IDEAS home Printed from https://ideas.repec.org/p/zbw/ifwkwp/1835.html
   My bibliography  Save this paper

Empirical characteristics of legal and illegal immigrants in the US

Author

Listed:
  • Caponi, Vincenzo
  • Plesca, Miana

Abstract

We combine the New Immigrant Survey (NIS), which contains information on US legal immigrants, with the American Community Survey (ACS), which contains information on all immigrants to the U.S., legal and illegal ones. Using econometric methodology proposed by Lancaster and Imbens (1996) we compute the probability for each observation in the ACS data to refer to an illegal immigrant, conditional on observed characteristics. The results for illegal versus legal immigrants are novel, since no other work has quanti ed the characteristics of illegal immigrants from a random sample. We nd that, compared to legal immigrants, illegal immigrants are more likely to be less educated, males, and married with spouse not present. These results are heterogeneous across education categories, country of origin (Mexico) and whether professional occupations are included or not in the analysis. Forecasts for the distribution of certain legal and illegal characteristics match those available from other sources, such as aggregate imputations by the Department of Homeland Security for illegal immigrants.

Suggested Citation

  • Caponi, Vincenzo & Plesca, Miana, 2013. "Empirical characteristics of legal and illegal immigrants in the US," Kiel Working Papers 1835, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwkwp:1835
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/76716/1/751107859.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    2. Lancaster, Tony & Imbens, Guido, 1996. "Case-control studies with contaminated controls," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 145-160.
    3. Gary Burtless & Audrey Singer, 2011. "The Earnings and Social Security Contributions of Documented and Undocumented Mexican Immigrants," Working Papers, Center for Retirement Research at Boston College wp2011-1, Center for Retirement Research, revised Jan 2011.
    4. Ridder, Geert & Moffitt, Robert, 2007. "The Econometrics of Data Combination," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 75, Elsevier.
    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. Michael Good, 2013. "Gravity and Localized Migration," Economics Bulletin, AccessEcon, vol. 33(4), pages 2445-2453.
    2. Paolo Pinotti, 2017. "Clicking on Heaven's Door: The Effect of Immigrant Legalization on Crime," American Economic Review, American Economic Association, vol. 107(1), pages 138-168, January.
    3. Michael Good, 2013. "Geographic Proximity and the Pro-trade Effect of Migration: State-level Evidence from Mexican Migrants in the United States," 2013 Papers pgo530, Job Market Papers.
    4. Michael Good, 2012. "How Localized is the Pro-trade Effect of Immigration? Evidence from Mexico and the United States," Working Papers 1203, Florida International University, Department of Economics.
    5. Sankar Mukhopadhyay, 2019. "Legal status and immigrants’ educational investment decisions," Review of Economics of the Household, Springer, vol. 17(1), pages 1-29, March.
    6. BURZYNSKI Michal & GOLA Pawel, 2019. "Mexican Migration to the United States: Selection, Assignment, and Welfare," LISER Working Paper Series 2019-10, Luxembourg Institute of Socio-Economic Research (LISER).
    7. Altangerel, Khulan, 2019. "Essays on immigration policy," Other publications TiSEM 954c6300-249e-496c-8cef-0, Tilburg University, School of Economics and Management.

    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. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
    2. Atsushi Inoue & Tong Li & Qi Xu, 2021. "Two Sample Unconditional Quantile Effect," Papers 2105.09445, arXiv.org.
    3. Esmeralda A. Ramalho & Joaquim J. S. Ramalho & Rui Evangelista, 2017. "Combining micro and macro data in hedonic price indexes," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(2), pages 317-332, June.
    4. Joanna Tyrowicz & Lucas van der Velde, 2017. "When the opportunity knocks: large structural shocks and gender wage gaps," GRAPE Working Papers 2, GRAPE Group for Research in Applied Economics.
    5. Francisco H G Ferreira & Sergio P Firpo & Julián Messina, 2022. "Labor Market Experience and Falling Earnings Inequality in Brazil: 1995–2012," The World Bank Economic Review, World Bank, vol. 36(1), pages 37-67.
    6. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    7. Christian Bontemps & Thierry Magnac & Eric Maurin, 2012. "Set Identified Linear Models," Econometrica, Econometric Society, vol. 80(3), pages 1129-1155, May.
    8. Leone Leonida & Marianna Marra & Sergio Scicchitano & Antonio Giangreco & Marco Biagetti, 2020. "Estimating the Wage Premium to Supervision for Middle Managers in Different Contexts: Evidence from Germany and the UK," Work, Employment & Society, British Sociological Association, vol. 34(6), pages 1004-1026, December.
    9. Katie Meara & Francesco Pastore & Allan Webster, 2020. "The gender pay gap in the USA: a matching study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 271-305, January.
    10. Sergio Longobardi & Margherita Maria Pagliuca & Andrea Regoli, 2018. "Can problem-solving attitudes explain the gender gap in financial literacy? Evidence from Italian students’ data," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1677-1705, July.
    11. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    12. Manuel Arellano & Stéphane Bonhomme, 2017. "Quantile Selection Models With an Application to Understanding Changes in Wage Inequality," Econometrica, Econometric Society, vol. 85, pages 1-28, January.
    13. Sung Jae Jun & Sokbae Lee, 2024. "Causal Inference Under Outcome-Based Sampling with Monotonicity Assumptions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 998-1009, July.
    14. Männasoo, Kadri, 2022. "Working hours and gender wage differentials: Evidence from the American Working Conditions Survey," Labour Economics, Elsevier, vol. 76(C).
    15. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    16. Amarante, Verónica & Gómez, Marcela, 2016. "El proceso de formalización en el mercado laboral uruguayo," Estudios y Perspectivas – Oficina de la CEPAL en Montevideo 39859, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    17. James Cloyne & Òscar Jordà & Alan M. Taylor, 2020. "Decomposing the Fiscal Multiplier," Working Paper Series 2020-12, Federal Reserve Bank of San Francisco.
    18. Altay Mussurov & Dena Sholk & G. Reza Arabsheibani, 2019. "Informal employment in Kazakhstan: a blessing in disguise?," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(2), pages 267-284, June.
    19. Martínez-Iriarte, Julián & Montes-Rojas, Gabriel & Sun, Yixiao, 2024. "Unconditional effects of general policy interventions," Journal of Econometrics, Elsevier, vol. 238(2).
    20. Sloczynski, Tymon, 2013. "Population Average Gender Effects," IZA Discussion Papers 7315, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    legal immigrants; illegal immigrants; contaminated controls;
    All these keywords.

    JEL classification:

    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration

    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:zbw:ifwkwp:1835. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/iwkiede.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.