Research classified by Journal of Economic Literature (JEL) codes

---

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

---

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

1. Forecasting Economic Activity Using Financial Variables
2. Nowcasting

2021

• Doan Van Dinh, 2021, "Impact of Crude Oil Price on Countries and Vietnam s GDP Growth: Variance Decomposition Approach," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 3, pages 110-120.
• Xenia Tabachkova, 2021, "Consequences of Oil Supply and Demand on the Electricity Market: Coronavirus Effect," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 4, pages 573-580.
• Ivan Aleksandrovich Kopytin & Nikolay Petrovich Pilnik & Ivan Pavlovich Stankevich, 2021, "Modelling Five Variables BVAR for Economic Policies and Growth in Azerbaijan, Kazakhstan and Russia: 2005 2020," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 5, pages 510-518.
• Thu, Le Ha & Leon-Gonzalez, Roberto, 2021, "Forecasting macroeconomic variables in emerging economies," Journal of Asian Economics, Elsevier, volume 77, issue C, DOI: 10.1016/j.asieco.2021.101403.
• Manzan, Sebastiano, 2021, "Are professional forecasters Bayesian?," Journal of Economic Dynamics and Control, Elsevier, volume 123, issue C, DOI: 10.1016/j.jedc.2020.104045.
• Clements, Michael P. & Galvão, Ana Beatriz, 2021, "Measuring the effects of expectations shocks," Journal of Economic Dynamics and Control, Elsevier, volume 124, issue C, DOI: 10.1016/j.jedc.2021.104075.
• Phaneuf, Louis & Victor, Jean Gardy, 2021, "On time-dependent nominal contracting models with positive trend inflation," Journal of Economic Dynamics and Control, Elsevier, volume 124, issue C, DOI: 10.1016/j.jedc.2021.104076.
• Drautzburg, Thorsten & Fernández-Villaverde, Jesús & Guerrón-Quintana, Pablo, 2021, "Bargaining shocks and aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, volume 127, issue C, DOI: 10.1016/j.jedc.2021.104121.
• Coenen, Günter & Montes-Galdón, Carlos & Schmidt, Sebastian, 2021, "Macroeconomic stabilisation and monetary policy effectiveness in a low-interest-rate environment," Journal of Economic Dynamics and Control, Elsevier, volume 132, issue C, DOI: 10.1016/j.jedc.2021.104205.
• Goldstein, Nathan & Zilberfarb, Ben-Zion, 2021, "Do forecasters really care about consensus?," Economic Modelling, Elsevier, volume 100, issue C, DOI: 10.1016/j.econmod.2021.105523.
• Belomestny, Denis & Krymova, Ekaterina & Polbin, Andrey, 2021, "Bayesian TVP-VARX models with time invariant long-run multipliers," Economic Modelling, Elsevier, volume 101, issue C, DOI: 10.1016/j.econmod.2021.105531.
• Garzon, Antonio J. & Hierro, Luis A., 2021, "Asymmetries in the transmission of oil price shocks to inflation in the eurozone," Economic Modelling, Elsevier, volume 105, issue C, DOI: 10.1016/j.econmod.2021.105665.
• Váry, Miklós, 2021, "The long-run real effects of monetary shocks: Lessons from a hybrid post-Keynesian-DSGE-agent-based menu cost model," Economic Modelling, Elsevier, volume 105, issue C, DOI: 10.1016/j.econmod.2021.105674.
• Shang, Yuhuang & Zheng, Tingguo, 2021, "Mixed-frequency SV model for stock volatility and macroeconomics," Economic Modelling, Elsevier, volume 95, issue C, pages 462-472, DOI: 10.1016/j.econmod.2020.03.013.
• Lin, Yu & Yan, Yan & Xu, Jiali & Liao, Ying & Ma, Feng, 2021, "Forecasting stock index price using the CEEMDAN-LSTM model," The North American Journal of Economics and Finance, Elsevier, volume 57, issue C, DOI: 10.1016/j.najef.2021.101421.
• Suh, Sangwon & Kim, Daehwan, 2021, "Inflation targeting and expectation anchoring: Evidence from developed and emerging market economies," The North American Journal of Economics and Finance, Elsevier, volume 58, issue C, DOI: 10.1016/j.najef.2021.101535.
• Uluceviz, Erhan & Yilmaz, Kamil, 2021, "Measuring real–financial connectedness in the U.S. economy," The North American Journal of Economics and Finance, Elsevier, volume 58, issue C, DOI: 10.1016/j.najef.2021.101554.
• Lyu, Yifei & Nie, Jun & Yang, Shu-Kuei X., 2021, "Forecasting US economic growth in downturns using cross-country data," Economics Letters, Elsevier, volume 198, issue C, DOI: 10.1016/j.econlet.2020.109668.
• Hartley, Jonathan S., 2021, "Friedman’s plucking model: New international evidence from Maddison Project data," Economics Letters, Elsevier, volume 199, issue C, DOI: 10.1016/j.econlet.2021.109724.
• Aguilar, Pablo & Ghirelli, Corinna & Pacce, Matías & Urtasun, Alberto, 2021, "Can news help measure economic sentiment? An application in COVID-19 times," Economics Letters, Elsevier, volume 199, issue C, DOI: 10.1016/j.econlet.2021.109730.
• An, Zidong & Liu, Dingqian & Wu, Yuzheng, 2021, "Expectation formation following pandemic events," Economics Letters, Elsevier, volume 200, issue C, DOI: 10.1016/j.econlet.2021.109739.
• Hayashi, Fumio & Tachi, Yuta, 2021, "The nowcast revision analysis extended," Economics Letters, Elsevier, volume 209, issue C, DOI: 10.1016/j.econlet.2021.110112.
• Mogliani, Matteo & Simoni, Anna, 2021, "Bayesian MIDAS penalized regressions: Estimation, selection, and prediction," Journal of Econometrics, Elsevier, volume 222, issue 1, pages 833-860, DOI: 10.1016/j.jeconom.2020.07.022.
• Bernstein, Joshua & Richter, Alexander W. & Throckmorton, Nathaniel A., 2021, "Cyclical net entry and exit," European Economic Review, Elsevier, volume 136, issue C, DOI: 10.1016/j.euroecorev.2021.103752.
• Burzyński, Michał & Machado, Joël & Aalto, Atte & Beine, Michel & Goncalves, Jorge & Haas, Tom & Kemp, Françoise & Magni, Stefano & Mombaerts, Laurent & Picard, Pierre & Proverbio, Daniele & Skupin, A, 2021, "COVID-19 crisis management in Luxembourg: Insights from an epidemionomic approach," Economics & Human Biology, Elsevier, volume 43, issue C, DOI: 10.1016/j.ehb.2021.101051.
• Boufateh, Talel & Saadaoui, Zied, 2021, "The time-varying responses of financial intermediation and inflation to oil supply and demand shocks in the US: Evidence from Bayesian TVP-SVAR-SV approach," Energy Economics, Elsevier, volume 102, issue C, DOI: 10.1016/j.eneco.2021.105535.
• Reimer, Jeffrey J., 2021, "An investigation of log prices in the U.S. Pacific Northwest," Forest Policy and Economics, Elsevier, volume 126, issue C, DOI: 10.1016/j.forpol.2021.102437.
• Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021, "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, volume 132, issue C, DOI: 10.1016/j.jinteco.2021.103512.
• Hillebrand, Eric & Lukas, Manuel & Wei, Wei, 2021, "Bagging weak predictors," International Journal of Forecasting, Elsevier, volume 37, issue 1, pages 237-254, DOI: 10.1016/j.ijforecast.2020.05.002.
• Ganics, Gergely & Odendahl, Florens, 2021, "Bayesian VAR forecasts, survey information, and structural change in the euro area," International Journal of Forecasting, Elsevier, volume 37, issue 2, pages 971-999, DOI: 10.1016/j.ijforecast.2020.11.001.
• Adams, Patrick A. & Adrian, Tobias & Boyarchenko, Nina & Giannone, Domenico, 2021, "Forecasting macroeconomic risks," International Journal of Forecasting, Elsevier, volume 37, issue 3, pages 1173-1191, DOI: 10.1016/j.ijforecast.2021.01.003.
• Chan, Joshua C.C., 2021, "Minnesota-type adaptive hierarchical priors for large Bayesian VARs," International Journal of Forecasting, Elsevier, volume 37, issue 3, pages 1212-1226, DOI: 10.1016/j.ijforecast.2021.01.002.
• Galvão, Ana Beatriz & Garratt, Anthony & Mitchell, James, 2021, "Does judgment improve macroeconomic density forecasts?," International Journal of Forecasting, Elsevier, volume 37, issue 3, pages 1247-1260, DOI: 10.1016/j.ijforecast.2021.02.007.
• Baumeister, Christiane & Guérin, Pierre, 2021, "A comparison of monthly global indicators for forecasting growth," International Journal of Forecasting, Elsevier, volume 37, issue 3, pages 1276-1295, DOI: 10.1016/j.ijforecast.2021.02.008.
• Goulet Coulombe, Philippe & Leroux, Maxime & Stevanovic, Dalibor & Surprenant, Stéphane, 2021, "Macroeconomic data transformations matter," International Journal of Forecasting, Elsevier, volume 37, issue 4, pages 1338-1354, DOI: 10.1016/j.ijforecast.2021.05.005.
• Proietti, Tommaso & Giovannelli, Alessandro & Ricchi, Ottavio & Citton, Ambra & Tegami, Christían & Tinti, Cristina, 2021, "Nowcasting GDP and its components in a data-rich environment: The merits of the indirect approach," International Journal of Forecasting, Elsevier, volume 37, issue 4, pages 1376-1398, DOI: 10.1016/j.ijforecast.2021.04.003.
• Iregui, Ana María & Núñez, Héctor M. & Otero, Jesús, 2021, "Testing the efficiency of inflation and exchange rate forecast revisions in a changing economic environment," Journal of Economic Behavior & Organization, Elsevier, volume 187, issue C, pages 290-314, DOI: 10.1016/j.jebo.2021.04.037.
• Mauersberger, Felix, 2021, "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, volume 197, issue C, DOI: 10.1016/j.jet.2021.105203.
• Cremers, Martijn & Fleckenstein, Matthias & Gandhi, Priyank, 2021, "Treasury yield implied volatility and real activity," Journal of Financial Economics, Elsevier, volume 140, issue 2, pages 412-435, DOI: 10.1016/j.jfineco.2020.12.009.
• Alter, Adrian & Mahoney, Elizabeth M., 2021, "Local house-price vulnerability: Evidence from the U.S. and Canada," Journal of Housing Economics, Elsevier, volume 54, issue C, DOI: 10.1016/j.jhe.2021.101791.
• Nakano, Satoshi & Nishimura, Kazuhiko, 2021, "Productivity propagation with networks transformation," Journal of Macroeconomics, Elsevier, volume 67, issue C, DOI: 10.1016/j.jmacro.2020.103216.
• Biolsi, Christopher, 2021, "Labor productivity forecasts based on a Beveridge–Nelson filter: Is there statistical evidence for a slowdown?," Journal of Macroeconomics, Elsevier, volume 69, issue C, DOI: 10.1016/j.jmacro.2021.103321.
• Karakotsios, Achillefs & Katrakilidis, Constantinos & Kroupis, Nikolaos, 2021, "The dynamic linkages between food prices and oil prices. Does asymmetry matter?," The Journal of Economic Asymmetries, Elsevier, volume 23, issue C, DOI: 10.1016/j.jeca.2021.e00203.
• Cronin, David & McQuinn, Kieran, 2021, "Are official forecasts of output growth in the EU still biased?," Journal of Policy Modeling, Elsevier, volume 43, issue 2, pages 337-349, DOI: 10.1016/j.jpolmod.2020.12.001.
• Cieślik, Andrzej & Turgut, Mehmet Burak, 2021, "Fiscal harmonization in view of the Euro adoption: Economic implications for Poland," Journal of Policy Modeling, Elsevier, volume 43, issue 2, pages 394-415, DOI: 10.1016/j.jpolmod.2020.05.001.
• Nakhli, Seyyed Reza & Rafat, Monireh & Dastjerdi, Rasul Bakhshi & Rafei, Meysam, 2021, "Oil sanctions and their transmission channels in the Iranian economy: A DSGE model," Resources Policy, Elsevier, volume 70, issue C, DOI: 10.1016/j.resourpol.2020.101963.
• Pincheira, Pablo & Hardy, Nicolás, 2021, "Forecasting aluminum prices with commodity currencies," Resources Policy, Elsevier, volume 73, issue C, DOI: 10.1016/j.resourpol.2021.102066.
• Scarcioffolo, Alexandre R. & Etienne, Xiaoli, 2021, "Testing directional predictability between energy prices: A quantile-based analysis," Resources Policy, Elsevier, volume 74, issue C, DOI: 10.1016/j.resourpol.2021.102258.
• Larsen, Vegard H. & Thorsrud, Leif Anders & Zhulanova, Julia, 2021, "News-driven inflation expectations and information rigidities," Journal of Monetary Economics, Elsevier, volume 117, issue C, pages 507-520, DOI: 10.1016/j.jmoneco.2020.03.004.
• Antolín-Díaz, Juan & Petrella, Ivan & Rubio-Ramírez, Juan F., 2021, "Structural scenario analysis with SVARs," Journal of Monetary Economics, Elsevier, volume 117, issue C, pages 798-815, DOI: 10.1016/j.jmoneco.2020.06.001.
• Maliar, Lilia & Maliar, Serguei & Winant, Pablo, 2021, "Deep learning for solving dynamic economic models," Journal of Monetary Economics, Elsevier, volume 122, issue C, pages 76-101, DOI: 10.1016/j.jmoneco.2021.07.004.
• Haffar, Adlane & Le Fur, Eric, 2021, "Structural vector error correction modelling of Bitcoin price," The Quarterly Review of Economics and Finance, Elsevier, volume 80, issue C, pages 170-178, DOI: 10.1016/j.qref.2021.02.010.
• Liu, Guangling & Molise, Thabang, 2021, "The effectiveness of the counter-cyclical loan-to-value regulation: Generic versus sector-specific rules," International Review of Economics & Finance, Elsevier, volume 72, issue C, pages 270-288, DOI: 10.1016/j.iref.2020.12.002.
• Chen, Guojin & Liu, Yanzhen & Zhang, Yu, 2021, "Systemic risk measures and distribution forecasting of macroeconomic shocks," International Review of Economics & Finance, Elsevier, volume 75, issue C, pages 178-196, DOI: 10.1016/j.iref.2021.04.019.
• Scarcioffolo, Alexandre R. & Etienne, Xiaoli L., 2021, "Regime-switching energy price volatility: The role of economic policy uncertainty," International Review of Economics & Finance, Elsevier, volume 76, issue C, pages 336-356, DOI: 10.1016/j.iref.2021.05.012.
• Ilek, Alex, 2021, "Are monetary surprises effective? The view of professional forecasters in Israel," International Review of Economics & Finance, Elsevier, volume 76, issue C, pages 516-530, DOI: 10.1016/j.iref.2021.06.009.
• Aleksandar Vasilev, 2021, "Indeterminacy with preferences featuring multiplicative habits in consumption," Journal of Economics and Econometrics, Economics and Econometrics Society, volume 64, issue 3, pages 1-16.
• Jesús Fernández-Villaverde & Federico Mandelman & Yang Yu & Francesco Zanetti, 2021, "The "Matthew effect" and market concentration: Search complementarities and monopsony power," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2021-22, Feb.
• James M. Nason & Gregor W. Smith, 2021, "UK inflation forecasts since the thirteenth century," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2021-32, Mar.
• Mototsugu Shintani & Kozo Ueda, 2021, "Identifying the source of information rigidities in the expectations formation process," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2021-48, Jun.
• Jaqueson K. Galimberti, 2021, "Initial beliefs uncertainty," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2021-68, Jul.
• Jing Tian & Jan P.A.M. Jacobs & Denise R. Osborn, 2021, "Multivariate decompositions and seasonal gender employment," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2021-72, Aug.
• 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," Thema Working Papers, THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS, number 2021-13.
• 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," Thema Working Papers, THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS, number 2021-15.
• Khandokar Istiak, 2021, "Broker-dealer leverage volatility and the US stock prices," Studies in Economics and Finance, Emerald Group Publishing Limited, volume 39, issue 1, pages 1-19, July, DOI: 10.1108/SEF-10-2020-0440.
• Emanuelle A. Alemar & Carlos A. Rodríguez, 2021, "Efectos reales de impulsos tecnológicos: el caso de Puerto Rico/Real effects of technology shocks: The case of Puerto Rico," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, volume 36, issue 2, pages 235-277.
• Violaine Faubert, 2021, "Is the Irish Phillips Curve broken?," The Economic and Social Review, Economic and Social Studies, volume 52, issue 4, pages 397-437.
• Vítor Martins & Alessandro Turrini & Bořek Vašíček & Madalina Zamfir, 2021, "Euro Area Housing Markets: Trends, Challenges and Policy Responses," European Economy - Discussion Papers, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission, number 147, Sep.
• Vojtech Molnar, 2021, "Price Level Targeting with Imperfect Rationality: A Heuristic Approach," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2021/07, Mar, revised Mar 2021.
• Anna Gloria Billé & Alessio Tomelleri & Francesco Ravazzolo, 2021, "Forecasting Regional GDPs: a Comparison with Spatial Dynamic Panel Data Models," FBK-IRVAPP Working Papers, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation, number 2021-02, Dec.
• Kevin X.D. Huang & Shuangjian Li & Guoqiang Tian, 2021, "Chinese Economy under the New ¡°Dual Circulation¡± Strategy: Challenges and Opportunities¡ªA Summary of the Annual SUFE Macroeconomic Report (2020¨C2021)," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, volume 16, issue 1, pages 1-29, March.
• Jesús Fernández-Villaverde & Federico S. Mandelman & Yang Yu & Francesco Zanetti, 2021, "The "Matthew Effect" and Market Concentration: Search Complementarities and Monopsony Power," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2021-4, Jan, DOI: 10.29338/wp2021-04.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2021, "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," Working Papers, Federal Reserve Bank of Cleveland, number 21-02R, Feb, revised 09 Aug 2021, DOI: 10.26509/frbc-wp-202102r.
• Randal J. Verbrugge, 2021, "Is It Time to Reassess the Focal Role of Core PCE Inflation?," Working Papers, Federal Reserve Bank of Cleveland, number 21-10, May, DOI: 10.26509/frbc-wp-202110.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2021, "Forecasting with Shadow-Rate VARs," Working Papers, Federal Reserve Bank of Cleveland, number 21-09, Mar, DOI: 10.26509/frbc-wp-202109.
• Joshua Bernstein & Alexander W. Richter & Nathaniel A. Throckmorton, 2021, "Nonlinear Search and Matching Explained," Working Papers, Federal Reserve Bank of Dallas, number 2106, May, DOI: 10.24149/wp2106.
• Lutz Kilian & Nikos Nomikos & Xiaoqing Zhou, 2021, "Container Trade and the U.S. Recovery," Working Papers, Federal Reserve Bank of Dallas, number 2108, Jun, DOI: 10.24149/wp2108.
• Joshua Bernstein & Michael D. Plante & Alexander W. Richter & Nathaniel A. Throckmorton, 2021, "Countercyclical Fluctuations in Uncertainty are Endogenous," Working Papers, Federal Reserve Bank of Dallas, number 2109, Jul, DOI: 10.24149/wp2109.
• Chad Fulton & Kirstin Hubrich, 2021, "Forecasting US Inflation in Real Time," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2021-014, Mar, DOI: 10.17016/FEDS.2021.014.
• Edward P. Herbst & Fabian Winkler, 2021, "The Factor Structure of Disagreement," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2021-046, Jul, DOI: 10.17016/FEDS.2021.046.
• Benjamin Gardner & Chiara Scotti & Clara Vega, 2021, "Words Speak as Loudly as Actions: Central Bank Communication and the Response of Equity Prices to Macroeconomic Announcements," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2021-074, Nov, DOI: 10.17016/FEDS.2021.074.
• Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021, "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1313, Mar, DOI: 10.17016/IFDP.2021.1313.
• Nina Boyarchenko & Richard K. Crump & Anna Kovner & Or Shachar, 2021, "Corporate Bond Market Distress," Staff Reports, Federal Reserve Bank of New York, number 957, Jan.
• Richard K. Crump & Stefano Eusepi & Domenico Giannone & Eric Qian & Argia M. Sbordone, 2021, "A Large Bayesian VAR of the United States Economy," Staff Reports, Federal Reserve Bank of New York, number 976, Aug.
• Siddhartha Chib & Minchul Shin & Fei Tan, 2021, "DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors," Working Papers, Federal Reserve Bank of Philadelphia, number 21-02, Jan, DOI: 10.21799/frbp.wp.2021.02.
• Tsukhlo Sergey, 2021, "Russian industrial sector in 2020: (based on surveys’ findings)," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2021-1125, revised 2021.
• Barinova Vera & Zemtsov Tsepan & Tsareva Yulia, 2021, "Small and medium business amid coronacrisis," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2021-1130, revised 2021.
• Chad Fulton & Kirstin Hubrich, 2021, "Forecasting US Inflation in Real Time," Econometrics, MDPI, volume 9, issue 4, pages 1-20, October.
• Nadiia Shapovalenko, 2021, "A BVAR Model for Forecasting Ukrainian Inflation," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 05-2021, Mar.
• Hager Ben Romdhane, 2021, "Nowcasting in Tunisia using large datasets and mixed frequency models," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 11-2021, Jun.
• Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021, "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers, The George Washington University, The Center for Economic Research, number 2021-005, Aug.
• Jean-Guillaume Sahuc & Matteo Mogliani & Laurent Ferrara, 2022, "High-frequency monitoring of growth at risk," Post-Print, HAL, number hal-03361425.
• 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," Sciences Po Economics Publications (main), HAL, number hal-03373425, Jan.
• 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, HAL, number hal-03373425, Jan.
• Frédérique Bec & Antonin Aviat & 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, HAL, number hal-03678309.
• 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, HAL, number hal-04159739.
• Rémi Odry & Roman Mestre, 2021, "Monetary Policy and Business Cycle Synchronization in Europe," Working Papers, HAL, number hal-04159759.
• Liudmila Kitrar & Tamara Lipkind, 2021, "Assessment Of GDP Growth After The Corona Crisis Using The Results Of Business And Consumer Surveys," HSE Working papers, National Research University Higher School of Economics, number WP BRP 118/STI/2021.
• Luigi Longo & Massimo Riccaboni & Armando Rungi, 2021, "A Neural Network Ensemble Approach for GDP Forecasting," Working Papers, IMT School for Advanced Studies Lucca, number 02/2021, Mar, revised Mar 2021.
• Arbeláez, María Angélica & Benítez, Miguel & Steiner, Roberto & Valencia, Oscar, 2021, "A Fiscal Rule to Achieve Debt Sustainability in Colombia," IDB Publications (Working Papers), Inter-American Development Bank, number 11040, Feb, DOI: http://dx.doi.org/10.18235/0003048.
• Molnarova, Zuzana & Reiter, Michael, 2021, "Technology, demand, and productivity: what an industry model tells us about business cycles," IHS Working Paper Series, Institute for Advanced Studies, number 29, Jan.
• Kristin J. Forbes & Joseph E. Gagnon & Christopher G. Collins, 2021, "Low inflation bends the Phillips curve around the world: Extended results," Working Paper Series, Peterson Institute for International Economics, number WP21-15, Sep.
• Eda Gülşen & Hakan Kara, 2021, "Policy Performance and the Behavior of Inflation Expectations," International Journal of Central Banking, International Journal of Central Banking, volume 17, issue 70, pages 1-46, October.
• Shunichi Yoneyama, 2021, "Central Bank Transparency and Disagreement in Inflation Expectations," IMES Discussion Paper Series, Institute for Monetary and Economic Studies, Bank of Japan, number 21-E-12, Dec.
• Metodij Hadzi-Vaskov & Mr. Luca A Ricci & Alejandro Mariano Werner & Rene Zamarripa, 2021, "Patterns in IMF Growth Forecast Revisions: A Panel Study at Multiple Horizons," IMF Working Papers, International Monetary Fund, number 2021/136, May.
• Lukas Boer & Mr. Andrea Pescatori & Martin Stuermer, 2021, "Energy Transition Metals," IMF Working Papers, International Monetary Fund, number 2021/243, Oct.
• Emanuele Citera & Shyam Gouri Suresh & Mark Setterfield, 2021, "The network origins of aggregate Fluctuations: A demand-side approach," FMM Working Paper, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute, number 72-2021.
• Guillermo Benavides, 2021, "Asymmetric Volatility Relevance in Risk Management: An Empirical Analysis using Stock Index Futures," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 16, issue TNEA, pages 1-18, Septiembr.
• Juan Camilo Anzoategui-Zapata & Juan Camilo Galvis-Ciro, 2021, "Effects of fiscal credibility on inflation expectations: evidence from an emerging economy," Public Sector Economics, Institute of Public Finance, volume 45, issue 1, pages 125-148, DOI: 10.3326/pse.45.1.4.
• Rodriguez Castelan, Carlos & Araar, Abdelkrim & Malásquez, Eduardo A. & Olivieri, Sergio & Vishwanath, Tara, 2021, "Distributional Effects of Competition: A Simulation Approach," IZA Discussion Papers, IZA Network @ LISER, number 14043, Jan.
• Florian, Huber & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2021, "Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs," JRC Working Papers in Economics and Finance, Joint Research Centre, European Commission, number 2021-01, Mar.
• Luiz Renato Lima & Lucas Lúcio Godeiro & Mohammed Mohsin, 2021, "Time-Varying Dictionary and the Predictive Power of FED Minutes," Computational Economics, Springer;Society for Computational Economics, volume 57, issue 1, pages 149-181, January, DOI: 10.1007/s10614-020-10039-9.
• Reinhard Neck & Klaus Weyerstrass & Dmitri Blueschke & Miroslav Verbič, 2021, "Demand-side or supply-side stabilisation policies in a small euro area economy: a case study for Slovenia," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, volume 48, issue 3, pages 593-610, August, DOI: 10.1007/s10663-021-09503-y.
• Brooke Beyer & Binod Guragai & Eric T. Rapley, 2021, "Discontinued operations and analyst forecast accuracy," Review of Quantitative Finance and Accounting, Springer, volume 57, issue 2, pages 595-627, August, DOI: 10.1007/s11156-021-00956-7.
• Jan-Egbert Sturm & Klaus Abberger & Marc Anderes & Justus Bamert & Florian Eckert & Michael Graff & Philipp Kronenberg & Heiner Mikosch & Nina Mühlebach & Stefan Neuwirth & Alexander Rathke & Samad Sa, 2021, "Konjunkturanalyse: Prognose 2021/ 2022. Schweizer Wirtschaft erholt sich – Coronavirus bleibt Taktgeber," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 15, issue 1, pages 1-64, March, DOI: 10.3929/ethz-b-000476386.
• Klaus Abberger & Yngve Abrahamsen & Marc Anderes & Justus Bamert & Florian Eckert & Michael Graff & Philipp Kronenberg & Heiner Mikosch & Nina Mühlebach & Stefan Neuwirth & Alexander Rathke & Samad Sa, 2021, "Konjunkturanalyse: Prognose 2021 / 2022 Der Aufschwung ist da – früher und stärker als erwartet," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 15, issue 2, pages 1-26, June, DOI: 10.3929/ethz-b-000491261.
• Klaus Abberger & Yngve Abrahamsen & Marc Anderes & Justus Bamert & Maurizio Daniele & Florian Eckert & Anne Kathrin Funk & Michael Graff & Philipp Kronenberg & Heiner Mikosch & Nina Mühlebach & Alexan, 2021, "Konjunkturanalyse: Prognose 2022/2023. Erholung der Schweizer Wirtschaft setzt sich fort – Risiken werden vielfältiger," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 15, issue 3, pages 1-76, September, DOI: 10.3929/ethz-b-000508428.
• Klaus Abberger & Yngve Abrahamsen & Marc Anderes & Justus Bamert & Maurizio Daniele & Florian Eckert & Anne Kathrin Funk & Michael Graff & Philipp Kronenberg & Heiner Mikosch & Nina Mühlebach & Alexan, 2021, "Konjunkturanalyse: Prognose 2022 / 2023 Pandemie bremst konjunkturelle Erholung," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 15, issue 4, pages 1-28, December, DOI: 10.3929/ethz-b-000523021.
• Gani Ramadani & Magdalena Petrovska & Vesna Bucevska, 2021, "Evaluation of mixed frequency approaches for tracking near-term economic developments in North Macedonia," Working Papers, National Bank of the Republic of North Macedonia, number 2021-03.
• Eyno Rots & Barnabas Szekely, 2021, "A Model-Based Comparison of Macroprudential Tools," MNB Working Papers, Magyar Nemzeti Bank (Central Bank of Hungary), number 2021/3.
• Jakub Rybacki, 2021, "Polish GDP forecast errors: a tale of inefficiency," Bank i Kredyt, Narodowy Bank Polski, volume 52, issue 2, pages 123-142.
• Vadim Elenev & Tim Landvoigt & Patrick J. Shultz & Stijn Van Nieuwerburgh, 2021, "Can Monetary Policy Create Fiscal Capacity?," NBER Working Papers, National Bureau of Economic Research, Inc, number 29129, Aug.
• Alberto Cavallo & Oleksiy Kryvtsov, 2021, "What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data," NBER Working Papers, National Bureau of Economic Research, Inc, number 29209, Sep.
• Kristin Forbes & Joseph Gagnon & Christopher G. Collins, 2021, "Low Inflation Bends the Phillips Curve around the World," NBER Working Papers, National Bureau of Economic Research, Inc, number 29323, Oct.
• Leland Farmer & Emi Nakamura & Jón Steinsson, 2021, "Learning About the Long Run," NBER Working Papers, National Bureau of Economic Research, Inc, number 29495, Nov.
• Shulgin, A. & Shulgin, S., 2021, "Investments in the infrastructure of Siberia and the Far East. Macroeconomic analysis based on general equilibrium model," Journal of the New Economic Association, New Economic Association, volume 49, issue 1, pages 81-114, DOI: 10.31737/2221-2264-2021-49-1-3.
• Akindinova, N. & Avdeyeva, D. & Kondrashov, N. & Misikhina, S. & Smirnov, S., 2021, "Macroeconomic consequences of the COVID-19 pandemic," Journal of the New Economic Association, New Economic Association, volume 52, issue 4, pages 239-246, DOI: 10.31737/2221-2264-2021-52-4-12.
• Emanuele Citera & Shyam Gouri Suresh & Mark Setterfield, 2021, "The network origins of aggregate fluctuations: a demand-side approach," Working Papers, New School for Social Research, Department of Economics, number 2118, Oct.
• Kasey Buckles & Daniel Hungerman & Steven Lugauer, 2021, "Is Fertility a Leading Economic Indicator?," The Economic Journal, Royal Economic Society, volume 131, issue 634, pages 541-565.
• Michael Cai & Marco Del Negro & Edward Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2021, "Online estimation of DSGE models," The Econometrics Journal, Royal Economic Society, volume 24, issue 1, pages 33-58.
• Valbona Cinaj & Rebeka Ribaj, 2021, "Macroeconomic Impact of Natural Disasters in Albania," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, volume 0, issue 1, pages 59-66, August.
• Jesús Fernández-Villaverde & Federico Mandelman & Yang Yu & Francesco Zanetti, 2021, "The “Matthew Effect” and Market Concentration:Search Complementarities and Monopsony Power," Economics Series Working Papers, University of Oxford, Department of Economics, number 932, Feb.
• Manuel M. F. Martins & Fabio Verona, 2021, "Inflation Dynamics and Forecast: Frequency Matters," CEF.UP Working Papers, Universidade do Porto, Faculdade de Economia do Porto, number 2101, Jun.
• Jackson, Emerson Abraham & Tamuke, Edmund, 2021, "The Science and Art of Communicating Fan Chart Uncertainty: The case of Inflation Outcome in Sierra Leone," MPRA Paper, University Library of Munich, Germany, number 105892, Jan, revised 05 Jan 2021.
• Brinca, Pedro & João, Costa-Filho, 2021, "Output falls and the international transmission of crises," MPRA Paper, University Library of Munich, Germany, number 107297, Apr.
• Pincheira, Pablo & Hardy, Nicolas, 2021, "The Mean Squared Prediction Error Paradox," MPRA Paper, University Library of Munich, Germany, number 107403, Apr.
• Kamalyan, Hayk, 2021, "The State-Dependent Effects of Monetary Policy," MPRA Paper, University Library of Munich, Germany, number 107489.
• Rybacki, Jakub & Gniazdowski, Michał, 2021, "Macroeconomic Forecasting in Poland: Lessons From the COVID-19 Outbreak," MPRA Paper, University Library of Munich, Germany, number 107682, May.
• Pincheira, Pablo & Hardy, Nicolas & Bentancor, Andrea & Henriquez, Cristóbal & Tapia, Ignacio, 2021, "Forecasting Base Metal Prices with an International Stock Index," MPRA Paper, University Library of Munich, Germany, number 107828, May.
• Saccal, Alessandro, 2021, "Confidence and economic activity in Europe," MPRA Paper, University Library of Munich, Germany, number 108812, Jul.
• Kindop, Igor, 2021, "Ubiquitous multimodality in mixed causal-noncausal processes," MPRA Paper, University Library of Munich, Germany, number 109594, Jul, revised 04 Sep 2021.
• Kamalyan, Hayk, 2021, "Phase-Dependent Monetary and Fiscal Policy," MPRA Paper, University Library of Munich, Germany, number 110341, Oct.
• Boer, Lukas & Pescatori, Andrea & Stuermer, Martin, 2021, "Energy Transition Metals," MPRA Paper, University Library of Munich, Germany, number 110364, Oct.
• Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2021, "Uncertainty and Forecastability of Regional Output Growth in the United Kingdom: Evidence from Machine Learning," Working Papers, University of Pretoria, Department of Economics, number 202111, Feb.
• Hossein Hassani & Mohammad Reza Yeganegi & Rangan Gupta, 2021, "The ENSO Cycle and Forecastability of Global Inflation and Output Growth: Evidence from Standard and Mixed-Frequency Multivariate Singular Spectrum Analyses," Working Papers, University of Pretoria, Department of Economics, number 202169, Oct.
• Yue-Jun Zhang & Han Zhang & Rangan Gupta, 2021, "Forecasting the Artificial Intelligence Index Returns: A Hybrid Approach," Working Papers, University of Pretoria, Department of Economics, number 202182, Nov.
• Steven F. Koch, 2021, "Equivalence Scales with Endogeneity and Base Independence," Working Papers, University of Pretoria, Department of Economics, number 202185, Dec.
• Katerina Gawthorpe, 2021, "Random Forest as a Model for Czech Forecasting," Prague Economic Papers, Prague University of Economics and Business, volume 2021, issue 3, pages 336-357, DOI: 10.18267/j.pep.765.
• Caio Almeida & Jianqing Fan & Francesca Tang, 2021, "Can a Machine Correct Option Pricing Models?," Working Papers, Princeton University. Economics Department., number 2021-44, May.
• Paulina Ziembińska, 2021, "Quality of Tests of Expectation Formation for Revised Data," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, volume 13, issue 4, pages 405-453, December.
• Pongpitch Amatyakul & Tosapol Apaitan & Savaphol Hiruntiaranakul & Nuwat Nookhwun, 2021, "Revisiting Thailand's Monetary Policy Model for an Integrated Policy Analysis," PIER Discussion Papers, Puey Ungphakorn Institute for Economic Research, number 164, Sep.
• Sarun Kamolthip, 2021, "Macroeconomic Forecasting with LSTM and Mixed Frequency Time Series Data," PIER Discussion Papers, Puey Ungphakorn Institute for Economic Research, number 165, Oct.
• James M. Nason & Gregor W. Smith, 2021, "UK Inflation Forecasts since the Thirteenth Century," Working Paper, Economics Department, Queen's University, number 1454, Feb.
• Pérez Forero, Fernando, 2021, "Predicción de variables macroeconómicas en el Perú a través un modelo BVAR con media cambiante en el tiempo," Working Papers, Banco Central de Reserva del Perú, number 2021-001, Mar.
• Tyler Atkinson & Michael Plante & Alexander Richter & Nathaniel Throckmorton, 2021, "Code and data files for "Complementarity and Macroeconomic Uncertainty"," Computer Codes, Review of Economic Dynamics, number 21-53, revised .
• Karen Poghosyan & Ruben Poghosyan, 2021, "On the applicability of dynamic factor models for forecasting real GDP growth in Armenia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 61, pages 28-46.
• Kshitij Abhay Kakade & Aswini Kumar Mishra, 2021, "The impact of macroeconomic and oil shocks on India’s non-ferrous metal prices: A structural-VAR approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 63, pages 30-50.
• Necmettin Alpay Kocak, 2021, "Analysis of Relationship between the Consumer and Producer Prices in Turkey using Alternative Estimation Methods (Türkiye'de Tüketici ve Üretici Fiyatları Arasındaki İlişkinin Alternatif Tahmin Yöntem," Business and Economics Research Journal, Bursa Uludag University, Faculty of Economics and Administrative Sciences, volume 12, issue 1, pages 33-47.
• Gover Barja, 2021, "Graphing And Measuring COVID’s First Wave Impact On The Bolivian Economy," Documentos de trabajo, Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana, number 4/2021, Jun.
• Sailesh Bhaghoe & Gavin Ooft, 2021, "Nowcasting Quarterly GDP Growth in Suriname with Factor-MIDAS and Mixed-Frequency VAR Models," Studies in Applied Economics, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise, number 176, Mar.
• Geonwoo Lee, 2021, "The Decline of Korean Industrial Vitality as Shown by the Structural Change Index," i-KIET Issues and Analysis, Korea Institute for Industrial Economics and Trade, number 21/10, May.
• Sung Wook Hong & Seong-hwan Min, 2021, "Market Analysis of Key Manufacturing Segments Using News Data," Research Papers, Korea Institute for Industrial Economics and Trade, number 21/8, May.
• Gover Barja, 2021, "Graphing and Measuring COVID-19’s First Wave Impact on the Bolivian Economy: Facing the Unknown," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB), issue 36, pages 7-42.
• Shakil Ahmad, 2021, "Does COVID-19 effects the United States crude oil imports price?," Economic Consultant, Scientific and Educational Initiative LLC, volume 33, issue 1, pages 57-67.
• Rizwan Raheem AHMED & Dalia STREIMIKIENE & Saghir Pervaiz GHAURI & Muhammad AQIL, 2021, "Forecasting Inflation by Using the Sub-Groups of both CPI and WPI: Evidence from Auto Regression (AR) and ARIMA Models," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 2, pages 144-161, June.
• Lucian Croitoru, 2021, "Responding to Criticism of Monetary Policy in Romania in the Decade Surrounding the 2008 Financial Crisis (2004-2013)," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 4, pages 39-58, December.
• Dimitriou Dimitrios & Pappas Anastasios & Kazanas Thanassis & Kenourgios Dimitris, 2021, "Do confidence indicators lead Greek economic activity?," Bulletin of Applied Economics, Risk Market Journals, volume 8, issue 2, pages 1-15.
• Jacobus Nel & Lucas A. Mariani, , "Economic impacts of FATF recommendations and grey-listing announcement," ERSA Working Paper Series, Economic Research Southern Africa, number 05.
• Christian K. Tipoy & Malibongwe C. Nyati & Paul F. Muzindutsi, 2021, "Measuring and testing a modified version of the South African financial cycle," ERSA Working Paper Series, Economic Research Southern Africa, number 869, Oct.
• Bo?ena Kade?ábková & Emilie Ja?ová, 2021, "How the Czech government got the pandemic wrong," Proceedings of Economics and Finance Conferences, International Institute of Social and Economic Sciences, number 12513377, Jul.
• Sierra Juárez, Guillermo, 2021, "Curvatura de Ricci como Indicador de Fragilidad en el Contagio del COVID-19 y de los Mercados Financieros en el mundo / Ricci Curvature as an indicator of fragility in the contagium of COVID-19 and in financial markets around the world," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, volume 11, issue 1, pages 81-112, enero-jun.
• Giuseppe Orlando & Giovanna Zimatore, 2021, "Recurrence Quantification Analysis of Business Cycles," Dynamic Modeling and Econometrics in Economics and Finance, Springer, chapter 0, in: Giuseppe Orlando & Alexander N. Pisarchik & Ruedi Stoop, "Nonlinearities in Economics", DOI: 10.1007/978-3-030-70982-2_17.
• Camilla Mastromarco & Léopold Simar & Valentin Zelenyuk, 2021, "Predicting recessions with a frontier measure of output gap: an application to Italian economy," Empirical Economics, Springer, volume 60, issue 6, pages 2701-2740, June, DOI: 10.1007/s00181-021-02029-z.
• Han-Liang Cheng & Nan-Kuang Chen, 2021, "A study of financial cycles and the macroeconomy in Taiwan," Empirical Economics, Springer, volume 61, issue 4, pages 1749-1778, October, DOI: 10.1007/s00181-020-01926-z.
• Angela Capolongo & Claudia Pacella, 2021, "Forecasting inflation in the euro area: countries matter!," Empirical Economics, Springer, volume 61, issue 5, pages 2477-2499, November, DOI: 10.1007/s00181-020-01959-4.
• Ozge Kandemir Kocaaslan, 2021, "Are the responses of output and investment to oil price shocks asymmetric?: The case of an oil-importing small open economy," Empirical Economics, Springer, volume 61, issue 5, pages 2501-2516, November, DOI: 10.1007/s00181-020-01983-4.
• Fan Zhang & Paresh Kumar Narayan & Neluka Devpura, 2021, "Has COVID-19 changed the stock return-oil price predictability pattern?," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 7, issue 1, pages 1-10, December, DOI: 10.1186/s40854-021-00277-7.
• Ashok Banerjee & Ayush Kanodia & Partha Ray, 2021, "Deciphering Indian inflationary expectations through text mining: an exploratory approach," Indian Economic Review, Springer, volume 56, issue 1, pages 49-66, June, DOI: 10.1007/s41775-021-00106-9.
• Aaron G. Grech & Reuben Ellul, 2021, "Are the European Commission’s Business and Consumer Survey Results Coincident Indicators for Maltese Economic Activity?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 17, issue 1, pages 91-108, April, DOI: 10.1007/s41549-020-00044-0.
• Robert Lehmann & Magnus Reif, 2021, "Predicting the German Economy: Headline Survey Indices Under Test," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 17, issue 2, pages 215-232, November, DOI: 10.1007/s41549-021-00055-5.
• Viv B. Hall & Peter Thomson, 2021, "Does Hamilton’s OLS Regression Provide a “better alternative” to the Hodrick-Prescott Filter? A New Zealand Business Cycle Perspective," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 17, issue 2, pages 151-183, November, DOI: 10.1007/s41549-021-00059-1.
• Jens J. Krüger, 2021, "A Wavelet Evaluation of Some Leading Business Cycle Indicators for the German Economy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 17, issue 3, pages 293-319, December, DOI: 10.1007/s41549-021-00060-8.
• Martin Pažický, 2021, "Predicting Recessions in Germany Using the German and the US Yield Curve," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 17, issue 3, pages 263-291, December, DOI: 10.1007/s41549-021-00061-7.
• Philip Hans Franses, 2021, "Modeling Judgment in Macroeconomic Forecasts," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), volume 19, issue 1, pages 401-417, December, DOI: 10.1007/s40953-021-00277-5.
• Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021, "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, volume 1, issue 6, pages 1-21, June, DOI: 10.1007/s43546-021-00077-2.
• Martin Gornig & Oliver Holtemöller & Stefan Kooths & Torsten Schmidt & Timo Wollmershäuser, 2021, "Gemeinschaftsdiagnose: Die Krise wird allmählich überwunden
  [The Crisis is Gradually Being Overcome]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, volume 101, issue 10, pages 773-776, October, DOI: 10.1007/s10273-021-3026-y.
• Fabio Gobbi, 2021, "Evaluating Forecasts from State-Dependent Autoregressive Models for US GDP Growth Rate. Comparison with Alternative Approaches," Advances in Management and Applied Economics, SCIENPRESS Ltd, volume 11, issue 6, pages 1-7.
• Paul Levine & Neil Rickman, 2021, "Optimal Lockdown in an Epidemiological-Macroeconomic Model," School of Economics Discussion Papers, School of Economics, University of Surrey, number 0421, Mar.
• Martin Cesnak & Jan Klacso, 2021, "Assessing real estate prices in Slovakia - a structural approach," Working and Discussion Papers, Research Department, National Bank of Slovakia, number WP 3/2021, Jun.
• Magnus, Jan & Vasnev, Andrey, 2021, "On the uncertainty of a combined forecast: The critical role of correlation," Working Papers, University of Sydney Business School, Discipline of Business Analytics, number BAWP-2022-01, Dec.
• Constantin Bürgi & Tara M. Sinclair, 2021, "What does forecaster disagreement tell us about the state of the economy?," Applied Economics Letters, Taylor & Francis Journals, volume 28, issue 1, pages 49-53, January, DOI: 10.1080/13504851.2020.1730751.
• Tamás Kiss & Pär Österholm, 2021, "Corona, crisis and conditional heteroscedasticity," Applied Economics Letters, Taylor & Francis Journals, volume 28, issue 9, pages 755-759, May, DOI: 10.1080/13504851.2020.1776829.
• N. Abilov, 2021, "A Medium-Scale Bayesian DSGE Model for Kazakhstan with Incomplete Exchange Rate Pass-Through," International Economic Journal, Taylor & Francis Journals, volume 35, issue 4, pages 486-522, October, DOI: 10.1080/10168737.2021.1999298.
• Selcuk Gul & Abdullah Kazdal, 2021, "Nowcasting and Short-term Forecasting Turkish GDP: Factor-MIDAS Approach," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 2111.