IDEAS home Printed from https://ideas.repec.org/p/crm/wpaper/26152.html

The THIRD Way in Empirical Economics Research

Author

Listed:
  • David Green

Abstract

There is a third way of doing empirical work in economics that combines the benefits of the two commonly described approaches (quasi-experimental (QE) and structural). It uses an economic model to provide interpretability and help in deciding on controls and the nature and solutions to endogeneity problems, but utilizes an approximation to get to an empirical specification that allows for QE-type assessments of identifying data variation. This approach is used in some of the most influential papers in applied economics. This paper makes the case for recognizing this as a specific approach to begin a discussion on improving implementation.

Suggested Citation

  • David Green, 2026. "The THIRD Way in Empirical Economics Research," RFBerlin Discussion Paper Series 26152, ROCKWOOL Foundation Berlin (RFBerlin).
  • Handle: RePEc:crm:wpaper:26152
    as

    Download full text from publisher

    File URL: https://www.rfberlin.com/wp-content/uploads/2026/05/26152.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Richard Blundell & Ian Walker, 1986. "A Life-Cycle Consistent Empirical Model of Family Labour Supply Using Cross-Section Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(4), pages 539-558.
    2. Kory Kroft & Yao Luo & Magne Mogstad & Bradley Setzler, 2025. "Imperfect Competition and Rents in Labor and Product Markets: The Case of the Construction Industry," American Economic Review, American Economic Association, vol. 115(9), pages 2926-2969, September.
    3. MaCurdy, Thomas E, 1981. "An Empirical Model of Labor Supply in a Life-Cycle Setting," Journal of Political Economy, University of Chicago Press, vol. 89(6), pages 1059-1085, December.
    4. Luigi Guiso & Luigi Pistaferri & Fabiano Schivardi, 2005. "Insurance within the Firm," Journal of Political Economy, University of Chicago Press, vol. 113(5), pages 1054-1087, October.
    5. Richard Blundell & Alan Duncan & Costas Meghir, 1998. "Estimating Labor Supply Responses Using Tax Reforms," Econometrica, Econometric Society, vol. 66(4), pages 827-862, July.
    6. Hamish Low & Costas Meghir, 2017. "The Use of Structural Models in Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 33-58, Spring.
    7. Paul Beaudry & David A. Green & Benjamin Sand, 2012. "Does Industrial Composition Matter for Wages? A Test of Search and Bargaining Theory," Econometrica, Econometric Society, vol. 80(3), pages 1063-1104, May.
    8. Richard Blundell & Luigi Pistaferri & Ian Preston, 2008. "Consumption Inequality and Partial Insurance," American Economic Review, American Economic Association, vol. 98(5), pages 1887-1921, December.
    9. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
    10. McGrattan, Ellen R, 1990. "Solving the Stochastic Growth Model by Linear-Quadratic Approximation," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 41-44, January.
    11. Paul Beaudry & John DiNardo, 1995. "Is the Behavior of Hours Worked Consistent with Implicit Contract Theory?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 743-768.
    12. Lemieux, Thomas & Fortin, Bernard & Frechette, Pierre, 1994. "The Effect of Taxes on Labor Supply in the Underground Economy," American Economic Review, American Economic Association, vol. 84(1), pages 231-254, March.
    13. Christian Dustmann & Uta Schönberg & Jan Stuhler, 2017. "Labor Supply Shocks, Native Wages, and the Adjustment of Local Employment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(1), pages 435-483.
    14. Dominick Bartelme & Arnaud Costinot & Dave Donaldson & Andrés Rodríguez-Clare, 2025. "The Textbook Case for Industrial Policy: Theory Meets Data," Journal of Political Economy, University of Chicago Press, vol. 133(5), pages 1527-1573.
    15. Michael Amior & Alan Manning, 2018. "The Persistence of Local Joblessness," American Economic Review, American Economic Association, vol. 108(7), pages 1942-1970, July.
    16. Orazio Attanasio & Peter Levell & Hamish Low & Virginia Sánchez‐Marcos, 2018. "Aggregating Elasticities: Intensive and Extensive Margins of Women's Labor Supply," Econometrica, Econometric Society, vol. 86(6), pages 2049-2082, November.
    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. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
    2. Orazio Attanasio & Peter Levell & Hamish Low & Virginia Sánchez-Marcos, 2015. "Aggregating Elasticities: Intensive and Extensive Margins of Female Labour Supply," NBER Working Papers 21315, National Bureau of Economic Research, Inc.
    3. Michael P. Keane, 2011. "Labor Supply and Taxes: A Survey," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 961-1075, December.
    4. Antonio Cutanda & Juan A. Sanchis-Llopis, 2021. "Joint estimation of intertemporal labor and consumption decisions: evidence from Spanish households headed by working men," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(4), pages 611-629, December.
    5. Michael Keane & Richard Rogerson, 2015. "Reconciling Micro and Macro Labor Supply Elasticities: A Structural Perspective," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 89-117, 08.

    More about this item

    Keywords

    ;

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:crm:wpaper:26152. 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: Moritz Lubczyk or Matthew Nibloe (email available below). General contact details of provider: https://edirc.repec.org/data/cmucluk.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.