption generate biases for studies on income an...
Recall food consumption data, which is the basis of a great deal of empirical work, is believed to s...
This paper considers data quality issues to analyze the pattern of con-sumption inequality in the 19...
In this paper we discuss an empirical strategy that allows researchers to impute consumption data fr...
attenuation bias, instrumental variables, double measurements, deconvolution, auxiliary sample JEL C...
In this paper we discuss an empirical strategy that allows researchers to impute consumption data fr...
This paper provides evidence on the relevance of the collection mode for the analysis of consumption...
We study how to improve the estimation of annual food expenditures from household budget surveys wit...
In much of applied statistics variables of interest are measured with error. In particular, regressi...
We study how estimators that are used to impute consumption in survey data are inconsistent due to m...
We study how estimators used to impute consumption in survey data are inconsistent due to measuremen...
Published online: 29 September 2022Researchers are often interested in the relationship between two ...
In this paper we discuss an empirical strategy that allows researchers to impute consumptiondata fro...
Data available in commonly employed consumer surveys, like the \emph{Consumer Expenditure Survey} in...
We randomly assigned eight different consumption surveys to obtain evidence on the nature of measure...
This paper examines whether reported income and consumption generate biases for studies on income an...
Recall food consumption data, which is the basis of a great deal of empirical work, is believed to s...
This paper considers data quality issues to analyze the pattern of con-sumption inequality in the 19...
In this paper we discuss an empirical strategy that allows researchers to impute consumption data fr...
attenuation bias, instrumental variables, double measurements, deconvolution, auxiliary sample JEL C...
In this paper we discuss an empirical strategy that allows researchers to impute consumption data fr...
This paper provides evidence on the relevance of the collection mode for the analysis of consumption...
We study how to improve the estimation of annual food expenditures from household budget surveys wit...
In much of applied statistics variables of interest are measured with error. In particular, regressi...