IDEAS home Printed from https://ideas.repec.org/p/fip/fedkrw/96762.html

Threshold Endogeneity in Threshold VARs: An Application to Monetary State Dependence

Author

Abstract

A new method refines the threshold vector autoregressive model used to study the effects of monetary policy. We contribute a new method for dealing with the problem of endogeneity of the threshold variable in threshold vector auto-regression (TVAR) models. Drawing on copula theory enables us to capture the dependence structure between the threshold variable and the vector of TVAR innovations, independently of the marginal distribution of the threshold variable. A Monte Carlo demonstrates that our method works well, and that ignoring threshold endogeneity leads to biased estimates of the threshold parameter and the variance-covariance error structure, thus invalidating dynamic analysis. As an application, we assess the effects of interest rate shocks on output and inflation: when “expected” inflation exceeds 3.6 percent, the effects of monetary policy are faster and stronger than otherwise.

Suggested Citation

  • Dimitris Christopoulos & Peter McAdam & Elias Tzavalis, 2023. "Threshold Endogeneity in Threshold VARs: An Application to Monetary State Dependence," Research Working Paper RWP 23-09, Federal Reserve Bank of Kansas City.
  • Handle: RePEc:fip:fedkrw:96762
    DOI: 10.18651/RWP2023-09
    as

    Download full text from publisher

    File URL: https://www.kansascityfed.org/Research%20Working%20Papers/documents/9700/rwp23-09christopoulosmcadamtzavalis.pdf
    File Function: Full Text
    Download Restriction: no

    File URL: https://libkey.io/10.18651/RWP2023-09?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. Silvia Miranda-Agrippino & Giovanni Ricco, 2021. "The Transmission of Monetary Policy Shocks," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(3), pages 74-107, July.
    2. Michael D. Bauer & Eric T. Swanson, 2023. "A Reassessment of Monetary Policy Surprises and High-Frequency Identification," NBER Macroeconomics Annual, University of Chicago Press, vol. 37(1), pages 87-155.
    3. Christina D. Romer & David H. Romer, 2004. "A New Measure of Monetary Shocks: Derivation and Implications," American Economic Review, American Economic Association, vol. 94(4), pages 1055-1084, September.
    4. Mark Gertler & Peter Karadi, 2015. "Monetary Policy Surprises, Credit Costs, and Economic Activity," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 44-76, January.
    5. Andrew Patton & Dimitris Politis & Halbert White, 2009. "Correction to “Automatic Block-Length Selection for the Dependent Bootstrap” by D. Politis and H. White," Econometric Reviews, Taylor & Francis Journals, vol. 28(4), pages 372-375.
    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. Rünstler, Gerhard, 2024. "The macroeconomic impact of euro area labor market reforms: evidence from a narrative panel VAR," European Economic Review, Elsevier, vol. 168(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. Arefeva, Alina & Arefyev, Nikolay, 2025. "Playing by the Taylor rules or sticking to Friedman’s policy: A new approach to monetary policy identification," Economic Modelling, Elsevier, vol. 143(C).
    2. Christoph Lauper & Giacomo Mangiante, 2021. "Monetary policy shocks and inflation inequality," Cahiers de Recherches Economiques du Département d'économie 21.02a, Université de Lausanne, Faculté des HEC, Département d’économie.
    3. Eric T. Swanson, 2024. "The Macroeconomic Effects of the Federal Reserve’s Conventional and Unconventional Monetary Policies," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(3), pages 1152-1184, September.
    4. Pablo Aguilar Perez, 2024. "Global Spillovers of US Monetary Policy: New Insights from the Remittance Channel," Working Papers hal-04706954, HAL.
    5. Hilde C. Bjornland & Jamie L. Cross & Jonas Holz, 2025. "Re-visiting the Relationship Between Oil Prices and Monetary Policy," CAMA Working Papers 2025-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    6. Murphy, Austin & AlSalman, Zeina & Souropanis, Ioannis, 2025. "An investigation into the causes of stock market return deviations from real earnings yields," International Review of Economics & Finance, Elsevier, vol. 102(C).
    7. Alisdair McKay & Christian K. Wolf, 2023. "What Can Time‐Series Regressions Tell Us About Policy Counterfactuals?," Econometrica, Econometric Society, vol. 91(5), pages 1695-1725, September.
    8. Mr. Pragyan Deb & Julia Estefania-Flores & Melih Firat & Davide Furceri & Siddharth Kothari, 2023. "Monetary Policy Transmission Heterogeneity: Cross-Country Evidence," IMF Working Papers 2023/204, International Monetary Fund.
    9. Robert Goodhead & Benedikt Kolb, 2025. "Monetary policy communication shocks and the macroeconomy," Economica, London School of Economics and Political Science, vol. 92(365), pages 173-198, January.
    10. De Santis, Roberto A. & Tornese, Tommaso, 2024. "US monetary policy is more powerful in low economic growth regimes," Working Paper Series 2919, European Central Bank.
    11. Cristiano Cantore & Filippo Ferroni & Miguel León-Ledesma, 2021. "The Missing Link: Monetary Policy and The Labor Share," Journal of the European Economic Association, European Economic Association, vol. 19(3), pages 1592-1620.
    12. Bu, Chunya & Rogers, John & Wu, Wenbin, 2021. "A unified measure of Fed monetary policy shocks," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 331-349.
    13. Lee, Seungyoon & Park, Jongwook, 2022. "Identifying monetary policy shocks using economic forecasts in Korea," Economic Modelling, Elsevier, vol. 111(C).
    14. Max Breitenlechner & Martin Geiger & Mathias Klein, 2024. "The Fiscal Channel of Monetary Policy," Working Papers 2024-07, Faculty of Economics and Statistics, Universität Innsbruck.
    15. Metiu, Norbert & Prieto, Esteban, 2025. "Time-varying stock return correlation, news shocks, and business cycles," European Economic Review, Elsevier, vol. 172(C).
    16. Bobasu, Alina & Ciccarelli, Matteo & Notarpietro, Alessandro & Ambrocio, Gene & Auer, Simone & Bonfim, Diana & Bottero, Margherita & Brázdik, František & Buss, Ginters & Byrne, David & Casalis, André , 2025. "Monetary policy transmission: a reference guide through ESCB models and empirical benchmarks," Occasional Paper Series 377, European Central Bank.
    17. Travis Adams & Andrea Ajello & Diego Silva & Francisco Vazquez-Grande, 2023. "More than Words: Twitter Chatter and Financial Market Sentiment," Papers 2305.16164, arXiv.org.
    18. Hwang, Youngjin, 2025. "Information content in yield curve dynamics: Implications for monetary policy," Journal of Macroeconomics, Elsevier, vol. 83(C).
    19. Lu, Dong & Tang, Huoqing & Zhang, Chengsi, 2023. "China's monetary policy surprises and corporate real investment," China Economic Review, Elsevier, vol. 77(C).
    20. Hansen, Stephen & McMahon, Michael & Tong, Matthew, 2019. "The long-run information effect of central bank communication," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 185-202.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    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:fip:fedkrw:96762. 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: Kira Lillard (email available below). General contact details of provider: https://edirc.repec.org/data/frbkcus.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.