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

2021

• Aysu Celgin & Elif Akbostanci, 2021, "Constructing an Economic Activity Indicator for Turkey," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 2114.
• Mehmet Guncavdi & Murat Kors & Elif Ozcan Tok, 2021, "Price transmission along the Turkish poultry and beef supply chains," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 2130.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2021, "A Bayesian Dynamic Compositional Model for Large Density Combinations in Finance," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 21-016/III, Feb.
• Eva Janssens & Robin Lumsdaine, 2021, "Sectoral slowdowns in the UK: Evidence from transmission probabilities and economic linkages," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 21-027/III, Apr.
• Nadiia Shapovalenko, 2021, "A BVAR Model for Forecasting Ukrainian Inflation and GDP," Visnyk of the National Bank of Ukraine, National Bank of Ukraine, issue 251, pages 14-36, DOI: 10.26531/vnbu2021.251.02.
• Mubarok, Faizul & Al Arif, Mohammad Nur Rianto, 2021, "Pandemic Attack and Islamic Stocks Index: A Cross Country Analysis," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, volume 55, issue 1, pages 27-37, DOI: http://dx.doi.org/10.17576/JEM-2021.
• Hossain, Md. Jamal & Akter, Sadia & Ismail, Mohd Tahir, 2021, "Performance Analysis of GARCH Family Models in Three Time-frames," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, volume 55, issue 2, pages 15-28, DOI: http://dx.doi.org/10.17576/JEM-2021.
• Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021, "Les cycles économiques de la France : une datation de référence," Working Papers of BETA, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg, number 2021-27.
• Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021, "Dating business cycles in France: A reference chronology," Working Papers of BETA, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg, number 2021-33.
• Monica Billio & Roberto Casarin & Enrica De Cian & Malcolm Mistry & Anthony Osuntuyi, 2021, "The Impact of Climate on Economic and Financial Cycles: A Markov-switching Panel Approach," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2021:03.
• Ramadani Gani & Petrovska Magdalena & Bucevska Vesna, 2021, "Evaluation of Mixed Frequency Approaches for Tracking Near-Term Economic Developments in North Macedonia," South East European Journal of Economics and Business, Sciendo, volume 16, issue 2, pages 43-52, December, DOI: 10.2478/jeb-2021-0013.
• Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2021, "Multimodality In Macrofinancial Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, volume 62, issue 2, pages 861-886, May, DOI: 10.1111/iere.12501.
• James M. Nason & Gregor W. Smith, 2021, "Measuring the slowly evolving trend in US inflation with professional forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 36, issue 1, pages 1-17, January, DOI: 10.1002/jae.2784.
• Gregor Bäurle & Elizabeth Steiner & Gabriel Züllig, 2021, "Forecasting the production side of GDP," Journal of Forecasting, John Wiley & Sons, Ltd., volume 40, issue 3, pages 458-480, April, DOI: 10.1002/for.2725.
• Robert Rich & Joseph Tracy, 2021, "A Closer Look at the Behavior of Uncertainty and Disagreement: Micro Evidence from the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, volume 53, issue 1, pages 233-253, February, DOI: 10.1111/jmcb.12728.
• Takashi Kano, 2021, "Exchange Rates and Fundamentals: A General Equilibrium Exploration," Journal of Money, Credit and Banking, Blackwell Publishing, volume 53, issue 1, pages 95-117, February, DOI: 10.1111/jmcb.12698.
• Dana Galizia, 2021, "Saddle cycles: Solving rational expectations models featuring limit cycles (or chaos) using perturbation methods," Quantitative Economics, Econometric Society, volume 12, issue 3, pages 869-901, July, DOI: 10.3982/QE1491.
• Oinonen, Sami & Vilmi, Lauri, 2021, "Analysing euro area inflation outlook with the Phillips curve," BoF Economics Review, Bank of Finland, number 5/2021.
• Martins, Manuel Mota Freitas & Verona, Fabio, 2021, "Inflation dynamics and forecast: Frequency matters," Bank of Finland Research Discussion Papers, Bank of Finland, number 8/2021.
• Mönch, Emanuel & Stein, Tobias, 2021, "Equity premium predictability over the business cycle," Discussion Papers, Deutsche Bundesbank, number 25/2021.
• Bańbura, Marta & Leiva-León, Danilo & Menz, Jan-Oliver, 2021, "Do inflation expectations improve model-based inflation forecasts?," Discussion Papers, Deutsche Bundesbank, number 48/2021.
• Coenen, Günter & Montes-Galdón, Carlos & Schmidt, Sebastian, 2021, "Macroeconomic stabilisation and monetary policy effectiveness in a low-interest-rate environment," CFS Working Paper Series, Center for Financial Studies (CFS), number 656.
• Kilian, Lutz & Nomikos, Nikos K. & Zhou, Xiaoqing, 2021, "Container trade and the U.S. recovery," CFS Working Paper Series, Center for Financial Studies (CFS), number 659.
• Vasilev, Aleksandar, 2021, "The role of endogenous capital depreciation rate for business cycle dynamics: lessons from Bulgaria (1999-2018)," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue forthcomi.
• Barja, Gover, 2021, "Graphing and Measuring COVID-19’s First Wave Impact on the Bolivian Economy: Facing the Unknown," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, volume 19, issue 36, pages 7-42, DOI: 10.35319/lajed.202136451.
• Hauber, Philipp, 2021, "How useful is external information from professional forecasters? Conditional forecasts in large factor models," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 251469.
• Barja, Gover, 2021, "Graphing and measuring Covid's first wave impact on the Bolivian economy," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 333583.
• Milivojevic, Lazar & Tatar, Balint, 2021, "Fixed exchange rate - a friend or foe of labor cost adjustments?," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 152.
• Heinisch, Katja & Lindner, Axel, 2021, "Economic sentiment: Disentangling private information from public knowledge," IWH Discussion Papers, Halle Institute for Economic Research (IWH), number 15/2021.
• Drygalla, Andrej & Heinisch, Katja & Holtemöller, Oliver & Lindner, Axel & Zeddies, Götz, 2021, "Investitionen, Auslastungsgrad und Öffentliche Finanzen in der mittleren Frist: Implikationen des Zweiten Nachtragshaushalts 2021," Konjunktur aktuell, Halle Institute for Economic Research (IWH), volume 9, issue 4, pages 141-148.
• Luo, Jiawen & Klein, Tony & Walther, Thomas & Ji, Qiang, 2021, "Forecasting Realized Volatility of Crude Oil Futures Prices based on Machine Learning," QBS Working Paper Series, Queen's University Belfast, Queen's Business School, number 2021/04, DOI: 10.2139/ssrn.3701000.
• Radke, Lucas & Wicknig, Florian, 2021, "Experience-Based Heterogeneity in Expectations and Monetary Policy," VfS Annual Conference 2021 (Virtual Conference): Climate Economics, Verein für Socialpolitik / German Economic Association, number 242414.

2020

• Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020, "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model An application to the German business cycle," Munich Reprints in Economics, University of Munich, Department of Economics, number 84736.
• Maghyereh Aktham & Sweidan Osama & Awartani Basel, 2020, "Asymmetric Responses of Economic Growth to Daily Oil Price Changes: New Global Evidence from Mixed-data Sampling Approach," Review of Economics, De Gruyter, volume 71, issue 2, pages 81-99, August, DOI: 10.1515/roe-2019-0024.
• Dzung Bui & Lena Draeger & Bernd Hayo & Giang NghiemŸ, 2020, "Consumer Sentiment During the COVID-19 Pandemic: The Role of Others' Beliefs," MAGKS Papers on Economics, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung), number 202049.
• Marzban, Hossein & Dehghan Shabani, Zahra & Moradi, Javad & Pazhouhi, Asrar, 2020, "The Effects of Asset Securitization on Banks' Performance (Case Study: Bank Saderat Iran 2005-2015)," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, volume 15, issue 1, pages 1-24, January.
• Evžen Kočenda & Karen Poghosyan, 2020, "Nowcasting Real GDP Growth: Comparison between Old and New EU Countries," Eastern European Economics, Taylor & Francis Journals, volume 58, issue 3, pages 197-220, May, DOI: 10.1080/00128775.2020.1726185.
• Brian Micallef & Nathaniel Debono, 2020, "The rental sector and the housing block in STREAM," CBM Working Papers, Central Bank of Malta, number WP/03/2020.
• Andrzej Cieślik & Jan Teresiński, 2020, "Comparing business cycles in the Eurozone and in Poland: a Bayesian DSGE approach," Bank i Kredyt, Narodowy Bank Polski, volume 51, issue 4, pages 317-366.
• Michael D. Cai & Marco Del Negro & Edward P. Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2020, "Online Estimation of DSGE Models," NBER Working Papers, National Bureau of Economic Research, Inc, number 26826, Mar.
• Javier Bianchi & Enrique G. Mendoza, 2020, "A Fisherian Approach to Financial Crises: Lessons from the Sudden Stops Literature," NBER Working Papers, National Bureau of Economic Research, Inc, number 26915, Mar.
• Marco Del Negro & Michele Lenza & Giorgio E. Primiceri & Andrea Tambalotti, 2020, "What’s up with the Phillips Curve?," NBER Working Papers, National Bureau of Economic Research, Inc, number 27003, Apr.
• Kristin Forbes & Ida Hjortsoe & Tsvetelina Nenova, 2020, "International Evidence on Shock-Dependent Exchange Rate Pass-Through," NBER Working Papers, National Bureau of Economic Research, Inc, number 27746, Aug.
• Michele Lenza & Giorgio E. Primiceri, 2020, "How to Estimate a VAR after March 2020," NBER Working Papers, National Bureau of Economic Research, Inc, number 27771, Sep.
• Ian Dew-Becker & Stefano Giglio, 2020, "Cross-Sectional Uncertainty and the Business Cycle: Evidence from 40 Years of Options Data," NBER Working Papers, National Bureau of Economic Research, Inc, number 27864, Sep.
• Christiane Baumeister & Pierre Guérin, 2020, "A Comparison of Monthly Global Indicators for Forecasting Growth," NBER Working Papers, National Bureau of Economic Research, Inc, number 28014, Oct.
• Cyrille Lenoel & Garry Young, 2020, "Real-time turning point indicators: Review of current international practices," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers, Economic Statistics Centre of Excellence (ESCoE), number ESCoE DP-2020-05, Apr.
• Nicolas Woloszko, 2020, "Adaptive Trees: a new approach to economic forecasting," OECD Economics Department Working Papers, OECD Publishing, number 1593, Jan, DOI: 10.1787/5569a0aa-en.
• Nicolas Woloszko, 2020, "Tracking activity in real time with Google Trends," OECD Economics Department Working Papers, OECD Publishing, number 1634, Dec, DOI: 10.1787/6b9c7518-en.
• Catherine Doz & Laurent Ferrara & Pierre-Alain Pionnier, 2020, "Business cycle dynamics after the Great Recession: An extended Markov-Switching Dynamic Factor Model," OECD Statistics Working Papers, OECD Publishing, number 2020/01, Jan, DOI: 10.1787/9626dda3-en.
• Christian Gouriéroux & Alain Monfort & Jean-Paul Renne, 2020, "Identification and Estimation in Non-Fundamental Structural VARMA Models," The Review of Economic Studies, Review of Economic Studies Ltd, volume 87, issue 4, pages 1915-1953.
• Andrea Ajello & Luca Benzoni & Olena Chyruk & Stijn Van Nieuwerburgh, 2020, "Core and ‘Crust’: Consumer Prices and the Term Structure of Interest Rates," The Review of Financial Studies, Society for Financial Studies, volume 33, issue 8, pages 3719-3765.
• Kristin Forbes & Ida Hjortsoe & Tsvetelina Nenova, 2020, "International Evidence on Shock-Dependent Exchange Rate Pass-Through," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, volume 68, issue 4, pages 721-763, December, DOI: 10.1057/s41308-020-00124-2.
• Javier Bianchi & Enrique G. Mendoza, 2020, "A Fisherian Approach to Financial Crises:Lessons from the Sudden Stops Literature," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 20-027, Jun.
• Sami Oinonen & Matti Viren, 2020, "Long-run inflation expectations in the ECB survey of professional forecasters: what do the survey responses tell us?," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, volume 15, issue 4, pages 675-695, December, DOI: 10.24136/eq.2020.029.
• Manuel M. F. Martins & Fabio Verona, 2020, "Forecasting Inflation with the New Keynesian Phillips Curve: Frequency Matters," CEF.UP Working Papers, Universidade do Porto, Faculdade de Economia do Porto, number 2001, Apr.
• Brinca, Pedro & Costa-Filho, João & Loria, Francesca, 2020, "Business Cycle Accounting: what have we learned so far?," MPRA Paper, University Library of Munich, Germany, number 100180, May.
• Grilli, Luca & Santoro, Domenico, 2020, "How Boltzmann Entropy Improves Prediction with LSTM," MPRA Paper, University Library of Munich, Germany, number 100578, May.
• Degiannakis, Stavros & Filis, George, 2020, "Oil price assumptions for macroeconomic policy," MPRA Paper, University Library of Munich, Germany, number 100705, May.
• Grilli, Luca & Santoro, Domenico, 2020, "Dualism in Bitcoin Dynamics: existence of an Upper Bound in Poincaré Recurrence Theorem for Deterministic vs Stochastic Behavior," MPRA Paper, University Library of Munich, Germany, number 101057, Jun.
• Chen, Nan-Kuang & Cheng, Han-Liang, 2020, "A Study of Financial Cycles and the Macroeconomy in Taiwan," MPRA Paper, University Library of Munich, Germany, number 101296, Jun.
• Glocker, Christian & Kaniovski, Serguei, 2020, "Structural modeling and forecasting using a cluster of dynamic factor models," MPRA Paper, University Library of Munich, Germany, number 101874, Jul.
• Soh, Ann-Ni, 2020, "A Review on the Leading Indicator Approach towards Economic Forecasting," MPRA Paper, University Library of Munich, Germany, number 103854, Oct.
• Alkhareif, Ryadh M. & Barnett, William A., 2020, "Nowcasting Real GDP for Saudi Arabia," MPRA Paper, University Library of Munich, Germany, number 104278, Nov.
• Oladunni, Sunday, 2020, "Oil Price Shocks and Macroeconomic Dynamics in an Oil-Exporting Emerging Economy: A New Keynesian DSGE Approach," MPRA Paper, University Library of Munich, Germany, number 104551, Mar, revised 12 Jun 2020.
• Olkhov, Victor, 2020, "Business Cycles as Collective Risk Fluctuations," MPRA Paper, University Library of Munich, Germany, number 104598, Dec.
• Pincheira, Pablo & Hardy, Nicolas, 2020, "The Mean Squared Prediction Error Paradox: A summary," MPRA Paper, University Library of Munich, Germany, number 105020, Dec.
• Fajar, Muhammad & Prasetyo, Octavia Rizky & Nonalisa, Septiarida & Wahyudi, Wahyudi, 2020, "Forecasting unemployment rate in the time of COVID-19 pandemic using Google trends data (case of Indonesia)," MPRA Paper, University Library of Munich, Germany, number 105042, Nov, revised 30 Nov 2020.
• Pincheira, Pablo & Jarsun, Nabil, 2020, "Summary of the Paper Entitled: Forecasting Fuel Prices with the Chilean Exchange Rate," MPRA Paper, University Library of Munich, Germany, number 105056, Dec.
• Olalude, Gbenga Adelekan & Olayinka, Hammed Abiola & Ankeli, Uchechi Constance, 2020, "Modelling and forecasting inflation rate in Nigeria using ARIMA models," MPRA Paper, University Library of Munich, Germany, number 105342, revised Dec 2020.
• Raheem, Ibrahim, 2020, "Global financial cycles and exchange rate forecast: A factor analysis," MPRA Paper, University Library of Munich, Germany, number 105358.
• Tretyakov, Dmitriy & Fokin, Nikita, 2020, "Помогают Ли Высокочастотные Данные В Прогнозировании Российской Инфляции?
  [Does the high-frequency data is helpful for forecasting Russian inflation?]," MPRA Paper, University Library of Munich, Germany, number 109556, Aug.
• AsadUllah, Muhammad & Mujahid, Hira & I. Tabash, Mosab & Ayubi, Sharique & Sabri, Rabia, 2020, "Forecasting indian rupee/us dollar: arima, exponential smoothing, naïve, nardl, combination techniques," MPRA Paper, University Library of Munich, Germany, number 111150.
• Harashima, Taiji, 2020, "A Theory of the Credit-to-GDP Gap: Using Credit Gaps to Predict Financial Crises," MPRA Paper, University Library of Munich, Germany, number 111732, Feb.
• Rybacki, Jakub, 2020, "Polish GDP Forecast Errors: A Tale of Ineffectiveness," MPRA Paper, University Library of Munich, Germany, number 98952, Jan.
• Grilli, Luca & Santoro, Domenico, 2020, "Generative Adversarial Network for Market Hourly Discrimination," MPRA Paper, University Library of Munich, Germany, number 99846, Apr.
• Mohammad Enamul Hoque & Mohd Azlan Shah Zaidi, 2020, "Impacts of Global-Economic-Policy Uncertainty on Emerging Stock Market: Evidence from Linear and Non-Linear Models," Prague Economic Papers, Prague University of Economics and Business, volume 2020, issue 1, pages 53-66, DOI: 10.18267/j.pep.725.
• Agnieszka Leszczyńska-Paczesna, 2020, "Sectoral Price Stickiness and Inflation Persistence in Poland: A Two-Sector DSGE Approach," Prague Economic Papers, Prague University of Economics and Business, volume 2020, issue 2, pages 152-186, DOI: 10.18267/j.pep.735.
• Kaloyan Ganev, 2020, "Real-Time vs. Full-Sample Performance of One-Sided and Two-Sided HP Filters. An Application to 27 EU Member States’ GDP Data," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, volume 12, issue 3, pages 251-272, September.
• Camilla Mastromarco & Léopold Simar & Valentin Zelenyuk, 2020, "Predicting Recessions with a Frontier Measure of Output Gap: An Application to Italian Economy," CEPA Working Papers Series, School of Economics, University of Queensland, Australia, number WP102020, Oct.
• Alexander Mihailov, 2020, "Quantifying the Macroeconomic Effects of the COVID-19 Lockdown: Comparative Simulations of the Estimated Galí-Smets-Wouters Model," Economics Discussion Papers, Department of Economics, University of Reading, number em-dp2020-07, Apr.
• Javier Bianchi & Enrique Mendoza, 2020, "Code and data files for "A Fisherian Approach to Financial Crises: Lessons from the Sudden Stops Literature"," Computer Codes, Review of Economic Dynamics, number 20-260, revised .
• Robert Dobre & Daniel Bulin & Maria-Cristina Iorgulescu & Iulia Monica Oehler-Sincai & Olimpia State, 2020, "Artificial Intelligence Sector: The Next Technology Bubble? A Comparative Analysis with Dotcom Based on Stock Market Data," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, volume 22, issue 76, pages 24-37, June.
• González-Gómez, Andrés & Guarín-López, Alexander & Rodríguez, Diego & Vargas-Herrera, Hernando, 2020, "4GM: A New Model for the Monetary Policy Analysis in Colombia," Working papers, Red Investigadores de Economía, number 31, Feb.
• Bejarano-Salcedo, Valeria & Cárdenas-Cárdenas, Julián Alonso & Julio-Román, Juan Manuel & Caicedo-García, Edgar, 2020, "Entendiendo, Modelando y Pronosticando los efectos de "El Niño" sobre los precios de los alimentos: el caso colombiano," Working papers, Red Investigadores de Economía, number 50, Jun.
• Anttonen, Jetro & Lehmus, Markku & Vihriälä, Vesa, 2020, "Weak Economic Conditions and the Objective of the Government Programme," ETLA Brief, The Research Institute of the Finnish Economy, number 86, Mar.
• Fornaro, Paolo, 2020, "Nowcasting Industrial Production Using Uncoventional Data Sources," ETLA Working Papers, The Research Institute of the Finnish Economy, number 80, Jun.
• Ivan Stankevich, 2020, "Comparison of macroeconomic indicators nowcasting methods: Russian GDP case," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 59, pages 113-127.
• Necmettin Alpay Kocak, 2020, "Analysis of the Relationship between Household and Real Sector Expectations in Turkey (Türkiye’de Hanehalkı ve Reel Sektör Beklentileri Arasındaki İlişkinin Analizi)," Business and Economics Research Journal, Bursa Uludag University, Faculty of Economics and Administrative Sciences, volume 11, issue 4, pages 989-1000.
• Tommaso Proietti & Alessandro Giovannelli, 2020, "Nowcasting Monthly GDP with Big Data: a Model Averaging Approach," CEIS Research Paper, Tor Vergata University, CEIS, number 482, May, revised 12 May 2020.
• Alessandro Giovannelli & Tommaso Proietti & Ambra Citton & Ottavio Ricchi & Cristian Tegami & Cristina Tinti, 2020, "Nowcasting GDP and its Components in a Data-rich Environment: the Merits of the Indirect Approach," CEIS Research Paper, Tor Vergata University, CEIS, number 489, May, revised 30 May 2020.
• Andreas Psimopoulos, 2020, "Forecasting Economic Recessions Using Machine Learning:An Empirical Study in Six Countries," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, volume 18, issue 1, pages 40-99.
• Bozena Kaderabkova & Emilie Jasova & Robert Holman, 2020, "Analysis of substitution changes in the Phillips curve in V4 countries over the course of economic cycles," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, volume 9, issue 2, pages 39-54, December.
• Aleksandar Vasilev, 2020, "An RBC model with Epstein-Zin (non-expected-utility) recursive preferences: lessons from Bulgaria (1999-2018)," Bulgarian Economic Papers, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, number bep-2020-01, Jan, revised Jan 2020.
• Henry Nasses & Rodrigo De Losso, 2020, "Behavior Biases in Macroeconomic Forecasting," Working Papers, Department of Economics, University of São Paulo (FEA-USP), number 2020_23, Nov.
• Christian Glocker & Philipp Wegmueller, 2020, "Business cycle dating and forecasting with real-time Swiss GDP data," Empirical Economics, Springer, volume 58, issue 1, pages 73-105, January, DOI: 10.1007/s00181-019-01666-9.
• Byeong U. Park & Léopold Simar & Valentin Zelenyuk, 2020, "Forecasting of recessions via dynamic probit for time series: replication and extension of Kauppi and Saikkonen (2008)," Empirical Economics, Springer, volume 58, issue 1, pages 379-392, January, DOI: 10.1007/s00181-019-01708-2.
• Marcus P. A. Cobb, 2020, "Aggregate density forecasting from disaggregate components using Bayesian VARs," Empirical Economics, Springer, volume 58, issue 1, pages 287-312, January, DOI: 10.1007/s00181-019-01720-6.
• Paolo Fornaro & Henri Luomaranta, 2020, "Nowcasting Finnish real economic activity: a machine learning approach," Empirical Economics, Springer, volume 58, issue 1, pages 55-71, January, DOI: 10.1007/s00181-019-01809-y.
• João C. Claudio & Katja Heinisch & Oliver Holtemöller, 2020, "Nowcasting East German GDP growth: a MIDAS approach," Empirical Economics, Springer, volume 58, issue 1, pages 29-54, January, DOI: 10.1007/s00181-019-01810-5.
• Ines Fortin & Sebastian P. Koch & Klaus Weyerstrass, 2020, "Evaluation of economic forecasts for Austria," Empirical Economics, Springer, volume 58, issue 1, pages 107-137, January, DOI: 10.1007/s00181-019-01814-1.
• Kristian Jönsson, 2020, "Real-time US GDP gap properties using Hamilton’s regression-based filter," Empirical Economics, Springer, volume 59, issue 1, pages 307-314, July, DOI: 10.1007/s00181-019-01631-6.
• Hashmat Khan & Santosh Upadhayaya, 2020, "Does business confidence matter for investment?," Empirical Economics, Springer, volume 59, issue 4, pages 1633-1665, October, DOI: 10.1007/s00181-019-01694-5.
• Maurizio Bovi, 2020, "A time-varying expectations formation mechanism," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, volume 37, issue 1, pages 69-103, April, DOI: 10.1007/s40888-019-00171-7.
• Yongchen Zhao, 2020, "Predicting U.S. Business Cycle Turning Points Using Real-Time Diffusion Indexes Based on a Large Data Set," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 16, issue 2, pages 77-97, November, DOI: 10.1007/s41549-020-00046-y.
• Juan Camilo Anzoátegui-Zapata & Juan Camilo Galvis-Ciro, 2020, "Disagreements in Consumer Inflation Expectations: Empirical Evidence for a Latin American Economy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 16, issue 2, pages 99-122, November, DOI: 10.1007/s41549-020-00047-x.
• Kashif Zaheer Malik & Syed Zahid Ali, 2020, "Is the empirical relationship between hours and productivity effected by corporate profits?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, volume 44, issue 1, pages 99-119, January, DOI: 10.1007/s12197-019-09477-5.
• Annarita Colasante & Aurora García-Gallego & Nikolaos Georgantzis & Andrea Morone, 2020, "Voluntary contributions in a system with uncertain returns: a case of systemic risk," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 15, issue 1, pages 111-132, January, DOI: 10.1007/s11403-019-00276-z.
• Yuri Biondi & Simone Righi, 2020, "Much ado about making money: the impact of disclosure, news and rumors on the formation of security market prices over time," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 15, issue 2, pages 333-362, April, DOI: 10.1007/s11403-017-0201-8.
• Saakshi & Sohini Sahu & Siddhartha Chattopadhyay, 2020, "Epidemiology of inflation expectations and internet search: an analysis for India," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 15, issue 3, pages 649-671, July, DOI: 10.1007/s11403-019-00255-4.
• Moses Tule & Afees Salisu & Charles Chiemeke, 2020, "Improving Nigeria’s Inflation Forecast with Oil Price: The Role of Estimators," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), volume 18, issue 1, pages 191-229, March, DOI: 10.1007/s40953-019-00178-8.
• Ligia Topan & César Castro & Miguel Jerez & Andrés Barge-Gil, 2020, "Oil price pass-through into inflation in Spain at national and regional level," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, volume 11, issue 4, pages 561-583, December, DOI: 10.1007/s13209-020-00222-4.
• Marc Burri & Daniel Kaufmann, 2020, "A daily fever curve for the Swiss economy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, volume 156, issue 1, pages 1-11, December, DOI: 10.1186/s41937-020-00051-z.
• Pascal Seiler, 2020, "Weighting bias and inflation in the time of COVID-19: evidence from Swiss transaction data," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, volume 156, issue 1, pages 1-11, December, DOI: 10.1186/s41937-020-00057-7.
• Reinald Koch & Dominika Langenmayr, 2020, "Der steuerliche Umgang mit Verlusten: Reformoptionen für die Corona-Krise
  [The Tax Treatment of Losses: Options for Reforms During the Corona Crisis]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, volume 100, issue 5, pages 367-373, May, DOI: 10.1007/s10273-020-2657-8.
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