IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2205.01175.html
   My bibliography  Save this paper

Integrating Structural and Reduced-Form Methods in Empirical Finance

Author

Listed:
  • Toni M. Whited

Abstract

I discuss various ways in which inference based on the estimation of the parameters of statistical models (reduced-form estimation) can be combined with inference based on the estimation of the parameters of economic models (structural estimation). I discuss five basic categories of integration: directly combining the two methods, using statistical models to simplify structural estimation, using structural estimation to extend the validity of reduced-form results, using reduced-form techniques to assess the external validity of structural estimations, and using structural estimation as a sample selection remedy. I illustrate each of these methods with examples from corporate finance, banking, and personal finance.

Suggested Citation

  • Toni M. Whited, 2022. "Integrating Structural and Reduced-Form Methods in Empirical Finance," Papers 2205.01175, arXiv.org.
  • Handle: RePEc:arx:papers:2205.01175
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2205.01175
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Keane, Michael P., 2010. "Structural vs. atheoretic approaches to econometrics," Journal of Econometrics, Elsevier, vol. 156(1), pages 3-20, May.
    2. Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 3-30, Spring.
    3. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    4. Briggs, Joseph & Cesarini, David & Lindqvist, Erik & Östling, Robert, 2021. "Windfall gains and stock market participation," Journal of Financial Economics, Elsevier, vol. 139(1), pages 57-83.
    5. Carola Frydman & Raven E. Saks, 2010. "Executive Compensation: A New View from a Long-Term Perspective, 1936--2005," The Review of Financial Studies, Society for Financial Studies, vol. 23(5), pages 2099-2138.
    6. James J. Heckman, 2010. "Building Bridges between Structural and Program Evaluation Approaches to Evaluating Policy," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 356-398, June.
    7. Patrick Bajari & C. Lanier Benkard & Jonathan Levin, 2007. "Estimating Dynamic Models of Imperfect Competition," Econometrica, Econometric Society, vol. 75(5), pages 1331-1370, September.
    8. Schroth, Enrique & Suarez, Gustavo A. & Taylor, Lucian A., 2014. "Dynamic debt runs and financial fragility: Evidence from the 2007 ABCP crisis," Journal of Financial Economics, Elsevier, vol. 112(2), pages 164-189.
    9. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    10. V. Joseph Hotz & Robert A. Miller, 1993. "Conditional Choice Probabilities and the Estimation of Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 497-529.
    11. Mary Amiti & David E. Weinstein, 2018. "How Much Do Idiosyncratic Bank Shocks Affect Investment? Evidence from Matched Bank-Firm Loan Data," Journal of Political Economy, University of Chicago Press, vol. 126(2), pages 525-587.
    12. Marco Di Maggio & Mark Egan & Francesco A. Franzoni, 2021. "The Value of Intermediation in the Stock Market," Swiss Finance Institute Research Paper Series 21-01, Swiss Finance Institute.
    13. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    14. Agrawal, Ashwini K., 2013. "The impact of investor protection law on corporate policy and performance: Evidence from the blue sky laws," Journal of Financial Economics, Elsevier, vol. 107(2), pages 417-435.
    15. Christ, Carl F, 1994. "The Cowles Commission's Contributions to Econometrics at Chicago, 1939-1955," Journal of Economic Literature, American Economic Association, vol. 32(1), pages 30-59, March.
    16. Lucian A. Taylor, 2010. "Why Are CEOs Rarely Fired? Evidence from Structural Estimation," Journal of Finance, American Finance Association, vol. 65(6), pages 2051-2087, December.
    17. Gregor Matvos & Amit Seru, 2014. "Resource Allocation within Firms and Financial Market Dislocation: Evidence from Diversified Conglomerates," The Review of Financial Studies, Society for Financial Studies, vol. 27(4), pages 1143-1189.
    18. Frydman, Carola & Papanikolaou, Dimitris, 2018. "In search of ideas: Technological innovation and executive pay inequality," Journal of Financial Economics, Elsevier, vol. 130(1), pages 1-24.
    19. Benjamin J. Keys & Tanmoy Mukherjee & Amit Seru & Vikrant Vig, 2010. "Did Securitization Lead to Lax Screening? Evidence from Subprime Loans," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 307-362.
    20. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    21. Santiago Bazdresch & R. Jay Kahn & Toni M. Whited, 2018. "Estimating and Testing Dynamic Corporate Finance Models," The Review of Financial Studies, Society for Financial Studies, vol. 31(1), pages 322-361.
    22. Welch, Ivo, 2013. "A Critique of Recent Quantitative and Deep-Structure Modeling in Capital Structure Research and Beyond," Critical Finance Review, now publishers, vol. 2(1), pages 131-172, July.
    23. Alexander Karaivanov & Robert M. Townsend, 2014. "Dynamic Financial Constraints: Distinguishing Mechanism Design From Exogenously Incomplete Regimes," Econometrica, Econometric Society, vol. 82(3), pages 887-959, May.
    24. Catherine, Sylvain, 2022. "Keeping options open: What motivates entrepreneurs?," Journal of Financial Economics, Elsevier, vol. 144(1), pages 1-21.
    25. Morten Bennedsen & Kasper Meisner Nielsen & Francisco Perez-Gonzalez & Daniel Wolfenzon, 2007. "Inside the Family Firm: The Role of Families in Succession Decisions and Performance," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(2), pages 647-691.
    26. Russell W. Cooper & John C. Haltiwanger, 2006. "On the Nature of Capital Adjustment Costs," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(3), pages 611-633.
    27. Strebulaev, Ilya A. & Whited, Toni M., 2013. "Dynamic Corporate Finance is Useful: A Comment on Welch (2013)," Critical Finance Review, now publishers, vol. 2(1), pages 173-191, July.
    28. Ivanov, Ivan T. & Pettit, Luke & Whited, Toni, 2021. "Taxes Depress Corporate Borrowing: Evidence from Private Firms," IHS Working Paper Series 32, Institute for Advanced Studies.
    29. Hansen, Lars Peter & Singleton, Kenneth J, 1982. "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 50(5), pages 1269-1286, September.
    30. Kairong Xiao & Francesca Cornelli, 2020. "Monetary Transmission through Shadow Banks," The Review of Financial Studies, Society for Financial Studies, vol. 33(6), pages 2379-2420.
    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. Strebulaev, Ilya A. & Whited, Toni M., 2012. "Dynamic Models and Structural Estimation in Corporate Finance," Foundations and Trends(R) in Finance, now publishers, vol. 6(1–2), pages 1-163, November.
    2. Nicolai V. Kuminoff & V. Kerry Smith & Christopher Timmins, 2010. "The New Economics of Equilibrium Sorting and its Transformational Role for Policy Evaluation," NBER Working Papers 16349, National Bureau of Economic Research, Inc.
    3. Nikhil Agarwal & Eric Budish, 2021. "Market Design," NBER Working Papers 29367, National Bureau of Economic Research, Inc.
    4. Peter Arcidiacono & Paul B. Ellickson, 2011. "Practical Methods for Estimation of Dynamic Discrete Choice Models," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 363-394, September.
    5. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
    6. Ariel Pakes, 2008. "Theory and Empirical Work on Imperfectly Competitive Markets," NBER Working Papers 14117, National Bureau of Economic Research, Inc.
    7. Aamir Rafique Hashmi & Johannes Van Biesebroeck, 2016. "The Relationship between Market Structure and Innovation in Industry Equilibrium: A Case Study of the Global Automobile Industry," The Review of Economics and Statistics, MIT Press, vol. 98(1), pages 192-208, March.
    8. Paul Ellickson & Sanjog Misra, 2012. "Enriching interactions: Incorporating outcome data into static discrete games," Quantitative Marketing and Economics (QME), Springer, vol. 10(1), pages 1-26, March.
    9. Patrick Bajari & Chenghuan Sean Chu & Minjung Park, 2008. "An Empirical Model of Subprime Mortgage Default From 2000 to 2007," NBER Working Papers 14625, National Bureau of Economic Research, Inc.
    10. Koray Cosguner & Tat Y. Chan & P. B. (Seethu) Seetharaman, 2018. "Dynamic Pricing in a Distribution Channel in the Presence of Switching Costs," Management Science, INFORMS, vol. 64(3), pages 1212-1229, March.
    11. Johannes Van Biesebroeck & Aamir Hashmi, 2007. "Market Structure and Innovation: A Dynamic Analysis of the Global Automobile Industry," 2007 Meeting Papers 362, Society for Economic Dynamics.
    12. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    13. Victor Aguirregabiria & Margaret Slade, 2017. "Empirical models of firms and industries," Canadian Journal of Economics, Canadian Economics Association, vol. 50(5), pages 1445-1488, December.
    14. Daniel Ackerberg, 2009. "A new use of importance sampling to reduce computational burden in simulation estimation," Quantitative Marketing and Economics (QME), Springer, vol. 7(4), pages 343-376, December.
    15. Holmes, Thomas J. & Sieg, Holger, 2015. "Structural Estimation in Urban Economics," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 69-114, Elsevier.
    16. Myrto Kalouptsidi & Paul T. Scott & Eduardo Souza-Rodrigues, 2018. "Linear IV Regression Estimators for Structural Dynamic Discrete Choice Models," NBER Working Papers 25134, National Bureau of Economic Research, Inc.
    17. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2020. "Transparency in Structural Research," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(4), pages 711-722, October.
    18. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2017. "Measuring the Sensitivity of Parameter Estimates to Estimation Moments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1553-1592.
    19. Victor Aguirregabiria & Victor Aguirregabiria & Aviv Nevo & Aviv Nevo, 2010. "Recent Developments in Empirical IO: Dynamic Demand and Dynamic Games," Working Papers tecipa-419, University of Toronto, Department of Economics.
    20. Victor Aguirregabiria & Arvind Magesan, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural Models," Advances in Econometrics, in: Structural Econometric Models, volume 31, pages 3-44, Emerald Group Publishing Limited.

    More about this item

    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:arx:papers:2205.01175. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.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.