Research article

Spillover effects of U.S. business cycle shocks on monetary policy in Pacific Alliance Countries (PAC)

  • Published: 15 October 2025
  • JEL Codes: C32, E52, F41

  • This paper investigated the spillover effects of U.S. structural shocks on the monetary policy of Pacific Alliance (PA) countries. We began by estimating a backward-looking Taylor rule using panel data, incorporating the U.S. output gap and policy rate as external factors to assess the sensitivity of PA central banks to U.S. economic conditions. Additionally, unlike traditional approaches that treat foreign macroeconomic variables as exogenous, we recognized that they are subject to supply and demand shocks. To address this, we employed a two-stage strategy. First, we used a structural vector autoregression (SVAR) with long-run restrictions to identify these shocks. Then, we evaluated the dynamic responses of PAC policy rates using a distributed lag model. Our findings revealed the following: (i) U.S. GDP and policy rates plays a significant role in the monetary policy reaction functions of PA central banks; (ii) the nature of the shock—whether demand or supply—results in differing responses, with PA countries generally reacting more strongly to U.S. demand shocks; and (iii) the persistence of these responses varies across countries.

    Citation: Sergio J. Chión-Chacón, Kevin Antonio Álvarez García. Spillover effects of U.S. business cycle shocks on monetary policy in Pacific Alliance Countries (PAC)[J]. Quantitative Finance and Economics, 2025, 9(4): 780-809. doi: 10.3934/QFE.2025027

    Related Papers:

  • This paper investigated the spillover effects of U.S. structural shocks on the monetary policy of Pacific Alliance (PA) countries. We began by estimating a backward-looking Taylor rule using panel data, incorporating the U.S. output gap and policy rate as external factors to assess the sensitivity of PA central banks to U.S. economic conditions. Additionally, unlike traditional approaches that treat foreign macroeconomic variables as exogenous, we recognized that they are subject to supply and demand shocks. To address this, we employed a two-stage strategy. First, we used a structural vector autoregression (SVAR) with long-run restrictions to identify these shocks. Then, we evaluated the dynamic responses of PAC policy rates using a distributed lag model. Our findings revealed the following: (i) U.S. GDP and policy rates plays a significant role in the monetary policy reaction functions of PA central banks; (ii) the nature of the shock—whether demand or supply—results in differing responses, with PA countries generally reacting more strongly to U.S. demand shocks; and (iii) the persistence of these responses varies across countries.



    加载中


    [1] Ahmed S, Akinci O, Queralto A (2021) U.S. Monetary Policy Spillovers to Emerging Markets: Both Shocks and Vulnerabilities Matter. https://doi.org/10.2139/ssrn.3875652
    [2] Almansour A, Aslam A, Bluedorn J, et al. (2015) How vulnerable are emerging markets to external shocks? J Policy Model 37: 460–483. https://doi.org/10.1016/j.jpolmod.2015.03.009 doi: 10.1016/j.jpolmod.2015.03.009
    [3] Bhattarai S, Chatterjee A, Park WY (2020) Global spillover effects of US uncertainty. J Monetary Econ 114: 71–89. https://doi.org/10.1016/j.jmoneco.2019.05.008 doi: 10.1016/j.jmoneco.2019.05.008
    [4] Blanchard OJ, Quah D (1988) The Dynamic Effects of Aggregate Demand and Supply Disturbances. Am Econ Rev 79: 655–673.
    [5] Bound J, Jaeger DA, Baker RM (1995) Problems with Instrumental Variables Estimation when the Correlation between the Instruments and the Endogenous Explanatory Variable is Weak. J Am Stat Assoc 90: 443–450. https://doi.org/10.1080/01621459.1995.10476536 doi: 10.1080/01621459.1995.10476536
    [6] Bräuning F, Sheremirov V (2022) The Transmission Mechanisms of International Business Cycles: International Trade and the Foreign Effects of US Monetary Policy. IMF Econ Rev 71: 300–325. https://doi.org/10.1057/s41308-022-00179-3 doi: 10.1057/s41308-022-00179-3
    [7] Briguglio LP (2016) Exposure to external shocks and economic resilience of countries: evidence from global indicators. J Econ Stud 43: 1057–1078. https://doi.org/10.1108/jes-12-2014-0203 doi: 10.1108/jes-12-2014-0203
    [8] Bräuning F, Ivashina V (2019) U.S. monetary policy and emerging market credit cycles. J Monetary Econ 112: 57–76. https://doi.org/10.1016/j.jmoneco.2019.02.005 doi: 10.1016/j.jmoneco.2019.02.005
    [9] Calvo GA, Leiderman L, Reinhart CM (1993) Capital Inflows and Real Exchange Rate Appreciation in Latin America: The Role of External Factors. IMF Staff Pap 40: 108–151. https://doi.org/10.2307/3867379 doi: 10.2307/3867379
    [10] Calvo GA, Reinhart CM (2002) Fear of Floating. Q J Econ 117: 379–408. http://www.jstor.org/stable/2696430
    [11] Canova F (2005) The transmission of US shocks to Latin America. J Appl Econom 20: 229–251. https://doi.org/10.1002/jae.837 doi: 10.1002/jae.837
    [12] Carvalho C, Nechio F, Tristão T (2021) Taylor rule estimation by OLS. J Monetary Econ 124: 140–154. https://doi.org/10.1016/j.jmoneco.2021.10.010 doi: 10.1016/j.jmoneco.2021.10.010
    [13] Cavallo A, Ribba A (2015). Common macroeconomic shocks and business cycle fluctuations in Euro area countries. Int Rev Econ Financ 38: 377–392. https://doi.org/10.1016/j.iref.2015.03.006 doi: 10.1016/j.iref.2015.03.006
    [14] Chión-Chacón S, Álvarez K (2025) Decline of Interest Rates under Inflation Targeting and Previous Regimes: Evidence from Latin America and Developed Countries. Ekonomika 104: 6–29. https://doi.org/10.15388/ekon.2025.104.1.1 doi: 10.15388/ekon.2025.104.1.1
    [15] Dedola L, Rivolta G, Stracca L (2017) If the Fed sneezes, who catches a cold? J Int Econ 108: S23–S41. https://doi.org/10.1016/j.jinteco.2017.01.002 doi: 10.1016/j.jinteco.2017.01.002
    [16] De Lourdes Moreira Lopes M, De Lourdes Rollemberg Mollo M, Colbano FS (2012) Metas de inflação, regra de Taylor e neutralidade da moeda: uma crítica pós-keynesiana. Brazilian J Polit Econ 32: 282–304. https://doi.org/10.1590/s0101-31572012000200008 doi: 10.1590/s0101-31572012000200008
    [17] Dées S, Galesi A (2021) The Global Financial Cycle and US monetary policy in an interconnected world. J Int Money Financ 115: 102395. https://doi.org/10.1016/j.jimonfin.2021.102395 doi: 10.1016/j.jimonfin.2021.102395
    [18] Del Tedesco Lins MA (2024) Economic Policies Amid Political Instability in Latin America. In: Katsikas, D., Del Tedesco Lins, M.A., Ribeiro Hoffmann, A. (eds), Finance, Growth and Democracy: Connections and Challenges in Europe and Latin America in the Era of Permacrisis, Springer, Cham, 151–167. https://doi.org/10.1007/978-3-031-68475-3_10
    [19] Drechsel T, McLeay M, Tenreyro S (2019) Monetary Policy for Commodity Booms and Busts. Available from: https://papers.ssrn.com/sol3/papers.cfm?abstract_id = 3464575.
    [20] Feldkircher M, Huber F (2015) The international transmission of US shocks—Evidence from Bayesian global vector autoregressions. Eur Econ Rev 81: 167–188. https://doi.org/10.1016/j.euroecorev.2015.01.009 doi: 10.1016/j.euroecorev.2015.01.009
    [21] Feldkircher M, Tondl G (2020) Global Factors Driving Inflation and Monetary Policy: A Global VAR Assessment. Int Adv Econ Res 26: 225–247. https://doi.org/10.1007/s11294-020-09792-2 doi: 10.1007/s11294-020-09792-2
    [22] Fry R, Pagan A (2011) Sign restrictions in structural vector autoregressions: A critical review. J Econ Lit 49: 938–960. https://doi.org/10.1257/jel.49.4.938 doi: 10.1257/jel.49.4.938
    [23] Gai P, Tong E (2022) Information spillovers of US monetary policy. J Macroecon 72: 103401. https://doi.org/10.1016/j.jmacro.2022.103401 doi: 10.1016/j.jmacro.2022.103401
    [24] Gonçalves S, Kilian L (2004) Bootstrapping autoregressions with conditional heteroskedasticity of unknown form. J Econom 123: 89–120. https://doi.org/10.1016/j.jeconom.2003.10.030 doi: 10.1016/j.jeconom.2003.10.030
    [25] Im KS, Pesaran M, Shin Y (2003) Testing for unit roots in heterogeneous panels. J Econom 115: 53–74. https://doi.org/10.1016/s0304-4076(03)00092-7 doi: 10.1016/s0304-4076(03)00092-7
    [26] Kandil M (2009) Spillover Effects of U.S. Business Cycles on Latin America and the Caribbean. J Econ Issues 43: 971–996. https://doi.org/10.2753/jei0021-3624430408 doi: 10.2753/jei0021-3624430408
    [27] Kilian L (2009). Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market. Am Econ Rev 99: 1053–1069. https://doi.org/10.1257/aer.99.3.1053 doi: 10.1257/aer.99.3.1053
    [28] Kose MA, Lakatos C, Stocker M, et al. (2017) The Global Role of the U.S. Economy: Linkages, Policies and Spillovers.
    [29] Levin A, Lin C, Chu CJ (2002) Unit root tests in panel data: asymptotic and finite-sample properties. J Econom 108: 1–24. https://doi.org/10.1016/s0304-4076(01)00098-7 doi: 10.1016/s0304-4076(01)00098-7
    [30] Libman E (2022) Is Inflation Targeting destabilizing? Lessons from Latin America. Brazilian J Polit Econ 42: 304–326. https://doi.org/10.1590/0101-31572022-3075 doi: 10.1590/0101-31572022-3075
    [31] Maćkowiak B (2007) External shocks, U.S. monetary policy and macroeconomic fluctuations in emerging markets. J Monetary Econ 54: 2512–2520. https://doi.org/10.1016/j.jmoneco.2007.06.021 doi: 10.1016/j.jmoneco.2007.06.021
    [32] Maddala GS, Wu S (1999) A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test. Oxf Bull Econ Stat 61: 631–652. https://doi.org/10.1111/1468-0084.0610s1631 doi: 10.1111/1468-0084.0610s1631
    [33] Medina JP, Soto C (2007) The Chilean Business Cycles Through the Lens of a Stochastic General Equilibrium Model. Available from: https://www.bcentral.cl/documents/33528/133326/DTBC_457.pdf.
    [34] Miranda-Agrippino S, Rey H (2015) US Monetary Policy and the Global Financial Cycle. https://doi.org/10.3386/w21722
    [35] Montané M, Libman E, Zack G (2021) Contractionary depreciations in Latin America during the 2000s. Brazilian J Polit Econ 41: 723–744. https://doi.org/10.1590/0101-31572021-3196 doi: 10.1590/0101-31572021-3196
    [36] Pesaran MH (2007) A simple panel unit root test in the presence of cross‐section dependence. J Appl Econom 22: 265–312. https://doi.org/10.1002/jae.951 doi: 10.1002/jae.951
    [37] Rey H (2015) Dilemma not Trilemma: The Global Financial Cycle and Monetary Policy Independence. https://doi.org/10.3386/w21162
    [38] Ocampo JA, Ojeda-Joya J (2022) Supply shocks and monetary policy responses in emerging economies. Lat Am J Cent Bank 3: 100071. https://doi.org/10.1016/j.latcb.2022.100071 doi: 10.1016/j.latcb.2022.100071
    [39] Rodríguez G, Vassallo R, Castillo P (2023) Effects of external shocks on macroeconomic fluctuations in Pacific Alliance countries. Econ Model 124: 106302. https://doi.org/10.1016/j.econmod.2023.106302 doi: 10.1016/j.econmod.2023.106302
    [40] Taylor JB (1993) Discretion versus policy rules in practice. Carnegie-Rochester Conference Series on Public Policy 39: 195–214. https://doi.org/10.1016/0167-2231(93)90009-l doi: 10.1016/0167-2231(93)90009-l
    [41] Tillmann P, Kim G, Park H (2019) The spillover effects of U.S. monetary policy on emerging market economies. Int J Financ Econ 24: 1313–1332. https://doi.org/10.1002/ijfe.1720 doi: 10.1002/ijfe.1720
    [42] Trung NB (2018) The spillover effect of the US uncertainty on emerging economies: a panel VAR approach. Appl Econ Lett 26: 210–216. https://doi.org/10.1080/13504851.2018.1458183 doi: 10.1080/13504851.2018.1458183
    [43] Végh C, Morano L, Friedheim D, et al. (2017) Between a rock and a hard place: the monetary policy dilemma in Latin America and then Caribbean. LAC Semiannual Report, World Bank, Washington.
  • Reader Comments
  • © 2025 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(794) PDF downloads(84) Cited by(0)

Article outline

Figures and Tables

Figures(11)  /  Tables(10)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog