IDEAS home Printed from https://ideas.repec.org/a/cpp/issued/v40y2014i1p67-83.html
   My bibliography  Save this article

Opting or Not Opting to Share Income Tax Information with the Census: Does It Affect Research Findings?

Author

Listed:
  • Pierre Brochu
  • Louis-Philippe Morin
  • Jean-Michel Billette

Abstract

This paper examines the implication of the decision to give 2006 Census respondents the option of letting Statistics Canada access their income tax files rather than answering income-related questions directly. We find that giving respondents the option to share their income tax files (or not) adds a confounding factor when it comes to measuring family-income inequality, particularly for the bottom tail of the distribution. The consent decision does not, however, materially affect the estimation of standard wage equations.

Suggested Citation

  • Pierre Brochu & Louis-Philippe Morin & Jean-Michel Billette, 2014. "Opting or Not Opting to Share Income Tax Information with the Census: Does It Affect Research Findings?," Canadian Public Policy, University of Toronto Press, vol. 40(1), pages 67-83, March.
    • Handle: RePEc:cpp:issued:v:40:y:2014:i:1:p:67-83
    DOI: 10.3138/cpp.2012-073
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.3138/cpp.2012-073
    Download Restriction: access restricted to subscribers
    File URL: https://libkey.io/10.3138/cpp.2012-073?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. David Card & Thomas Lemieux, 2001. "Can Falling Supply Explain the Rising Return to College for Younger Men? A Cohort-Based Analysis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 705-746.
    2. Murphy, Kevin M & Welch, Finis, 1990. "Empirical Age-Earnings Profiles," Journal of Labor Economics, University of Chicago Press, vol. 8(2), pages 202-229, April.
    3. Brahim Boudarbat & Thomas Lemieux & W. Craig Riddell, 2010. "The Evolution of the Returns to Human Capital in Canada, 1980-2005," Canadian Public Policy, University of Toronto Press, vol. 36(1), pages 63-89, March.
    4. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843, Elsevier.
    5. Rebecca M. Blank & Kerwin Kofi Charles & James M. Sallee, 2009. "A Cautionary Tale about the Use of Administrative Data: Evidence from Age of Marriage Laws," American Economic Journal: Applied Economics, American Economic Association, vol. 1(2), pages 128-149, April.
    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. Adnan, Wifag & Zhang, Jonathan & Zheng, Angela, 2023. "Intergenerational Mobility of Immigrants by Refugee Status: An Analysis of Linked Landing Files and Tax Records," IZA Discussion Papers 16471, Institute of Labor Economics (IZA).

    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. Thomas Lemieux, 2014. "Occupations, fields of study and returns to education," Canadian Journal of Economics, Canadian Economics Association, vol. 47(4), pages 1047-1077, November.
    2. John B. Burbidge & Kirk A. Collins & James B. Davies & Lonnie Magee, 2012. "Effective tax and subsidy rates on human capital in Canada," Canadian Journal of Economics, Canadian Economics Association, vol. 45(1), pages 189-219, February.
    3. Kadija Charni, 2016. "Is it Better to Work When We Are Older? An Empirical Comparison Between France and Great Britain," AMSE Working Papers 1640, Aix-Marseille School of Economics, France.
    4. James J. Heckman & Lance J. Lochner & Petra E. Todd, 2008. "Earnings Functions and Rates of Return," Journal of Human Capital, University of Chicago Press, vol. 2(1), pages 1-31.
    5. Florentino Felgueroso & Sergi Jiménez Martín, 2009. "The "New Growth Model". How and with Whom?," Working Papers 2009-39, FEDEA.
    6. Angel de la Fuente & Antonio Ciccone, 2003. "Human capital in a global and knowledge-based economy," UFAE and IAE Working Papers 562.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    7. David A. Green & Benjamin M. Sand, 2015. "Has the Canadian labour market polarized?," Canadian Journal of Economics, Canadian Economics Association, vol. 48(2), pages 612-646, May.
    8. James J. Heckman & Lance J. Lochner & Petra E. Todd, 2003. "Fifty Years of Mincer Earnings Regressions," NBER Working Papers 9732, National Bureau of Economic Research, Inc.
    9. Morin, Louis-Philippe, 2015. "Cohort size and youth earnings: Evidence from a quasi-experiment," Labour Economics, Elsevier, vol. 32(C), pages 99-111.
    10. Fernandez Sierra, Manuel & Messina, Julián, 2017. "Skill Premium, Labor Supply and Changes in the Structure of Wages in Latin America," IZA Discussion Papers 10718, Institute for the Study of Labor (IZA).
    11. Costas Meghir & Luigi Pistaferri, 2004. "Income Variance Dynamics and Heterogeneity," Econometrica, Econometric Society, vol. 72(1), pages 1-32, January.
    12. Fernández, Manuel & Messina, Julián, 2018. "Skill premium, labor supply, and changes in the structure of wages in Latin America," Journal of Development Economics, Elsevier, vol. 135(C), pages 555-573.
    13. Cragun, Randy & Tamura, Robert & Jerzmanowski, Michal, 2017. "Directed technical change: A macro perspective on life cycle earnings profiles," MPRA Paper 81830, University Library of Munich, Germany.
    14. Erik Hurst & Geng Li & Benjamin Pugsley, 2014. "Are Household Surveys Like Tax Forms? Evidence from Income Underreporting of the Self-Employed," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 19-33, March.
    15. Fatih Guvenen & Fatih Karahan & Serdar Ozkan & Jae Song, 2021. "What Do Data on Millions of U.S. Workers Reveal About Lifecycle Earnings Dynamics?," Econometrica, Econometric Society, vol. 89(5), pages 2303-2339, September.
    16. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2019. "Multidemsional Skills and Returns to Schooling: Evidence from an Interactive Fixed Effects Aproach and a Linked Survey-Administrative Dataset," Purdue University Economics Working Papers 1316, Purdue University, Department of Economics.
    17. Lance Lochner & Alexander Monge-Naranjo, 2014. "Student Loans and Repayment: Theory, Evidence and Policy," Working Papers 2014-40, Federal Reserve Bank of St. Louis.
    18. Deniz Ozabaci & Daniel Henderson, 2015. "Additive kernel estimates of returns to schooling," Empirical Economics, Springer, vol. 48(1), pages 227-251, February.
    19. Emanuelle Bourbeau & Pierre Lefebvre & Philip Merrigan, 2011. "Provincial Returns to Education for 21 to 35 year-olds: Results from the 1991-2006 Canadian Analytic Censuses Files," Cahiers de recherche 1106, CIRPEE.
    20. Khan, Bilal Muhammad, 2019. "Education Occupation Mismatch in Developing countries," MPRA Paper 92324, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:cpp:issued:v:40:y:2014:i:1:p:67-83. 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: Iver Chong (email available below). General contact details of provider: https://www.utpjournals.press/loi/cpp .

    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.