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A discrete choice model for large heterogeneous panels with interactive fixed effects with an application to the determinants of corporate bond issuance

Author

Listed:
  • Lena Boneva (Körber)

    (Institute for Fiscal Studies)

  • Oliver Linton

    () (Institute for Fiscal Studies and University of Cambridge)

Abstract

What is the effect of funding costs on the conditional probability of issuing a corporate bond? We study this question in a novel dataset covering 5610 issuances by US firms over the period from 1990 to 2014. Identifi cation of this effect is complicated because of unobserved, common shocks such as the global fi nancial crisis. To account for these shocks, we extend the common correlated effects estimator to settings where outcomes are discrete. Both the asymptotic properties and the small sample behavior of this estimator are documented. We fi nd that for non- financial fi rms, yields are negatively related to bond issuance but that e ffect is larger in the pre-crisis period.

Suggested Citation

  • Lena Boneva (Körber) & Oliver Linton, 2017. "A discrete choice model for large heterogeneous panels with interactive fixed effects with an application to the determinants of corporate bond issuance," CeMMAP working papers CWP02/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Handle: RePEc:ifs:cemmap:02/17
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    References listed on IDEAS

    as
    1. Stewart C. Myers & Nicholas S. Majluf, 1984. "Corporate Financing and Investment Decisions When Firms Have InformationThat Investors Do Not Have," NBER Working Papers 1396, National Bureau of Economic Research, Inc.
    2. Myers, Stewart C. & Majluf, Nicholas S., 1984. "Corporate financing and investment decisions when firms have information that investors do not have," Journal of Financial Economics, Elsevier, vol. 13(2), pages 187-221, June.
    3. Kapetanios, G. & Pesaran, M. Hashem & Yamagata, T., 2011. "Panels with non-stationary multifactor error structures," Journal of Econometrics, Elsevier, vol. 160(2), pages 326-348, February.
    4. Chen, Xiaohong & Jacho-Chávez, David T. & Linton, Oliver, 2016. "Averaging Of An Increasing Number Of Moment Condition Estimators," Econometric Theory, Cambridge University Press, vol. 32(1), pages 30-70, February.
    5. Paul Mizen & Serafeim Tsoukas, 2014. "What promotes greater use of the corporate bond market? A study of the issuance behaviour of firms in Asia," Oxford Economic Papers, Oxford University Press, vol. 66(1), pages 227-253, January.
    6. Pesaran, M. Hashem & Tosetti, Elisa, 2011. "Large panels with common factors and spatial correlation," Journal of Econometrics, Elsevier, vol. 161(2), pages 182-202, April.
    7. Mingli Chen & Iv'an Fern'andez-Val & Martin Weidner, 2014. "Nonlinear Factor Models for Network and Panel Data," Papers 1412.5647, arXiv.org, revised Oct 2019.
    8. Farrant, Katie & Inkinen, Mika & Rutkowska, Magda & Theodoridis, Konstantinos, 2013. "What can company data tell us about financing and investment decisions?," Bank of England Quarterly Bulletin, Bank of England, vol. 53(4), pages 361-370.
    9. Gomes, Armando & Phillips, Gordon, 2012. "Why do public firms issue private and public securities?," Journal of Financial Intermediation, Elsevier, vol. 21(4), pages 619-658.
    10. Sam Langfield & Marco Pagano, 2016. "Bank bias in Europe: effects on systemic risk and growth," Economic Policy, CEPR;CES;MSH, vol. 31(85), pages 51-106.
    11. Chen, Mingli, 2016. "Estimation of Nonlinear Panel Models with Multiple Unobserved Effects," The Warwick Economics Research Paper Series (TWERPS) 1120, University of Warwick, Department of Economics.
    12. Myers, Stewart C. & Majluf, Nicolás S., 1945-, 1984. "Corporate financing and investment decisions when firms have information that investors do not have," Working papers 1523-84., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    13. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    14. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2016. "Estimation of heterogeneous panels with structural breaks," Journal of Econometrics, Elsevier, vol. 191(1), pages 176-195.
    15. Tobias Adrian & Paolo Colla & Hyun Song Shin, 2012. "Which Financial Frictions? Parsing the Evidence from the Financial Crisis of 2007-9," NBER Working Papers 18335, National Bureau of Economic Research, Inc.
    16. Baba, Naohiko & Inada, Masakazu, 2009. "Why do Japanese regional banks issue subordinated debts?," Japan and the World Economy, Elsevier, vol. 21(4), pages 358-364, December.
    17. repec:hal:journl:peer-00796743 is not listed on IDEAS
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    Citations

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    Cited by:

    1. Arturas Juodis & Simon Reese, 2018. "The Incidental Parameters Problem in Testing for Remaining Cross-section Correlation," Papers 1810.03715, arXiv.org, revised Oct 2019.
    2. Abidi, Nordine & Miquel-Flores, Ixart, 2018. "Who benefits from the corporate QE? A regression discontinuity design approach," Working Paper Series 2145, European Central Bank.
    3. Markus Eberhardt & Andrea F Presbitero, 2018. "Commodity Price Movements and Banking Crises," IMF Working Papers 18/153, International Monetary Fund.
    4. Zaghini, Andrea, 2019. "The CSPP at work: Yield heterogeneity and the portfolio rebalancing channel," Journal of Corporate Finance, Elsevier, vol. 56(C), pages 282-297.
    5. Mingli Chen & Iv'an Fern'andez-Val & Martin Weidner, 2014. "Nonlinear Factor Models for Network and Panel Data," Papers 1412.5647, arXiv.org, revised Oct 2019.
    6. Óscar Arce & Ricardo Gimeno & Sergio Mayordomo, 2017. "Making room for the needy: the credit-reallocation effects of the ECB’s corporate QE," Working Papers 1743, Banco de España;Working Papers Homepage.
    7. repec:eee:eejocm:v:28:y:2018:i:c:p:108-123 is not listed on IDEAS
    8. Eberhardt, Markus, 2018. "(At Least) Four Theories for Sovereign Default," CEPR Discussion Papers 13084, C.E.P.R. Discussion Papers.
    9. repec:eee:econom:v:212:y:2019:i:2:p:607-622 is not listed on IDEAS
    10. Rodolphe Desbordes & Markus Eberhardt, 2019. "Gravity," Discussion Papers 2019-02, University of Nottingham, GEP.

    More about this item

    Keywords

    Heterogeneous panel data; discrete choice models; capital structure;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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