IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v080i06.html
   My bibliography  Save this article

Coefficient-Wise Tree-Based Varying Coefficient Regression with vcrpart

Author

Listed:
  • Bürgin, Reto
  • Ritschard, Gilbert

Abstract

The tree-based TVCM algorithm and its implementation in the R package vcrpart are introduced for generalized linear models. The purpose of TVCM is to learn whether and how the coefficients of a regression model vary by moderating variables. A separate partition is built for each potentially varying coefficient, allowing the user to specify coefficient-specific sets of potential moderators, and allowing the algorithm to select moderators individually by coefficient. In addition to describing the algorithm, the TVCM is evaluated using a benchmark comparison and a simulation study and the R commands are demonstrated by means of empirical applications.

Suggested Citation

  • Bürgin, Reto & Ritschard, Gilbert, 2017. "Coefficient-Wise Tree-Based Varying Coefficient Regression with vcrpart," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 80(i06).
    • Handle: RePEc:jss:jstsof:v:080:i06
    DOI: http://hdl.handle.net/10.18637/jss.v080.i06
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v080i06/v80i06.pdf
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v080i06/vcrpart_1.0-0.tar.gz
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v080i06/v80i06.R
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v080i06/v80i06-data.zip
    Download Restriction: no
    File URL: https://libkey.io/http://hdl.handle.net/10.18637/jss.v080.i06?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
    ---><---

    References listed on IDEAS

    as
    1. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    2. David Card, 1993. "Using Geographic Variation in College Proximity to Estimate the Return to Schooling," Working Papers 696, Princeton University, Department of Economics, Industrial Relations Section..
    3. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    4. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    5. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    6. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    7. David Card, 1993. "Using Geographic Variation in College Proximity to Estimate the Return to Schooling," Working Papers 696, Princeton University, Department of Economics, Industrial Relations Section..
    8. Wiji Arulampalam & Alison L. Booth & Mark L. Bryan, 2007. "Is There a Glass Ceiling over Europe? Exploring the Gender Pay Gap across the Wage Distribution," ILR Review, Cornell University, ILR School, vol. 60(2), pages 163-186, January.
    9. Bürgin, Reto & Ritschard, Gilbert, 2015. "Tree-based varying coefficient regression for longitudinal ordinal responses," Computational Statistics & Data Analysis, Elsevier, vol. 86(C), pages 65-80.
    10. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    11. Jamel Jouini, 2010. "Bootstrap methods for single structural change tests: power versus corrected size and empirical illustration," Statistical Papers, Springer, vol. 51(1), pages 85-109, January.
    Full references (including those not matched with items on IDEAS)

    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. Gensowski, Miriam, 2018. "Personality, IQ, and lifetime earnings," Labour Economics, Elsevier, vol. 51(C), pages 170-183.
    2. Ian Coxhead & Rashesh Shrestha, 2016. "Could a Resource Export Boom Reduce Workers’ Earnings? The Labour-Market Channel in Indonesia," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 52(2), pages 185-208, May.
    3. Gounder, Rukmani & Xing, Zhongwei, 2012. "Impact of education and health on poverty reduction: Monetary and non-monetary evidence from Fiji," Economic Modelling, Elsevier, vol. 29(3), pages 787-794.
    4. Mwangi S. Kimenyi & Germano Mwabu & Damiano Kulundu Manda, 2006. "Human Capital Externalities and Private Returns to Education in Kenya," Eastern Economic Journal, Eastern Economic Association, vol. 32(3), pages 493-513, Summer.
    5. Oancea, Bogdan & Pospisil, Richard & Dragoescu, Raluca, 2017. "The return to higher education: evidence from Romania," MPRA Paper 81720, University Library of Munich, Germany.
    6. Balestra, Simone & Backes-Gellner, Uschi, 2017. "Heterogeneous returns to education over the wage distribution: Who profits the most?," Labour Economics, Elsevier, vol. 44(C), pages 89-105.
    7. Fuchs, Michaela & Rossen, Anja & Weyh, Antje & Wydra-Somaggio, Gabriele, 2019. "Why do women earn more than men in some regions? : Explaining regional differences in the gender pay gap in Germany," IAB-Discussion Paper 201911, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    8. Ashenfelter, Orley & Harmon, Colm & Oosterbeek, Hessel, 1999. "A review of estimates of the schooling/earnings relationship, with tests for publication bias," Labour Economics, Elsevier, vol. 6(4), pages 453-470, November.
    9. Belzil, Christian, 2007. "The return to schooling in structural dynamic models: a survey," European Economic Review, Elsevier, vol. 51(5), pages 1059-1105, July.
    10. Carlos Pestana Barros & Carlos M. Santos, 2009. "Earnings of Hotel Managers: Comparing the Human and Social Capital Approach," Tourism Economics, , vol. 15(1), pages 87-103, March.
    11. Behrman, Jere R., 1996. "Measuring the effectiveness of schooling policies in developing countries: Revisiting issues of methodology," Economics of Education Review, Elsevier, vol. 15(4), pages 345-364, October.
    12. Marjan Petreski & Nikica Blazevski & Blagica Petreski, 2014. "Gender Wage Gap when Women are Highly Inactive: Evidence from Repeated Imputations with Macedonian Data," Journal of Labor Research, Springer, vol. 35(4), pages 393-411, December.
    13. Adriaan Kalwij, 2000. "Estimating the economic return to schooling on the basis of panel data," Applied Economics, Taylor & Francis Journals, vol. 32(1), pages 61-71.
    14. Carlos Pestana Barros, 2006. "Earnings, Schooling and Social Capital of Cooperative Managers," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 77(1), pages 1-20, March.
    15. Samuele CENTORRINO & Jeffrey S. RACINE, 2017. "Semiparametric Varying Coefficient Models with Endogenous Covariates," Annals of Economics and Statistics, GENES, issue 128, pages 261-295.
    16. C. Barros & F. Alves, 2003. "Human capital theory and social capital theory on sports management," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 9(3), pages 218-226, August.
    17. Sajjad Haider Bhatti & Muhammad Aslam & Jean Bourdon, 2018. "Market Returns to Education in Pakistan, Corrected for Endogeneity Bias," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(1), pages 79-96, Jan-June.
    18. Barros, Carlos Pestana & Nunes, Francisco, 2008. "Social capital in non-profit organizations: A multi-disciplinary perspective," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(4), pages 1554-1569, August.
    19. Thomas Bolli & Katherine Caves & Maria Esther Oswald-Egg, 2021. "Valuable Experience: How University Internships Affect Graduates’ Income," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(8), pages 1198-1247, December.
    20. Andersson, Roland & Nabavi Larijani, Pardis & Wilhelmsson, Mats, 2013. "The impact of vocational education and training on income in Sweden," Working Paper Series 13/4, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.

    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:jss:jstsof:v:080:i06. 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: http://www.jstatsoft.org/ .

    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.