IDEAS home Printed from https://ideas.repec.org/p/apc/wpaper/128.html
   My bibliography  Save this paper

Panel Models with Two Threshold Variables: The Case of Financial Constraints

Author

Listed:
  • Arturo Lamadrid-Contreras

    (Citibanamex)

  • N.R. Ramírez-Rondán

    (Universidad del Pacífico)

Abstract

We develop threshold estimation methods for panel data models with two threshold variables and individual fixed specific effects covering short time periods. In the static panel data model, we propose least squares estimation of the threshold and regression slopes using fixed effects transformations; while in the dynamic panel data model, we propose maximum likelihood estimation of the threshold and slope parameters using first difference transformations. In both models, we propose to estimate the threshold parameters sequentially. We apply the methods to a 15-year sample of 565 U.S. firms to test whether financial constraints affect investment decisions.

Suggested Citation

  • Arturo Lamadrid-Contreras & N.R. Ramírez-Rondán, 2018. "Panel Models with Two Threshold Variables: The Case of Financial Constraints," Working Papers 128, Peruvian Economic Association.
    • Handle: RePEc:apc:wpaper:128
    as

    Download full text from publisher

    File URL: http://perueconomics.org/wp-content/uploads/2018/10/WP-128.pdf
    File Function: Application/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hsiao, Cheng & Hashem Pesaran, M. & Kamil Tahmiscioglu, A., 2002. "Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods," Journal of Econometrics, Elsevier, vol. 109(1), pages 107-150, July.
    2. Gilchrist, Simon & Himmelberg, Charles P., 1995. "Evidence on the role of cash flow for investment," Journal of Monetary Economics, Elsevier, vol. 36(3), pages 541-572, December.
    3. Hansen, Bruce E. & Seo, Byeongseon, 2002. "Testing for two-regime threshold cointegration in vector error-correction models," Journal of Econometrics, Elsevier, vol. 110(2), pages 293-318, October.
    4. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    5. González, Andrés & Teräsvirta, Timo & van Dijk, Dick & Yang, Yukai, 2005. "Panel Smooth Transition Regression Models," SSE/EFI Working Paper Series in Economics and Finance 604, Stockholm School of Economics, revised 11 Oct 2017.
    6. Terence Tai-Leung Chong, 2003. "Generic consistency of the break-point estimator under specification errors," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 167-192, June.
    7. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    8. Audretsch, David B. & Elston, Julie Ann, 2002. "Does firm size matter? Evidence on the impact of liquidity constraints on firm investment behavior in Germany," International Journal of Industrial Organization, Elsevier, vol. 20(1), pages 1-17, January.
    9. Schiantarelli, Fabio, 1996. "Financial Constraints and Investment: Methodological Issues and International Evidence," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 12(2), pages 70-89, Summer.
    10. Haiqiang Chen & Terence Chong & Jushan Bai, 2012. "Theory and Applications of TAR Model with Two Threshold Variables," Econometric Reviews, Taylor & Francis Journals, vol. 31(2), pages 142-170.
    11. Grzegorz Pawlina & Luc Renneboog, 2005. "Is Investment‐Cash Flow Sensitivity Caused by Agency Costs or Asymmetric Information? Evidence from the UK," European Financial Management, European Financial Management Association, vol. 11(4), pages 483-513, September.
    12. repec:adr:anecst:y:1991:i:20-21:p:05 is not listed on IDEAS
    13. Audretsch, David B. & Elston, Julie Ann, 2002. "Does firm size matter? Evidence on the impact of liquidity constraints on firm investment behavior in Germany," International Journal of Industrial Organization, Elsevier, vol. 20(1), pages 1-17, January.
    14. Aivazian, Varouj A. & Ge, Ying & Qiu, Jiaping, 2005. "The impact of leverage on firm investment: Canadian evidence," Journal of Corporate Finance, Elsevier, vol. 11(1-2), pages 277-291, March.
    15. Donayre, Luiggi & Panovska, Irina, 2018. "U.S. wage growth and nonlinearities: The roles of inflation and unemployment," Economic Modelling, Elsevier, vol. 68(C), pages 273-292.
    16. Richard Blundell & Richard J. Smith, 1991. "Conditions initiales et estimation efficace dans les modéles dynamiques sur données de panel : une application au comportement d'investissement des entreprises," Annals of Economics and Statistics, GENES, issue 20-21, pages 109-123.
    17. Enders, Walter & Granger, Clive W J, 1998. "Unit-Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 304-311, July.
    18. Chong, Terence Tai Leung & Yan, Isabel K., 2014. "Estimating and Testing Threshold Regression Models with Multiple Threshold Variables," MPRA Paper 54732, University Library of Munich, Germany.
    19. Xiaoqiang Hu & Fabio Schiantarelli, 1998. "Investment And Capital Market Imperfections: A Switching Regression Approach Using U.S. Firm Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 466-479, August.
    20. Kadapakkam, Palani-Rajan & Kumar, P. C. & Riddick, Leigh A., 1998. "The impact of cash flows and firm size on investment: The international evidence," Journal of Banking & Finance, Elsevier, vol. 22(3), pages 293-320, March.
    21. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
    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. N. R. Ramírez-Rondán, 2020. "Maximum likelihood estimation of dynamic panel threshold models," Econometric Reviews, Taylor & Francis Journals, vol. 39(3), pages 260-276, March.
    2. Coad, Alex, 2010. "Neoclassical vs evolutionary theories of financial constraints: Critique and prospectus," Structural Change and Economic Dynamics, Elsevier, vol. 21(3), pages 206-218, August.
    3. Manzur Quader & Karl Taylor, 2018. "Corporate efficiency, credit status and investment," The European Journal of Finance, Taylor & Francis Journals, vol. 24(6), pages 439-457, April.
    4. Gaurav Gupta & Jitendra Mahakud, 2019. "Alternative measure of financial development and investment-cash flow sensitivity: evidence from an emerging economy," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-28, December.
    5. Seo, Myung Hwan & Shin, Yongcheol, 2016. "Dynamic panels with threshold effect and endogeneity," Journal of Econometrics, Elsevier, vol. 195(2), pages 169-186.
    6. N. R. Ramírez-Rondán, 2019. "Balance sheet and currency mismatch: evidence for Peruvian firms," Empirical Economics, Springer, vol. 57(2), pages 449-473, August.
    7. Eleni Angelopoulou & Heather D. Gibson, 2007. "The Balance Sheet Channel of Monetary Policy Transmission: Evidence from the UK," Working Papers 53, Bank of Greece.
    8. Armen Hovakimian & Gayané Hovakimian, 2009. "Cash Flow Sensitivity of Investment," European Financial Management, European Financial Management Association, vol. 15(1), pages 47-65, January.
    9. Giorgio Fagiolo & Alessandra Luzzi, 2006. "Do liquidity constraints matter in explaining firm size and growth? Some evidence from the Italian manufacturing industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 15(1), pages 1-39, February.
    10. Domenico Sarno, 2007. "Financial structure and Southern Italy firms’ growth," QA - Rivista dell'Associazione Rossi-Doria, Associazione Rossi Doria, issue 2, May.
    11. Phiri, Andrew, 2019. "The Feldstein-Horioka Puzzle and the Global Financial Crisis: Evidence from South Africa using Asymmetric Cointegration Analysis," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 72(2), pages 139-170.
    12. Neha Deopa & Daniele Rinaldo, 2019. "Firm Decisions under Jump-Diffusive Dynamics," IHEID Working Papers 04-2019, Economics Section, The Graduate Institute of International Studies, revised 21 Mar 2019.
    13. Sumon Bhaumik & Pranab Kumar Das & Subal C. Kumbhakar, 2011. "Firm Investment & Credit Constraints in India, 1997 ??? 2006: A stochastic frontier approach," William Davidson Institute Working Papers Series wp1010, William Davidson Institute at the University of Michigan.
    14. Joanna Tyrowicz, 2007. "Blame No One ?Investment Decisions of the Polish Stock-Listed Companies," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 50(4), pages 391-410.
    15. Gonzalo, Jesùs & Pitarakis, Jean-Yves, 2005. "Threshold effects In multivariate error correction models," Discussion Paper Series In Economics And Econometrics 0501, Economics Division, School of Social Sciences, University of Southampton.
    16. Dirk Engel & Joel Stiebale, 2014. "Private equity, investment and financial constraints: firm-level evidence for France and the United Kingdom," Small Business Economics, Springer, vol. 43(1), pages 197-212, June.
    17. Phiri, Andrew, 2017. "The Feldstein-Horioka puzzle and the global recession period: Evidence from South Africa using asymmetric cointegration analysis," MPRA Paper 79096, University Library of Munich, Germany.
    18. Molinari, Massimo, 2013. "Joint analysis of the non-linear debt–growth nexus and cash-flow sensitivity: New evidence from Italy," Structural Change and Economic Dynamics, Elsevier, vol. 24(C), pages 34-44.
    19. Degryse, Hans & de Jong, Abe, 2006. "Investment and internal finance: Asymmetric information or managerial discretion?," International Journal of Industrial Organization, Elsevier, vol. 24(1), pages 125-147, January.
    20. Schauer, Catharina & Elsas, Ralf & Breitkopf, Nikolas, 2019. "A new measure of financial constraints applicable to private and public firms," Journal of Banking & Finance, Elsevier, vol. 101(C), pages 270-295.

    More about this item

    Keywords

    Threshold model; panel data; capital market imperfections;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:apc:wpaper:128. 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: Nelson Ramírez-Rondán (email available below). General contact details of provider: https://edirc.repec.org/data/peruvea.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.