IDEAS home Printed from https://ideas.repec.org/p/fip/fedbdr/15-2.html
   My bibliography  Save this paper

Estimating population means in the 2012 Survey of Consumer Payment Choice

Author

Listed:
  • Marcin Hitczenko

Abstract

This report examines the effect of adding to a longitudinal panel on estimates of population parameters in the 2012 Survey of Consumer Payment Choice (SCPC) more than 1,000 newly recruited respondents specifically targeted to fill segments of the U.S. population that tend to be underbanked and underrepresented in the longitudinal panel. In many ways, the new respondents have fundamentally different characteristics from the ongoing respondents. To minimize confounding sources of change to annual estimates when making comparisons across years, the official 2012 SCPC publication was based on the longitudinal panel only. This research data report presents estimates based on all available responses and evaluates the effect of the additional panel on these estimates. A complete set of 2012 SCPC tables with estimates based on the full sample accompanies this report.

Suggested Citation

  • Marcin Hitczenko, 2015. "Estimating population means in the 2012 Survey of Consumer Payment Choice," Research Data Report 15-2, Federal Reserve Bank of Boston.
    • Handle: RePEc:fip:fedbdr:15-2
    as

    Download full text from publisher

    File URL: http://www.bostonfed.org/economic/rdr/2015/rdr1502.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521828284, September.
    2. Kevin Foster & Erik Meijer & Scott Schuh & Mike Zabek, 2011. "The 2009 survey of consumer payment choice," Public Policy Discussion Paper 11-1, Federal Reserve Bank of Boston.
    3. Kevin Foster & Scott Schuh & Hanbing Zhang, 2013. "The 2010 Survey of Consumer Payment Choice," Research Data Report 13-2, Federal Reserve Bank of Boston.
    4. 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.
    5. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521535380, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Claire Greene & Scott Schuh & Joanna Stavins, 2017. "The 2015 Survey of Consumer Payment Choice: summary results," Research Data Report 17-3, Federal Reserve Bank of Boston.
    2. Marco Angrisani & Kevin Foster & Marcin Hitczenko, 2015. "The 2013 Survey of Consumer Payment Choice: technical appendix," Research Data Report 15-5, Federal Reserve Bank of Boston.
    3. Claire Greene & Scott Schuh & Joanna Stavins, 2016. "The 2014 survey of consumer payment choice: summary results," Research Data Report 16-3, Federal Reserve Bank of Boston.
    4. Marco Angrisani & Kevin Foster & Marcin Hitczenko, 2016. "The 2014 survey of consumer payment choice: technical appendix," Research Data Report 16-4, Federal Reserve Bank of Boston.
    5. Scott Schuh, 2017. "Measuring consumer expenditures with payment diaries," Working Papers 17-2, Federal Reserve Bank of Boston.
    6. Claire Greene & Scott Schuh & Joanna Stavins, 2018. "The 2012 diary of consumer payment choice," Research Data Report 18-1, Federal Reserve Bank of Boston.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marco Angrisani & Kevin Foster & Marcin Hitczenko, 2015. "The 2013 Survey of Consumer Payment Choice: technical appendix," Research Data Report 15-5, Federal Reserve Bank of Boston.
    2. Marco Angrisani & Kevin Foster & Marcin Hitczenko, 2013. "The 2010 Survey of Consumer Payment Choice: technical appendix," Research Data Report 13-3, Federal Reserve Bank of Boston.
    3. Marco Angrisani & Kevin Foster & Marcin Hitczenko, 2014. "The 2011 and 2012 Surveys of Consumer Payment Choice: technical appendix," Research Data Report 14-2, Federal Reserve Bank of Boston.
    4. Öztürk, Gamze & Yetkiner, Hakan & Özden, Elif, 2020. "Macroeconomic determinants of antidepressant use," Journal of Policy Modeling, Elsevier, vol. 42(6), pages 1394-1407.
    5. Marco Angrisani & Kevin Foster & Marcin Hitczenko, 2017. "The 2015 Survey of Consumer Payment Choice: technical appendix," Research Data Report 17-4, Federal Reserve Bank of Boston.
    6. Marco Angrisani & Kevin Foster & Marcin Hitczenko, 2016. "The 2014 survey of consumer payment choice: technical appendix," Research Data Report 16-4, Federal Reserve Bank of Boston.
    7. Marco Angrisani & Kevin Foster & Marcin Hitczenko, 2020. "The 2016 and 2017 Surveys of Consumer Payment Choice: Technical Appendix," Consumer Payments Research Data Reports 2018-4, Federal Reserve Bank of Atlanta.
    8. Kerstens, Kristiaan & Van de Woestyne, Ignace, 2014. "Comparing Malmquist and Hicks–Moorsteen productivity indices: Exploring the impact of unbalanced vs. balanced panel data," European Journal of Operational Research, Elsevier, vol. 233(3), pages 749-758.
    9. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    10. Patricio Aroca & Juan Gabriel Brida & Juan Sebastián Pereyra & Serena Volo, 2014. "Tourism statistics: correcting data inadequacy using coarsened exact matching," BEMPS - Bozen Economics & Management Paper Series BEMPS22, Faculty of Economics and Management at the Free University of Bozen.
    11. Fulvia Pennoni & Beata Bal-Domańska, 2022. "NEETs and Youth Unemployment: A Longitudinal Comparison Across European Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(2), pages 739-761, July.
    12. Rodrigo V. Ventura & Manoela Cabo & Rafael Caixeta & Elton Fernandes & Vicente Aprigliano Fernandes, 2020. "Air Transportation Income and Price Elasticities in Remote Areas: The Case of the Brazilian Amazon Region," Sustainability, MDPI, vol. 12(15), pages 1-18, July.
    13. Lynn, Peter & Bosch, Oriol, 2021. "Methodological lessons from the pilot longitudinal survey on debt advice," ISER Working Paper Series 2021-03, Institute for Social and Economic Research.
    14. Caudill, Jonathan W. & Getty, Ryan & Smith, Rick & Patten, Ryan & Trulson, Chad R., 2013. "Discouraging window breakers: The lagged effects of police activity on crime," Journal of Criminal Justice, Elsevier, vol. 41(1), pages 18-23.
    15. Adolfo Maza & Paula Gutiérrez-Portilla, 2022. "Outward FDI and exports relation: A heterogeneous panel approach dealing with cross-sectional dependence," International Economics, CEPII research center, issue 170, pages 174-189.
    16. Abayomi Oredegbe, 2022. "Competition and Banking Industry Stability: How Do BRICS and G7 Compare?," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(1), pages 7-31, March.
    17. Maliyamu Abudureheman & Qingzhe Jiang & Xiucheng Dong & Cong Dong, 2022. "CO 2 Emissions in China: Does the Energy Rebound Matter?," Energies, MDPI, vol. 15(12), pages 1-25, June.
    18. Edward Frees & Jee-Seon Kim, 2006. "Multilevel Model Prediction," Psychometrika, Springer;The Psychometric Society, vol. 71(1), pages 79-104, March.
    19. Jun Zhao & Xiucheng Dong & Kangyin Dong, 2021. "Can agglomeration of producer services reduce urban–rural income inequality? The case of China," Australian Economic Papers, Wiley Blackwell, vol. 60(4), pages 736-762, December.
    20. LU, Yi & Zhao, Jianting & Wu, Xueying & Lo, Siu Ming, 2020. "Escaping to nature in pandemic: a natural experiment of COVID-19 in Asian cities," SocArXiv rq8sn, Center for Open Science.

    More about this item

    Keywords

    raking; coverage; American Life Panel;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedbdr:15-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Spozio (email available below). General contact details of provider: https://edirc.repec.org/data/frbbous.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.