The Potential use of In-home Scanner Technology for Budget Surveys
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- Andrew Leicester, 2014. "The Potential Use of In-Home Scanner Technology for Budget Surveys," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 441-491, National Bureau of Economic Research, Inc.
References listed on IDEAS
- Chen Zhen & Justin L. Taylor & Mary K. Muth & Ephraim Leibtag, 2009.
"Understanding Differences in Self-Reported Expenditures between Household Scanner Data and Diary Survey Data: A Comparison of Homescan and Consumer Expenditure Survey,"
Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(3), pages 470-492, September.
- Chen Zhen & Justin L. Taylor & Mary K. Muth & Ephraim Leibtag, 2009. "Understanding Differences in Self-Reported Expenditures between Household Scanner Data and Diary Survey Data: A Comparison of Homescan and Consumer Expenditure Survey," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(3), pages 470-492.
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Cited by:
- Suel, Esra & Polak, John W., 2017. "Development of joint models for channel, store, and travel mode choice: Grocery shopping in London," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 147-162.
- Christopher D. Carroll & Thomas F. Crossley & John Sabelhaus, 2014. "Introduction to "Improving the Measurement of Consumer Expenditures"," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 1-20, National Bureau of Economic Research, Inc.
- Kuroda, Yuta, 2022. "The effect of pollen exposure on consumption behaviors: Evidence from home scanner data," Resource and Energy Economics, Elsevier, vol. 67(C).
- Jonathan A. Parker & Nicholas S. Souleles & Christopher D. Carroll, 2014.
"The Benefits of Panel Data in Consumer Expenditure Surveys,"
NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 75-99,
National Bureau of Economic Research, Inc.
- Carroll, Christopher D. & Parker, Jonathan A. & Souleles, Nicholas S., 2014. "The benefits of panel data in consumer expenditure surveys," CFS Working Paper Series 465, Center for Financial Studies (CFS).
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More about this item
JEL classification:
- C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
NEP fields
This paper has been announced in the following NEP Reports:- NEP-AGR-2013-10-25 (Agricultural Economics)
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