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2020 | nr 47 | 46
Tytuł artykułu

International information flows, sentiments andcross-country business cycle fluctuations

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Business cycles are strongly correlated between countries. One possible explanation(beyond traditional economic linkages like trade or finance) is that consumer or businesssentiments spread over boarders and affect cyclical fluctuations in various countries. Wefirst lend empirical support to this concept by showing that sentiments travel betweencountries at a speed much higher than can be explained by traditional linkages. Thenwe construct a two-economy new Keynesian model where noisy international information can generate cyclical fluctuations (comovement of GDP, consumption, investmentand inflation) in both countries. Estimation with US and Canadian data reveals asignificant role of international noise shocks in generating common fluctuations - theyexplain between 15-30% of consumption variance in the US and Canada and raise thecorrelation between these variables by up to unity in periods of sentiment breakdowns.We also show that our estimated noise shock has a clear interpretation as a sentimentshock.
Rocznik
Numer
Strony
46
Opis fizyczny
Twórcy
  • Warsaw School of Economics, Poland
Bibliografia
  • Angeletos, George Marios, Jennifer La'O (2013) Sentiments, Econometrica, 81(2), 739-779.
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  • Beaudry, Paul, Franck Portier (2004) An exploration into Pigou's theory of cycles, Journal of Monetary Economics, 51(6), 1183-1216.
  • Beaudry, Paul, Franck Portier (2006) Stock Prices, News, and Economic Fluctuations, American Economic Review, 96(4), 1293-1307.
  • Beaudry, Paul, Martial Dupaigne, Franck Portier (2011) Modeling News-Driven International Business Cycles, Review of Economic Dynamics, 14(1), 72-91.
  • Blanchard, Olivier J., Jean-Paul L'Huillier, Guido Lorenzoni (2013) News, Noise, and Fluctuations: An Empirical Exploration, American Economic Review, 103(7), 3045-3070.
  • Brzoza-Brzezina, Michał, Jacek Kotłowski (2018) International confidence spillover sand business cycles in small open economies, NBP Working Papers 287, Narodowy Bank Polski, Economic Research Department.
  • Brzoza-Brzezina, Michał, Jacek Kotłowski (2020) The nonlinear nature of country risk and its implications for DSGE models, Macroeconomic Dynamics, forthcoming.
  • Chahrour, Ryan, Kyle Jurado (2018) News or Noise? The Missing Link, American Economic Review, 108(7), 1702-1736.
  • Christiano, Lawrence J., Terry J. Fitzgerald (2003) The Band Pass Filter, International Economic Review, 44(2), 435-465.
  • DeGrauwe, Paul, Yuemei Ji (2017) The International Synchronisation of Business Cycles: the Role of Animal Spirits, Open Economies Review, 28(3), 383-412.
  • Eusepi, Stefano, and Bruce Preston (2011) Expectations, Learning, and Business Cycle Fluctuations, American Economic Review, 101(6), 2844-2872.
  • Gong, Chi, Soyoung Kim (2018) Regional business cycle synchronization in emerging and developing countries: Regional or global integration? Trade or financial integration? Journal of International Money and Finance, 84(C), 42-57.
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  • Hurtgen, Patrick (2014) Consumer misperceptions, uncertain fundamentals, and the business cycle, Journal of Economic Dynamics and Control, 40(C), 279-292.
  • Jaimovich, Nir, Sergio Rebelo (2009) Can News about the Future Drive the Business Cycle? American Economic Review, 99(4), 1097-1118.
  • Justiniano, Alejandro, Bruce Preston (2010) Can structural small open-economy models account for the influence of foreign disturbances? Journal of International Economics, 81(1), 61-74.
  • Kamber, Gunes, Konstantinos Theodoridis, Christoph Thoenissen (2017) News-driven business cycles in small open economies, Journal of International Economics, 105(C), 77-89.
  • Keynes, J. M. (1936) The General Theory of Employment, Interest and Money, Macmillan.
  • Levchenko, Andrei A., Nitya Pandalai-Nayar (2019) TFP, News, and 'Sentiments': The International Transmission of Business Cycles, forthcoming, Journal of the European Economic Association.
  • Milani, Fabio (2017) Sentiment and the U.S. business cycle, Journal of Economic Dynamics and Control, 82(C), 289-311.
  • Olivero, Maria Pia (2010) Market power in banking, countercyclical margins and the international transmission of business cycles, Journal of International Economics, 80(2), 292-301.
  • Pigou, A.C. (1927) Industrial Fluctuations, Macmillan and Company Limited.
  • Priestley, Maurice Bertram (1981) Spectral analysis and time series, vol. 1, Academic Press, London.
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  • Schmitt-Grohe, Stephanie, Martin Uribe (2012) What's News in Business Cycles, Econometrica, 80(6), 2733-2764.
  • Skrzypczyńska, Marta (2014) Cyclical processes in the Polish economy, Central European Journal of Economic Modelling and Econometrics.
  • Skrzypczyński, Paweł (2010) Metody spektralne w analizie cyklu koniunkturalnego gospodarki polskiej, Materiały i Studia, 252, Narodowy Bank Polski.
  • Smets, Frank, Raf Wouters (2003) An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area, Journal of the European Economic Association, 1(5), 1123-1175.
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171592253

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