Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ E: Macroeconomics and Monetary Economics
/ / E3: Prices, Business Fluctuations, and Cycles
/ / / E37: Forecasting and Simulation: Models and Applications

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This JEL code is mentioned in the following RePEc Biblio entries:

1. Forecasting Economic Activity Using Financial Variables
2. Nowcasting

2019

• de Mendonça, Helder Ferreira & de Deus, Joseph David Barroso Vasconcelos, 2019, "Central bank forecasts and private expectations: An empirical assessment from three emerging economies," Economic Modelling, Elsevier, volume 83, issue C, pages 234-244, DOI: 10.1016/j.econmod.2019.02.013.
• Kuosmanen, Petri & Rahko, Jaana & Vataja, Juuso, 2019, "Predictive ability of financial variables in changing economic circumstances," The North American Journal of Economics and Finance, Elsevier, volume 47, issue C, pages 37-47, DOI: 10.1016/j.najef.2018.11.012.
• Neri, Stefano & Notarpietro, Alessandro, 2019, "Collateral constraints, the zero lower bound, and the debt–deflation mechanism," Economics Letters, Elsevier, volume 174, issue C, pages 144-148, DOI: 10.1016/j.econlet.2018.11.012.
• Zhang, Wen, 2019, "Deciphering the causes for the post-1990 slow output recoveries," Economics Letters, Elsevier, volume 176, issue C, pages 28-34, DOI: 10.1016/j.econlet.2018.12.003.
• McAlinn, Kenichiro & West, Mike, 2019, "Dynamic Bayesian predictive synthesis in time series forecasting," Journal of Econometrics, Elsevier, volume 210, issue 1, pages 155-169, DOI: 10.1016/j.jeconom.2018.11.010.
• Ma, Xiaohan & Samaniego, Roberto, 2019, "Deconstructing uncertainty," European Economic Review, Elsevier, volume 119, issue C, pages 22-41, DOI: 10.1016/j.euroecorev.2019.06.004.
• Rios, Daniel & Blanco, Gerardo & Olsina, Fernando, 2019, "Integrating Real Options Analysis with long-term electricity market models," Energy Economics, Elsevier, volume 80, issue C, pages 188-205, DOI: 10.1016/j.eneco.2018.12.023.
• Keating, John W. & Smith, A. Lee, 2019, "The optimal monetary instrument and the (mis)use of causality tests," Journal of Financial Stability, Elsevier, volume 42, issue C, pages 90-99, DOI: 10.1016/j.jfs.2019.05.011.
• Caballero, Julián & Fernández, Andrés & Park, Jongho, 2019, "On corporate borrowing, credit spreads and economic activity in emerging economies: An empirical investigation," Journal of International Economics, Elsevier, volume 118, issue C, pages 160-178, DOI: 10.1016/j.jinteco.2018.11.010.
• McAdam, Peter & Warne, Anders, 2019, "Euro area real-time density forecasting with financial or labor market frictions," International Journal of Forecasting, Elsevier, volume 35, issue 2, pages 580-600, DOI: 10.1016/j.ijforecast.2018.10.013.
• Pincheira-Brown, Pablo & Selaive, Jorge & Nolazco, Jose Luis, 2019, "Forecasting inflation in Latin America with core measures," International Journal of Forecasting, Elsevier, volume 35, issue 3, pages 1060-1071, DOI: 10.1016/j.ijforecast.2019.04.011.
• Angelini, Elena & Lalik, Magdalena & Lenza, Michele & Paredes, Joan, 2019, "Mind the gap: A multi-country BVAR benchmark for the Eurosystem projections," International Journal of Forecasting, Elsevier, volume 35, issue 4, pages 1658-1668, DOI: 10.1016/j.ijforecast.2018.12.004.
• Aastveit, Knut Are & Anundsen, André K. & Herstad, Eyo I., 2019, "Residential investment and recession predictability," International Journal of Forecasting, Elsevier, volume 35, issue 4, pages 1790-1799, DOI: 10.1016/j.ijforecast.2018.09.008.
• Fukuda, Shin-ichi & Soma, Naoto, 2019, "Inflation target and anchor of inflation forecasts in Japan," Journal of the Japanese and International Economies, Elsevier, volume 52, issue C, pages 154-170, DOI: 10.1016/j.jjie.2019.01.002.
• Chin, Kuo-Hsuan & Li, Xue, 2019, "Bayesian forecast combination in VAR-DSGE models," Journal of Macroeconomics, Elsevier, volume 59, issue C, pages 278-298, DOI: 10.1016/j.jmacro.2018.12.004.
• Cardani, Roberta & Paccagnini, Alessia & Villa, Stefania, 2019, "Forecasting with instabilities: An application to DSGE models with financial frictions," Journal of Macroeconomics, Elsevier, volume 61, issue C, pages 1-1, DOI: 10.1016/j.jmacro.2019.103133.
• Liu, Xiaochun, 2019, "On tail fatness of macroeconomic dynamics," Journal of Macroeconomics, Elsevier, volume 62, issue C, DOI: 10.1016/j.jmacro.2019.103154.
• Döpke, Jörg & Fritsche, Ulrich & Müller, Karsten, 2019, "Has macroeconomic forecasting changed after the Great Recession? Panel-based evidence on forecast accuracy and forecaster behavior from Germany," Journal of Macroeconomics, Elsevier, volume 62, issue C, DOI: 10.1016/j.jmacro.2019.103135.
• Hwang, Youngjin, 2019, "Forecasting recessions with time-varying models," Journal of Macroeconomics, Elsevier, volume 62, issue C, DOI: 10.1016/j.jmacro.2019.103153.
• Li, Yingxing & Huang, Chen & Härdle, Wolfgang K., 2019, "Spatial functional principal component analysis with applications to brain image data," Journal of Multivariate Analysis, Elsevier, volume 170, issue C, pages 263-274, DOI: 10.1016/j.jmva.2018.11.004.
• Scarcioffolo, Alexandre Ribeiro & Etienne, Xiaoli L., 2019, "How connected are the U.S. regional natural gas markets in the post-deregulation era? Evidence from time-varying connectedness analysis," Journal of Commodity Markets, Elsevier, volume 15, issue C, pages 1-1, DOI: 10.1016/j.jcomm.2018.09.004.
• Polat, Onur & Ozkan, Ibrahim, 2019, "Transmission mechanisms of financial stress into economic activity in Turkey," Journal of Policy Modeling, Elsevier, volume 41, issue 2, pages 395-415, DOI: 10.1016/j.jpolmod.2019.02.010.
• Álvarez, Luis J. & Sánchez, Isabel, 2019, "Inflation projections for monetary policy decision making," Journal of Policy Modeling, Elsevier, volume 41, issue 4, pages 568-585, DOI: 10.1016/j.jpolmod.2018.09.005.
• Pincheira Brown, Pablo & Hardy, Nicolás, 2019, "Forecasting base metal prices with the Chilean exchange rate," Resources Policy, Elsevier, volume 62, issue C, pages 256-281, DOI: 10.1016/j.resourpol.2019.02.019.
• Kuosmanen, Petri & Vataja, Juuso, 2019, "Time-varying predictive content of financial variables in forecasting GDP growth in the G-7 countries," The Quarterly Review of Economics and Finance, Elsevier, volume 71, issue C, pages 211-222, DOI: 10.1016/j.qref.2018.08.002.
• Pönkä, Harri & Zheng, Yi, 2019, "The role of oil prices on the Russian business cycle," Research in International Business and Finance, Elsevier, volume 50, issue C, pages 70-78, DOI: 10.1016/j.ribaf.2019.04.011.
• Aleksandar Vasilev, 2019, "Indeterminacy with preferences featuring multiplicative habits in consumption," EERI Research Paper Series, Economics and Econometrics Research Institute (EERI), Brussels, number EERI RP 2019/08, Oct.
• M. Ayhan Kose & Hideaki Matsuoka & Ugo Panizza & Dana Vorisek, 2019, "Inflation Expectations: Review and Evidence," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-29, Mar.
• Adrian Pagan & Tim Robinson, 2019, "Implications of Partial Information for Econometric Modeling of Macroeconomic Systems," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-41, Jun.
• Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2019, "An Automated Prior Robustness Analysis in Bayesian Model Comparison," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-45, Jun.
• Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2019, "Efficient Selection of Hyperparameters in Large Bayesian VARs Using Automatic Differentiation," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-46, Jun.
• Joshua C. C. Chan, 2019, "Asymmetric Conjugate Priors for Large Bayesian VARs," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-51, Jul.
• Joshua C. C. Chan, 2019, "Minnesota-Type Adaptive Hierarchical Priors for Large Bayesian VARs," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-61, Aug.
• Pierre L Siklos, 2019, "US Monetary Policy Since the 1950s and the Changing Content of FOMC Minutes," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-69, Sep.
• Joshua C.C. Chan, 2019, "Large Hybrid Time-Varying Parameter VARs," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-77, Oct.
• Marco Veronese Passarella, 2019, "From abstract to concrete: some tips for developing an empirical stock–flow consistent model," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, volume 16, issue 1, pages 55-93, April.
• Ramírez Cedillo, Eduardo & López-Herrera, Francisco, 2019, "El gasto público en México y su postura fiscal procíclica (1980-2016)," El Trimestre Económico, Fondo de Cultura Económica, volume 86, issue 342, pages 405-435, abril-jun, DOI: http://dx.doi.org/10.20430/ete.v86i.
• Jérôme TRINH, 2019, "Disaggregating the Chinese annual national accounts to quarterly series," Thema Working Papers, THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS, number 2019-08.
• Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2019, "How Sensitive Are VAR Forecasts to Prior Hyperparameters? An Automated Sensitivity Analysis," Advances in Econometrics, Emerald Group Publishing Limited, "Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A", DOI: 10.1108/S0731-90532019000040A010.
• Rodolfo Nicolay & Ana Jordânia de Oliveira, 2019, "Inflation volatility, monetary policy signaling and clarity of the central bank communication," Journal of Economic Studies, Emerald Group Publishing Limited, volume 46, issue 2, pages 266-283, March, DOI: 10.1108/JES-10-2017-0293.
• Pierre Rostan & Alexandra Rostan, 2019, "When will European Muslim population be majority and in which country?," PSU Research Review, Emerald Group Publishing Limited, volume 3, issue 2, pages 123-144, August, DOI: 10.1108/PRR-12-2018-0034.
• Franses, Ph.H.B.F., 2019, "Professional Forecasters and January," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2019-25, Jul.
• Lamla, Michael & PJaifar, Damian & Rendell, Lea, 2019, "Inflation and Deflationary Biases in Inflation Expectations," Essex Finance Centre Working Papers, University of Essex, Essex Business School, number 24771, Jun.
• Masayuki MORIKAWA, 2019, "Uncertainty in Long-Term Macroeconomic Forecasts: Ex post Evaluation of Forecasts by Economics Researchers," Discussion papers, Research Institute of Economy, Trade and Industry (RIETI), number 19084, Oct.
• Kevin X.D. Huang, 2019, "Growth and Cycles in China's Unbalanced Development: Resource Misallocation, Debt Overhang, Economic Inequality, and the Importance of Structural Reforms," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, volume 14, issue 1, pages 53-71, March.
• Kevin X.D. Huang & Guoqiang Tian & Yuqin Wang, 2019, "Tackle China's Economic Complexities by Deepening Reform and Opening Up: Macroeconomic Outlook, Policy Simulations, and Reform Implementation¡ªA Summary of the Annual SUFE Macroeconomic Report (2018¨C2019)," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, volume 14, issue 1, pages 80-109, March.
• Gaglianone, Wagner Piazza & Giacomini, Raffaella & Issler, João Victor & Skreta, Vasiliki, 2019, "Incentive-driven Inattention," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE), EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), number 811, Feb.
• Jesús Fernández-Villaverde & Federico S. Mandelman & Yang Yu & Francesco Zanetti, 2019, "Search Complementarities, Aggregate Fluctuations, and Fiscal Policy," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2019-9, May, DOI: 10.29338/wp2019-09.
• Carola Binder & Wesley Janson & Randal J. Verbrugge, 2019, "Thinking Outside the Box: Do SPF Respondents Have Anchored Inflation Expectations?," Working Papers, Federal Reserve Bank of Cleveland, number 19-15, Aug, DOI: 10.26509/frbc-wp-201915.
• Jim Dolmas & Evan F. Koenig, 2019, "Two Measures of Core Inflation: A Comparison," Working Papers, Federal Reserve Bank of Dallas, number 1903, Feb, DOI: 10.24149/wp1903.
• Peter Jorgensen & Kevin J. Lansing, 2019, "Anchored Inflation Expectations and the Slope of the Phillips Curve," Working Paper Series, Federal Reserve Bank of San Francisco, number 2019-27, Nov, DOI: 10.24148/wp2019-27.
• Neil Bhutta & Jesse Bricker & Lisa J. Dettling & Jimmy Kelliher & Steven Laufer, 2019, "Stress Testing Household Debt," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2019-008, Feb, DOI: 10.17016/FEDS.2019.008.
• Francesca Loria & Christian Matthes & Donghai Zhang, 2019, "Assessing Macroeconomic Tail Risk," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2019-026, Apr, DOI: 10.17016/FEDS.2019.026.
• Michael J. Lamla & Damjan Pfajfar & Lea Rendell, 2019, "Inflation and Deflationary Biases in Inflation Expectations," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2019-042, Jun, DOI: 10.17016/FEDS.2019.042.
• Thomas R. Cook & Taeyoung Doh, 2019, "Assessing Macroeconomic Tail Risks in a Data-Rich Environment," Research Working Paper, Federal Reserve Bank of Kansas City, number RWP 19-12, Nov, DOI: 10.18651/RWP2019-12.
• Kristin J. Forbes, 2019, "How Have Shanghai, Saudi Arabia, and Supply Chains Affected U.S. Inflation Dynamics?," Review, Federal Reserve Bank of St. Louis, volume 101, issue 1, pages 27-44, DOI: doi.org/10.20955/r.101.27-43.
• Jim Dolmas & Evan F. Koenig, 2019, "Two Measures of Core Inflation: A Comparison," Review, Federal Reserve Bank of St. Louis, volume 101, issue 4, DOI: 10.20955/r.101.245-58.
• Michael Cai & Marco Del Negro & Edward P. Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2019, "Online Estimation of DSGE Models," Staff Reports, Federal Reserve Bank of New York, number 893, Aug.
• Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2019, "Multimodality in Macro-Financial Dynamics," Staff Reports, Federal Reserve Bank of New York, number 903, Nov.
• Francesca Loria & Christian Matthes & Donghai Zhang, 2019, "Assessing Macroeconomic Tail Risk," Working Paper, Federal Reserve Bank of Richmond, number 19-10, Apr.
• Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Khromov Mikhail & Tsukhlo Sergey & Kaukin Andrey & Abramov Alexander & Miller Evgenia & Lavrischeva A. & Zhemkova A., 2019, "Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 2, pages 1-26, January.
• Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Khromov Mikhail & Tsukhlo Sergey & Kaukin Andrey & Abramov Alexander & Miller Evgenia & Lavrischeva A. & Zhemkova A., 2019, "Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 2, pages 1-25, February.
• Tsukhlo Sergey, 2019, "Russian industrial sector in 2018: slowdown of exiting from stagnation of 2012–2016 (on business surveys’ findings)," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2019-969, revised 2019.
• Barinova Vera & Zemtsov Tsepan & Tsareva Yulia, 2019, "Government support of small and medium sized entrepreneurship in Russia," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2019-977, revised 2019.
• Tara M. Sinclair, 2019, "Continuities and Discontinuities in Economic Forecasting," Working Papers, The George Washington University, The Center for Economic Research, number 2019-003, Aug.
• Reslow, André, 2019, "Inefficient Use of Competitors'Forecasts?," Working Paper Series, Sveriges Riksbank (Central Bank of Sweden), number 380, Oct.
• Reslow, André, 2019, "Inefficient Use of Competitors’ Forecasts?," Working Paper Series, Uppsala University, Department of Economics, number 2019:9, Oct.
• Stefania Albanesi, 2019, "Changing Business Cycles: The Role of Women's Employment," Working Papers, Human Capital and Economic Opportunity Working Group, number 2019-021, Mar.
• Adrian Pagan & Tim Robinson, 2019, "Implications of Partial Information for Applied Macroeconomic Modelling," Melbourne Institute Working Paper Series, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne, number wp2019n12, Oct.
• Thórarinn G. Pétursson, 2019, "Long-term inflation expectations and inflation dynamics," Economics, Department of Economics, Central bank of Iceland, number wp81, Aug.
• Shahid Anjum & Naveeda Qaseem, 2019, "Big Data Algorithms And Prediction: Bingos And Risky Zones In Sharia Stock Market Index," Journal of Islamic Monetary Economics and Finance, Bank Indonesia, volume 5, issue 3, pages 475-490, November, DOI: https://doi.org/10.21098/jimf.v5i3..
• Paresh Kumar Narayan, 2019, "Understanding Indonesia’s City-Level Consumer Price Formation: Implications for Price Stability," Bulletin of Monetary Economics and Banking, Bank Indonesia, volume 22, issue 4, pages 405-422, December, DOI: https://doi.org/10.21098/bemp.v22i4.
• Alex Haberis & Riccardo M. Masolo & Kate Reinold, 2019, "Deflation Probability and the Scope for Monetary Loosening in the United Kingdom," International Journal of Central Banking, International Journal of Central Banking, volume 15, issue 1, pages 233-277, March.
• Alain Galli & Christian Hepenstrick & Rolf Scheufele, 2019, "Mixed-Frequency Models for Tracking Short-Term Economic Developments in Switzerland," International Journal of Central Banking, International Journal of Central Banking, volume 15, issue 2, pages 151-178, June.
• Valentina Aprigliano & Guerino Ardizzi & Libero Monteforte, 2019, "Using Payment System Data to Forecast Economic Activity," International Journal of Central Banking, International Journal of Central Banking, volume 15, issue 4, pages 55-80, October.
• Dean Croushore, 2019, "Revisions to PCE Inflation Measures: Implications for Monetary Policy," International Journal of Central Banking, International Journal of Central Banking, volume 15, issue 4, pages 241-265, October.
• Tiare Rivera, 2019, "Efectos de la automatización en el empleo en Chile," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, volume 34, issue 1, pages 3-49, April.
• Jesús Fernández-Villaverde & Federico Mandelman & Yang Yu & Francesco Zanetti, 2019, "Search Complementarities, Aggregate Fluctuations, and Fiscal Policy," IMES Discussion Paper Series, Institute for Monetary and Economic Studies, Bank of Japan, number 19-E-18, Nov.
• Jonathan Benchimol & Lahcen Bounader, 2019, "Optimal Monetary Policy Under Bounded Rationality," IMF Working Papers, International Monetary Fund, number 2019/166, Aug.
• Emerson, Patrick M. & Knabb, Shawn D. & Sirbu, Anca-Ioana, 2019, "Institutional Responses to Aging Populations and Economic Growth: A Panel Data Approach," IZA Discussion Papers, IZA Network @ LISER, number 12561, Aug.
• Md Rafayet Alam & Scott D. Gilbert, 2019, "Importance Of Real And Nominal Shocks In Us Macroeconomic And Exchange Rate Fluctuations," Journal of Developing Areas, Tennessee State University, College of Business, volume 53, issue 4, pages 129-138, Fall.
• Döpke Jörg & Fritsche Ulrich & Waldhof Gabi, 2019, "Theories, Techniques and the Formation of German Business Cycle Forecasts : Evidence from a survey of professional forecasters," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, volume 239, issue 2, pages 203-241, April, DOI: 10.1515/jbnst-2018-0018.
• Kai Carstensen & Markus Heinrich & Magnus Reif & Maik H. Wolters, 2019, "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model," Jena Economics Research Papers, Friedrich-Schiller-University Jena, number 2019-006, Sep.
• Florian Brugger & Jörn Kleinert, 2019, "The strong increase of Austrian government debt in the Kreisky era: Austro-Keynesianism or just stubborn forecast errors?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, volume 46, issue 2, pages 229-248, May, DOI: 10.1007/s10663-017-9396-0.
• Gabriel Caldas Montes & Caio Ferrari Ferreira, 2019, "Does monetary policy credibility mitigate the effects of uncertainty about exchange rate on uncertainties about both inflation and interest rate?," International Economics and Economic Policy, Springer, volume 16, issue 4, pages 649-678, October, DOI: 10.1007/s10368-018-0419-5.
• M. Ayhan Kose & Hideaki Matsuoka & Ugo Panizza & Dana Vorisek, 2019, "Inflation Expectations: Review and Evidence," Koç University-TUSIAD Economic Research Forum Working Papers, Koc University-TUSIAD Economic Research Forum, number 1904, Mar.
• Cem Cakmakli & Hamza Demircan & Sumru Altug, 2019, "Modeling of Economic and Financial Conditions for Nowcasting and Forecasting Recessions: A Unified Approach," Koç University-TUSIAD Economic Research Forum Working Papers, Koc University-TUSIAD Economic Research Forum, number 1907, Apr.
• Yngve Abrahamsen & Jan-Egbert Sturm & Klaus Abberger & Marc Anderes & Andreas Dibiasi & Florian Eckert & Anne Kathrin Funk & Michael Graff & Florian Hälg & Heiner Mikosch & Stefan Neuwirth & Alexander, 2019, "Schweizer Wirtschaft kämpft mit schwierigen Rahmenbedingungen," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 13, issue 1, pages 1-70, March, DOI: 10.3929/ethz-b-000334776.
• Klaus Abberger & Yngve Abrahamsen & Marc Anderes & Mirjam Baumberger & Florian Eckert & Michael Graff & Florian Hälg & Franziska Kohler & Heiner Mikosch & Nina Mühlebach & Stefan Neuwirth & Alexander , 2019, "Industrie stützt Schweizer Konjunktur," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 13, issue 2, pages 1-23, June, DOI: 10.3929/ethz-b-000347269.
• Jan-Egbert Sturm & Yngve Abrahamsen & Marc Anderes & Florian Eckert & Anne Kathrin Funk & Sebastian Garmann & Michael Graff & Florian Hälg & Phillipp Kronenberg & Heiner Mikosch & Nina Mühlebach & Ste, 2019, "Prognose 2020/2021. Abschwung der Weltwirtschaft dämpft Schweizer Konjunktur," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 13, issue 3, pages 1-80, October, DOI: 10.3929/ethz-b-000369787.
• Klaus Abberger & Yngve Abrahamsen & Marc Anderes & Justus Bamers & Florian Eckert & Anne Kathrin Funk & Sebastian Garmann & Michael Graff & Florian Hälg & Franziska Kohler & Heiner Mikosch & Nina Mühl, 2019, "Konjunkturanalyse: Prognose 2020 / 2021. Schwächephase hält an," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 13, issue 4, pages 1-27, December, DOI: 10.3929/ethz-b-000385334.
• Jaqueson Kingeski Galimberti, 2019, "An approximation of the distribution of learning estimates in macroeconomic models," KOF Working papers, KOF Swiss Economic Institute, ETH Zurich, number 19-453, Mar, DOI: 10.3929/ethz-b-000332885.
• Soroosh Soofi-Siavash & Kristina Barauskaite, 2019, "Sectoral Production and Diffusion Index Forecasts for Output in Lithuania," Bank of Lithuania Discussion Paper Series, Bank of Lithuania, number 12, May.
• Laurynas Narusevicius & Tomas Ramanauskas & Laura Gudauskaitė & Tomas Reichenbachas, 2019, "Lithuanian house price index: modelling and forecasting," Bank of Lithuania Occasional Paper Series, Bank of Lithuania, number 28, Nov.
• Garnitz, Johanna & Lehmann, Robert & Wohlrabe, Klaus, 2019, "Forecasting GDP all over the world using leading indicators based on comprehensive survey data," Munich Reprints in Economics, University of Munich, Department of Economics, number 78264.
• hematy, maryam & tavakolian, hossein, 2019, "Evaluation of Price Setting Models in Iran’s Economy (DSGE Approach)," Journal of Monetary and Banking Research (فصلنامه پژوهش‌های پولی-بانکی), Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, volume 11, issue 38, pages 698-655, March.
• Zangane, Ehsan & Zamanian, Gholamreza & Shahiki, Mohamadnabi & Cheshomi, Ali, 2019, "The Effect of Macroeconomic Variables on Credit Default Cycles in the Country's Monetary Market," Journal of Monetary and Banking Research (فصلنامه پژوهش‌های پولی-بانکی), Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, volume 12, issue 41, pages 443-484, December.
• Paweł Macias & Damian Stelmasiak, 2019, "Food inflation nowcasting with web scraped data," NBP Working Papers, Narodowy Bank Polski, number 302.
• Stefania Albanesi, 2019, "Changing Business Cycles: The Role of Women's Employment," NBER Working Papers, National Bureau of Economic Research, Inc, number 25655, Mar.
• Jesús Fernández-Villaverde & Federico Mandelman & Yang Yu & Francesco Zanetti, 2019, "Search Complementarities, Aggregate Fluctuations, and Fiscal Policy," NBER Working Papers, National Bureau of Economic Research, Inc, number 26210, Aug.
• Aniela Fagundes Carrara & Geraldo Sant’Ana de Camargo Barros, 2019, "Choques de oferta e política monetaria na economia brasileira: uma análise do impacto dos preços das commodities na inflação entre 2002 e 2014 [Supply shocks and monetary policy in the Brazilian economy: an analysis of the impact of commodity prices ," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), volume 29, issue 3, pages 757-794, September.
• Maria Chiara Cavalleri & Boris Cournède & Volker Ziemann, 2019, "Housing markets and macroeconomic risks," OECD Economics Department Working Papers, OECD Publishing, number 1555, Jun, DOI: 10.1787/737133d8-en.
• Boris Cournède & Sahra Sakha & Volker Ziemann, 2019, "Empirical links between housing markets and economic resilience," OECD Economics Department Working Papers, OECD Publishing, number 1562, Jul, DOI: 10.1787/aa029083-en.
• Jesus Fernandez-Villaverde & Francesco Zanetti & Federico Mandelman & Yang Yu, 2019, "Search Complementarities, Aggregate Fluctuations, and Fiscal Policy," Economics Series Working Papers, University of Oxford, Department of Economics, number 880, Sep.
• Paul Shea, 2019, "The Macroeconomics of Pascal’s Wager," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, volume 45, issue 4, pages 481-496, October, DOI: 10.1057/s41302-019-00143-6.
• Enrique G. Mendoza & Eugenio Rojas, 2019, "Positive and Normative Implications of Liability Dollarization for Sudden Stops Models of Macroprudential Policy," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, volume 67, issue 1, pages 174-214, March, DOI: 10.1057/s41308-018-0070-8.
• Michael Cai & Marco Del Negro & Edward Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2019, "Online Estimation of DSGE Models," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 19-014, Jul.
• Jesus Fernandez-Villaverde & Federico Mandelman & Yang Yu & Francesco Zanetti, 2019, "Search Complementarities, Aggregate Fluctuations, and Fiscal Policy," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 19-016, Sep.
• Stefania Albanesi, 2019, "Changing Business Cycles: The Role of Women's Employment," Working Paper, Department of Economics, University of Pittsburgh, number 6608, Jan.
• Ngomba Bodi, Francis Ghislain & Bikai, Landry, 2019, "Les prévisions conditionnelles sont-elles plus précises que les prévisions inconditionnelles dans les projections de croissance et d’inflation en zone CEMAC ?
  [Should conditional forecasts of inflation and real growth more accurate than unconditio," MPRA Paper, University Library of Munich, Germany, number 116432.
• Nyoni, Thabani, 2019, "Is the United States of America (USA) really being made great again? witty insights from the Box-Jenkins ARIMA approach," MPRA Paper, University Library of Munich, Germany, number 91353, Jan.
• Nyoni, Thabani, 2019, "Where is Kenya being headed to? Empirical evidence from the Box-Jenkins ARIMA approach," MPRA Paper, University Library of Munich, Germany, number 91395, Jan.
• Nyoni, Thabani, 2019, "Is Nigeria's economy progressing or backsliding? Implications from ARIMA models," MPRA Paper, University Library of Munich, Germany, number 91396, Jan.
• Nyoni, Thabani, 2019, "Time series modeling and forecasting of the consumer price index in Japan," MPRA Paper, University Library of Munich, Germany, number 92409, Feb.
• Nyoni, Thabani, 2019, "Forecasting UK consumer price index using Box-Jenkins ARIMA models," MPRA Paper, University Library of Munich, Germany, number 92410, Feb.
• Nyoni, Thabani, 2019, "Forecasting consumer price index in Norway: An application of Box-Jenkins ARIMA models," MPRA Paper, University Library of Munich, Germany, number 92411, Feb.
• Nyoni, Thabani, 2019, "Forecasting Australian CPI using ARIMA models," MPRA Paper, University Library of Munich, Germany, number 92412, Feb.
• Nyoni, Thabani, 2019, "Predicting CPI in Singapore: An application of the Box-Jenkins methodology," MPRA Paper, University Library of Munich, Germany, number 92413, Feb.
• Nyoni, Thabani, 2019, "Time series modeling and forecasting of the consumer price index in Belgium," MPRA Paper, University Library of Munich, Germany, number 92414, Feb.
• Nyoni, Thabani, 2019, "Understanding CPI dynamics in Canada," MPRA Paper, University Library of Munich, Germany, number 92415, Feb.
• Nyoni, Thabani, 2019, "Predicting CPI in France," MPRA Paper, University Library of Munich, Germany, number 92416, Feb.
• Nyoni, Thabani, 2019, "Forecasting CPI in Sweden," MPRA Paper, University Library of Munich, Germany, number 92418, Feb.
• Nyoni, Thabani, 2019, "Predicting CPI in Panama," MPRA Paper, University Library of Munich, Germany, number 92419, Feb.
• Nyoni, Thabani, 2019, "Modeling and forecasting CPI in Myanmar: An application of ARIMA models," MPRA Paper, University Library of Munich, Germany, number 92420, Feb.
• Nyoni, Thabani, 2019, "Analyzing CPI dynamics in Italy," MPRA Paper, University Library of Munich, Germany, number 92421, Feb.
• Nyoni, Thabani, 2019, "Predicting consumer price index in Saudi Arabia," MPRA Paper, University Library of Munich, Germany, number 92422, Feb.
• Nyoni, Thabani, 2019, "Modeling and forecasting CPI in Mauritius," MPRA Paper, University Library of Munich, Germany, number 92423, Feb.
• Nyoni, Thabani, 2019, "Prediction of Inflation in Algeria using ARIMA models," MPRA Paper, University Library of Munich, Germany, number 92426, Feb.
• Nyoni, Thabani, 2019, "Understanding inflation trends in Israel: A univariate approach," MPRA Paper, University Library of Munich, Germany, number 92427, Feb.
• Nyoni, Thabani, 2019, "Modeling and forecasting inflation in Lesotho using Box-Jenkins ARIMA models," MPRA Paper, University Library of Munich, Germany, number 92428, Feb.
• Nyoni, Thabani, 2019, "Modeling and forecasting inflation in Philippines using ARIMA models," MPRA Paper, University Library of Munich, Germany, number 92429, Feb.
• Nyoni, Thabani, 2019, "Predicting inflation in Senegal: An ARMA approach," MPRA Paper, University Library of Munich, Germany, number 92431, Feb.
• Nyoni, Thabani, 2019, "Predicting inflation in Sri Lanka using ARMA models," MPRA Paper, University Library of Munich, Germany, number 92432, Feb.
• Nyoni, Thabani, 2019, "Is South Africa the South Africa we all desire? Insights from the Box-Jenkins ARIMA approach," MPRA Paper, University Library of Munich, Germany, number 92441, Feb.
• Nyoni, Thabani, 2019, "ARIMA modeling and forecasting of Consumer Price Index (CPI) in Germany," MPRA Paper, University Library of Munich, Germany, number 92442, Feb.
• Nyoni, Thabani, 2019, "Forecasting inflation in Burkina Faso using ARMA models," MPRA Paper, University Library of Munich, Germany, number 92443, Feb.
• Nyoni, Thabani, 2019, "Modeling and forecasting inflation in Burundi using ARIMA models," MPRA Paper, University Library of Munich, Germany, number 92444, Feb.
• Nyoni, Thabani, 2019, "ARIMA modeling and forecasting of inflation in Egypt (1960-2017)," MPRA Paper, University Library of Munich, Germany, number 92446, Feb.
• Nyoni, Thabani, 2019, "Understanding inflation trends in Finland: A univariate approach," MPRA Paper, University Library of Munich, Germany, number 92448, Feb.
• Nyoni, Thabani, 2019, "Inflation dynamics in Jamaica: Evidence from the ARMA methodology," MPRA Paper, University Library of Munich, Germany, number 92449, Feb.
• Nyoni, Thabani, 2019, "Inflation dynamics in Niger unlocked: An ARMA approach," MPRA Paper, University Library of Munich, Germany, number 92450, Feb.
• Nyoni, Thabani, 2019, "Understanding inflation patterns in Thailand: An ARMA approach," MPRA Paper, University Library of Munich, Germany, number 92451, Feb.
• Nyoni, Thabani, 2019, "Predicting inflation in the Kingdom of Bahrain using ARIMA models," MPRA Paper, University Library of Munich, Germany, number 92452, Feb.
• Nyoni, Thabani, 2019, "Modeling and forecasting CPI in Iran: A univariate analysis," MPRA Paper, University Library of Munich, Germany, number 92454, Feb.
• Nyoni, Thabani, 2019, "Uncovering inflation dynamics in Morocco: An ARIMA approach," MPRA Paper, University Library of Munich, Germany, number 92455, Feb.
• Nyoni, Thabani, 2019, "Modeling and forecasting inflation in Tanzania using ARIMA models," MPRA Paper, University Library of Munich, Germany, number 92458, Feb.
• Nyoni, Thabani, 2019, "Understanding inflation dynamics in the United States of America (USA): A univariate approach," MPRA Paper, University Library of Munich, Germany, number 92460, Feb.
• Asafo, Shuffield Seyram, 2019, "Exchange Rate Pass-through to Prices : Bayesian VAR Evidence for Ghana," MPRA Paper, University Library of Munich, Germany, number 92967, Mar.
• Albers, Scott, 2019, "An attitude of complexity: thirteen essays on the nature and construction of reality under the challenge of Zeno's Paradox," MPRA Paper, University Library of Munich, Germany, number 93632, Apr.
• Nyoni, Thabani & Mutongi, Chipo & Nyoni, Munyaradzi & Hamadziripi, Oscar Hapanyengwi, 2019, "Understanding inflation dynamics in the Kingdom of Eswatini: a univariate approach," MPRA Paper, University Library of Munich, Germany, number 93979, May.
• Nyoni, Thabani & Mutongi, Chipo, 2019, "Modeling and forecasting inflation in The Gambia: an ARMA approach," MPRA Paper, University Library of Munich, Germany, number 93980, May.
• Nyoni, Thabani & Mutongi, Chipo, 2019, "Modeling the long-run relationship between inflation and economic growth in Zimbabwe: a bi-variate cointegration (Engle-Granger Two-Step) approach," MPRA Paper, University Library of Munich, Germany, number 93981, May.
• Nyoni, Thabani, 2019, "Demystifying inflation dynamics in Rwanda: an ARMA approach," MPRA Paper, University Library of Munich, Germany, number 93982, May.
• Nyoni, Thabani & Muchingami, Lovemore, 2019, "Modeling and forecasting Botswana's Growth Domestic Product (GDP) per capita," MPRA Paper, University Library of Munich, Germany, number 93987, May.
• DiGabriele, Jim & Ojo, Marianne, 2019, "The wage growth puzzle and the Philips Curve explained: recent developments," MPRA Paper, University Library of Munich, Germany, number 95110, Jul.
• Fokin, Nikita & Polbin, Andrey, 2019, "A Bivariate Forecasting Model For Russian GDP Under Structural Changes In Monetary Policy and Long-Term Growth," MPRA Paper, University Library of Munich, Germany, number 95306, Apr, revised Apr 2019.
• Korobilis, Dimitris, 2019, "High-dimensional macroeconomic forecasting using message passing algorithms," MPRA Paper, University Library of Munich, Germany, number 96079, Sep.
• Jackson, Emerson Abraham & Tamuke, Edmund & Jabbie, Mohamed, 2019, "Disaggregated Short-Term Inflation Forecast (STIF) for Monetary Policy Decision in Sierra Leone," MPRA Paper, University Library of Munich, Germany, number 96735, Sep, revised 26 Nov 2019.
• Nyoni, Thabani, 2019, "An ARIMA analysis of the Indian Rupee/USD exchange rate in India," MPRA Paper, University Library of Munich, Germany, number 96908, Nov.
• Pincheira, Pablo & Hardy, Nicolás, 2019, "Forecasting Aluminum Prices with Commodity Currencies," MPRA Paper, University Library of Munich, Germany, number 97005, Nov.
• Pincheira, Pablo & Hernández, Ana María, 2019, "Forecasting Unemployment Rates with International Factors," MPRA Paper, University Library of Munich, Germany, number 97855, Dec.
• Oladunni, Sunday, 2019, "External Shocks and Business Cycle Fluctuations in Oil-exporting Small Open Economies: The Case of Nigeria," MPRA Paper, University Library of Munich, Germany, number 98639, Dec.
• Mehmet Balcilar & George Ike & Rangan Gupta, 2019, "The Role of Economic Policy Uncertainty in Predicting Output Growth in Emerging Markets: A Mixed-Frequency Granger Causality Approach," Working Papers, University of Pretoria, Department of Economics, number 201975, Oct.
• Emilie Jašová & Božena Kadeřábková, 2019, "Analýza vlivu slaďování rodinného a pracovního života žen prizmatem míry nezaměstnanosti neakcelerující inflaci v české republice
  [Analysis of Effects of Reconciliation of Family and Work Life of Women Through the Prism of Non-accelerating Inflati," Politická ekonomie, Prague University of Economics and Business, volume 2019, issue 3, pages 316-332, DOI: 10.18267/j.polek.1216.
• Aleksandar Vasilev, 2019, "Are Habits in Consumption Important for the Propagation of Business Cycle Fluctuations in Bulgaria?," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, volume 11, issue 3, pages 133-151, September.
• Sacha Gelfer, 2019, "Code and data files for "Data-Rich DSGE Model Forecasts of the Great Recession and its Recovery"," Computer Codes, Review of Economic Dynamics, number 18-269, revised .
• Sacha Gelfer, 2019, "Data-Rich DSGE Model Forecasts of the Great Recession and its Recovery," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, volume 32, pages 18-41, April, DOI: 10.1016/j.red.2018.12.005.
• Jesus Fernandez-Villaverde & Federico Mandelman & Francesco Zanetti & Yang Yu, 2019, "Search Complementarities, Aggregate Fluctuations, and Fiscal Policy," 2019 Meeting Papers, Society for Economic Dynamics, number 380.
• Benno Ferrarini, 2019, "Asian Development Outlook Forecast Accuracy 2007–2016," ADB Economics Working Paper Series, Asian Development Bank, number 568, Jan.
• Asli Guler, 2019, "Interaction of Monetary and Fiscal Policies in Turkey: A Dynamic Time Series Data Analysis," Business and Economics Research Journal, Bursa Uludag University, Faculty of Economics and Administrative Sciences, volume 10, issue 5, pages 1039-1049.
• Francisco Flores-Muñoz & Alberto Javier Báez-García & Josué Gutiérrez-Barroso, 2019, "Fractional differencing in stock market price and online presence of global tourist corporations," Journal of Economics, Finance and Administrative Science, Universidad ESAN, volume 24, issue 48, pages 194-204.
• Ramiar Refaei & Morteza Sameti & Sara Ghobadi, 2019, "Identifying the Factors Affecting the Recession in Iran: Monte Carlo Simulation and Metropolis-Hastings (MH) Algorithm," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, volume 6, issue 3, pages 241-272.
• Wojciech CHAREMZA & Carlos DÍAZ & Svetlana MAKAROVA, 2019, "Conditional Term Structure of Inflation Forecast Uncertainty: The Copula Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 1, pages 5-18, March.
• Meysam KAVIANI & Parviz SAEEDI & Hosein DIDEHKHANI & Seyed Fakhreddin FAKHREHOSSEINI, 2019, "Government Expenditure, Risk and Return: A Framework for a New Keynesian Model in the Iranian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 4, pages 5-24, December.
• Julia Mortera & A. Philip Dawid, 2019, "Probability Forecasts and Prediction Markets," Departmental Working Papers of Economics - University 'Roma Tre', Department of Economics - University Roma Tre, number 0250, Nov.
• G nter Coenen & Carlos Montes-Gald n & Frank Smets, 2019, "Effects of State-Dependent Forward Guidance, Large-Scale Asset Purchases and Fiscal Stimulus in a Low-Interest-Rate Environment," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium, Ghent University, Faculty of Economics and Business Administration, number 19/983, Nov.
• Guangling Dave Liu & Thabang Molise, 2019, "The effectiveness of counter-cyclical loan-to-value regulations: generic versus sector-specific rules," ERSA Working Paper Series, Economic Research Southern Africa, number 785, Aug.
• Bo?ena Kade?ábková & Emílie Ja?ová, 2019, "The Relation between Minimum Wage and Unemployment across the Economic Cycle in Countries of the Visegrad Group," Proceedings of Economics and Finance Conferences, International Institute of Social and Economic Sciences, number 8910608, Jul.
• Bo?ena Kade?ábková & Emílie Ja?ová, 2019, "Churn on the labor market in the Czech Republic," Proceedings of Economics and Finance Conferences, International Institute of Social and Economic Sciences, number 9510783, Oct.
• Filip Ba?i?, 2019, "Can production of alcohol beverages predict recessions?," Proceedings of Economics and Finance Conferences, International Institute of Social and Economic Sciences, number 9511925, Oct.
• Emilie Jasova, 2019, "Development of demand-related inflation pressures originating from the household sector in the Czech Republic," International Journal of Business and Management, International Institute of Social and Economic Sciences, volume 7, issue 2, pages 110-126, November.
• Klára ?ermáková & Emilie Ja?ová, 2019, "Analysis of the Negative and Positive Impact of Institutional Factors on Unemployment in Visegrad Countries," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, volume 8, issue 1, pages 20-34, June.
• Bozena Kaderabkova & Emilie Jasova, 2019, "Development Of Real Unit Wage Costs On The Macro- And Mezo-Level Of The Czech Republic," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, volume 8, issue 2, pages 45-59, December.
• W. Hölzl & S. Kaniovski & Y. Kaniovski, 2019, "Exploring the dynamics of business survey data using Markov models," Computational Management Science, Springer, volume 16, issue 4, pages 621-649, October, DOI: 10.1007/s10287-019-00354-4.
• Brent Meyer & Saeed Zaman, 2019, "The usefulness of the median CPI in Bayesian VARs used for macroeconomic forecasting and policy," Empirical Economics, Springer, volume 57, issue 2, pages 603-630, August, DOI: 10.1007/s00181-018-1472-1.
• Ard Reijer & Andreas Johansson, 2019, "Nowcasting Swedish GDP with a large and unbalanced data set," Empirical Economics, Springer, volume 57, issue 4, pages 1351-1373, October, DOI: 10.1007/s00181-018-1500-1.
• Philip Hans Franses, 2019, "On inflation expectations in the NKPC model," Empirical Economics, Springer, volume 57, issue 6, pages 1853-1864, December, DOI: 10.1007/s00181-018-1417-8.
• Barend Abeln & Jan P. A. M. Jacobs & Pim Ouwehand, 2019, "CAMPLET: Seasonal Adjustment Without Revisions," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 15, issue 1, pages 73-95, April, DOI: 10.1007/s41549-018-0031-3.
• Gabe J. Bondt, 2019, "A PMI-Based Real GDP Tracker for the Euro Area," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 15, issue 2, pages 147-170, December, DOI: 10.1007/s41549-018-0032-2.