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

2022

• Dennis Kant & Andreas Pick & Jasper de Winter, 2022, "Nowcasting GDP using machine learning methods," Working Papers, DNB, number 754, Nov.
• Chahad, Mohammed & Hofmann-Drahonsky, Anna-Camilla & Page, Adrian & Tirpák, Marcel & Meunier, Baptiste, 2022, "What explains recent errors in the inflation projections of Eurosystem and ECB staff?," Economic Bulletin Boxes, European Central Bank, volume 3.
• Battistini, Niccolò & Grapow, Helen & Hahn, Elke & Soudan, Michel, 2022, "Wage share dynamics and second-round effects on inflation after energy price surges in the 1970s and today," Economic Bulletin Boxes, European Central Bank, volume 5.
• Coenen, Günter & Montes-Galdón, Carlos & Saint Guilhem, Arthur & Hutchinson, John & Motto, Roberto, 2022, "Rate forward guidance in an environment of large central bank balance sheets: a Eurosystem stock-taking assessment," Occasional Paper Series, European Central Bank, number 290, Mar.
• Budnik, Katarzyna & Dimitrov, Ivan & Groß, Johannes & Kusmierczyk, Piotr & Lampe, Max & Vagliano, Gianluca & Volk, Matjaz, 2022, "The economic impact of the NPLcoverage expectations in the euro area," Occasional Paper Series, European Central Bank, number 297, Jul.
• Boucherie, Louis & Budnik, Katarzyna & Panos, Jiri, 2022, "Looking at the evolution of macroprudential policy stance: A growth-at-risk experiment with a semi-structural model," Occasional Paper Series, European Central Bank, number 301, Sep.
• Bandera, Nicolò & Bodnár, Katalin & Le Roux, Julien & Szörfi, Béla, 2022, "The impact of the COVID-19 shock on euro area potential output: a sectoral approach," Working Paper Series, European Central Bank, number 2717, Sep.
• Montes-Galdón, Carlos & Paredes, Joan & Wolf, Elias, 2022, "Conditional density forecasting: a tempered importance sampling approach," Working Paper Series, European Central Bank, number 2754, Dec.
• Nairobi Nairobi & Ambya Ambya & Edwin Russel & Sipa Paujiah & D. N. Pratama & Wamiliana Wamiliana & Mustofa Usman, 2022, "Analysis of Data Inflation Energy and Gasoline Price by Vector Autoregressive Model," International Journal of Energy Economics and Policy, Econjournals, volume 12, issue 2, pages 120-126, March.
• Doan Van Dinh, 2022, "Crude Oil Price Fluctuation and Economic Growth: ARDL Model Approach," International Journal of Energy Economics and Policy, Econjournals, volume 12, issue 4, pages 240-248, July.
• Sharma, Saurabh & Behera, Harendra, 2022, "A dissection of Indian growth using a DSGE filter," Journal of Asian Economics, Elsevier, volume 80, issue C, DOI: 10.1016/j.asieco.2022.101480.
• Molnárová, Zuzana & Reiter, Michael, 2022, "Technology, demand, and productivity: What an industry model tells us about business cycles," Journal of Economic Dynamics and Control, Elsevier, volume 134, issue C, DOI: 10.1016/j.jedc.2021.104272.
• Longo, Luigi & Riccaboni, Massimo & Rungi, Armando, 2022, "A neural network ensemble approach for GDP forecasting," Journal of Economic Dynamics and Control, Elsevier, volume 134, issue C, DOI: 10.1016/j.jedc.2021.104278.
• Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022, "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, volume 139, issue C, DOI: 10.1016/j.jedc.2022.104405.
• Audzei, Volha & Slobodyan, Sergey, 2022, "Sparse restricted perceptions equilibrium," Journal of Economic Dynamics and Control, Elsevier, volume 139, issue C, DOI: 10.1016/j.jedc.2022.104415.
• Tsuchiya, Yoichi, 2022, "Evaluating the European Central Bank’s uncertainty forecasts," Economic Analysis and Policy, Elsevier, volume 73, issue C, pages 321-330, DOI: 10.1016/j.eap.2021.12.005.
• Audzei, Volha & Brůha, Jan, 2022, "A model of the Euro area, China, and the United States: Trade links and trade wars," Economic Modelling, Elsevier, volume 111, issue C, DOI: 10.1016/j.econmod.2022.105831.
• Wang, Xi & Liu, Ying & Chen, Zhongfei, 2022, "Monetary policy dysregulation with data distortion," Economic Modelling, Elsevier, volume 116, issue C, DOI: 10.1016/j.econmod.2022.106012.
• Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022, "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, volume 63, issue C, DOI: 10.1016/j.najef.2022.101834.
• Shapiro, Adam Hale & Sudhof, Moritz & Wilson, Daniel J., 2022, "Measuring news sentiment," Journal of Econometrics, Elsevier, volume 228, issue 2, pages 221-243, DOI: 10.1016/j.jeconom.2020.07.053.
• Gaglianone, Wagner Piazza & Giacomini, Raffaella & Issler, João Victor & Skreta, Vasiliki, 2022, "Incentive-driven inattention," Journal of Econometrics, Elsevier, volume 231, issue 1, pages 188-212, DOI: 10.1016/j.jeconom.2020.06.010.
• Gardner, Ben & Scotti, Chiara & Vega, Clara, 2022, "Words speak as loudly as actions: Central bank communication and the response of equity prices to macroeconomic announcements," Journal of Econometrics, Elsevier, volume 231, issue 2, pages 387-409, DOI: 10.1016/j.jeconom.2021.07.014.
• Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2022, "Nowcasting with large Bayesian vector autoregressions," Journal of Econometrics, Elsevier, volume 231, issue 2, pages 500-519, DOI: 10.1016/j.jeconom.2021.04.012.
• du Plessis, Emile, 2022, "Multinomial modeling methods: Predicting four decades of international banking crises," Economic Systems, Elsevier, volume 46, issue 2, DOI: 10.1016/j.ecosys.2022.100979.
• Togonidze, Sophio & Kočenda, Evžen, 2022, "Macroeconomic responses of emerging market economies to oil price shocks: An analysis by region and resource profile," Economic Systems, Elsevier, volume 46, issue 3, DOI: 10.1016/j.ecosys.2022.100988.
• Pagan, Adrian & Robinson, Tim, 2022, "Excess shocks can limit the economic interpretation," European Economic Review, Elsevier, volume 145, issue C, DOI: 10.1016/j.euroecorev.2022.104120.
• Pincheira-Brown, Pablo & Bentancor, Andrea & Hardy, Nicolás & Jarsun, Nabil, 2022, "Forecasting fuel prices with the Chilean exchange rate: Going beyond the commodity currency hypothesis," Energy Economics, Elsevier, volume 106, issue C, DOI: 10.1016/j.eneco.2021.105802.
• Silva, Rodolfo Rodrigues Barrionuevo & Martins, André Christóvão Pio & Soler, Edilaine Martins & Baptista, Edméa Cássia & Balbo, Antonio Roberto & Nepomuceno, Leonardo, 2022, "Two-stage stochastic energy procurement model for a large consumer in hydrothermal systems," Energy Economics, Elsevier, volume 107, issue C, DOI: 10.1016/j.eneco.2022.105841.
• Okorie, David Iheke & Lin, Boqiang, 2022, "Givers never lack: Nigerian oil & gas asymmetric network analyses," Energy Economics, Elsevier, volume 108, issue C, DOI: 10.1016/j.eneco.2022.105910.
• Xing, Li-Min & Zhang, Yue-Jun, 2022, "Forecasting crude oil prices with shrinkage methods: Can nonconvex penalty and Huber loss help?," Energy Economics, Elsevier, volume 110, issue C, DOI: 10.1016/j.eneco.2022.106014.
• Lei, Heng & Xue, Minggao & Liu, Huiling, 2022, "Probability distribution forecasting of carbon allowance prices: A hybrid model considering multiple influencing factors," Energy Economics, Elsevier, volume 113, issue C, DOI: 10.1016/j.eneco.2022.106189.
• Kutuk, Yasin & Barokas, Lina, 2022, "Multivariate CDS risk premium prediction with SOTA RNNs on MI[N]T countries," Finance Research Letters, Elsevier, volume 45, issue C, DOI: 10.1016/j.frl.2021.102198.
• Duan, Yuejiao & Goodell, John W. & Li, Haoran & Li, Xinming, 2022, "Assessing machine learning for forecasting economic risk: Evidence from an expanded Chinese financial information set," Finance Research Letters, Elsevier, volume 46, issue PA, DOI: 10.1016/j.frl.2021.102273.
• He, Yiyao, 2022, "Heterogeneous stock traders, endogenous bubbles, and economic fluctuations," Finance Research Letters, Elsevier, volume 47, issue PA, DOI: 10.1016/j.frl.2021.102607.
• Long, Huaigang & Zaremba, Adam & Zhou, Wenyu & Bouri, Elie, 2022, "Macroeconomics matter: Leading economic indicators and the cross-section of global stock returns," Journal of Financial Markets, Elsevier, volume 61, issue C, DOI: 10.1016/j.finmar.2022.100736.
• Lucidi, Francesco Simone & Semmler, Willi, 2022, "Supervisory shocks to banks' credit standards and their macroeconomic impact," Journal of Financial Stability, Elsevier, volume 58, issue C, DOI: 10.1016/j.jfs.2021.100966.
• Rojas, Eugenio & Saffie, Felipe, 2022, "Non-homothetic sudden stops," Journal of International Economics, Elsevier, volume 139, issue C, DOI: 10.1016/j.jinteco.2022.103680.
• Monge, Manuel & Poza, Carlos & Borgia, Sofía, 2022, "A proposal of a suspicion of tax fraud indicator based on Google trends to foresee Spanish tax revenues," International Economics, Elsevier, volume 169, issue C, pages 1-12, DOI: 10.1016/j.inteco.2021.11.002.
• Ferrara, Laurent & Mogliani, Matteo & Sahuc, Jean-Guillaume, 2022, "High-frequency monitoring of growth at risk," International Journal of Forecasting, Elsevier, volume 38, issue 2, pages 582-595, DOI: 10.1016/j.ijforecast.2021.06.010.
• Foroni, Claudia & Marcellino, Massimiliano & Stevanovic, Dalibor, 2022, "Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis," International Journal of Forecasting, Elsevier, volume 38, issue 2, pages 596-612, DOI: 10.1016/j.ijforecast.2020.12.005.
• Huang, Rong & Pilbeam, Keith & Pouliot, William, 2022, "Are macroeconomic forecasters optimists or pessimists? A reassessment of survey based forecasts," Journal of Economic Behavior & Organization, Elsevier, volume 197, issue C, pages 706-724, DOI: 10.1016/j.jebo.2022.03.012.
• Benchimol, Jonathan & El-Shagi, Makram & Saadon, Yossi, 2022, "Do expert experience and characteristics affect inflation forecasts?," Journal of Economic Behavior & Organization, Elsevier, volume 201, issue C, pages 205-226, DOI: 10.1016/j.jebo.2022.06.025.
• Cipullo, Davide & Reslow, André, 2022, "Electoral cycles in macroeconomic forecasts," Journal of Economic Behavior & Organization, Elsevier, volume 202, issue C, pages 307-340, DOI: 10.1016/j.jebo.2022.08.016.
• Cortes, Gustavo S. & Taylor, Bryan & Weidenmier, Marc D., 2022, "Financial factors and the propagation of the Great Depression," Journal of Financial Economics, Elsevier, volume 145, issue 2, pages 577-594, DOI: 10.1016/j.jfineco.2021.08.018.
• Catalán, Mario & Hoffmaister, Alexander W., 2022, "When banks punch back: Macrofinancial feedback loops in stress tests," Journal of International Money and Finance, Elsevier, volume 124, issue C, DOI: 10.1016/j.jimonfin.2021.102572.
• Inaba, Masaru & Nutahara, Kengo & Shirai, Daichi, 2022, "What drives fluctuations of labor wedge and business cycles? Evidence from Japan," Journal of Macroeconomics, Elsevier, volume 72, issue C, DOI: 10.1016/j.jmacro.2022.103402.
• Özmen, M. Utku & Tuğan, Mustafa, 2022, "Heterogeneity in sectoral price and quantity responses to shocks to monetary policy," Journal of Macroeconomics, Elsevier, volume 73, issue C, DOI: 10.1016/j.jmacro.2022.103439.
• Alestra, C. & Cette, G. & Chouard, V. & Lecat, R., 2022, "Growth impact of climate change and response policies: The advanced climate change long-term (ACCL) model1," Journal of Policy Modeling, Elsevier, volume 44, issue 1, pages 96-112, DOI: 10.1016/j.jpolmod.2021.10.001.
• Lin, Yu & Liao, Qidong & Lin, Zixiao & Tan, Bin & Yu, Yuanyuan, 2022, "A novel hybrid model integrating modified ensemble empirical mode decomposition and LSTM neural network for multi-step precious metal prices prediction," Resources Policy, Elsevier, volume 78, issue C, DOI: 10.1016/j.resourpol.2022.102884.
• Harding, Martín & Lindé, Jesper & Trabandt, Mathias, 2022, "Resolving the missing deflation puzzle," Journal of Monetary Economics, Elsevier, volume 126, issue C, pages 15-34, DOI: 10.1016/j.jmoneco.2021.09.003.
• Yang, Choongryul, 2022, "Rational inattention, menu costs, and multi-product firms: Micro evidence and aggregate implications," Journal of Monetary Economics, Elsevier, volume 128, issue C, pages 105-123, DOI: 10.1016/j.jmoneco.2022.04.004.
• Lyu, Yongjian & Yi, Heling & Cao, Jin & Yang, Mo, 2022, "Time-varying monetary policy shocks and the dynamics of Chinese commodity prices," Pacific-Basin Finance Journal, Elsevier, volume 75, issue C, DOI: 10.1016/j.pacfin.2022.101836.
• Hasse, Jean-Baptiste & Lajaunie, Quentin, 2022, "Does the yield curve signal recessions? New evidence from an international panel data analysis," The Quarterly Review of Economics and Finance, Elsevier, volume 84, issue C, pages 9-22, DOI: 10.1016/j.qref.2022.01.001.
• Morikawa, Masayuki, 2022, "Uncertainty in long-term macroeconomic forecasts: Ex post evaluation of forecasts by economics researchers," The Quarterly Review of Economics and Finance, Elsevier, volume 85, issue C, pages 8-15, DOI: 10.1016/j.qref.2020.10.017.
• Sun, Zhaojun & Xu, Xiaoguang & Yang, Wen, 2022, "Capital account liberalization, external shocks and economic fluctuations of China," International Review of Economics & Finance, Elsevier, volume 82, issue C, pages 220-240, DOI: 10.1016/j.iref.2022.06.015.
• Nguyen, Thanh Cong, 2022, "Economic policy uncertainty: The probability and duration of economic recessions in major European Union countries," Research in International Business and Finance, Elsevier, volume 62, issue C, DOI: 10.1016/j.ribaf.2022.101701.
• Liu Yang & Kajal Lahiri & Adrian Pagan, 2022, "Getting the ROC into Sync," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2022-01, Jan.
• Chris Murphy, 2022, "Fiscal Policy in the COVID-19 Era," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2022-27, Mar.
• Jongrim Ha & M. Ayhan Kose & Franziska Ohnsorge, 2022, "From Low to High Inflation: Implications for Emerging Market and Developing Economies," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2022-29, Apr.
• Jesus Fernandez-Villaverde & Federico Mandelman & Yang Yu & Francesco Zanetti, 2022, "Search Complementarities, Aggregate Fluctuations and Fiscal Policy," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2022-40, May.
• Viv B. Hall & Peter Thomson, 2022, "A Boosted HP Filter for Business Cycle Analysis: Evidence from New Zealand's Small Open Economy," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2022-45, Aug.
• Daniel Buncic & Adrian Pagan, 2022, "Discovering Stars: Problems in Recovering Latent Variables from Models," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2022-52, Sep.
• Justin Damien Guenette & M. Ayhan Kose & Naotaka Sugawara, 2022, "Is a Global Recession Imminent?," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2022-55, Sep.
• Jérôme Trinh, 2022, "Disaggregation of very small time series with multiple endogenous partial structural breaks," Thema Working Papers, THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS, number 2022-10.
• Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2022, "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling", DOI: 10.1108/S0731-90532021000043A003.
• Pedro Brinca & Nikolay Iskrev & Francesca Loria, 2022, "On Identification Issues in Business Cycle Accounting Models," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honour of Fabio Canova", DOI: 10.1108/S0731-90532022000044A004.
• Eleftherios Thalassinos & Nejib Hachicha & Amira Hakim, 2022, "The International Spillover Among Sectors and the Interconnectedness to the Global Inflation Cycle," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, volume 12, issue 1, pages 3-11.
• Maciej Stajniak & Bartosz Kozicki & Beata Wenerska, 2022, "The Number of Passengers Transported by Air in the World and the Impact of the COVID-19 Pandemic on Air Passenger Transport in the USA in Terms of Economic Security," European Research Studies Journal, European Research Studies Journal, volume 0, issue Special A, pages 173-183.
• Maciej Stajniak & Bartosz Kozicki & Pawel Jaskiewicz & Leszek Szczupak, 2022, "The Forecasting of Dangerous Goods Transport by Railin Poland in Terms of Environmental Security," European Research Studies Journal, European Research Studies Journal, volume 0, issue Special A, pages 359-368.
• Vojtech Misak, 2022, "Crime and weather. Evidence from the Czech Republic," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2022/09, May, revised May 2022.
• Sophio Togonidze & Evzen Kocenda, 2022, "Macroeconomic Implications of Oil-Price Shocks to Emerging Economies: A Markov Regime-Switching Approach," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2022/21, Sep, revised Sep 2022.
• Alena Pavlova, 2022, "Non-Linearity between Price Inflation and Labor Costs: The Case of Central European Countries," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2022/25, Oct, revised Oct 2022.
• Ilenia Romani & Marzio Galeotti & Alessandro Lanza, 2022, "Besides promising economic growth, will the Italian NRRP also produce fewer emissions?," Working Papers, Fondazione Eni Enrico Mattei, number 2022.08, Feb.
• Daniel Borup & Philippe Goulet Coulombe & Erik Christian Montes Schütte & David E. Rapach & Sander Schwenk-Nebbe, 2022, "The Anatomy of Out-of-Sample Forecasting Accuracy," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2022-16, Nov, DOI: 10.29338/wp2022-16.
• Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022, "Using stochastic hierarchical aggregation constraints to nowcast regional economic aggregates," Working Papers, Federal Reserve Bank of Cleveland, number 22-06, Mar, DOI: 10.26509/frbc-wp-202206.
• James Mitchell & Aubrey Poon & Dan Zhu, 2022, "Constructing Density Forecasts from Quantile Regressions: Multimodality in Macro-Financial Dynamics," Working Papers, Federal Reserve Bank of Cleveland, number 22-12R, May, revised 11 Apr 2023, DOI: 10.26509/frbc-wp-202212r.
• Randal J. Verbrugge & Saeed Zaman, 2022, "Improving Inflation Forecasts Using Robust Measures," Working Papers, Federal Reserve Bank of Cleveland, number 22-23R, Aug, revised 30 May 2023, DOI: 10.26509/frbc-wp-202223r.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022, "Specification Choices in Quantile Regression for Empirical Macroeconomics," Working Papers, Federal Reserve Bank of Cleveland, number 22-25, Aug, DOI: 10.26509/frbc-wp-202225.
• Ina Hajdini & Edward S. Knotek & John Leer & Mathieu Pedemonte & Robert W. Rich & Raphael Schoenle, 2022, "Indirect Consumer Inflation Expectations: Theory and Evidence," Working Papers, Federal Reserve Bank of Cleveland, number 22-35, Nov, DOI: 10.26509/frbc-wp-202235.
• Todd E. Clark & Gergely Ganics & Elmar Mertens, 2022, "Constructing Fan Charts from the Ragged Edge of SPF Forecasts," Working Papers, Federal Reserve Bank of Cleveland, number 22-36, Nov, DOI: 10.26509/frbc-wp-202236.
• Todd E. Clark & Gergely Ganics & Elmar Mertens, 2022, "What is the Predictive Value of SPF Point and Density Forecasts?," Working Papers, Federal Reserve Bank of Cleveland, number 22-37, Nov, DOI: 10.26509/frbc-wp-202237.
• Brian Adams & Lara Loewenstein & Hugh Montag & Randal J. Verbrugge, 2022, "Disentangling rent index differences: data, methods, and scope," Working Papers, Federal Reserve Bank of Cleveland, number 22-38R, Dec, revised 28 Sep 2023, DOI: 10.26509/frbc-wp-202238r.
• Joshua Bernstein & Alexander W. Richter & Nathaniel A. Throckmorton, 2022, "The Matching Function and Nonlinear Business Cycles," Working Papers, Federal Reserve Bank of Dallas, number 2201, Feb, DOI: 10.24149/wp2201.
• Flint Brayton & David L. Reifschneider, 2022, "LINVER: The Linear Version of FRB/US," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2022-053, Aug, DOI: 10.17016/FEDS.2022.053.
• Thiago Revil T. Ferreira, 2022, "Cross-Sectional Financial Conditions, Business Cycles and The Lending Channel," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1335, Feb, DOI: 10.17016/IFDP.2022.1335.
• Julie Bennett & Michael T. Owyang, 2022, "On the Relative Performance of Inflation Forecasts," Review, Federal Reserve Bank of St. Louis, volume 104, issue 2, pages 131-148.
• Federico Bassetti & Roberto Casarin & Marco Del Negro, 2022, "A Bayesian Approach to Inference on Probabilistic Surveys," Staff Reports, Federal Reserve Bank of New York, number 1025, Jul.
• Tsukhlo Sergey, 2022, "Russian industrial sector in 2021: (based on surveys’ findings)," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2022-1203, revised 2022.
• Barinova Vera & Zemtsov Tsepan & Tsareva Yulia, 2022, "Russian small and medium-sized businesses during coronavirus crisis," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2022-1208, revised 2022.
• Ekaterina A. Ponomareva, 2022, "Primary Housing Market: Scenarios for the Development
  [Рынок Первичного Жилья: Сценарии Развития Ситуации]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 5, pages 34-38, May.
• Ekaterina A. Ponomareva, 2022, "Рынок Первичного Жилья: Сценарии Развития Ситуации," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 5, pages 34-38, May.
• Hagher Ben Rhomdhane & Brahim Mehdi Benlallouna, 2022, "Nowcasting real GDP in Tunisia using large datasets and mixed-frequency models," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 02-2022, Mar.
• Marcela De Castro-Valderrama & Santiago Forero-Alvarado & Nicolas Moreno-Arias & Sara Naranjo-Saldarriaga, 2022, "Unravelling the Narratives Behind Macroeconomic Forecasts," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 18-2022, Aug.
• Dr Jan Roan Neethling, 2022, "Analysing the rising oil price shock driven by Russia-Ukrainian tensions - effect on inflationary pressure in South Africa," GATR Journals, Global Academy of Training and Research (GATR) Enterprise, number jber231, Dec, DOI: https://doi.org/10.35609/jber.2022..
• Jonathan Benchimol & Makram El-Shagi & Yossi Saadon, 2022, "Do expert experience and characteristics affect inflation forecasts?," Post-Print, HAL, number emse-04624966, Sep, DOI: 10.1016/j.jebo.2022.06.025.
• Caroline Jardet & Baptiste Meunier, 2022, "Nowcasting world GDP growth with high‐frequency data," Post-Print, HAL, number hal-03647097, Sep, DOI: 10.1002/for.2858.
• Valérie Mignon & Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Pierre-Alain Pionnier, 2023, "Dating business cycles in France : a reference chronology
  [Les cycles économiques de la France : une datation de référence]," Post-Print, HAL, number hal-03661598, May, DOI: 10.3917/reco.742.0005.
• Jean-Baptiste Hasse & Quentin Lajaunie, 2022, "Does the yield curve signal recessions? New evidence from an international panel data analysis," Post-Print, HAL, number hal-03740235, May, DOI: 10.1016/j.qref.2022.01.001.
• Yuting Chen & Don Bredin & Valerio Potì & Roman Matkovskyy, 2022, "COVID risk narratives: a computational linguistic approach to the econometric identification of narrative risk during a pandemic," Post-Print, HAL, number hal-04021587, Mar, DOI: 10.1007/s42521-021-00045-3.
• Valérie Mignon & Laurent Ferrara & Denis Ferrand & Eric Heyer & Claude Diebolt & Frederique Bec & Catherine Doz & Pierre-Alain Pionnier & Antonin Aviat, 2022, "Dating business cycles in France: A reference chronology," Post-Print, HAL, number hal-04435786.
• Poon, Aubrey & Zhu, Dan, 2022, "Do Recessions Occur Concurrently Across Countries? A Multinomial Logistic Approach," Working Papers, Örebro University, School of Business, number 2022:11, Sep.
• Cipullo, Davide & Reslow, André, 2022, "Electoral Cycles in Macroeconomic Forecasts," Working Paper Series, Sveriges Riksbank (Central Bank of Sweden), number 415, Aug.
• Natalya Makeeva & Ivan Stankevich, 2022, "Nowcasting of the Components of Russian GDP," HSE Economic Journal, National Research University Higher School of Economics, volume 26, issue 4, pages 598-622.
• Morita, Hiroshi, 2022, "Forecasting GDP growth using stock returns in Japan: A factor-augmented MIDAS approach," Discussion paper series, Hitotsubashi Institute for Advanced Study, Hitotsubashi University, number HIAS-E-118, Mar.
• Arif Budimanta & Telisa Falianty & Jerry Marmen & Mulya Tarmizi & Arif Amin & Firdha Anisa Najiya, 2022, "Covid-19 and G-Shaped Recovery: A New Form of Recovery Shape," Oblik i finansi, Institute of Accounting and Finance, issue 4, pages 56-79, December, DOI: 10.33146/2307-9878-2022-4(98)-56-79.
• Iman Gunadi & Aryo Sasongko & Dian Fitriarni Sari, 2022, "Analyzing Collateral Repo Haircuts in Asian Countries," Bulletin of Monetary Economics and Banking, Bank Indonesia, volume 25, issue 4, pages 495-530, January, DOI: https://doi.org/10.21098/bemp.v25i4.
• Damjan Pfajfar & Damjan Pfajfar, 2022, "The Role of Expectations in Changed Inflation Dynamics," International Journal of Central Banking, International Journal of Central Banking, volume 18, issue 1, pages 199-238, March.
• N. Kundan Kishor & Evan F. Koenig, 2022, "Finding a Role for Slack in Real-Time Inflation Forecasting," International Journal of Central Banking, International Journal of Central Banking, volume 18, issue 2, pages 245-282, June.
• Mr. Yan Carriere-Swallow & Mr. Pragyan Deb & Davide Furceri & Daniel Jimenez & Mr. Jonathan David Ostry, 2022, "Shipping Costs and Inflation," IMF Working Papers, International Monetary Fund, number 2022/061, Mar.
• Mahir Binici & Samuele Centorrino & Mr. Serhan Cevik & Gyowon Gwon, 2022, "Here Comes the Change: The Role of Global and Domestic Factors in Post-Pandemic Inflation in Europe," IMF Working Papers, International Monetary Fund, number 2022/241, Dec.
• Gulsah Senturk, 2022, "Can Google Search Data Improve the Unemployment Rate Forecasting Model? An Empirical Analysis for Turkey," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, volume 9, issue 2, pages 229-244, July, DOI: 10.26650/JEPR963438.
• Tamerlan Mashadihasanli, 2022, "Stock Market Price Forecasting Using the Arima Model: an Application to Istanbul, Turkiye," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, volume 9, issue 2, pages 439-454, July, DOI: 10.26650/JEPR1056771.
• Bappaditya Mukhopadhyay, 2022, "Economic Recovery Post Covid-19: Centralised vs Decentralised Lockdown," Journal of Developing Areas, Tennessee State University, College of Business, volume 56, issue 3, pages 115-130, July–Sept.
• Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2022, "Testing big data in a big crisis: Nowcasting under COVID-19," JRC Working Papers in Economics and Finance, Joint Research Centre, European Commission, number 2022-06, Aug.
• William A. Barnett & Unal Eryilmaz, 2022, "Monetary Policy and Determinacy: An Inquiry in Open Economy New Keynesian Framework," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202203, Jan.
• Jinan Liu & Apostolos Serletis, 2022, "World Commodity Prices and Economic Activity in Advanced and Emerging Economies," Open Economies Review, Springer, volume 33, issue 2, pages 347-374, April, DOI: 10.1007/s11079-021-09632-8.
• Maksim Isakin & Phuong V. Ngo, 2022, "Multiplicity in New Keynesian Models," Open Economies Review, Springer, volume 33, issue 3, pages 505-521, July, DOI: 10.1007/s11079-021-09643-5.
• Thomas L. Hogan, 2022, "The calculus of dissent: Bias and diversity in FOMC projections," Public Choice, Springer, volume 191, issue 1, pages 105-135, April, DOI: 10.1007/s11127-021-00952-4.
• Jongrim Ha & M. Ayhan Kose & Franziska Ohnsorge, 2022, "From Low to High Inflation: Implications for Emerging Market and Developing Economies," Koç University-TUSIAD Economic Research Forum Working Papers, Koc University-TUSIAD Economic Research Forum, number 2202, Mar.
• Justin Damien Guenette & M. Ayhan Kose & Naotaka Sugawara, 2022, "Is a Global Recession Imminent?," Koç University-TUSIAD Economic Research Forum Working Papers, Koc University-TUSIAD Economic Research Forum, number 2206, Sep.
• Klaus Abberger & Yngve Abrahamsen & Marc Anderes & Justus Bamert & Maurizio Daniele & Florian Eckert & Michael Graff & Philipp Kronenberg & Heiner Mikosch & Nina Mühlebach & Alexander Rathke & Tim Rei, 2022, "Konjunkturanalyse: Prognose 2022 / 2023. Schweizer Wirtschaft behauptet sich trotz Ukraine-Krieg," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 16, issue 1, pages 1-72, March, DOI: 10.3929/ethz-b-000538808.
• Klaus Abberger & Yngve Abrahamsen & Marc Anderes & Justus Bamert & Maurizio Daniele & Florian Eckert & Michael Graff & Philipp Kronenberg & Heiner Mikosch & Nina Mühlebach & Alexander Rathke & Tim Rei, 2022, "Konjunkturanalyse: Prognose 2022 / 2023. Robuste Konjunktur trotz internationaler Preisanstiege," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 16, issue 2, pages 1-27, June, DOI: 10.3929/ethz-b-000554301.
• Klaus Abberger & Yngve Abrahamsen & Marc Anderes & Maurizio Daniele & Michael Graff & Philipp Kronenberg & Heiner Mikosch & Nina Mühlebach & Alexander Rathke & Tim Reinicke & Samad Sarferaz & Pascal S, 2022, "Konjunkturanalyse: Prognose 2023 / 2024. Energiekriese belastet die Wirtschaft," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 16, issue 3, pages 1-69, September, DOI: 10.3929/ethz-b-000574710.
• Klaus Abberger & Yngve Abrahamsen & Marc Anderes & Maurizio Daniele & Thomas Domjahn & Michael Graff & Philipp Kronenberg & Isabel Martinez & Heiner Mikosch & Nina Mühlebach & Alexander Rathke & Tim R, 2022, "Konjunkturanalyse: Prognose 2023 / 2024. Energiekrise belastet die Schweizer Wirtschaft weiterhin," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 16, issue 4, pages 1-26, December, DOI: 10.3929/ethz-b-000587478.

2021

• George-Marios Angeletos & Zhen Huo, 2021, "Myopia and Anchoring," American Economic Review, American Economic Association, volume 111, issue 4, pages 1166-1200, April, DOI: 10.1257/aer.20191436.
• Barbara Rossi, 2021, "Forecasting in the Presence of Instabilities: How We Know Whether Models Predict Well and How to Improve Them," Journal of Economic Literature, American Economic Association, volume 59, issue 4, pages 1135-1190, December, DOI: 10.1257/jel.20201479.
• María Paula Bonel & Daniel J. Aromí, 2021, "Assessing GDP forecasts from autoregressive models: the impact of model complexity and training dataset," Asociación Argentina de Economía Política: Working Papers, Asociación Argentina de Economía Política, number 4440, Nov.
• Vesna Karadzic & Bojan Pejovic, 2021, "Inflation Forecasting in the Western Balkans and EU: A Comparison of Holt-Winters, ARIMA and NNAR Models," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 23, issue 57, pages 517-517.
• Tamta Sopromadze & Giorgi Barbakadze & Shalva Mkhatrishvili, 2021, "Dominant Currency Paradigm: Financial Dollarization View," NBG Working Papers, National Bank of Georgia, number 01/2021, Apr.
• 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, Association Française de Cliométrie (AFC), number 07-21.
• 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, Association Française de Cliométrie (AFC), number 08-21.
• Sara Rosa dos Santos & Aniela Fagundes Carrara, 2021, "The Interaction Between Food Prices And The Future Expectation Of Inflation: A Dynamic Analysis," Revista de Economia Mackenzie (REM), Mackenzie Presbyterian University, Social and Applied Sciences Center, volume 18, issue 2, pages 135-158, July-Dece, DOI: -.
• Mastromarco, Camilla & Simar, Léopold & Zelenyuk, Valentin, 2021, "Predicting recessions with a frontier measure of output gap: an application to Italian economy," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2021010, Jan, DOI: https://doi.org/10.1007/s00181-021-.
• Nurdaulet Abilov & Aizhan Bolatbayeva, 2021, "Nowcasting GDP growth in Russia with an incomplete dataset: A factor model approach," NAC Analytica Working Paper, NAC Analytica, Nazarbayev University, number 18, Dec, revised Feb 2022.
• Erlan Konebayev, 2021, "Financial frictions in a commodity exporting small open economy: the Case of Kazakhstan," NAC Analytica Working Paper, NAC Analytica, Nazarbayev University, number 21, Dec.
• Байкулаков Ш. // Baikulakov Sh. & Белгибаев З. // Belgibayev Z., 2021, "Анализ рисков потребительских кредитов с помощью алгоритмов машинного обучения // Consumer credit risk analysis via machine learning algorithms," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 2, pages 4-26.
• Тулеуов Олжас // Tuleuov Olzhas & Ержан Ислам // Yerzhan Islam & Сейдахметов Ансар // Seidakhmetov Ansar, 2021, "Система Galymzhan: online-оценка потребительской инфляции в Казахстане // Galymzhan System: Online Assessment of Consumer Inflation in Kazakhstan," Working Papers, National Bank of Kazakhstan, number #2021-2.
• Байкулаков Шалкар // Baikulakov Shalkar & Белгибаев Зангар // Belgibayev Zanggar, 2021, "Анализ рисков потребительских кредитов с помощью алгоритмов машинного обучения // Consumer credit risk analysis via machine learning algorithms," Working Papers, National Bank of Kazakhstan, number #2021-4.
• Emilie Jasova & Bozena Kaderabkova, 2021, "Ambiguous effects of minimum wage tool of labour markets regulation – key study of V4 countries," International Journal of Economic Sciences, European Research Center, volume 10, issue 2, pages 59-86, December.
• Haykaz Igityan & Hovhannes Manukyan, 2020, "Fitting Armenian Data to the Simple DSGE Model with Permanent Productivity Growth," Working Papers, Central Bank of Armenia, number 14, Jan.
• Vahagn Davtyan & Haykaz Igityan, 2021, "Structural Reforms in DSGE Model," Working Papers, Central Bank of Armenia, number 17, Feb.
• Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2021, "Can Machine Learning Catch the COVID-19 Recession?," Papers, arXiv.org, number 2103.01201, Mar.
• Sarun Kamolthip, 2021, "Macroeconomic forecasting with LSTM and mixed frequency time series data," Papers, arXiv.org, number 2109.13777, Sep.
• Joshua C. C. Chan, 2021, "Asymmetric Conjugate Priors for Large Bayesian VARs," Papers, arXiv.org, number 2111.07170, Nov.
• Jaqueson Galimberti, 2021, "Initial Beliefs Uncertainty and Information Weighting in the Estimation of Models with Adaptive Learning," Working Papers, Auckland University of Technology, Department of Economics, number 2021-01, Feb.
• Sabyasachi Kar & Amaani Bashir & Mayank Jain, 2021, "New Approaches to Forecasting Growth and Inflation: Big Data and Machine Learning," IEG Working Papers, Institute of Economic Growth, number 446, Oct.
• Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2021, "Can Machine Learning Catch the COVID-19 Recession?," Working Papers, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, number 21-01, Mar.
• Joshua Brault & Hashmat Khan & Louis Phaneuf & Jean Gardy Victor, 2021, "Did the Fed Remain at the ZLB Long Enough? Lessons from the 2008-2019 Period," Working Papers, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, number 21-09, Nov.
• Joshua Brault & Louis Phaneuf, 2021, "Higher Order Interest-Smoothing, Time-Varying Inflation Target and the Prospect of Indeterminacy," Working Papers, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, number 21-10, Nov.
• Jesús Fernández-Villaverde & Federico Mandelman & Yang Yu & Francesco Zanetti, 2021, "The "Matthew Effect" and Market Concentration: Search Complementarities and Monopsony Power," BCAM Working Papers, Birkbeck Centre for Applied Macroeconomics, number 2103, Feb.
• Rodolfo Méndez-Marcano, 2021, "Global | Modelo vectorial autorregresivo para los tests de estrés de la banca
  [Global | A vector autoregressive model for banking stress testing]," Working Papers, BBVA Bank, Economic Research Department, number 21/08, Jul.
• Youngsoo Jang & Soyoung Lee, 2021, "A Generalized Endogenous Grid Method for Default Risk Models," Staff Working Papers, Bank of Canada, number 21-11, Mar, DOI: 10.34989/swp-2021-11.
• Dany Brouillette & Guyllaume Faucher & Martin Kuncl & Austin McWhirter & Youngmin Park, 2021, "Potential output and the neutral rate in Canada: 2021 update," Staff Analytical Notes, Bank of Canada, number 2021-6, Apr, DOI: 10.34989/san-2021-6.
• Dany Brouillette & Guyllaume Faucher & Martin Kuncl & Austin McWhirter & Youngmin Park, 2021, "Production potentielle et taux neutre au Canada : mise à jour de 2021," Staff Analytical Notes, Bank of Canada, number 2021-6fr, Apr, DOI: 10.34989/san-2021-6.
• Alberto Manuel López Galván, 2021, "Macroeconomic Factors for Inflation in Argentina 2013-2019," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, volume 1, issue 76, pages 75-102, May.
• Emilio Blanco & Laura D’Amato & Fiorella Dogliolo & Lorena Garegnani, 2021, "Nowcast of Macroeconomic Aggregates in Argentina: Comparing the Predictive Capacity of Different Models," BCRA Working Paper Series, Central Bank of Argentina, Economic Research Department, number 202190, Jan.
• Corinna Ghirelli & María Gil & Samuel Hurtado & Alberto Urtasun, 2021, "Relación entre las medidas de contención de la pandemia, la movilidad y la actividad económica," Occasional Papers, Banco de España, number 2109, Mar.
• Corinna Ghirelli & María Gil & Samuel Hurtado & Alberto Urtasun, 2021, "The relationship between pandemic containment measures, mobility and economic activity," Occasional Papers, Banco de España, number 2109, Mar.
• Marta Bañbura & Danilo Leiva-León & Jan-Oliver Menz, 2021, "Do inflation expectations improve model-based inflation Forecasts?," Working Papers, Banco de España, number 2138, Oct.
• Valentina Aprigliano & Guerino Ardizzi & Alessia Cassetta & Alessandro Cavallero & Simone Emiliozzi & Alessandro Gambini & Nazzareno Renzi & Roberta Zizza, 2021, "Exploiting payments to track Italian economic activity: the experience at Banca d’Italia," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 609, Mar.
• Alberto Locarno & Alessandra Locarno, 2021, "Is inflation targeting a strategy past its sell-by date?," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1316, Feb.
• Delle Monache, Davide & De Polis, Andrea & Petrella, Ivan, 2021, "Modeling and forecasting macroeconomic downside risk," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1324, Mar.
• Ibarra-Ramírez Raúl, 2021, "The Yield Curve as a Predictor of Economic Activity in Mexico: The Role of the Term Premium," Working Papers, Banco de México, number 2021-07, Jun.
• Edgar Caicedo-García & Ramón Hernández-Ortega & Nicolás Martínez-Cortés, 2021, "Alivios de precios en la pandemia del Covid-19: ejercicio sobre el impacto en la inflación de Colombia," Borradores de Economia, Banco de la Republica de Colombia, number 1172, Sep, DOI: 10.32468/be.1172.
• Marcela De Castro-Valderrama & Santiago Forero-Alvarado & Nicolás Moreno-Arias & Sara Naranjo-Saldarriaga, 2021, "Unraveling the Exogenous Forces Behind Analysts’ Macroeconomic Forecasts," Borradores de Economia, Banco de la Republica de Colombia, number 1184, Dec, DOI: 10.32468/be.1184.
• Ana María Iregui-Bohórquez & César Anzola-Bravo & Luisa Fernanda Ballén-Rubio & Valeria Bejarano-Salcedo & Eliana González-Molano & Anderson Grajales-Olarte & Alexander Guarín-López & María Alejandra , 2021, "¿Qué nos dicen las encuestas sobre la formación de expectativas de inflación?," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, issue 100, pages 1-95, September.
• Jean-Charles Bricongne & Baptiste Meunier & Thomas Pical, 2021, "Can satellite data on air pollution predict industrial production?," Working papers, Banque de France, number 847.
• Flora Budianto & Giovanni Lombardo & Benoit Mojon & Daniel Rees, 2021, "Global reflation ?," BIS Bulletins, Bank for International Settlements, number 43, Jul.
• Jérémy Fouliard & Michael Howell & Hélène Rey, 2021, "Answering the Queen: Machine learning and financial crises," BIS Working Papers, Bank for International Settlements, number 926, Feb.
• Emanuel Kohlscheen, 2021, "What does machine learning say about the drivers of inflation?," BIS Working Papers, Bank for International Settlements, number 980, Nov.
• Bošnjak Mile & Novak Ivan & Bašić Maja, 2021, "Capital Market Returns and Inflation Nexus in Croatia: Wavelet Coherence Analysis," Business Systems Research, Sciendo, volume 12, issue 2, pages 253-267, December, DOI: 10.2478/bsrj-2021-0031.
• Tommaso Proietti & Alessandro Giovannelli, 2021, "Nowcasting monthly GDP with big data: A model averaging approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, volume 184, issue 2, pages 683-706, April, DOI: 10.1111/rssa.12645.
• Andreas Joseph & Eleni Kalamara & George Kapetanios & Galina Potjagailo & Chiranjit Chakraborty, 2021, "Forecasting UK inflation bottom up," Bank of England working papers, Bank of England, number 915, Mar.
• Oren Barkan & Jonathan Benchimol & Itamar Caspi & Allon Hammer & Noam Koenigstein, 2021, "Forecasting CPI Inflation Components with Hierarchical Recurrent Neural Networks," Bank of Israel Working Papers, Bank of Israel, number 2021.06, Mar.
• Osnat Zohar, 2021, "Cyclicality of Uncertainty and Disagreement," Bank of Israel Working Papers, Bank of Israel, number 2021.09, May.
• Takuji Kawamoto & Takashi Nakazawa & Yui Kishaba & Kohei Matsumura & Jouchi Nakajima, 2021, "Supplementary Paper Series for the "Assessment" (2): Estimating Effects of Expansionary Monetary Policy since the Introduction of Quantitative and Qualitative Monetary Easing (QQE) Using the Macroeconomic Model (Q-JEM)," Bank of Japan Working Paper Series, Bank of Japan, number 21-E-4, Apr.
• Jouchi Nakajima & Hiroaki Yamagata & Tatsushi Okuda & Shinnosuke Katsuki & Takeshi Shinohara, 2021, "Extracting Firms' Short-Term Inflation Expectations from the Economy Watchers Survey Using Text Analysis," Bank of Japan Working Paper Series, Bank of Japan, number 21-E-12, Oct.
• Iwanicz-Drozdowska Małgorzata & Kurowski Łukasz, 2021, "Keep your friends close and your enemies closer – the case of monetary policy and financial imbalances," German Economic Review, De Gruyter, volume 22, issue 4, pages 383-414, November, DOI: 10.1515/ger-2020-0045.
• Joshua Brault & Hashmat Khan & Louis Phaneuf & Jean Gardy Victor, 2021, "US Postwar Macroeconomic Fluctuations Without Indeterminacy," Carleton Economic Papers, Carleton University, Department of Economics, number 21-01, Feb, revised 25 May 2021.
• Jesús Fernández-Villaverde & Federico Mandelman & Yu Yang & Francesco Zanetti, 2021, "The "Matthew Effect" and Market Concentration: Search Complementarities and Monopsony Power," CESifo Working Paper Series, CESifo, number 8897.
• Thorsten Drautzburg & Jesús Fernández-Villaverde & Pablo Guerron-Quintana, 2021, "Bargaining Shocks and Aggregate Fluctuations," CESifo Working Paper Series, CESifo, number 8989.
• Dzung Bui & Lena Dräger & Bernd Hayo & Giang Nghiem, 2021, "Consumer Sentiment during the Covid-19 Pandemic: The Role of Others' Beliefs," CESifo Working Paper Series, CESifo, number 9010.
• Davide Cipullo & André Reslow, 2021, "Electoral Cycles in Macroeconomic Forecasts," CESifo Working Paper Series, CESifo, number 9088.
• Lutz Kilian & Nikos Nomikos & Xiaoqing Zhou, 2021, "Container Trade and the U.S. Recovery," CESifo Working Paper Series, CESifo, number 9154.
• Vito Polito & Yunyi Zhang, 2021, "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," CESifo Working Paper Series, CESifo, number 9395.
• Kajal Lahiri & Junyan Zhang & Yongchen Zhao, 2021, "Inefficiency in Social Security Trust Funds Forecasts," CESifo Working Paper Series, CESifo, number 9415.
• Mototsugu Shintani & Kozo Ueda, 2021, "Identifying the Source of Information Rigidities in the Expectations Formation Process," CARF F-Series, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, number CARF-F-516, Jun.
• Jesus Fernandez-Villaverde & Federico Mandelman & Yang Yu & Francesco Zanetti, 2021, "The “Matthew Effect” and Market Concentration: Search Complementarities and Monopsony Power," Discussion Papers, Centre for Macroeconomics (CFM), number 2105, Feb.
• Hugo Couture & Dalibor Stevanovic, 2021, "Analyse du marché du travail à l’aide des données de Google Trends," CIRANO Project Reports, CIRANO, number 2021rp-15, Aug.
• Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2021, "Can Machine Learning Catch the COVID-19 Recession?," CIRANO Working Papers, CIRANO, number 2021s-09, Mar.
• Miroslav Plasil, 2021, "Designing Macro-Financial Scenarios: The New CNB Framework and Satellite Models for Property Prices and Credit," Research and Policy Notes, Czech National Bank, Research and Statistics Department, number 2021/01, Sep.
• Karel Musil & Stanislav Tvrz & Jan Vlcek, 2021, "News versus Surprise in Structural Forecasting Models: Central Bankers' Practical Perspective," Research and Policy Notes, Czech National Bank, Research and Statistics Department, number 2021/02, Dec.
• Juli√°n Roa Rozo, 2021, "Spillovers de la pol√≠tica monetaria no convencional de los pa√≠ses avanzados hacia Am√©rica Latina," Documentos CEDE, Universidad de los Andes, Facultad de Economía, CEDE, number 19424, Jul.