IDEAS home Printed from https://ideas.repec.org/p/boc/scon20/2.html

Implementing quantile selection models in Stata

Author

Listed:
  • Mariel Siravegna

    (Georgetown University)

Abstract

This presentation describes qregsel, a community-contributed command to implement a copula-based sample-selection correction for quantile regression recently proposed by Arellano and Bonhomme (2017). We illustrate the use of qregsel with an empirical example using the data employed in the Stata base reference manual for the heckman command.

Suggested Citation

  • Mariel Siravegna, 2020. "Implementing quantile selection models in Stata," 2020 Stata Conference 2, Stata Users Group.
    • Handle: RePEc:boc:scon20:2
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/scon2020/us20_Siravegna.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    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. is not listed on IDEAS
    2. Natalya Presman & Tanya Suhoy, 2024. "How have government housing programs affected developers' bids in Israel Land Authority land tenders?," Bank of Israel Working Papers 2024.08, Bank of Israel.
    3. Ngoma, Hambulo & Marenya, Paswel & Tufa, Adane & Alene, Arega & Matin, Md Abdul & Thierfelder, Christian & Chikoye, David, 2024. "Too fast or too slow: The speed and persistence of adoption of conservation agriculture in southern Africa," Technological Forecasting and Social Change, Elsevier, vol. 208(C).

    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. Naguib, Costanza, 2019. "Estimating the Heterogeneous Impact of the Free Movement of Persons on Relative Wage Mobility," Economics Working Paper Series 1903, University of St. Gallen, School of Economics and Political Science.
    2. Natalya Presman & Tanya Suhoy, 2024. "How have government housing programs affected developers' bids in Israel Land Authority land tenders?," Bank of Israel Working Papers 2024.08, Bank of Israel.
    3. Wang, Wen & Lien, Donald, 2018. "Union membership, union coverage and wage dispersion of rural migrants: Evidence from Suzhou industrial sector," China Economic Review, Elsevier, vol. 49(C), pages 96-113.
    4. Anwar S Adem, 2024. "Distributional effect of import shocks on British local labour markets," Oxford Economic Papers, Oxford University Press, vol. 76(2), pages 412-432.
    5. Egshiglen Batbayar & Christoph Breunig & Peter Haan & Boryana Ilieva, 2026. "Quantile Selection in the Gender Pay Gap," Discussion Papers of DIW Berlin 2151, DIW Berlin, German Institute for Economic Research.
    6. Donna Gilleskie & Euna Han & Edward Norton, 2017. "Disentangling the Contemporaneous and Dynamic Effects of Human and Health Capital on Wages over the Life Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 25, pages 350-383, April.
    7. Hayri Alper Arslan & Brantly Callaway & Tong Li, 2024. "Testing the effects of an unobservable factor: Do marriage prospects affect college major choice?," Papers 2410.19947, arXiv.org, revised Aug 2026.
    8. Wang, Qian, 2025. "Identification of quantile regression models with endogeneity," Economics Letters, Elsevier, vol. 254(C).
    9. Fan Wu & Yi Xin, 2024. "Estimating Nonseparable Selection Models: A Functional Contraction Approach," Papers 2411.01799, arXiv.org, revised Jun 2026.
    10. Fernández-Val, Iván & van Vuuren, Aico & Vella, Francis, 2018. "Nonseparable Sample Selection Models with Censored Selection Rules: An Application to Wage Decompositions," IZA Discussion Papers 11294, IZA Network @ LISER.
    11. Egshiglen Batbayar & Christoph Breunig & Peter Haan & Boryana Ilieva, 2026. "Quantile Selection in the Gender Pay Gap," Rationality and Competition Discussion Paper Series 560, CRC TRR 190 Rationality and Competition.
    12. Fernández-Val, Iván & van Vuuren, Aico & Vella, Francis, 2018. "Decomposing Real Wage Changes in the United States," IZA Discussion Papers 12044, IZA Network @ LISER.
    13. Iván Fernández‐Val & Aico van Vuuren & Francis Vella & Franco Peracchi, 2023. "Selection and the distribution of female real hourly wages in the United States," Quantitative Economics, Econometric Society, vol. 14(2), pages 571-607, May.
    14. Yamamoto, Yuki & Matsumoto, Ken’ichi & Kawata, Keisuke & Kaneko, Shinji, 2019. "Gender-based differences in employment opportunities and wage distribution in Nepal," Journal of Asian Economics, Elsevier, vol. 64(C), pages 1-1.
    15. Myoung‐jae Lee & Jin‐young Choi, 2022. "Finding mover–stayer quantile difference due to unobservables using quantile selection corrections," Bulletin of Economic Research, Wiley Blackwell, vol. 74(3), pages 704-721, July.
    16. Victor Chernozhukov & Ivan Fernandez-Val & Siyi Luo, 2023. "Distribution regression with sample selection and UK wage decomposition," CeMMAP working papers 09/23, Institute for Fiscal Studies.
    17. Jayeeta Bhattacharya, 2020. "Quantile regression with generated dependent variable and covariates," Papers 2012.13614, arXiv.org.
    18. Gallego Granados, Patricia & Wrohlich, Katharina, 2019. "Selection into Employment and the Gender Wage Gap across the Distribution and over Time," IZA Discussion Papers 12859, IZA Network @ LISER.
    19. Alícia Adserà & Ana M. Ferrer & Virginia Hernanz, 2023. "Differences in Skill Requirements Between Jobs Held by Immigrant and Native Women Across Five European Destinations," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(3), pages 1-29, June.
    20. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers 36/17, Institute for Fiscal Studies.

    More about this item

    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:boc:scon20:2. 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: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.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.