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

2023

• Jesús Fernández-Villaverde & Isaiah Hull, 2023, "Dynamic Programming on a Quantum Annealer: Solving the RBC Model," CESifo Working Paper Series, CESifo, number 10500.
• Christina Anderl & Guglielmo Maria Caporale, 2023, "Shipping Cost Uncertainty, Endogenous Regime Switching and the Global Drivers of Inflation," CESifo Working Paper Series, CESifo, number 10798.
• Frantisek Brazdik & Karel Musil & Stanislav Tvrz, 2023, "Implementing Yield Curve Control Measures into the CNB Core Forecasting Model," Working Papers, Czech National Bank, Research and Statistics Department, number 2023/8, Aug.
• Masaru INABA & Kengo NUTAHARA & Daichi SHIRAI, 2024, "Sources of Inequality and Business Cycles: Evidence from the US and Japan," CIGS Working Paper Series, The Canon Institute for Global Studies, number 23-006E, Dec.
• Faccini, Renato & Melosi, Leonardo, 2023, "Job-to-Job Mobility and Inflation," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 17829, Jan.
• Kochugovindan, Sree & Lawson, Jeremy, 2023, "Post Pandemic Phillips Curves: Cyclical and Structural Drivers in the Great Policy Trade Off," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 17974, Mar.
• Goodhart, Charles & Pradhan, Manoj, 2023, "A Snapshot of Central Bank (two year) Forecasting: A Mixed Picture," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18043, Mar.
• Kilic Celik, Sinem & Kose, M. Ayhan & Ohnsorge, Franziska & Ruch, Franz, 2023, "Potential Growth: A Global Database," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18061, Apr.
• Kilic Celik, Sinem & Kose, M. Ayhan & Ohnsorge, Franziska, 2023, "Potential Growth Prospects: Risks, Rewards, and Policies," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18062, Apr.
• Fernández-Villaverde, Jesús & Hull, Isaiah, 2023, "Dynamic Programming on a Quantum Annealer: Solving the RBC Model," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18190, Jun.
• Kose, M. Ayhan & Ohnsorge, Franziska, 2023, "Slowing Growth: More Than a Rough Patch," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18226, Jun.
• Born, Benjamin & Enders, Zeno & Müller, Gernot, 2023, "On FIRE, news, and expectations," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18259, Jul.
• Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023, "Density forecasts of inflation: a quantile regression forest approach," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18298, Jul.
• Acharya, Sushant & Chen, William & Del Negro, Marco & Dogra, Keshav & Gleich, Aidan & Goyal, Shlok & Matlin, Ethan & Lee, Donggyu & Sarfati, Reca & Sengupta, Sikata, 2023, "Estimating HANK for Central Banks," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18407, Aug.
• Sailesh BHAGHOE & Gavin OOFT, 2023, "Nowcasting quarterly GDP growth in Suriname with factor-MIDAS and mixed-frequency VAR models," Journal of Economics and Political Economy, EconSciences Journals, volume 10, issue 1, pages 1-18, March.
• Bańkowski, Krzysztof & Bouabdallah, Othman & Checherita-Westphal, Cristina & Freier, Maximilian & Jacquinot, Pascal & Muggenthaler-Gerathewohl, Philip, 2023, "Fiscal policy and high inflation," Economic Bulletin Articles, European Central Bank, volume 2.
• De Santis, Roberto A. & Stoevsky, Grigor, 2023, "The role of supply and demand in the post-pandemic recovery in the euro area," Economic Bulletin Articles, European Central Bank, volume 4.
• Rubene, Ieva, 2023, "Indicators for producer price pressures in consumer goods inflation," Economic Bulletin Boxes, European Central Bank, volume 3.
• Bodnár, Katalin & Mohr, Matthias, 2023, "The development of the wage share in the euro area since the start of the pandemic," Economic Bulletin Boxes, European Central Bank, volume 4.
• Georgarakos, Dimitris & Kenny, Geoff & Meyer, Justus, 2023, "Recent changes in consumers’ medium-term inflation expectations – a detailed look," Research Bulletin, European Central Bank, volume 104.
• Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023, "Forecasting euro area inflation with machine-learning models," Research Bulletin, European Central Bank, volume 112.
• Warne, Anders, 2023, "DSGE model forecasting: rational expectations vs. adaptive learning," Working Paper Series, European Central Bank, number 2768, Jan.
• Mazelis, Falk & Motto, Roberto & Ristiniemi, Annukka, 2023, "Monetary policy strategies for the euro area: optimal rules in the presence of the ELB," Working Paper Series, European Central Bank, number 2797, Mar.
• Lang, Jan Hannes & Rusnák, Marek & Greiwe, Moritz, 2023, "Medium-term growth-at-risk in the euro area," Working Paper Series, European Central Bank, number 2808, Apr.
• Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023, "Nowcasting employment in the euro area," Working Paper Series, European Central Bank, number 2815, May.
• Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023, "Density forecasts of inflation: a quantile regression forest approach," Working Paper Series, European Central Bank, number 2830, Jul.
• Chavleishvili, Sulkhan & Kremer, Manfred & Lund-Thomsen, Frederik, 2023, "Quantifying financial stability trade-offs for monetary policy: a quantile VAR approach," Working Paper Series, European Central Bank, number 2833, Jul.
• Chinn, Menzie D. & Meunier, Baptiste & Stumpner, Sebastian, 2023, "Nowcasting world trade with machine learning: a three-step approach," Working Paper Series, European Central Bank, number 2836, Aug.
• Budnik, Katarzyna & Groß, Johannes & Vagliano, Gianluca & Dimitrov, Ivan & Lampe, Max & Panos, Jiri & Velasco, Sofia & Boucherie, Louis & Jančoková, Martina, 2023, "BEAST: A model for the assessment of system-wide risks and macroprudential policies," Working Paper Series, European Central Bank, number 2855, Oct.
• Valeriy Kozytskyy & Marianna Oliskevych & Galyna Beregova & Nelya Pabyrivska, 2023, "Output and Energy Prices Fluctuations in Response to Market Shocks: System Dynamic Modeling," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 2, pages 462-466, March.
• Ahn, JaeBin & Lee, Jiwon, 2023, "The role of import prices in flattening the Phillips curve: Evidence from Korea," Journal of Asian Economics, Elsevier, volume 86, issue C, DOI: 10.1016/j.asieco.2023.101605.
• Jørgensen, Peter Lihn, 2023, "The global savings glut and the housing boom," Journal of Economic Dynamics and Control, Elsevier, volume 146, issue C, DOI: 10.1016/j.jedc.2022.104563.
• Shintani, Mototsugu & Ueda, Kozo, 2023, "Identifying the source of information rigidities in the expectations formation process," Journal of Economic Dynamics and Control, Elsevier, volume 150, issue C, DOI: 10.1016/j.jedc.2023.104653.
• Kawamoto, Takuji & Nakazawa, Takashi & Kishaba, Yui & Matsumura, Kohei & Nakajima, Jouchi, 2023, "Estimating the macroeconomic effects of Japan’s expansionary monetary policy under Quantitative and Qualitative Monetary Easing during 2013–2020," Economic Analysis and Policy, Elsevier, volume 78, issue C, pages 208-224, DOI: 10.1016/j.eap.2023.03.007.
• Audzei, Volha, 2023, "Learning and cross-country correlations in a multi-country DSGE model," Economic Modelling, Elsevier, volume 120, issue C, DOI: 10.1016/j.econmod.2022.106142.
• Walmsley, Terrie & Rose, Adam & John, Richard & Wei, Dan & Hlávka, Jakub P. & Machado, Juan & Byrd, Katie, 2023, "Macroeconomic consequences of the COVID-19 pandemic," Economic Modelling, Elsevier, volume 120, issue C, DOI: 10.1016/j.econmod.2022.106147.
• Zhang, Qin & Ni, He & Xu, Hao, 2023, "Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms," Economic Modelling, Elsevier, volume 122, issue C, DOI: 10.1016/j.econmod.2023.106204.
• An, Zidong & Zheng, Xinye, 2023, "Diligent forecasters can make accurate predictions despite disagreeing with the consensus," Economic Modelling, Elsevier, volume 125, issue C, DOI: 10.1016/j.econmod.2023.106372.
• Mattera, Raffaele & Franses, Philip Hans, 2023, "Are African business cycles synchronized? Evidence from spatio-temporal modeling," Economic Modelling, Elsevier, volume 128, issue C, DOI: 10.1016/j.econmod.2023.106485.
• Qadan, Mahmoud & Shuval, Kerem & David, Or, 2023, "Uncertainty about interest rates and the real economy," The North American Journal of Economics and Finance, Elsevier, volume 68, issue C, DOI: 10.1016/j.najef.2023.101978.
• Pierdzioch, Christian, 2023, "A bootstrap-based efficiency test of growth and inflation forecasts for Germany," Economics Letters, Elsevier, volume 224, issue C, DOI: 10.1016/j.econlet.2023.111029.
• Cepni, Oguzhan & Christou, Christina & Gupta, Rangan, 2023, "Forecasting national recessions of the United States with state-level climate risks: Evidence from model averaging in Markov-switching models," Economics Letters, Elsevier, volume 227, issue C, DOI: 10.1016/j.econlet.2023.111121.
• Winkelried, Diego, 2023, "Simple interpolations of inflation expectations," Economics Letters, Elsevier, volume 229, issue C, DOI: 10.1016/j.econlet.2023.111230.
• Eo, Yunjong & Morley, James, 2023, "Does the Survey of Professional Forecasters help predict the shape of recessions in real time?," Economics Letters, Elsevier, volume 233, issue C, DOI: 10.1016/j.econlet.2023.111419.
• Huber, Florian & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2023, "Nowcasting in a pandemic using non-parametric mixed frequency VARs," Journal of Econometrics, Elsevier, volume 232, issue 1, pages 52-69, DOI: 10.1016/j.jeconom.2020.11.006.
• Casarin, Roberto & Grassi, Stefano & Ravazzolo, Francesco & van Dijk, Herman K., 2023, "A flexible predictive density combination for large financial data sets in regular and crisis periods," Journal of Econometrics, Elsevier, volume 237, issue 2, DOI: 10.1016/j.jeconom.2022.11.004.
• de Mendonça, Helder Ferreira & Simão Filho, José & Abreu, Vanessa Castro, 2023, "Central bank’s forecasts and lack of transparency: An assessment of the effect on private expectations in a large emerging economy," Economic Systems, Elsevier, volume 47, issue 2, DOI: 10.1016/j.ecosys.2022.101035.
• Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023, "Economic forecasting with an agent-based model," European Economic Review, Elsevier, volume 151, issue C, DOI: 10.1016/j.euroecorev.2022.104306.
• Liao, Shian-Yu & Chen, Been-Lon, 2023, "News shocks to investment-specific technology in business cycles," European Economic Review, Elsevier, volume 152, issue C, DOI: 10.1016/j.euroecorev.2022.104363.
• Neri, Stefano, 2023, "Long-term inflation expectations and monetary policy in the euro area before the pandemic," European Economic Review, Elsevier, volume 154, issue C, DOI: 10.1016/j.euroecorev.2023.104426.
• Degiannakis, Stavros & Filis, George, 2023, "Oil price assumptions for macroeconomic policy," Energy Economics, Elsevier, volume 117, issue C, DOI: 10.1016/j.eneco.2022.106425.
• Garratt, Anthony & Petrella, Ivan & Zhang, Yunyi, 2023, "Asymmetry and interdependence when evaluating U.S. Energy Information Administration forecasts," Energy Economics, Elsevier, volume 121, issue C, DOI: 10.1016/j.eneco.2023.106620.
• Zheng, Tingguo & Gong, Lu & Ye, Shiqi, 2023, "Global energy market connectedness and inflation at risk," Energy Economics, Elsevier, volume 126, issue C, DOI: 10.1016/j.eneco.2023.106975.
• Li, Yan & Huynh, Luu Duc Toan & Xu, Yongan & Liang, Hao, 2023, "The forecast ability of a belief-based momentum indicator in full-day, daytime, and nighttime volatilities of Chinese oil futures," Energy Economics, Elsevier, volume 127, issue PB, DOI: 10.1016/j.eneco.2023.107064.
• Sabes, David & Sahuc, Jean-Guillaume, 2023, "Do yield curve inversions predict recessions in the euro area?," Finance Research Letters, Elsevier, volume 52, issue C, DOI: 10.1016/j.frl.2022.103416.
• Diaz, Elena Maria & Cunado, Juncal & de Gracia, Fernando Perez, 2023, "Commodity price shocks, supply chain disruptions and U.S. inflation," Finance Research Letters, Elsevier, volume 58, issue PC, DOI: 10.1016/j.frl.2023.104495.
• Benchimol, Jonathan & Bounader, Lahcen, 2023, "Optimal monetary policy under bounded rationality," Journal of Financial Stability, Elsevier, volume 67, issue C, DOI: 10.1016/j.jfs.2023.101151.
• Cavallo, Alberto & Kryvtsov, Oleksiy, 2023, "What can stockouts tell us about inflation? Evidence from online micro data," Journal of International Economics, Elsevier, volume 146, issue C, DOI: 10.1016/j.jinteco.2023.103769.
• Diakonova, Marina & Ghirelli, Corinna & Molina, Luis & Pérez, Javier J., 2023, "The economic impact of conflict-related and policy uncertainty shocks: The case of Russia," International Economics, Elsevier, volume 174, issue C, pages 69-90, DOI: 10.1016/j.inteco.2023.03.002.
• Bańbura, Marta & Bobeica, Elena, 2023, "Does the Phillips curve help to forecast euro area inflation?," International Journal of Forecasting, Elsevier, volume 39, issue 1, pages 364-390, DOI: 10.1016/j.ijforecast.2021.12.001.
• Barkan, Oren & Benchimol, Jonathan & Caspi, Itamar & Cohen, Eliya & Hammer, Allon & Koenigstein, Noam, 2023, "Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks," International Journal of Forecasting, Elsevier, volume 39, issue 3, pages 1145-1162, DOI: 10.1016/j.ijforecast.2022.04.009.
• Kohns, David & Bhattacharjee, Arnab, 2023, "Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model," International Journal of Forecasting, Elsevier, volume 39, issue 3, pages 1384-1412, DOI: 10.1016/j.ijforecast.2022.05.002.
• Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2023, "Testing big data in a big crisis: Nowcasting under Covid-19," International Journal of Forecasting, Elsevier, volume 39, issue 4, pages 1548-1563, DOI: 10.1016/j.ijforecast.2022.10.005.
• Knotek, Edward S. & Zaman, Saeed, 2023, "Real-time density nowcasts of US inflation: A model combination approach," International Journal of Forecasting, Elsevier, volume 39, issue 4, pages 1736-1760, DOI: 10.1016/j.ijforecast.2022.04.007.
• Čapek, Jan & Crespo Cuaresma, Jesús & Hauzenberger, Niko & Reichel, Vlastimil, 2023, "Macroeconomic forecasting in the euro area using predictive combinations of DSGE models," International Journal of Forecasting, Elsevier, volume 39, issue 4, pages 1820-1838, DOI: 10.1016/j.ijforecast.2022.09.002.
• Magnus, Jan R. & Vasnev, Andrey L., 2023, "On the uncertainty of a combined forecast: The critical role of correlation," International Journal of Forecasting, Elsevier, volume 39, issue 4, pages 1895-1908, DOI: 10.1016/j.ijforecast.2022.10.002.
• Carrière-Swallow, Yan & Deb, Pragyan & Furceri, Davide & Jiménez, Daniel & Ostry, Jonathan D., 2023, "Shipping costs and inflation," Journal of International Money and Finance, Elsevier, volume 130, issue C, DOI: 10.1016/j.jimonfin.2022.102771.
• Biolsi, Christopher, 2023, "Do the Hamilton and Beveridge–Nelson filters provide the same information about output gaps? An empirical comparison for practitioners," Journal of Macroeconomics, Elsevier, volume 75, issue C, DOI: 10.1016/j.jmacro.2022.103496.
• Liu, Zhenya & Teka, Hanen & You, Rongyu, 2023, "Conditional autoencoder pricing model for energy commodities," Resources Policy, Elsevier, volume 86, issue PA, DOI: 10.1016/j.resourpol.2023.104060.
• Hardy, Nicolás & Ferreira, Tiago & Quinteros, Maria J. & Magner, Nicolás S., 2023, "“Watch your tone!”: Forecasting mining industry commodity prices with financial report tone," Resources Policy, Elsevier, volume 86, issue PA, DOI: 10.1016/j.resourpol.2023.104251.
• Harding, Martín & Lindé, Jesper & Trabandt, Mathias, 2023, "Understanding post-COVID inflation dynamics," Journal of Monetary Economics, Elsevier, volume 140, issue S, pages 101-118, DOI: 10.1016/j.jmoneco.2023.05.012.
• Ferrante, Francesco & Graves, Sebastian & Iacoviello, Matteo, 2023, "The inflationary effects of sectoral reallocation," Journal of Monetary Economics, Elsevier, volume 140, issue S, pages 64-81, DOI: 10.1016/j.jmoneco.2023.03.003.
• Bui, Dzung & Dräger, Lena & Hayo, Bernd & Nghiem, Giang, 2023, "Macroeconomic expectations and consumer sentiment during the COVID-19 pandemic: The role of others’ beliefs," European Journal of Political Economy, Elsevier, volume 77, issue C, DOI: 10.1016/j.ejpoleco.2022.102295.
• Lecca, Patrizio & Persyn, Damiaan & Sakkas, Stelios, 2023, "Capital-skill complementarity and regional inequality: A spatial general equilibrium analysis," Regional Science and Urban Economics, Elsevier, volume 102, issue C, DOI: 10.1016/j.regsciurbeco.2023.103937.
• Orte, Francisco & Mira, José & Sánchez, María Jesús & Solana, Pablo, 2023, "A random forest-based model for crypto asset forecasts in futures markets with out-of-sample prediction," Research in International Business and Finance, Elsevier, volume 64, issue C, DOI: 10.1016/j.ribaf.2022.101829.
• Citera, Emanuele & Gouri Suresh, Shyam & Setterfield, Mark, 2023, "The network origins of aggregate fluctuations: A demand-side approach," Structural Change and Economic Dynamics, Elsevier, volume 64, issue C, pages 111-123, DOI: 10.1016/j.strueco.2022.12.005.
• Max Gillman & Adrian Pagan, 2023, "Investigating Cycle Anatomy," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-09, Feb.
• Ye Lu & Adrian Pagan, 2023, "To Boost or Not to Boost? That is the Question," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-12, Feb.
• Bonsoo Koo & Benjamin Wong & Ze-Yu Zhong, 2023, "Disentangling Structural Breaks in Factor Models for Macroeconomic Data," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-15, Mar, revised Nov 2025.
• Sinem Kilic Celik & M. Ayhan Kose & Franziska Ohnsorge, 2023, "Potential Growth Prospects: Risks, Rewards and Policies," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-19, Apr.
• Sinem Kilic Celik & M. Ayhan Kose & Franziska Ohnsorge & F. Ulrich Ruch, 2023, "Potential Growth: A Global Database," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-20, Apr.
• M. Ayhan Kose & Franziska Ohnsorge, 2023, "Slowing Growth: More Than a Rough Patch," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-23, May.
• Yunjong Eo & James Morley, 2023, "Does the Survey of Professional Forecasters Help Predict the Shape of Recessions in Real Time? ," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-24, May.
• Cesar Ramos, 2023, "Machine Learning Insights into Bolivia’s Economic Downturns," Cuadernos de Investigación Económica Boliviana, Ministerio de Economía y Finanzas Públicas de Bolivia, volume 6, issue 2, pages 5-33, December.
• Reis, Ricardo, 2023, "Four mistakes in the use of measures of expected inflation," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 118130, May.
• Goodhart, C. A. E. & Pradhan, Manoj, 2023, "A snapshot of Central Bank (two year) forecasting: a mixed picture," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 118680, Mar.
• Ibarra, Raul, 2023, "The yield spread as a predictor of economic activity in Mexico: the role of the term premium," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 120717, Oct.
• José Luis Oreiro & Julio Fernando Costa Santos, 2023, "The impossible quartet in a demand led growthsupermultiplier model for a small open economy," Brazilian Journal of Political Economy, Center of Political Economy, volume 43, issue 3, pages 592-618.
• Hamid Baghestani & Bassam M. AbuAl-Foul, 2023, "US unemployment rate: Federal Reserve versus private information," Journal of Economic Studies, Emerald Group Publishing Limited, volume 51, issue 5, pages 1093-1105, November, DOI: 10.1108/JES-05-2023-0273.
• Hardik Marfatia, 2023, "The financial market's ability to forecast economic growth: information from sectoral movements," Journal of Economic Studies, Emerald Group Publishing Limited, volume 50, issue 7, pages 1467-1484, January, DOI: 10.1108/JES-08-2022-0466.
• Magdalena Majchrzak & Aneta Ejsmont, 2023, "Competitiveness of Small and Medium-Sized Enterprisesin the German-Polish Border Area in Timesof Extraordinary Threats," European Research Studies Journal, European Research Studies Journal, volume 0, issue 1, pages 247-267.
• Pablo Pincheira-Brown & Nicolás Hardy & Cristobal Henrriquez & Ignacio Tapia & Andrea Bentancor, 2023, "Forecasting Base Metal Prices with an International Stock Index," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 73, issue 3, pages 277-302, October.
• Christopher D. Cotton & John O'Shea, 2023, "Forecasting CPI Shelter under Falling Market-Rent Growth," Current Policy Perspectives, Federal Reserve Bank of Boston, number 95664, Feb.
• Gary Koop & Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon & Ping Wu, 2023, "Incorporating Short Data into Large Mixed-Frequency VARs for Regional Nowcasting," Working Papers, Federal Reserve Bank of Cleveland, number 23-09, May, DOI: 10.26509/frbc-wp-202309.
• Kurt Graden Lunsford & Kenneth D. West, 2023, "Random Walk Forecasts of Stationary Processes Have Low Bias," Working Papers, Federal Reserve Bank of Cleveland, number 23-18, Aug, DOI: 10.26509/frbc-wp-202318.
• James Mitchell & Saeed Zaman, 2023, "The Distributional Predictive Content of Measures of Inflation Expectations," Working Papers, Federal Reserve Bank of Cleveland, number 23-31, Nov, DOI: 10.26509/frbc-wp-202331.
• Todd E. Clark & Matthew V. Gordon & Saeed Zaman, 2023, "Forecasting Core Inflation and Its Goods, Housing, and Supercore Components," Working Papers, Federal Reserve Bank of Cleveland, number 23-34, Dec, DOI: 10.26509/frbc-wp-202334.
• Michael T. Kiley, 2023, "Recession Signals and Business Cycle Dynamics: Tying the Pieces Together," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2023-008, Jan, DOI: 10.17016/FEDS.2023.008.
• Michael T. Kiley, 2023, "The Role of Wages in Trend Inflation: Back to the 1980s?," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2023-022, Apr, DOI: 10.17016/FEDS.2023.022.
• Bennett Schmanski & Chiara Scotti & Clara Vega, 2023, "Fed Communication, News, Twitter, and Echo Chambers," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2023-036, May, DOI: 10.17016/FEDS.2023.036.
• Colin Campbell & Anthony M. Diercks & Steven A. Sharpe & Daniel Soques, 2023, "The Swaps Strike Back: Evaluating Expectations of One-Year Inflation," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2023-061, Sep, DOI: 10.17016/FEDS.2023.061.
• Isabel Cairó & Hess T. Chung & Francesco Ferrante & Cristina Fuentes-Albero & Camilo Morales-Jimenez & Damjan Pfajfar, 2023, "Endogenous Labor Supply in an Estimated New-Keynesian Model: Nominal versus Real Rigidities," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2023-069, Nov, DOI: 10.17016/FEDS.2023.069.
• Kenneth Eva & Fabian Winkler, 2023, "A Comprehensive Empirical Evaluation of Biases in Expectation Formation," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2023-042, Jun, DOI: 10.17016/FEDS.2023.042.
• Francesco Ferrante & Sebastian Graves & Matteo Iacoviello, 2023, "The Inflationary Effects of Sectoral Reallocation," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1369, Feb, DOI: 10.17016/IFDP.2023.1369.
• Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023, "Lessons from Nowcasting GDP across the World," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1385, Dec, DOI: 10.17016/IFDP.2023.1385.
• Gadi Barlevy & Luojia Hu, 2023, "Unit Labor Costs and Inflation in the Non-Housing Service Sector," Chicago Fed Letter, Federal Reserve Bank of Chicago, volume 0, March.
• Renato Faccini & Leonardo Melosi, 2023, "Job-to-Job Mobility and Inflation," Working Paper Series, Federal Reserve Bank of Chicago, number WP 2023-03, Jan.
• Miguel Faria-e-Castro & Fernando Leibovici, 2023, "Artificial Intelligence and Inflation Forecasts," Working Papers, Federal Reserve Bank of St. Louis, number 2023-015, Jul, revised 26 Feb 2024, DOI: 10.20955/wp.2023.015.
• Sushant Acharya & William Chen & Marco Del Negro & Keshav Dogra & Aidan Gleich & Shlok Goyal & Donggyu Lee & Ethan Matlin & Reca Sarfati & Sikata Sengupta, 2023, "Estimating HANK for Central Banks," Staff Reports, Federal Reserve Bank of New York, number 1071, Aug, DOI: 10.59576/sr.1071.
• Fatima Mboup, 2023, "Economic Activity by Race," Working Papers, Federal Reserve Bank of Philadelphia, number 23-16, Aug, DOI: 10.21799/frbp.wp.2023.16.
• John O'Trakoun, 2023, "An Alternative Measure of Core Inflation: The Trimmed Persistence PCE Price Index," Working Paper, Federal Reserve Bank of Richmond, number 23-10, Nov.
• Boris I. Alekhin, 2023, "Interregional Differences in Inflation through the Prism of Ackley’s Theory," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 1, pages 8-25, February, DOI: 10.31107/2075-1990-2023-1-8-25.
• Tsukhlo Sergey, 2023, "Russian industry in 2022," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2023-1281, revised 2023.
• Barinova Vera & Zemtsov Stepan & Demidova Ksenia & Levakov P., 2023, "Business activity of small and medium-sized enterprises in Russia in the context of sanctions," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2023-1285, revised 2023.
• Andrey Polbin & Andrei Shumilov, 2023, "Forecasting inflation in Russia using a TVP model with Bayesian shrinkage," Working Papers, Gaidar Institute for Economic Policy, number wpaper-2023-1462, revised 2023.
• James T. E. Chapman & Ajit Desai, 2023, "Macroeconomic Predictions Using Payments Data and Machine Learning," Forecasting, MDPI, volume 5, issue 4, pages 1-32, November.
• Mihnea Constantinescu, 2023, "Sparse Warcasting," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 15-2023, Sep, revised 02 Oct 2023.
• Dimitris Korobilis & Maximilian Schröder, 2023, "Monitoring multicountry macroeconomic risk," Working Papers, Business School - Economics, University of Glasgow, number 2023_07, May.
• Pedro Bação & José Diogo Silva, 2023, "Inflation in Portugal Through the Lens of the Fair Model," Notas Económicas, Faculty of Economics, University of Coimbra, issue 57, pages 87-97, December, DOI: 10.14195/2183-203X_57_4.
• Oren Barkan & Jonathan Benchimol & Itamar Caspi & Eliya Cohen & Allon Hammer & Noam Koenigstein, 2023, "Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks," Post-Print, HAL, number emse-04624940, Jul, DOI: 10.1016/j.ijforecast.2022.04.009.
• Jonathan Benchimol & Lahcen Bounader, 2023, "Optimal monetary policy under bounded rationality," Post-Print, HAL, number emse-04624979, Aug, DOI: 10.1016/j.jfs.2023.101151.
• Jean-Guillaume Sahuc & David Sabes, 2023, "Do yield curve inversions predict recessions in the euro area?," Post-Print, HAL, number hal-03914540.
• Laurent Ferrara & Anna Simoni, 2023, "When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage," Post-Print, HAL, number hal-03919944, Oct, DOI: 10.1080/07350015.2022.2116025.
• Claire Alestra & Gilbert Cette & Valérie Chouard & Rémy Lecat, 2024, "How can technology significantly contribute to climate change mitigation?," Post-Print, HAL, number hal-04184412, DOI: 10.1080/00036846.2023.2227416.
• 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
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• 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]," Sciences Po Economics Publications (main), HAL, number hal-03661598, May, DOI: 10.3917/reco.742.0005.
• Claire Alestra & Gilbert Cette & Valérie Chouard & Rémy Lecat, 2023, "How can technology significantly contribute to climate change mitigation?," Working Papers, HAL, number hal-03924629, Jan.
• Suveg, Melinda, 2023, "The Working Capital Channel," Working Paper Series, Research Institute of Industrial Economics, number 1482, Dec, revised 18 Oct 2025.
• Edvinsson, Rodney & Karlsson, Sune & Österholm, Pär, 2023, "Does Money Growth Predict Inflation? Evidence from Vector Autoregressions Using Four Centuries of Data," Working Papers, Örebro University, School of Business, number 2023:3, Feb.
• Berger, Helge & Karlsson, Sune & Österholm, Pär, 2023, "A Note of Caution on the Relation between Money Growth and Inflation," Working Papers, Örebro University, School of Business, number 2023:9, Apr.
• KANO, Takashi, 2023, "Posterior Inferences on Incomplete Structural Models : The Minimal Econometric Interpretation," Discussion paper series, Hitotsubashi Institute for Advanced Study, Hitotsubashi University, number HIAS-E-128, Mar.
• NAKAJIMA, Jouchi & 中島, 上智, 2023, "Estimation of firms' inflation expectations using the survey DI," Discussion paper series, Hitotsubashi Institute for Advanced Study, Hitotsubashi University, number HIAS-E-131, Jul.
• 中島, 上智 & ナカジマ, ジョウチ, 2023, "短観ｄｉを用いた企業のインフレ予想の推計," Discussion Paper Series, Institute of Economic Research, Hitotsubashi University, number 744, Jul.
• NAKAJIMA, Jouchi, 2023, "Estimation of firms' inflation expectations using the survey DI," Discussion Paper Series, Institute of Economic Research, Hitotsubashi University, number 749, Dec.
• Ben Bernanke & Olivier J Blanchard, 2023, "What caused the US pandemic-era inflation?," Working Paper Series, Peterson Institute for International Economics, number WP23-4, Jun.
• Lutz Kilian & Nikos Nomikos & Xiaoqing Zhou, 2023, "Container Trade and the U.S. Recovery," International Journal of Central Banking, International Journal of Central Banking, volume 19, issue 1, pages 417-450, March.
• Ko Munakata & Takeshi Shinohara & Shigenori Shiratsuka & Nao Sudo & Tsutomu Watanabe, 2023, "On the Source of Seasonality in Price Changes: The Role of Seasonality in Menu Costs," IMES Discussion Paper Series, Institute for Monetary and Economic Studies, Bank of Japan, number 23-E-07, Nov.
• Martin Harding & Jesper Lindé & Mathias Trabandt, 2023, "Understanding Post-COVID Inflation Dynamics," IMF Working Papers, International Monetary Fund, number 2023/010, Jan.
• Mr. Helge Berger & Sune Karlsson & Pär Österholm, 2023, "A Note of Caution on the Relation Between Money Growth and Inflation," IMF Working Papers, International Monetary Fund, number 2023/137, Jun.
• Josué Alan Cantú Esquivel & Humberto Rios Bolivar & Ana Lorena Jiménez Preciado, 2023, "Causalidad y acoplamiento cíclico entre variables macroeconómicas en la conformación de crisis financieras," 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 18, issue 1, pages 1-28, Enero - M.
• Marc Burri, 2023, "Do daily lead texts help nowcasting GDP growth?," IRENE Working Papers, IRENE Institute of Economic Research, number 23-02, Jul.
• Siddhartha Chib & Minchul Shin & Fei Tan, 2023, "DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors," Computational Economics, Springer;Society for Computational Economics, volume 61, issue 1, pages 69-111, January, DOI: 10.1007/s10614-021-10200-y.
• Klaus Weyerstrass & Rijad Kovac, 2023, "Fiscal policies in the Federation of Bosnia and Herzegovina: are spending or revenue measures more effective?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, volume 50, issue 1, pages 173-206, February, DOI: 10.1007/s10663-022-09562-9.
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• Dongchul Cho & Wankeun Oh, 2023, "Predictive Abilities of Inflation Expectations and Implications on Monetary Policy in Korea," Korean Economic Review, Korean Economic Association, volume 39, pages 257-276.
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• Sinem Kilic Celik & M. Ayhan Kose & Franziska Ohnsorge, 2023, "Potential Growth Prospects: Risks, Rewards, and Policies," Koç University-TUSIAD Economic Research Forum Working Papers, Koc University-TUSIAD Economic Research Forum, number 2303, Apr.
• M. Ayhan Kose & Franziska Ohnsorge, 2023, "Slowing Growth: More Than a Rough Patch," Koç University-TUSIAD Economic Research Forum Working Papers, Koc University-TUSIAD Economic Research Forum, number 2304, May.
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• Klaus Abberger & Yngve Abrahamsen & Marc Anderes & Maurizio Daniele & Thomas Domjahn & Michael Graff & Philipp Kronenberg & Isabel Martinez & Heiner Mikosch & Nina Mühlebach & Alexis Perakis & Tim Rei, 2023, "Konjunkturanalyse: Prognose 2023 / 2024. Starke Beschäftigung trifft auf stockende Wirtschaft," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 17, issue 2, pages 1-26, June, DOI: 10.3929/ethz-b-000620384.
• Jan-Egbert Sturm & Alexander Rathke & Klaus Abberger & Maurizio Daniele & Michael Graff & Philipp Kronenberg & Isabel Martinez & Heiner Mikosch & Nina Mühlebach & Alexis Perakis & Tim Reinicke & Samad, 2023, "Konjunkturanalyse: Prognose 2024 / 2025. Schweizer Konjunktur: Binnenwirtschaft stützt – Aussenhandel schwächelt," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 17, issue 3, pages 1-70, September, DOI: 10.3929/ethz-b-000633927.
• Moira Ohaco, 2023, "Registración del servicio doméstico: Evaluación de impacto de una política de difusión dirigida a empleadores," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, volume 69, pages 86-121, January-D, DOI: 10.24215/18521649e032.
• Idoia Aguirre & Miguel Casares, 2023, "The post-covid inflation episode," Documentos de Trabajo - Lan Gaiak Departamento de Economía - Universidad Pública de Navarra, Departamento de Economía - Universidad Pública de Navarra, number 2301.
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• Kumar, Anshul, 2023, "A basic two-sector new Keynesian DSGE model of the Indian economy," MPRA Paper, University Library of Munich, Germany, number 115863, Jan.
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• Kilic Celic, Sinem & Kose, M. Ayhan & Ohnsorge, Franziska, 2023, "Potential Growth Prospects: Risks, Rewards, and Policies," MPRA Paper, University Library of Munich, Germany, number 116905, Mar.
• Medina, Juan Pablo & Toni, Emiliano & Valdes, Rodrigo, 2023, "The Art and Science of Monetary and Fiscal Policies in Chile," MPRA Paper, University Library of Munich, Germany, number 117198, Apr, revised 28 Apr 2023.
• Kose, M. Ayhan & Ohnsorge, Franziska, 2023, "Slowing Growth: More than a rough Patch," MPRA Paper, University Library of Munich, Germany, number 117327, May.
• Saccal, Alessandro, 2023, "A role for confidence: volition regimes and news," MPRA Paper, University Library of Munich, Germany, number 117484, May.
• Frank, Luis, 2023, "Revisión del traslado a precios de la devaluación del tipo de cambio oficial durante el per\'iodo 2017-2023 en Argentina
  [Review of the devaluation of the official exchange rate pass-through to pri," MPRA Paper, University Library of Munich, Germany, number 117904, Jul.
• Olkhov, Victor, 2023, "Economic complexity limits accuracy of price probability predictions by gaussian distributions," MPRA Paper, University Library of Munich, Germany, number 118373, Aug.
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• Polbin, Andrey & Shumilov, Andrei, 2023, "Прогнозирование Инфляции В России С Помощью Tvp-Модели С Байесовским Сжатием Параметров
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• Olkhov, Victor, 2023, "Economic Theory as Successive Approximations of Statistical Moments," MPRA Paper, University Library of Munich, Germany, number 118722, Sep.
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• Afees A. Salisu & Riza Demirer & Rangan Gupta, 2023, "Technological Shocks and Stock Market Volatility Over a Century: A GARCH-MIDAS Approach," Working Papers, University of Pretoria, Department of Economics, number 202308, Apr.
• Jiří Pour, 2023, "Ceny nemovitostí a dlouhodobé úrokové sazby
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• António Rua & Nuno Lourenço & João Quelhas, 2023, "Navigating with a compass: Charting the course of underlying inflation," Working Papers, Banco de Portugal, Economics and Research Department, number w202317.
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• Aguirre, John & Arrieta, Johar & Castillo, Luis E. & Florián, David & Ledesma, Alan & Martinez, Jefferson & Morales, Valeria & Vélez, Amilcar, 2023, "Modelo de Proyección Trimestral: Una Actualización Hasta 2019," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 42, pages 9-58.
• Michael P. Clements & Shixuan Wang, 2023, "Do Professional Forecasters' Phillips Curves Incorporate the Beliefs of Others?," Economics Discussion Papers, Department of Economics, University of Reading, number em-dp2023-05, Feb.
• Ivan Stankevich, 2023, "Application of Markov-Switching MIDAS models to nowcasting of GDP and its components," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 70, pages 122-143.
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  [Помогают Ли Инфляционные Ожидания Прогнозировать Инфляцию В Российской Экономике?]," Working Papers, Russian Presidential Academy of National Economy and Public Administration, number w202333.
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