IDEAS home Printed from https://ideas.repec.org/p/azt/cemmap/02-17.html
   My bibliography  Save this paper

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)
  • Oliver Linton

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. Identification of this effect is complicated because of unobserved, common shocks such as the global financial 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 find that for non-financial firms, 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 02/17, Institute for Fiscal Studies.
    • Handle: RePEc:azt:cemmap:02/17
    DOI: 10.1920/wp.cem.2017.0217
    as

    Download full text from publisher

    File URL: https://www.cemmap.ac.uk/wp-content/uploads/2020/08/CWP0217.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.1920/wp.cem.2017.0217?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. Fernández-Val, Iván & Weidner, Martin, 2016. "Individual and time effects in nonlinear panel models with large N, T," Journal of Econometrics, Elsevier, vol. 192(1), pages 291-312.
    2. 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.
    3. 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.
    4. Donald W. K. Andrews, 2005. "Cross-Section Regression with Common Shocks," Econometrica, Econometric Society, vol. 73(5), pages 1551-1585, September.
    5. 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.
    6. 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.
    7. Karyne B. Charbonneau, 2014. "Multiple Fixed Effects in Binary Response Panel Data Models," Staff Working Papers 14-17, Bank of Canada.
    8. Sam Langfield & Marco Pagano, 2016. "Bank bias in Europe: effects on systemic risk and growth," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 31(85), pages 51-106.
    9. Tobias Adrian & Paolo Colla & Hyun Song Shin, 2013. "Which Financial Frictions? Parsing the Evidence from the Financial Crisis of 2007 to 2009," NBER Macroeconomics Annual, University of Chicago Press, vol. 27(1), pages 159-214.
    10. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    11. Harding, Matthew & Lamarche, Carlos, 2014. "Estimating and testing a quantile regression model with interactive effects," Journal of Econometrics, Elsevier, vol. 178(P1), pages 101-113.
    12. Becker, Bo & Ivashina, Victoria, 2014. "Cyclicality of credit supply: Firm level evidence," Journal of Monetary Economics, Elsevier, vol. 62(C), pages 76-93.
    13. Myers, Stewart C., 1977. "Determinants of corporate borrowing," Journal of Financial Economics, Elsevier, vol. 5(2), pages 147-175, November.
    14. 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.
    15. Denis, David J. & Mihov, Vassil T., 2003. "The choice among bank debt, non-bank private debt, and public debt: evidence from new corporate borrowings," Journal of Financial Economics, Elsevier, vol. 70(1), pages 3-28, October.
    16. 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.
    17. 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.
    18. 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.
    19. Dominique C. Badoer & Christopher M. James, 2016. "The Determinants of Long-Term Corporate Debt Issuances," Journal of Finance, American Finance Association, vol. 71(1), pages 457-492, February.
    20. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    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. Nicola Borri & Denis Chetverikov & Yukun Liu & Aleh Tsyvinski, 2024. "One Factor to Bind the Cross-Section of Returns," Papers 2404.08129, arXiv.org.
    2. Gao, Jiti & Liu, Fei & Peng, Bin & Yan, Yayi, 2023. "Binary response models for heterogeneous panel data with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 235(2), pages 1654-1679.
    3. Liang Chen & Minyuan Zhang, 2023. "Common Correlated Effects Estimation of Nonlinear Panel Data Models," Papers 2304.13199, arXiv.org.
    4. De Vos, Ignace & Stauskas, Ovidijus, 2024. "Cross-section bootstrap for CCE regressions," Journal of Econometrics, Elsevier, vol. 240(1).
    5. Lee, Yoonseok & Sul, Donggyu, 2023. "Depth-weighted means of noisy data: An application to estimating the average effect in heterogeneous panels," Journal of Multivariate Analysis, Elsevier, vol. 196(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. 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.
    2. Ye, Xiaoqing & Xu, Juan & Wu, Xiangjun, 2018. "Estimation of an unbalanced panel data Tobit model with interactive effects," Journal of choice modelling, Elsevier, vol. 28(C), pages 108-123.
    3. Adrian Van Rixtel & Luna Romo González & Jing Yang, 2015. "The determinants of long-term debt issuance by European banks: evidence of two crises," BIS Working Papers 513, Bank for International Settlements.
    4. Alessandra Iannamorelli & Stefano Nobili & Antonio Scalia & Luana Zaccaria, 2024. "Asymmetric Information and Corporate Lending: Evidence from SME Bond Markets," Review of Finance, European Finance Association, vol. 28(1), pages 163-201.
    5. Guido M. Kuersteiner & Ingmar R. Prucha, 2020. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," Econometrica, Econometric Society, vol. 88(5), pages 2109-2146, September.
    6. Asimakopoulos, Panagiotis & Asimakopoulos, Stylianos & Li, Xinyu, 2023. "The role of environmental, social, and governance rating on corporate debt structure," Journal of Corporate Finance, Elsevier, vol. 83(C).
    7. 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.
    8. Giampaolo Arachi & Valeria Bucci & Alessandra Casarico, 2015. "Tax structure and macroeconomic performance," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(4), pages 635-662, August.
    9. Moon, Hyungsik Roger & Weidner, Martin, 2017. "Dynamic Linear Panel Regression Models With Interactive Fixed Effects," Econometric Theory, Cambridge University Press, vol. 33(1), pages 158-195, February.
    10. Su, Liangjun & Jin, Sainan & Zhang, Yonghui, 2015. "Specification test for panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 186(1), pages 222-244.
    11. Dutordoir, Marie & Pappas, Kostas & Xu, Alice Liang & Zeng, Cheng (Colin), 2023. "Covenants in convertible bonds: Boon or boilerplate?," Journal of Corporate Finance, Elsevier, vol. 80(C).
    12. Akdoğu, Evrim & Alp Paukowits, Aysun, 2022. "Supply of credit and corporate bond covenants," Journal of Corporate Finance, Elsevier, vol. 72(C).
    13. Saumitra, Bhaduri, 2012. "Why do firms issue equity? Some evidence from an emerging economy, India," MPRA Paper 38043, University Library of Munich, Germany.
    14. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.
    15. Evan Totty, 2017. "The Effect Of Minimum Wages On Employment: A Factor Model Approach," Economic Inquiry, Western Economic Association International, vol. 55(4), pages 1712-1737, October.
    16. Jia Chen Author-Name-First: Jia & Yongcheol Shin & Chaowen Zheng, 2023. "Dynamic Quantile Panel Data Models with Interactive Effects," Economics Discussion Papers em-dp2023-06, Department of Economics, University of Reading.
    17. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    18. Dawood Ashraf & Mohsin Khawaja & M. Ishaq Bhatti, 2022. "Raising capital amid economic policy uncertainty: an empirical investigation," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-32, December.
    19. Artūras Juodis, 2022. "A regularization approach to common correlated effects estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 788-810, June.
    20. Alberto Fuertes & José María Serena, 2016. "How firms borrow in international bond markets: securities regulation and market segmentation," Working Papers 1603, Banco de España.

    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:azt:cemmap:02/17. 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: Dermot Watson (email available below). General contact details of provider: https://edirc.repec.org/data/ifsssuk.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.