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

• Olkhov, Victor, 2022, "The Market-Based Asset Price Probability," MPRA Paper, University Library of Munich, Germany, number 115382, May, revised 16 Nov 2022.
• Garratt, Anthony & Petrella, Ivan & Zhang, Yunyi, 2022, "Asymmetry and Interdependence when Evaluating U.S. Energy Information Administration Forecasts," MPRA Paper, University Library of Munich, Germany, number 115559, Aug.
• Skufi, Lorena & Papavangjeli, Meri, 2022, "The Changing Dynamics Of Albanian Inflation: A Quantile Regression Approach," MPRA Paper, University Library of Munich, Germany, number 116115.
• Yusifzada, Tural, 2022, "Response of Inflation to the Climate Stress: Evidence from Azerbaijan," MPRA Paper, University Library of Munich, Germany, number 116522, Apr, revised 20 Sep 2022.
• Benhima, Kenza & Bolliger, Elio, 2022, "Do Local Forecasters Have Better Information?," MPRA Paper, University Library of Munich, Germany, number 117072, Nov, revised Sep 2023.
• Olkhov, Victor, 2022, "Market-Based Price Autocorrelation," MPRA Paper, University Library of Munich, Germany, number 120288, Jan, revised 26 Feb 2024.
• Rahimi Kahkashi, Sanaz & Adeli, OmidAli & Maleki, Mohammad Hassan & Roudari, Soheil, 2022, "پیش بینی نحوه اثرگذاری عوامل مؤثر بر رشد اقتصادی ایران با رویکرد مدل میانگین گیری پویا
  [Predicting the effect of factors affecting the economic growth of Iran with the approach of dynamic averaging models]," MPRA Paper, University Library of Munich, Germany, number 127009, Nov, revised 23 May 2023.
• Sergey Ivashchenko & Semih Emre Cekin & Rangan Gupta & Chien-Chiang Lee, 2022, "Real-Time Forecast of DSGE Models with Time-Varying Volatility in GARCH Form," Working Papers, University of Pretoria, Department of Economics, number 202204, Jan.
• Oguzhan Cepni & Christina Christou & Rangan Gupta, 2022, "Forecasting National Recessions of the United States with State-Level Climate Risks: Evidence from Model Averaging in Markov-Switching Models," Working Papers, University of Pretoria, Department of Economics, number 202252, Oct.
• Sophio Togonidze & Evžen Kočenda, 2022, "Macroeconomic Responses of Emerging Market Economies to Oil Price Shocks: An Analysis by Region and Resource Profile," FFA Working Papers, Prague University of Economics and Business, number 4.005, Apr, revised 25 Apr 2022.
• Sophio Togonidze & Evžen Kočenda, 2022, "Macroeconomic implications of oil price shocks to emerging economies: a Markov regime-switching approach," FFA Working Papers, Prague University of Economics and Business, number 4.009, May, revised 06 Sep 2022.
• Marcin Bielecki, 2022, "Innovation and Endogenous Growth over the Business Cycle with Frictional Labor Markets," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, volume 14, issue 3, pages 263-302, September.
• Aguirre, Jhon & Arrieta, Johar & Castillo, Luis & Florián, David & Ledesma, Alan & Martínez, Jeffesron & Morales, Valeria & Vélez, Amilcar, 2022, "Modelo de Proyección Trimestral: Una actualización hasta 2019," Working Papers, Banco Central de Reserva del Perú, number 2022-011, Jul.
• Diana Petrova, 2022, "Assessment of inflation expectations based on internet data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 66, pages 25-38.
• Zeynep Kantur & Gulserim Ozcan, 2022, "Monetary Policymaking under Climate Uncertainty," Business and Economics Research Journal, Bursa Uludag University, Faculty of Economics and Administrative Sciences, volume 13, issue 4, pages 579-591.
• Ina Hajdini & Andre Kurmann, 2022, "Predictable Forecast Errors in Full-Information Rational Expectations Models with Regime Shifts," School of Economics Working Paper Series, LeBow College of Business, Drexel University, number 2022-5, May.
• Ömer ÖNALAN, 2022, "Joint Modelling of S&P500 and VIX Indices with Rough Fractional Ornstein-Uhlenbeck Volatility Model," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 1, pages 68-84, April.
• Csaba BÁLINT, 2022, "Sectorial Price Shock Propagation via Input-Output Linkages," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 4, pages 21-40, December.
• Perevyshin, Yury (Перевышин, Юрий) & Drobyshevsky, Sergey (Дробышевский, Сергей) & Trunin, Pavel (Трунин, Павел), 2022, "Analysis Of Alternative Approaches To Determining The Target Level Of Inflation In Russia
  [Анализ Альтернативных Подходов К Определению Целевого Уровня Инфляции Банком России]," Working Papers, Russian Presidential Academy of National Economy and Public Administration, number w20220204, Nov.
• Vedev, Aleksey (Ведев, Алексей) & Silchuk, Anastasia (Сильчук, Анастасия) & Tuzov, Konstantin (Тузов, Константин) & Kovaleva, Marina (Ковалева, Марина) & Eremkin, Vladimir (Ерёмкин, Владимир), 2022, "Organization Of The System Of Macroeconomic Analysis And Forecasting In The Republic Of Uzbekistan
  [Организация Системы Макроэкономического Анализа И Прогнозирования В Республике Узбекистан]," Working Papers, Russian Presidential Academy of National Economy and Public Administration, number w20220210, Nov.
• Vedev, Aleksey (Ведев, Алексей) & Silchuk, Anastasia (Сильчук, Анастасия) & Tuzov, Konstantin (Тузов, Константин) & Kovaleva, Marina (Ковалева, Марина) & Eremkin, Vladimir (Ерёмкин, Владимир), 2022, "Assessment Of The Prospects For Russia To Enter The Path Of Sustainable Growth After 2021: Analysis Of Possible Development Risks And Development Of Proposals For Risk Management
  [Оценка Перспектив Выхода России На Траекторию Устойчивого Роста Пос," Working Papers, Russian Presidential Academy of National Economy and Public Administration, number w20220211, Nov.
• Vedev, Alexey (Ведев, Алексей) & Silchuk, Aleksandra (Сильчук, Александра) & Tuzov, Konstantin (Тузов, Константин) & Kovaleva, Marina (Ковалева, Марина) & Eremkin, Vladimir (Ерёмкин, Владимир), 2022, "Analysis Of The Efficiency Of Industry Support Measures During The Coronavirus Pandemic And Their Contribution To The Recovery Of Economic Activity In Russia
  [Анализ Эффективности Отраслевых Мер Поддержки В Условиях Пандемии Коронавируса И Их Вкла," Working Papers, Russian Presidential Academy of National Economy and Public Administration, number w20220298, Nov.
• Anping Chen & Nicolaas Groenewold, 2022, "Regional Resilience in China: The Response of the Provinces to the Growth Slowdown," The Review of Regional Studies, Southern Regional Science Association, volume 52, issue 1, pages 74-103, DOI: 10.52324/001c.35253.
• Steven F. Koch, 2022, "Equivalence scales with endogeneity and base independence," ERSA Working Paper Series, Economic Research Southern Africa, number 874, Feb.
• Abdulkader C. Mahomedy & Elias Udeaja & Kazeem Isah & Ojo Adelakun & Yusuf Yakubua, 2022, "Revisiting the accuracy of inflation forecasts in Nigeria: The oil price-exchange rate-asymmetry perspectives," ERSA Working Paper Series, Economic Research Southern Africa, number 875, Feb.
• Mojtaba Hajian Heidary, 2022, "The Effect of COVID-19 Pandemic on the Global Supply Chain Operations: A System Dynamics Approach," Foreign Trade Review, , volume 57, issue 2, pages 198-220, May, DOI: 10.1177/00157325211060932.
• Vito Polito & Yunyi Zhang, 2022, "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," Working Papers, The University of Sheffield, Department of Economics, number 2022004, Mar.
• Christian Hepenstrick & Jason Blunier, 2022, "What were they thinking? Estimating the quarterly forecasts underlying annual growth projections," Working Papers, Swiss National Bank, number 2022-05.
• 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," Digital Finance, Springer, volume 4, issue 1, pages 17-61, March, DOI: 10.1007/s42521-021-00045-3.
• Charl Maree & Christian W. Omlin, 2022, "Reinforcement learning with intrinsic affinity for personalized prosperity management," Digital Finance, Springer, volume 4, issue 2, pages 241-262, September, DOI: 10.1007/s42521-022-00068-4.
• Chao Liang & Yin Liao & Feng Ma & Bo Zhu, 2022, "United States Oil Fund volatility prediction: the roles of leverage effect and jumps," Empirical Economics, Springer, volume 62, issue 5, pages 2239-2262, May, DOI: 10.1007/s00181-021-02093-5.
• Zhiyong Fan & Yushan Hu & Penglong Zhang, 2022, "Measuring China's core inflation for forecasting purposes: taking persistence as weight," Empirical Economics, Springer, volume 63, issue 1, pages 93-111, July, DOI: 10.1007/s00181-021-02128-x.
• Christian Glocker & Serguei Kaniovski, 2022, "Macroeconometric forecasting using a cluster of dynamic factor models," Empirical Economics, Springer, volume 63, issue 1, pages 43-91, July, DOI: 10.1007/s00181-021-02129-w.
• Jason Furman, 2022, "Why Did (Almost) No One See the Inflation Coming?," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), volume 57, issue 2, pages 79-86, March, DOI: 10.1007/s10272-022-1034-9.
• Paolo Pasimeni, 2022, "Supply or Demand, that is the Question: Decomposing Euro Area Inflation," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), volume 57, issue 6, pages 384-393, November, DOI: 10.1007/s10272-022-1092-z.
• Juan Camilo Galvis-Ciro & Juan Camilo Anzoátegui-Zapata & Cristina Isabel Ramos-Barroso, 2022, "The Effect of Communication and Credibility on Fiscal Disagreement: Empirical Evidence from Colombia," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 18, issue 3, pages 215-238, November, DOI: 10.1007/s41549-022-00070-0.
• Michał Przybyliński & Artur Gorzałczyński, 2022, "Applying the input–output price model to identify inflation processes," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), volume 11, issue 1, pages 1-11, December, DOI: 10.1186/s40008-022-00264-w.
• H. Alan Love & John Freebairn, 2022, "Macroeconomic Linkages to the Agricultural Supply Chain," Natural Resource Management and Policy, Springer, in: Harry de Gorter & Jill McCluskey & Johan Swinnen & David Zilberman, "Modern Agricultural and Resource Economics and Policy", DOI: 10.1007/978-3-030-77760-9_15.
• Yoichi Tsuchiya, 2022, "Evaluating plant managers’ production plans over business cycles: asymmetric loss and rationality," SN Business & Economics, Springer, volume 2, issue 8, pages 1-29, August, DOI: 10.1007/s43546-022-00279-2.
• Scott M. R. Mahadeo & Reinhold Heinlein & Gabriella D. Legrenzi, 2022, "Tracing the Sources of Contagion in the Oil-Finance Nexus," Springer Books, Springer, chapter 0, in: Christos Floros & Ioannis Chatziantoniou, "Applications in Energy Finance", DOI: 10.1007/978-3-030-92957-2_5.
• Klaus Abberger & Michael Graff & Oliver Müller & Jan-Egbert Sturm, 2022, "Composite global indicators from survey data: the Global Economic Barometers," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), volume 158, issue 3, pages 917-945, August, DOI: 10.1007/s10290-021-00449-8.
• Oliver Holtemöller & Stefan Kooths & Torsten Schmidt & Timo Wollmershäuser, 2022, "Gemeinschaftsdiagnose: Energiekrise, Inflation, Rezession und Wohlstandsverlust
  [Energy Crisis: Inflation, Recession, Welfare Loss]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, volume 102, issue 10, pages 761-765, October, DOI: 10.1007/s10273-022-3291-4.
• Ferdinand Fichtner & Simon Junker & Claus Michelsen & Thore Schlaak, 2022, "Peak Inflation: Ist die Teuerungswelle gebrochen?
  [Peak Inflation: Has the Inflation Wave Been Broken?]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, volume 102, issue 12, pages 976-978, December, DOI: 10.1007/s10273-022-3349-3.
• Johannes Mayr, 2022, "Inflationsausblick — Kosten des Krieges treiben Inflation in neue Höhen
  [Inflation Outlook — The Costs of War drive prices up to new heights]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, volume 102, issue 3, pages 236-238, March, DOI: 10.1007/s10273-022-3140-5.
• Martin Gornig & Oliver Holtemöller & Stefan Kooths & Torsten Schmidt & Timo Wollmershäuser, 2022, "Gemeinschaftsdiagnose: Ohne russisches Gas droht eine scharfe Rezession in Deutschland
  [Without Russian Gas, a Sharp Recession Looms in Germany]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, volume 102, issue 5, pages 347-353, May, DOI: 10.1007/s10273-022-3187-3.
• Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022, "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2022/33, Oct.
• Tereza Matasová & Marek Vochozka & Zuzana Rowland, 2022, "Alternative costs of equity of coal mining companies taking into account a context of the Russian Invasion into Ukraine," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, volume 10, issue 2, pages 394-407, December, DOI: 10.9770/jesi.2022.10.2(24).
• Andrea Carriero & Alessio Volpicella, 2022, "Generalizing the Max Share Identification to multiple shocks identification: an Application to Uncertainty," School of Economics Discussion Papers, School of Economics, University of Surrey, number 0322, Mar.
• Alexander Foltas & Christian Pierdzioch, 2022, "Business-cycle reports and the efficiency of macroeconomic forecasts for Germany," Applied Economics Letters, Taylor & Francis Journals, volume 29, issue 10, pages 867-872, June, DOI: 10.1080/13504851.2021.1896668.
• Shigeto Kitano, 2022, "How do world commodity prices affect Asian commodity exporting economies? The role of financial frictions," Applied Economics Letters, Taylor & Francis Journals, volume 29, issue 1, pages 84-90, January, DOI: 10.1080/13504851.2021.1887446.
• Josefine Quast & Maik H. Wolters, 2022, "Reliable Real-Time Output Gap Estimates Based on a Modified Hamilton Filter," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 40, issue 1, pages 152-168, January, DOI: 10.1080/07350015.2020.1784747.
• Roman Frydman & Morten Nyboe Tabor, 2022, "Muth's Hypothesis Under Knightian Uncertainty: A Novel Account of Inflation Forecasts," Working Papers Series, Institute for New Economic Thinking, number inetwp194, Dec, DOI: 10.36687/inetwp194.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman van Dijk, 2022, "A Flexible Predictive Density Combination Model for Large Financial Data Sets in Regular and Crisis Periods," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 22-013/III, Feb.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2022, "A Flexible Predictive Density Combination for Large Financial Data Sets in Regular and Crisis Periods," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 22-053/III, Aug.
• Yunjong Eo & James Morley, 2022, "Why Has the U.S. Economy Stagnated since the Great Recession?," The Review of Economics and Statistics, MIT Press, volume 104, issue 2, pages 246-258, May, DOI: 10.1162/rest_a_00957.
• Tran, Thuy Nhung, 2022, "The Volatility of the Stock Market and Financial Cycle: GARCH Family Models," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, volume 56, issue 1, pages 151-168, DOI: http://dx.doi.org/10.17576/JEM-2022.
• Ablaev Emil & Magzhanov Timur, 2022, "Fiscal Rules and Procyclical Fiscal Policy in Russia," Working Papers, Moscow State University, Faculty of Economics, number 0039, Mar.
• Petar Piperkov, 2022, "Scientific and Methodological Problems in Modern Macroeconomics," Scientific Conference of the Department of General Economic Theory, University of Economics - Varna, issue 1, pages 74-78.
• Bätz Kerstin & Siegfried Patrick, 2022, "Reflecting on the Efficiency of Design Thinking and Lean Startup," Journal of Intercultural Management, Sciendo, volume 14, issue 1, pages 4-53, March, DOI: 10.2478/joim-2022-0001.
• Jakšić Saša, 2022, "Modelling Determinants of Inflation in CESEE Countries: Global Vector Autoregressive Approach," Review of Economic Perspectives, Sciendo, volume 22, issue 2, pages 137-169, June, DOI: 10.2478/revecp-2022-0007.
• Hall, Viv B. & Thomson, Peter, 2022, "A boosted HP filter for business cycle analysis: evidence from New Zealand’s small open economy," Working Paper Series, Victoria University of Wellington, School of Economics and Finance, number 21184.
• Justin Damien Guénette & M.Ayhan Kose & Naotaka Sugawara, 2022, "Is a Global Recession Imminent?," World Bank Publications - Reports, The World Bank Group, number 38019, Sep.
• Nikola Fabris & Nina Vujanović, 2022, "What Drives Credit Risk? Empirical Evidence from Southeast Europe," wiiw Working Papers, The Vienna Institute for International Economic Studies, wiiw, number 214, May.
• Thórarinn G. Pétursson, 2022, "Long‐term inflation expectations and inflation dynamics," International Journal of Finance & Economics, John Wiley & Sons, Ltd., volume 27, issue 1, pages 158-174, January, DOI: 10.1002/ijfe.2144.
• Anthony Garratt & Ivan Petrella, 2022, "Commodity prices and inflation risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 37, issue 2, pages 392-414, March, DOI: 10.1002/jae.2868.
• Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2022, "An automated prior robustness analysis in Bayesian model comparison," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 37, issue 3, pages 583-602, April, DOI: 10.1002/jae.2889.
• Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2022, "The global component of inflation volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 37, issue 4, pages 700-721, June, DOI: 10.1002/jae.2896.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022, "Nowcasting tail risk to economic activity at a weekly frequency," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 37, issue 5, pages 843-866, August, DOI: 10.1002/jae.2903.
• Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2022, "How is machine learning useful for macroeconomic forecasting?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 37, issue 5, pages 920-964, August, DOI: 10.1002/jae.2910.
• Na Guo & Bo Zhang & Jamie L. Cross, 2022, "Time‐varying trend models for forecasting inflation in Australia," Journal of Forecasting, John Wiley & Sons, Ltd., volume 41, issue 2, pages 316-330, March, DOI: 10.1002/for.2814.
• Caroline Jardet & Baptiste Meunier, 2022, "Nowcasting world GDP growth with high‐frequency data," Journal of Forecasting, John Wiley & Sons, Ltd., volume 41, issue 6, pages 1181-1200, September, DOI: 10.1002/for.2858.
• Joshua C. C. Chan, 2022, "Asymmetric conjugate priors for large Bayesian VARs," Quantitative Economics, Econometric Society, volume 13, issue 3, pages 1145-1169, July, DOI: 10.3982/QE1381.
• Nyholm, Juho & Silvo, Aino, 2022, "A model for predicting Finnish household loan stocks," BoF Economics Review, Bank of Finland, number 4/2022.
• Aikman, David & Drehmann, Mathias & Juselius, Mikael & Xing, Xiaochuan, 2022, "The scarring effects of deep contractions," Bank of Finland Research Discussion Papers, Bank of Finland, number 12/2022.
• Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2022, "Addressing COVID-19 outliers in BVARs with stochastic volatility," Discussion Papers, Deutsche Bundesbank, number 13/2022.
• Berger, Tino & Ochsner, Christian, 2022, "Robust real-time estimates of the German output gap based on a multivariate trend-cycle decomposition," Discussion Papers, Deutsche Bundesbank, number 35/2022.
• Benchimol, Jonathan & El-Shagi, Makram & Saadon, Yossi, 2022, "Do expert experience and characteristics affect inflation forecasts?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, volume 201, pages 205-226.
• Hauber, Philipp, 2022, "Real-time nowcasting with sparse factor models," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 251551.
• Meyer-Gohde, Alexander & Shabalina, Ekaterina, 2022, "Estimation and forecasting using mixed-frequency DSGE models," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 175.
• Heinisch, Katja & Holtemöller, Oliver & Lindner, Axel & Sardone, Alessandro & Zeddies, Götz, 2022, "Wirtschaftswachstum, Staatsfinanzen und Treibhausgas-Emissionen in der mittleren Frist," Konjunktur aktuell, Halle Institute for Economic Research (IWH), volume 10, issue 4, pages 146-151.
• Holtemöller, Oliver & Lindner, Axel & Schult, Christoph, 2022, "Regionale Effekte einer durch einen Lieferstopp für russisches Gas ausgelösten Rezession in Deutschland," IWH Policy Notes, Halle Institute for Economic Research (IWH), number 1/2022.
• Heinisch, Katja & Lindner, Axel, 2022, "Ein neues Instrument für die Prognose der Wirtschaftsaktivität in Deutschland: Der PRIMA-Indikator," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), volume 28, issue 4, pages 78-82.
• Kunath, Gero & Matthes, Jürgen & Obst, Thomas, 2022, "Biden's economic agenda risks mid-term elections: An analysis of Biden's economic agenda and its effects on the American economy," IW-Reports, Institut der deutschen Wirtschaft (IW) / German Economic Institute, number 59/2022.
• Prüser, Jan & Blagov, Boris, 2022, "Improving inference and forecasting in VAR models using cross-sectional information," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 960, DOI: 10.4419/96973124.
• Shrub, Yuliya & Rieger, Jonas & Müller, Henrik & Jentsch, Carsten, 2022, "Text data rule - don't they? A study on the (additional) information of Handelsblatt data for nowcasting German GDP in comparison to established economic indicators," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 964, DOI: 10.4419/96973128.
• du Plessis, Emile & Fritsche, Ulrich, 2022, "New forecasting methods for an old problem: Predicting 147 years of systemic financial crises," WiSo-HH Working Paper Series, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory, number 67.
• Francesco Bianchi & Sydney C. Ludvigson & Sai Ma, 2022, "Belief Distortions and Macroeconomic Fluctuations," American Economic Review, American Economic Association, volume 112, issue 7, pages 2269-2315, July, DOI: 10.1257/aer.20201713.
• Michael Weber & Francesco D'Acunto & Yuriy Gorodnichenko & Olivier Coibion, 2022, "The Subjective Inflation Expectations of Households and Firms: Measurement, Determinants, and Implications," Journal of Economic Perspectives, American Economic Association, volume 36, issue 3, pages 157-184, Summer, DOI: 10.1257/jep.36.3.157.
• Vinícius Naves Andrade & João Gonçalves Silva Muntaser & Thiago Alberto dos Reis Prado, 2022, "Influência de variáveis macroeconômicas no preço das ações do setor financeiro da b3," Revista de Economia Mackenzie (REM), Mackenzie Presbyterian University, Social and Applied Sciences Center, volume 19, issue 1, pages 170-190, january-j, DOI: 10.5935/1808-2785/rem.v19n1p.170-19.
• Romani, Ilenia & Galeotti, Marzio & Lanza, Alessandro, , "Besides promising economic growth, will the Italian NRRP also produce fewer emissions?," FEEM Working Papers, Fondazione Eni Enrico Mattei (FEEM), number 319781, DOI: 10.22004/ag.econ.319781.
• Hasse, Jean-Baptiste & Lajaunie, Quentin, 2022, "Does the yield curve signal recessions? New evidence from an international panel data analysis," LIDAM Reprints LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2022004, May.
• Miklós Váry, 2022, "Do menu costs lead to hysteresis in aggregate output? The experiences of some agent-based simulations," Acta Oeconomica, Akadémiai Kiadó, Hungary, volume 72, issue 4, pages 499-529, December, DOI: 10.1556/032.2022.00033.
• J. Daniel Aromí & Martín Llada, 2022, "Forecasting inflation with Twitter," Documentos de trabajo del Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET), Universidad de Buenos Aires, Facultad de Ciencias Económicas, Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET), number 2022-76, Oct.
• Darío Ezequiel Díaz, 2022, "El Progreso social, el individualismo y el enfoque de capacidades: El rol de las estructuras sociales, grupos e instituciones," Revista de Economía Política de Buenos Aires, Universidad de Buenos Aires, Facultad de Ciencias Económicas, Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET), volume 16, issue 25, pages 9-36, October, DOI: https://doi.org/10.56503/repba.Nro..
• Nuno Goncalves, 2022, "Most probable or more prudent? Analysing CFP's macroeconomic projections, 2015-2019," CFP Occasional Papers, Portuguese Public Finance Council, number 02/2022, Apr.
• Ержан Ислам // Yerzhan Islam & Сейдахметов Ансар // Seidakhmetov Ansar, 2022, "Динамическая факторная модель инфляции для Казахстана // Dynamic Factor Model of Inflation for Kazakhstan," Working Papers, National Bank of Kazakhstan, number #2022-4.
• Emilie Jasova & Bozena Kaderabkova, 2022, "The effectiveness of government measures in the first wave of Covid-19 pandemic," International Journal of Economic Sciences, European Research Center, volume 11, issue 1, pages 19-36, April.
• Joshua C. C. Chan, 2022, "Large Hybrid Time-Varying Parameter VARs," Papers, arXiv.org, number 2201.07303, Jan, revised Jun 2022.
• Victor Olkhov, 2022, "Market-Based Price Autocorrelation," Papers, arXiv.org, number 2202.09323, Feb, revised Feb 2024.
• Victor Olkhov, 2022, "Market-Based Asset Price Probability," Papers, arXiv.org, number 2205.07256, May, revised Jan 2026.
• Emanuel Kohlscheen, 2022, "What does machine learning say about the drivers of inflation?," Papers, arXiv.org, number 2208.14653, Aug, revised Jan 2023.
• James T. E. Chapman & Ajit Desai, 2022, "Macroeconomic Predictions using Payments Data and Machine Learning," Papers, arXiv.org, number 2209.00948, Sep.
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• 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.
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• 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.
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