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The 2010 Survey of Consumer Payment Choice: technical appendix


  • Angrisani, Marco

    () (University of Southern California)

  • Foster, Kevin

    () (Federal Reserve Bank of Boston)

  • Hitczenko, Marcin

    () (Federal Reserve Bank of Boston)


This document serves as the technical appendix to the 2010 Survey of Consumer Payment Choice. The Survey of Consumer Payment Choice (SCPC) is an annual study designed primarily to study the evolving attitudes to and use of various payment instruments by consumers over the age of 18 in the United States. The main report, which introduces the survey and discusses the principal economic results, can be found on In this data report, we detail the technical aspects of the survey design, implementation, and analysis.

Suggested Citation

  • Angrisani, Marco & Foster, Kevin & Hitczenko, Marcin, 2013. "The 2010 Survey of Consumer Payment Choice: technical appendix," Research Data Report 13-3, Federal Reserve Bank of Boston.
  • Handle: RePEc:fip:fedbdr:13-3

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    References listed on IDEAS

    1. Marco Angrisani & Arie Kapteyn & Scott Schuh, 2014. "Measuring Household Spending and Payment Habits: The Role of "Typical" and "Specific" Time Frames in Survey Questions," NBER Chapters,in: Improving the Measurement of Consumer Expenditures, pages 414-440 National Bureau of Economic Research, Inc.
    2. Kevin Foster & Erik Meijer & Scott Schuh & Michael A. Zabek, 2011. "The 2009 survey of consumer payment choice," Public Policy Discussion Paper 11-1, Federal Reserve Bank of Boston.
    3. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    4. Hitczenko, Marcin, 2013. "Modeling anchoring effects in sequential Likert scale questions," Working Papers 13-15, Federal Reserve Bank of Boston.
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    Cited by:

    1. Wang, Zhu, 2016. "Price cap regulation in a two-sided market: Intended and unintended consequences," International Journal of Industrial Organization, Elsevier, vol. 45(C), pages 28-37.
    2. Kyle Vincent, 2015. "2013 Methods-of-Payment Survey: Sample Calibration Analysis," Technical Reports 103, Bank of Canada.
    3. Heng Chen & Q. Rallye Shen, 2017. "Variance estimation for survey-weighted data using bootstrap resampling methods: 2013 methods-of-payment," Canadian Stata Users' Group Meetings 2017 13, Stata Users Group.
    4. Angrisani, Marco & Foster, Kevin & Hitczenko, Marcin, 2015. "The 2013 Survey of Consumer Payment Choice: technical appendix," Research Data Report 15-5, Federal Reserve Bank of Boston.
    5. Greene, Claire & Stavins, Joanna, 2016. "Did the Target data breach change consumer assessments of payment card security?," Research Data Report 16-1, Federal Reserve Bank of Boston.
    6. Fulford, Scott L., 2015. "The surprisingly low importance of income uncertainty for precaution," European Economic Review, Elsevier, vol. 79(C), pages 151-171.
    7. Greene, Claire & Schuh, Scott & Stavins, Joanna, 2016. "The 2014 survey of consumer payment choice: summary results," Research Data Report 16-3, Federal Reserve Bank of Boston.
    8. Heng Chen & Rallye Shen, 2015. "Variance Estimation for Survey-Weighted Data Using Bootstrap Resampling Methods: 2013 Methods-of-Payment Survey Questionnaire," Technical Reports 104, Bank of Canada.

    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates


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