Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting with DSGE Models
2. Forecasting

2024

• Bischof, Stephan, 2024, "Test-based measurement of skill mismatch: a validation of five different measurement approaches using the NEPS," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], volume 58, issue , pages 1-011, DOI: 10.1186/s12651-024-00370-1.
• Arranz, José María & García-Serrano, Carlos, 2024, "You'll never seek alone: The impact of active labour market policies on finding a job," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], volume 58, issue , pages 1-020, DOI: 10.1186/s12651-024-00378-7.
• Bjarni G. Einarsson, 2024, "Online Monitoring of Policy Optimality," Economics, Department of Economics, Central bank of Iceland, number wp95, Apr.
• Gabriel, Stefan & Kunst, Robert M., 2024, "Cointegrated portfolios and volatility modeling in the cryptocurrency market," IHS Working Paper Series, Institute for Advanced Studies, number 52, Mar.
• Erwis Melchor Pérez & Moisés Emmanuel Ramírez Guzmán & Araceli Hernández Jiménez & Agustín Santiago Alvarado, 2024, "Predicción del riesgo crediticio a microfinanciera usando aprendizaje computacional," 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 19, issue 4, pages 1-16, Octubre -.
• Daniel Borup & Jonas N. Eriksen & Mads M. Kjær & Martin Thyrsgaard, 2024, "Predicting Bond Return Predictability," Management Science, INFORMS, volume 70, issue 2, pages 931-951, February, DOI: 10.1287/mnsc.2023.4713.
• Ahrens, Achim & Hansen, Christian B. & Schaffer, Mark E & Wiemann, Thomas, 2024, "Model Averaging and Double Machine Learning," IZA Discussion Papers, IZA Network @ LISER, number 16714, Jan.
• Ali Mehrabani & Shahnaz Parsaeian & Aman Ullah, 2024, "Shrinkage Estimation and Forecasting in Dynamic Regression Models under Structural Instability," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202410, Aug.
• Ali Mehrabani, 2024, "Stein-Like Shrinkage Estimators for Coefficients of a Single-Equation in Simultaneous Equation Systems," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202414, Oct.
• Charles Guy Njike Leunga & Donatien Hainaut, 2024, "Affine Heston model style with self-exciting jumps and long memory," Annals of Finance, Springer, volume 20, issue 1, pages 1-43, March, DOI: 10.1007/s10436-023-00436-z.
• Rachid Belhachemi, 2024, "Option Valuation with Conditional Heteroskedastic Hidden Truncation Models," Computational Economics, Springer;Society for Computational Economics, volume 63, issue 6, pages 2585-2601, June, DOI: 10.1007/s10614-023-10480-6.
• Carlos A. Abanto-Valle & Gabriel Rodríguez & Luis M. Castro Cepero & Hernán B. Garrafa-Aragón, 2024, "Approximate Bayesian Estimation of Stochastic Volatility in Mean Models Using Hidden Markov Models: Empirical Evidence from Emerging and Developed Markets," Computational Economics, Springer;Society for Computational Economics, volume 64, issue 3, pages 1775-1801, September, DOI: 10.1007/s10614-023-10490-4.
• Jinshun Wu & Luyao Wu, 2024, "Bayesian Local Likelihood Estimation of Time-Varying DSGE Models: Allowing for Indeterminacy," Computational Economics, Springer;Society for Computational Economics, volume 64, issue 4, pages 2437-2476, October, DOI: 10.1007/s10614-023-10478-0.
• Sharif Mozumder & Mohammad Zoynul Abedin & Raad Lalon & Amjad Hossain, 2024, "Which User-Friendly Model is the Best for BASEL-III? An Emerging Market Study," Computational Economics, Springer;Society for Computational Economics, volume 64, issue 5, pages 3049-3086, November, DOI: 10.1007/s10614-023-10545-6.
• Mark T. Plaat & Laura Spierdijk, 2024, "Do Different Bank-Level Securitization Variables Measure The Same Thing? A Confirmatory Factor Analysis," De Economist, Springer, volume 172, issue 4, pages 339-363, December, DOI: 10.1007/s10645-024-09439-1.
• Dejan Glavas, 2024, "Determinants of CO2 Emissions: A Machine Learning Approach," International Advances in Economic Research, Springer;International Atlantic Economic Society, volume 30, issue 2, pages 215-217, May, DOI: 10.1007/s11294-024-09892-3.
• Kevin Credit & Matthew Lehnert, 2024, "A structured comparison of causal machine learning methods to assess heterogeneous treatment effects in spatial data," Journal of Geographical Systems, Springer, volume 26, issue 4, pages 483-510, October, DOI: 10.1007/s10109-023-00413-0.
• Batuhan Kilic & Onur Can Bayrak & Fatih Gülgen & Mert Gurturk & Perihan Abay, 2024, "Unveiling the impact of machine learning algorithms on the quality of online geocoding services: a case study using COVID-19 data," Journal of Geographical Systems, Springer, volume 26, issue 4, pages 601-622, October, DOI: 10.1007/s10109-023-00435-8.
• Emre Tepe, 2024, "A random forests-based hedonic price model accounting for spatial autocorrelation," Journal of Geographical Systems, Springer, volume 26, issue 4, pages 511-540, October, DOI: 10.1007/s10109-024-00449-w.
• Raffaele Marchi & Alessandro Moro, 2024, "Forecasting Fiscal Crises in Emerging Markets and Low-Income Countries with Machine Learning Models," Open Economies Review, Springer, volume 35, issue 1, pages 189-213, February, DOI: 10.1007/s11079-023-09722-9.
• David Meenagh & Patrick Minford & Yongdeng Xu, 2024, "Indirect Inference and Small Sample Bias — Some Recent Results," Open Economies Review, Springer, volume 35, issue 2, pages 245-259, April, DOI: 10.1007/s11079-023-09731-8.
• Günter J. Hitsch & Sanjog Misra & Walter W. Zhang, 2024, "Heterogeneous treatment effects and optimal targeting policy evaluation," Quantitative Marketing and Economics (QME), Springer, volume 22, issue 2, pages 115-168, June, DOI: 10.1007/s11129-023-09278-5.
• Alessandro Bitetto & Paola Cerchiello & Stefano Filomeni & Alessandra Tanda & Barbara Tarantino, 2024, "Can we trust machine learning to predict the credit risk of small businesses?," Review of Quantitative Finance and Accounting, Springer, volume 63, issue 3, pages 925-954, October, DOI: 10.1007/s11156-024-01278-0.
• Joseph Briggs & Andrew Chaplin & Soeren Leth-Petersen & Christopher Tonetti, 2024, "Identification of Marginal Treatment Effects using Subjective Expectations," CEBI working paper series, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI), number 24-06, Apr.
• Nikunj Patel & Aakruti Patel & Bhavesh Patel, 2024, "The Role of Institutional Investors in The Indian Stock Markets During the Pandemic," Capital Markets Review, Malaysian Finance Association, volume 32, issue 1, pages 75-99.
• Minsu Chang & Frank Schorfheide, 2024, "On the Effects of Monetary Policy Shocks on Income and Consumption Heterogeneity," NBER Working Papers, National Bureau of Economic Research, Inc, number 32166, Feb.
• Joseph S. Briggs & Andrew Caplin & Søren Leth-Petersen & Christopher Tonetti, 2024, "Identification of Marginal Treatment Effects using Subjective Expectations," NBER Working Papers, National Bureau of Economic Research, Inc, number 32309, Apr.
• Christiane Baumeister & Florian Huber & Thomas K. Lee & Francesco Ravazzolo, 2024, "Forecasting Natural Gas Prices in Real Time," NBER Working Papers, National Bureau of Economic Research, Inc, number 33156, Nov.
• M. Lenza & I. Moutachaker & I. Moutachaker, 2024, "Density forecasts of inflation : a quantile regression forest approach," Documents de Travail de l'Insee - INSEE Working Papers, Institut National de la Statistique et des Etudes Economiques, number 2024-12.
• Vessela Dimitrova, 2024, "Hidden Economy in Bulgaria Estimated by the MIMIC Approach," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 4, pages 35-51, December.
• Jian Chen & Michael P Clements & Andrew Urquhart, 2024, "Modeling Price and Variance Jump Clustering Using the Marked Hawkes Process," Journal of Financial Econometrics, Oxford University Press, volume 22, issue 3, pages 743-772.
• Emese Lazar & Shuyuan Qi & Radu Tunaru, 2024, "Measures of Model Risk for Continuous-Time Finance Models," Journal of Financial Econometrics, Oxford University Press, volume 22, issue 5, pages 1456-1481.
• Anastasios Kagkadis & Ingmar Nolte & Sandra Nolte & Nikolaos Vasilas, 2024, "Factor Timing with Portfolio Characteristics," The Review of Asset Pricing Studies, Society for Financial Studies, volume 14, issue 1, pages 84-118.
• Todd Mitton, 2024, "Economic Significance in Corporate Finance," The Review of Corporate Finance Studies, Society for Financial Studies, volume 13, issue 1, pages 38-79.
• Patricia Hernandez Medina & Gabriel Ramírez-Torres & Diego E. Pinilla-Rodríguez & Luis Morales La Paz, 2024, "Impacto del financiamiento educativo en la movilidad social de graduados universitarios: Un análisis de regresiones discontinuas
  [Impact of educational financing on the social mobility of university graduates: An analysis using regression disconti," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, volume 37, pages 1-27, June, DOI: https://doi.org/10.46661/rev.metodo.
• Brenda Guevara & Gabriel Rodríguez & Lorena Yamuca Salvatierra, 2024, "External Shocks and Economic Fluctuations in Peru: Empirical Evidence using Mixture Innovation TVP-VAR-SV Models," Documentos de Trabajo / Working Papers, Departamento de Economía - Pontificia Universidad Católica del Perú, number 2024-529, DOI: 10.18800/2079-8474.0529.
• Gabriel Rodriguez & Paola Alvarado Silva & Moisés Cáceres Quispe, 2024, "Regime-Switching, Stochastic Volatility and Impacts of Monetary Policy Shocks on Macroeconomic Fluctuations in Peru," Documentos de Trabajo / Working Papers, Departamento de Economía - Pontificia Universidad Católica del Perú, number 2024-537, DOI: 10.18800/2079-8474.0537.
• Gabriel Rodriguez & Joseph Santisteban, 2024, "Regime-Switching, Stochastic Volatility, Fiscal Policy Shocks and Macroeconomic Fluctuations in Peru," Documentos de Trabajo / Working Papers, Departamento de Economía - Pontificia Universidad Católica del Perú, number 2024-539, DOI: 10.18800/2079-8474.0539.
• Minsu Chang & Frank Schorfheide, 2024, "On the Effects of Monetary Policy Shocks on Income and Consumption Heterogeneity," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 24-003, 02.
• Balcombe, Kelvin & Fraser, Iain, 2024, "A Note on an Alternative Approach to Experimental Design of Lottery Prospects," MPRA Paper, University Library of Munich, Germany, number 119743, Jan.
• Aknouche, Abdelhakim & Rabehi, Nadia, 2024, "Inspecting a seasonal ARIMA model with a random period," MPRA Paper, University Library of Munich, Germany, number 120758, Apr.
• Vanschoonbeek, Jakob, 2024, "The Spatial Political Economy of Discontent," MPRA Paper, University Library of Munich, Germany, number 122310, Jun.
• ALAMI CHENTOUFI, Reda, 2024, "Penalized Convex Estimation in Dynamic Location-Scale models," MPRA Paper, University Library of Munich, Germany, number 123283, Dec.
• Rodriguez, A.E. & Kucsma, Kristen, 2024, "On the Use of the Bass Model for Forecasting Pecuniary Damages: a Reappraisal," MPRA Paper, University Library of Munich, Germany, number 124948, Nov.
• Korobilis, Dimitris & Schroeder, Maximilian, 2024, "Probabilistic Quantile Factor Analysis," MPRA Paper, University Library of Munich, Germany, number 128773, Aug.
• Georgiana Pleșa, 2024, "Impact of Globalization on Macroeconomic Dynamics Using a Time-varying Bayesian VAR," Prague Economic Papers, Prague University of Economics and Business, volume 2024, issue 4, pages 380-413, DOI: 10.18267/j.pep.872.
• Nikolay Iskrev, 2024, "On the band spectral estimation of business cycle models," Working Papers, Banco de Portugal, Economics and Research Department, number w202419.
• Tenorio, Juan & Perez, Wilder, 2024, "GDP nowcasting with Machine Learning and Unstructured Data," Working Papers, Banco Central de Reserva del Perú, number 2024-003, Apr.
• Foteini Kyriazi & Efthymios Xylangouras & Theodoros Papadogonas, 2024, "On the Forecastability of Agricultural Output," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, volume 16, issue 4, pages 443-467, December, DOI: https://doi.org/10.15353/rea.v16i4..
• Antonio Francesco Gravina & Matteo Lanzafame, 2024, "“What’s Your Shape?” A Data-Driven Approach to Estimating the Environmental Kuznets Curve," ADB Economics Working Paper Series, Asian Development Bank, number 731, Jun.
• Ntombiyesibini Matonana & Andrew Phiri, 2024, "Who in the World can Africa Catch-up to? Evidence from Income Convergence Analysis," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, volume 77, issue 3, pages 417-444.
• Márcio Bruno Ribeiro, 2024, "Uma avaliação dos impactos do Fundo Constitucional de Financiamento do Nordeste na agricultura familiar," Revista Brasileira de Estudos Regionais e Urbanos, Associação Brasileira de Estudos Regionais e Urbanos (ABER), volume 18, issue 3, pages 409-436.
• Corina SÂMAN & Bianca PĂUNA & Alina Mirela STĂNICĂ, 2024, "Linkage Between Pollution and Growth: The Role of Inequality," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 2, pages 146-157, July.
• Pablo PINCHEIRA-BROWN & Nicolás HARDY, 2024, "More predictable than ever, with the worst MSPE ever," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 4, pages 5-30, December.
• Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2024, "Big data forecasting of South African inflation," ERSA Working Paper Series, Economic Research Southern Africa, number 41, Aug.
• Ronak Paul & Rashmi Rashmi, 2024, "Do Unwanted Births Affect the Educational Well-Being of Indian Children? Evidence from a Panel Study," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, volume 18, issue 3-4, pages 310-335, November, DOI: 10.1177/00252921241309732.
• Mehmet Muzaffer Sandalc?, 2024, "The Modelling of Potential Evapotranspiration Based on Climate Data Using Empirical and Heuristic Methods," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 14816441, Oct.
• Leonardo Barros Torres & Gilberto Tadeu Lima & Jaylson Jair da Silveira, 2024, "Endogenous Tax Compliance and Macroeconomic Performance Driven by Satisficing Evolutionary Dynamics," Working Papers, Department of Economics, University of São Paulo (FEA-USP), number 2024_10, Mar.
• Luis A. F. Alvarez & Bruno Ferman, 2024, "On "Imputation of Counterfactual Outcomes when the Errors are Predictable": Discussions on Misspecification and Suggestions of Sensitivity Analyses," Working Papers, Department of Economics, University of São Paulo (FEA-USP), number 2024_16, May.
• Christian Aßmann & Jens Boysen-Hogrefe & Markus Pape, 2024, "Post-processing for Bayesian analysis of reduced rank regression models with orthonormality restrictions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, volume 108, issue 3, pages 577-609, September, DOI: 10.1007/s10182-023-00489-5.
• L. Schneider & B. Tavin, 2024, "Seasonal volatility in agricultural markets: modelling and empirical investigations," Annals of Operations Research, Springer, volume 334, issue 1, pages 7-58, March, DOI: 10.1007/s10479-021-04241-7.
• Mehdi Mili & Jean‐Michel Sahut & Frédéric Teulon & Lubica Hikkerova, 2024, "A multidimensional Bayesian model to test the impact of investor sentiment on equity premium," Annals of Operations Research, Springer, volume 334, issue 1, pages 919-939, March, DOI: 10.1007/s10479-023-05165-0.
• Gianna Figà-Talamanca & Marco Patacca, 2024, "An explorative analysis of sentiment impact on S&P 500 components returns, volatility and downside risk," Annals of Operations Research, Springer, volume 342, issue 3, pages 2095-2117, November, DOI: 10.1007/s10479-022-05129-w.
• Dario Musolino & Balazs Kotosz, 2024, "A new territorial attractiveness index at the international scale: design, application and patterns in Italy," The Annals of Regional Science, Springer;Western Regional Science Association, volume 72, issue 4, pages 1159-1187, April, DOI: 10.1007/s00168-023-01239-w.
• Honorata Bogusz & Szymon Winnicki & Piotr Wójcik, 2024, "What factors contribute to uneven suburbanisation? Predicting the number of migrants from Warsaw to its suburbs with machine learning," The Annals of Regional Science, Springer;Western Regional Science Association, volume 72, issue 4, pages 1353-1382, April, DOI: 10.1007/s00168-023-01245-y.
• Jingru Xu & Xiangjing Tong & Baochen Yang, 2024, "The spatial spillover effect of carbon emission trading scheme on green innovation in China’s cities," The Annals of Regional Science, Springer;Western Regional Science Association, volume 73, issue 2, pages 639-669, August, DOI: 10.1007/s00168-024-01285-y.
• Heng Chen & Cheng Peng & Shuang Guo & Zhi Yang & Wei Lu, 2024, "A decision-support framework for industrial green transformation: empirical analysis of the northeast industrial district in China," The Annals of Regional Science, Springer;Western Regional Science Association, volume 73, issue 4, pages 1917-1958, December, DOI: 10.1007/s00168-024-01300-2.
• Patrick Oliver Schenk & Christoph Kern, 2024, "Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, volume 18, issue 2, pages 131-184, June, DOI: 10.1007/s11943-024-00344-2.
• Rogelio Mercado & Victor Pontines, 2024, "Which financial inclusion indicators and dimensions matter for income inequality? A Bayesian model averaging approach," Empirical Economics, Springer, volume 67, issue 2, pages 609-654, August, DOI: 10.1007/s00181-024-02559-2.
• Antonio Aguirre & Ignacio N. Lobato, 2024, "Evidence of non-fundamentalness in OECD capital stocks," Empirical Economics, Springer, volume 67, issue 2, pages 761-772, August, DOI: 10.1007/s00181-024-02564-5.
• Fameliti Stavroula & Skintzi Vasiliki, 2024, "Macroeconomic attention and commodity market volatility," Empirical Economics, Springer, volume 67, issue 5, pages 1967-2007, November, DOI: 10.1007/s00181-024-02613-z.
• Sharif Mozumder & M. Kabir Hassan & M. Humayun Kabir, 2024, "An evaluation of the adequacy of Lévy and extreme value tail risk estimates," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 10, issue 1, pages 1-26, December, DOI: 10.1186/s40854-024-00614-6.
• Tae-Hwy Lee & Aman Ullah & He Wang, 2024, "The second-order bias and mean squared error of quantile regression estimators," Indian Economic Review, Springer, volume 59, issue 1, pages 11-68, October, DOI: 10.1007/s41775-023-00197-6.
• Luis A. Gil-Alana & Emmanuel Joel Aikins Abakah & Nieves Carmona-González & Aviral Kumar Tiwari, 2024, "Consumer sentiments across G7 and BRICS economies: Are they related?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, volume 48, issue 2, pages 323-344, June, DOI: 10.1007/s12197-023-09657-4.
• Meilian Zhang & Ting Yin & Emiko Usui & Takashi Oshio & Yi Zhang, 2024, "Unraveling the determinants of overemployment and underemployment among older workers in Japan: A machine learning approach," The Japanese Economic Review, Springer, volume 75, issue 4, pages 691-737, December, DOI: 10.1007/s42973-024-00173-6.
• Isaac K. Ofori & Camara K. Obeng & Simplice A. Asongu, 2024, "What Really Drives Economic Growth in Sub-Saharan Africa? Evidence from the Lasso Regularization and Inferential Techniques," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), volume 15, issue 1, pages 144-179, March, DOI: 10.1007/s13132-022-01055-1.
• Stephan Bischof, 2024, "Test-based measurement of skill mismatch: a validation of five different measurement approaches using the NEPS," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), volume 58, issue 1, pages 1-17, December, DOI: 10.1186/s12651-024-00370-1.
• José María Arranz & Carlos García-Serrano, 2024, "You’ll never seek alone: The impact of active labour market policies on finding a job," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), volume 58, issue 1, pages 1-19, December, DOI: 10.1186/s12651-024-00378-7.
• Janna Hinz & Andreas Nicklisch & Mey-Ling Sommer, 2024, "Reciprocity models revisited: intention factors and reference values," International Journal of Game Theory, Springer;Game Theory Society, volume 53, issue 2, pages 299-324, June, DOI: 10.1007/s00182-024-00898-z.
• Irina Georgescu & Jani Kinnunen, 2024, "Dynamic interactions between GDP, renewable energy, innovation, and CO2 emissions in Finland: a fourier-augmented ARDL analysis," Letters in Spatial and Resource Sciences, Springer, volume 17, issue 1, pages 1-23, December, DOI: 10.1007/s12076-024-00391-x.
• Jinia Mukerjee & Roy Thurik & Olivier Torrès & Annelot Wismans, 2024, "Measuring organizational play in small businesses," Management Review Quarterly, Springer, volume 74, issue 4, pages 2443-2476, December, DOI: 10.1007/s11301-023-00363-3.
• Tim Leung & Hyungbin Park & Heejun Yeo, 2024, "Robust long-term growth rate of expected utility for leveraged ETFs," Mathematics and Financial Economics, Springer, number 5, December, DOI: 10.1007/s11579-024-00371-1.
• Marta Małecka & Radosław Pietrzyk, 2024, "A spectral approach to evaluating VaR forecasts: stock market evidence from the subprime mortgage crisis, through COVID-19, to the Russo–Ukrainian war," Quality & Quantity: International Journal of Methodology, Springer, volume 58, issue 5, pages 4533-4567, October, DOI: 10.1007/s11135-024-01866-1.
• Martina Rechbauer & Silke Rünger, 2024, "Measuring the impact of tax loss carryforwards on capital structure choice: the accuracy of earnings-based proxies," Review of Managerial Science, Springer, volume 18, issue 6, pages 1681-1708, June, DOI: 10.1007/s11846-023-00673-6.
• Riadh Trabelsi, 2024, "Sources of macroeconomic fluctuations in Tunisia: a structural VAR approach," SN Business & Economics, Springer, volume 4, issue 10, pages 1-28, October, DOI: 10.1007/s43546-024-00717-3.
• Andrea Beccarini, 2024, "Testing omitted variables in VARs," Statistical Papers, Springer, volume 65, issue 5, pages 3093-3109, July, DOI: 10.1007/s00362-023-01513-1.
• Ard H. J. den Reijer & Pieter W. Otter & Jan P. A. M. Jacobs, 2024, "An heuristic scree plot criterion for the number of factors," Statistical Papers, Springer, volume 65, issue 6, pages 3991-4000, August, DOI: 10.1007/s00362-023-01517-x.
• Ioannis N. Kallianiotis, 2024, "Fed’s Dual Mandate: Maximum Employment and Price Stability," Journal of Applied Finance & Banking, SCIENPRESS Ltd, volume 14, issue 3, pages 1-3.
• Paolo Zagaglia, 2024, "Stocks, Gold and Crude Oil: How Valuable are Volatility and Correlation Timing?," Journal of Applied Finance & Banking, SCIENPRESS Ltd, volume 14, issue 6, pages 1-5.
• Teshome Hailemeskel Abebe, 2024, "Regression Analysis: A Theoretical Approach," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, volume 13, issue 1, pages 1-1.
• Hao Hao & Bai Huang & Tae-hwy Lee, 2024, "Model averaging estimation of panel data models with many instruments and boosting," Journal of Applied Statistics, Taylor & Francis Journals, volume 51, issue 1, pages 53-69, January, DOI: 10.1080/02664763.2022.2114432.
• Liu Yang & Kajal Lahiri & Adrian Pagan, 2024, "Getting the ROC into Sync," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 42, issue 1, pages 109-121, January, DOI: 10.1080/07350015.2022.2154778.
• Luis A. F. Alvarez & Bruno Ferman, 2024, "On “Imputation of Counterfactual Outcomes when the Errors are Predictable”: Discussions on Misspecification and Suggestions of Sensitivity Analyses," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 42, issue 4, pages 1123-1127, October, DOI: 10.1080/07350015.2024.2359594.
• David Ardia & Arnaud Dufays & Carlos Ordás Criado, 2024, "Linking Frequentist and Bayesian Change-Point Methods," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 42, issue 4, pages 1155-1168, October, DOI: 10.1080/07350015.2023.2293166.
• Timothy G. Conley & Nirav Mehta & Ralph Stinebrickner & Todd Stinebrickner, 2024, "Social Interactions, Mechanisms, and Equilibrium: Evidence from a Model of Study Time and Academic Achievement," Journal of Political Economy, University of Chicago Press, volume 132, issue 3, pages 824-866, DOI: 10.1086/726902.
• Minsu Chang & Xiaohong Chen & Frank Schorfheide, 2024, "Heterogeneity and Aggregate Fluctuations," Journal of Political Economy, University of Chicago Press, volume 132, issue 12, pages 4021-4067, DOI: 10.1086/731411.
• Gabriel Montes-Rojas & Zacharias Psaradakis & Martín Sola, 2024, "On Regime Separation in Markov-Switching Quantile Regressions," Department of Economics Working Papers, Universidad Torcuato Di Tella, number 2024_05, Aug.
• Dullien Sebastian, 2024, "European Industrial Policy in the 2020s: Rationale, Challenges and Limitations," Intereconomics: Review of European Economic Policy, Paradigm, volume 59, issue 5, pages 249-253, DOI: 10.2478/ie-2024-0051.
• Wisniewski Radoslaw & Wiśniewski Dawid, 2024, "Management and Valuation in Real Estate Cycle a Decade of Experience," Real Estate Management and Valuation, Sciendo, volume 32, issue 3, pages 31-52, DOI: 10.2478/remav-2024-0023.
• Szymon Lis & Robert Slepaczuk & Paweł Sakowski, 2024, "Explaining and Forecasting Abnormal Returns and Volume by Investor Sentiment Indicators," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2024-18.
• Peter McAdam & Anders Warne, 2024, "Density forecast combinations: The real‐time dimension," Journal of Forecasting, John Wiley & Sons, Ltd., volume 43, issue 5, pages 1153-1172, August, DOI: 10.1002/for.3068.
• Pablo Pincheira Brown & Nicolás Hardy, 2024, "Correlation‐based tests of predictability," Journal of Forecasting, John Wiley & Sons, Ltd., volume 43, issue 6, pages 1835-1858, September, DOI: 10.1002/for.3081.
• Pablo Pincheira Brown & Nicolás Hardy, 2024, "The mean squared prediction error paradox," Journal of Forecasting, John Wiley & Sons, Ltd., volume 43, issue 6, pages 2298-2321, September, DOI: 10.1002/for.3129.
• Joseph Chukwudi Odionye & Innocent Uchechukwu Duru & Innocent Chile Nzeh & Ndubuisi Eme Uguru & Kelechi Promise Uzoma, 2024, "Heterogeneous Influence of Capital Flight and Economic Policy Uncertainty on Domestic Investment in Nigeria: New Evidence from Quantile Nonlinear ARDL," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., volume 15, issue 03, pages 1-33, October, DOI: 10.1142/S1793993324500248.
• Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2024, "Post-processing for Bayesian analysis of reduced rank regression models with orthonormality restrictions," Open Access Publications from Kiel Institute for the World Economy, Kiel Institute for the World Economy, number 306605, DOI: 10.1007/s10182-023-00489-5.
• Krause, Thomas & Sfrappini, Eleonora & Tonzer, Lena & Zgherea, Cristina, 2024, "How do EU banks' funding costs respond to the CRD IV? An assessment based on the Banking Union directives database," IWH Discussion Papers, Halle Institute for Economic Research (IWH), number 12/2024.
• Heinisch, Katja, 2024, "Step by step - A quarterly evaluation of EU Commission's GDP forecasts," IWH Discussion Papers, Halle Institute for Economic Research (IWH), number 22/2024.

2023

• Henk-Wim Boer & Egbert L. W. Jongen, 2023, "Analysing tax-benefit reforms in the Netherlands using structural models and natural experiments," Journal of Population Economics, Springer;European Society for Population Economics, volume 36, issue 1, pages 179-209, January, DOI: 10.1007/s00148-021-00852-3.
• Christos Agiakloglou & Apostolos Tsimpanos, 2023, "Evaluating the performance of AIC and BIC for selecting spatial econometric models," Journal of Spatial Econometrics, Springer, volume 4, issue 1, pages 1-35, December, DOI: 10.1007/s43071-022-00030-x.
• Rudrani Bhattacharya & Bornali Bhandari & Sudipto Mundle, 2023, "Nowcasting India’s Quarterly GDP Growth: A Factor-Augmented Time-Varying Coefficient Regression Model (FA-TVCRM)," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), volume 21, issue 1, pages 213-234, March, DOI: 10.1007/s40953-022-00335-6.
• Shikha Gupta & Nand Kumar, 2023, "Time varying dynamics of globalization effect in India," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, volume 22, issue 1, pages 81-97, January, DOI: 10.1007/s10258-020-00190-4.
• Joern Block & Reza Fathollahi, 2023, "Foundation ownership and firm growth," Review of Managerial Science, Springer, volume 17, issue 8, pages 2633-2654, November, DOI: 10.1007/s11846-022-00595-9.
• Antonio Marsi, 2023, "Predicting European stock returns using machine learning," SN Business & Economics, Springer, volume 3, issue 7, pages 1-25, July, DOI: 10.1007/s43546-023-00487-4.
• Paulo Chávez & Gabriel Rodríguez, 2023, "Time changing effects of external shocks on macroeconomic fluctuations in Peru: empirical application using regime-switching VAR models with stochastic volatility," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), volume 159, issue 2, pages 505-544, May, DOI: 10.1007/s10290-022-00474-1.
• Saeed Shaker-Akhtekhane & Solmaz Poorabbas, 2023, "Value-at-Risk Estimation Using an Interpolated Distribution of Financial Returns Series," Journal of Applied Finance & Banking, SCIENPRESS Ltd, volume 13, issue 1, pages 1-6.
• Francesco Cordoni & Nicolas Doremus & Alessio Moneta, 2023, "Identification of Vector Autoregressive Models with Nonlinear Contemporaneous Structure," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2023/07, Jan.
• Ådne Cappelen & Pierre Mohnen & Arvid Raknerud & Marina Rybalka, 2023, "A new approach to estimating private returns to R&D," Discussion Papers, Statistics Norway, Research Department, number 1005, Aug.
• Ikefuji, Masako & Magnus, Jan R. & Vasnev, Andrey L., 2023, "The role of data and priors in estimating climate sensitivity," Working Papers, University of Sydney Business School, Discipline of Business Analytics, number BAWP-2023-02, Nov.
• Hoang Nguyen & Trong-Nghia Nguyen & Minh-Ngoc Tran, 2023, "A dynamic leverage stochastic volatility model," Applied Economics Letters, Taylor & Francis Journals, volume 30, issue 1, pages 97-102, January, DOI: 10.1080/13504851.2021.1983127.
• Chaonan Jiang & Davide La Vecchia & Elvezio Ronchetti & Olivier Scaillet, 2023, "Saddlepoint Approximations for Spatial Panel Data Models," Journal of the American Statistical Association, Taylor & Francis Journals, volume 118, issue 542, pages 1164-1175, April, DOI: 10.1080/01621459.2021.1981913.
• Joshua C. C. Chan, 2023, "Large Hybrid Time-Varying Parameter VARs," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 41, issue 3, pages 890-905, July, DOI: 10.1080/07350015.2022.2080683.
• Frédéric Vrins & Linqi Wang, 2023, "Asymmetric short-rate model without lower bound," Quantitative Finance, Taylor & Francis Journals, volume 23, issue 2, pages 279-295, February, DOI: 10.1080/14697688.2022.2156384.
• Anna Gloria Billé & Alessio Tomelleri & Francesco Ravazzolo, 2023, "Forecasting regional GDPs: a comparison with spatial dynamic panel data models," Spatial Economic Analysis, Taylor & Francis Journals, volume 18, issue 4, pages 530-551, October, DOI: 10.1080/17421772.2023.2199034.
• Mirko Armillotta & Paolo Gorgi, 2023, "Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 23-054/III, Oct.
• Thomas H. Jørgensen, 2023, "Sensitivity to Calibrated Parameters," The Review of Economics and Statistics, MIT Press, volume 105, issue 2, pages 474-481, March, DOI: 10.1162/rest_a_01054.
• Stanca Lorenzo, 2023, "Robust Bayesian Choice," Working papers, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino, number 079, Jan.
• Luca Benati & Thomas A. Lubik, 2023, "Impulse Response Analysis at the Zero Lower Bound," Diskussionsschriften, Universitaet Bern, Departement Volkswirtschaft, number dp2306, Jun.
• Tae-Hwy Lee & Aman Ullah & He Wang, 2023, "The Second-order Bias and Mean Squared Error of Quantile Regression Estimators," Working Papers, University of California at Riverside, Department of Economics, number 202313, Aug.
• Joseph Cummins & Brock Smith & Douglas L. Miller & David Eliot Simon, 2023, "Matching on Noise: Finite Sample Bias in the Synthetic Control Estimator," Working papers, University of Connecticut, Department of Economics, number 2023-07, Oct.
• Vladimir M. Markovic & Nikola Radivojevic & Tatjana Ivanovic & Slobodan Radisic & Nenad Novakovic, 2023, "The quantum harmonic oscillator expected shortfall model," Estudios de Economia, University of Chile, Department of Economics, volume 50, issue 2 Year 20, pages 233-261, December.
• Alejo Estavillo & Gabriela Mordecki, 2023, "Nowcasting del PIB para Uruguay en base a un modelo de ecuaciones puente," Documentos de Trabajo (working papers), Instituto de Economía - IECON, number 23-26, Dec.
• Gaël Le Mens & Balász Kovács & Michael T. Hannan & Guillem Pros, 2023, "Uncovering the semantics of concepts using GPT-4 and Other recent large language models," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra, number 1864, Jun.
• Berezka Kateryna & Kovalchuk Olha, 2023, "The Application of Association Rules to Detect the Effects of Vaccinations against Covid-19 in the EU-27. Preliminary Estimates," Econometrics. Advances in Applied Data Analysis, Paradigm, volume 27, issue 1, pages 1-16, March, DOI: 10.15611/eada.2023.1.01.
• Węcel Krzysztof & Sawiński Marcin & Stróżyna Milena & Lewoniewski Włodzimierz & Księżniak Ewelina & Stolarski Piotr & Abramowicz Witold, 2023, "Artificial intelligence—friend or foe in fake news campaigns," Economics and Business Review, Paradigm, volume 9, issue 2, pages 41-70, April, DOI: 10.18559/ebr.2023.2.736.
• Volvach Olena, 2023, "Assessment of the efficiency of use of EPS by business," Economics, Sciendo, volume 11, issue 1, pages 233-249, June, DOI: 10.2478/eoik-2023-0003.
• Berezka Kateryna M. & Kovalchuk Olha Ya., 2023, "Associative Rules for Modeling International Security Decisions in the Context of the Ukrainian-Russian War. Preliminary Evaluations," Folia Oeconomica Stetinensia, Paradigm, volume 23, issue 2, pages 67-85, December, DOI: 10.2478/foli-2023-0019.
• Moretti Melita, 2023, "Validating a Scale for Innovation in Sustainable Water Management in the Manufacturing Sector: A Slovenian Study," Naše gospodarstvo/Our economy, Paradigm, volume 69, issue 4, pages 12-25, December, DOI: 10.2478/ngoe-2023-0020.
• Ciocîrlan Cecilia & Zwak-Cantoriu Maria-Cristina & Stancea Andreea & Plăcintă Dimitrie-Daniel, 2023, "European Macroeconomic Dynamics on Financial Markets and Economic Policy: A Cross Country Study for Spillover Effects," Studia Universitatis Babeș-Bolyai Oeconomica, Paradigm, volume 68, issue 3, pages 40-63, December, DOI: 10.2478/subboec-2023-0014.
• Marcin Chlebus & Artur Nowak, 2023, "From Alchemy to Analytics: Unleashing the Potential of Technical Analysis in Predicting Noble Metal Price Movement," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2023-13.
• Jesus Crespo Cuaresma & Oscar Fernandez, 2023, "Explaining Long-Term Bond Yields Synchronization Dynamics in Europe," Department of Economics Working Papers, Vienna University of Economics and Business, Department of Economics, number wuwp344, Jul.
• Crespo Cuaresma, Jesus & Fernandez, Oscar, 2023, "Explaining Long-Term Bond Yields Synchronization Dynamics in Europe," Department of Economics Working Paper Series, WU Vienna University of Economics and Business, number 344, Jul.
• Gilles Duranton & Diego Puga, 2023, "Urban Growth and Its Aggregate Implications," Econometrica, Econometric Society, volume 91, issue 6, pages 2219-2259, November, DOI: 10.3982/ECTA17936.
• Gary Koop & Dimitris Korobilis, 2023, "Bayesian Dynamic Variable Selection In High Dimensions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, volume 64, issue 3, pages 1047-1074, August, DOI: 10.1111/iere.12623.
• Pär Österholm & Aubrey Poon, 2023, "Trend Inflation in Sweden," International Journal of Finance & Economics, John Wiley & Sons, Ltd., volume 28, issue 4, pages 4707-4716, October, DOI: 10.1002/ijfe.2672.
• Aaron J. Amburgey & Michael W. McCracken, 2023, "On the real‐time predictive content of financial condition indices for growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 38, issue 2, pages 137-163, March, DOI: 10.1002/jae.2943.
• Tsutomu Watanabe & Tomoyoshi Yabu, 2023, "The demand for money at the zero interest rate bound," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 38, issue 6, pages 968-976, September, DOI: 10.1002/jae.2983.
• Josefine Quast & Maik H. Wolters, 2023, "The Federal Reserve's output gap: The unreliability of real‐time reliability tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 38, issue 7, pages 1101-1111, November, DOI: 10.1002/jae.3003.
• Tamás Kiss & Stepan Mazur & Hoang Nguyen & Pär Österholm, 2023, "Modeling the relation between the US real economy and the corporate bond‐yield spread in Bayesian VARs with non‐Gaussian innovations," Journal of Forecasting, John Wiley & Sons, Ltd., volume 42, issue 2, pages 347-368, March, DOI: 10.1002/for.2911.
• Stephen G. Hall & George S. Tavlas & Yongli Wang, 2023, "Forecasting inflation: The use of dynamic factor analysis and nonlinear combinations," Journal of Forecasting, John Wiley & Sons, Ltd., volume 42, issue 3, pages 514-529, April, DOI: 10.1002/for.2948.
• Carlos Cañizares Martínez & Gabe J. de Bondt & Arne Gieseck, 2023, "Forecasting housing investment," Journal of Forecasting, John Wiley & Sons, Ltd., volume 42, issue 3, pages 543-565, April, DOI: 10.1002/for.2946.
• Timothy G. Conley & Sílvia Gonçalves & Min Seong Kim & Benoit Perron, 2023, "Bootstrap inference under cross‐sectional dependence," Quantitative Economics, Econometric Society, volume 14, issue 2, pages 511-569, May, DOI: 10.3982/QE1626.
• Quast, Josefine & Wolters, Maik H., 2023, "The Federal Reserve's output gap: The unreliability of real-time realiability tests," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 179.
• Ankel-Peters, Jörg & Bensch, Gunther & Vance, Colin, 2023, "Spotlight on researcher decisions: Infrastructure evaluation, instrumental variables, and specification screening," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 991, DOI: 10.4419/96973157.
• Bensch, Gunther & Ankel-Peters, Jörg & Vance, Colin, 2023, "Spotlight on Researcher Decisions – Infrastructure Evaluation, Instrumental Variables, and Specification Screening," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage", Verein für Socialpolitik / German Economic Association, number 277703.
• Changli He & Jian Kang & Annastiina Silvennoinen & Timo Teräsvirta, 2023, "Long Monthly European Temperature Series and the North Atlantic Oscillation," Economics Working Papers, Department of Economics and Business Economics, Aarhus University, number 2023-03, Apr.
• Petra E. Todd & Kenneth I. Wolpin, 2023, "The Best of Both Worlds: Combining Randomized Controlled Trials with Structural Modeling," Journal of Economic Literature, American Economic Association, volume 61, issue 1, pages 41-85, March, DOI: 10.1257/jel.20211652.
• Dorel Mihai Paraschiv & Narciz Balasoiu & Souhir Ben-Amor & Raul Cristian Bag, 2023, "Hybridising Neurofuzzy Model the Seasonal Autoregressive Models for Electricity Price Forecasting on Germany’s Spot Market," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 25, issue 63, pages 463-463, April.
• Awa Traoré & Cheikh T. Ndour & Simplice A. Asongu, 2023, "Promoting Environmental Sustainability in Africa: Evidence from Governance Synergy," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 23/002, Jan.
• Awa Traoré & Simplice A. Asongu, 2023, "Diffusion of Green technology, Governance and CO2 emissions in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 23/054, Jan.
• Lucian MIRESCU & Ana-Maria Camelia POPESCU, 2023, "A Statistical Study On Key Performance Indicators In Health System," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, volume 0, issue 1, pages 25-35, May.
• Algieri, Bernardina & Iania, Leonardo & Leccadito, Arturo & Meloni, Giulia, 2023, "Message in a Bottle: Forecasting wine prices," LIDAM Discussion Papers LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2023004, Jun.
• Алимбаева Лаура // Alimbayeva Laura, 2023, "Оценка опережающих свойств краткосрочных экономических индикаторов Казахстана. // Assessment of leading properties of short-term economic indicators of Kazakhstan," Working Papers, National Bank of Kazakhstan, number #2023-11.
• Damian Clarke & Daniel Paila~nir & Susan Athey & Guido Imbens, 2023, "Synthetic Difference In Differences Estimation," Papers, arXiv.org, number 2301.11859, Jan, revised Feb 2023.
• Jesus Gonzalo & Jean-Yves Pitarakis, 2023, "Out of Sample Predictability in Predictive Regressions with Many Predictor Candidates," Papers, arXiv.org, number 2302.02866, Feb, revised Oct 2023.
• Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023, "Band-Pass Filtering with High-Dimensional Time Series," Papers, arXiv.org, number 2305.06618, May.
• Daniel Haanwinckel, 2023, "Does regional variation in wage levels identify the effects of a national minimum wage?," Papers, arXiv.org, number 2307.01284, Jul, revised May 2026.
• Alexander Chudik & M. Hashem Pesaran & Mahrad Sharifvaghefi, 2023, "Variable Selection in High Dimensional Linear Regressions with Parameter Instability," Papers, arXiv.org, number 2312.15494, Dec, revised Jul 2024.
• Oren Danieli & Daniel Nevo & Itai Walk & Bar Weinstein & Dan Zeltzer, 2023, "Negative Control Falsification Tests for Instrumental Variable Designs," Papers, arXiv.org, number 2312.15624, Dec, revised Apr 2025.
• Lasse Bork & Pablo Rovira Kaltwasser & Piet Sercu & Tom Vinaimont, 2023, "Can Exchange Rates Really Forecast Commodity Prices?," Working Papers, Nazarbayev University, Graduate School of Business, number 2023/04, Aug.
• Jalali Naeini, Seyyed Ahmad Reza & Seighalani, Shahbod, 2023, "External Shocks, Cost Push and Stagflation in Iran (in Persian)," The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی Ùˆ بودجه), Institute for Management and Planning studies, volume 28, issue 2, pages 45-89, September.
• Naghibzadeh, Fatemeh & Hojabr kiani, Kambiz & Rajaei, Yadollah & Rahimzadeh, Ashkan, 2023, "Asymmetric Effects of Exchange Rate on the Value Added of Industrial Sector in Iran: Evidence of Non-linear Co-accumulation of NARDL (in Persian)," The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی Ùˆ بودجه), Institute for Management and Planning studies, volume 28, issue 3, pages 133-160, December.
• Donald Coletti, 2023, "A Blueprint for the Fourth Generation of Bank of Canada Projection and Policy Analysis Models," Discussion Papers, Bank of Canada, number 2023-23, Oct, DOI: 10.34989/sdp-2023-23.
• Tony Chernis, 2023, "Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis," Staff Working Papers, Bank of Canada, number 23-45, Aug, DOI: 10.34989/swp-2023-45.
• Federica Ciocchetta & Elisa Guglielminetti & Alessandro Mistretta, 2023, "What drives house prices in Europe?," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 764, Apr.
• Raffaele De Marchi & Alessandro Moro, 2023, "Forecasting fiscal crises in emerging markets and low-income countries with machine learning models," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1405, Mar.
• Julián Alonso Cárdenas-Cárdenas & Deicy J. Cristiano-Botia & Nicolás Martínez-Cortés, 2023, "Colombian inflation forecast using Long Short-Term Memory approach," Borradores de Economia, Banco de la Republica de Colombia, number 1241, Jun, DOI: 10.32468/be.1241.
• Wilmer Martínez-Rivera & Eliana R. González-Molano & Edgar Caicedo-García, 2023, "Forecasting Inflation from Disaggregated Data: The Colombian case," Borradores de Economia, Banco de la Republica de Colombia, number 1251, Oct, DOI: 10.32468/be.1251.
• Joseph Chukwudi Odionye & Jude Okechukwu Chukwu, 2023, "Asymmetric Reactions Of Stock Prices And Industrial Output To Exchange Rate Shocks: Multiple Threshold Nonlinear Autoregressive Distributed Lag Framework," Economic Annals, Faculty of Economics and Business, University of Belgrade, volume 68, issue 237, pages 165-191, April – J.
• Guillem Pros & Balász Kovács & Michael T. Hannan & Gaël Le Mens, 2023, "Uncovering the Semantics of Concepts Using GPT-4 and Other Recent Large Language Models," Working Papers, Barcelona School of Economics, number 1394, Jun.
• Andrey Bedin & Alexander Kulikov & Andrey Polbin, 2023, "Copula-Based Modelling of Relationship Between Dollar/Rouble Exchange Rate and Oil Prices," Russian Journal of Money and Finance, Bank of Russia, volume 82, issue 3, pages 87-109, September.
• Viacheslav Kramkov, 2023, "Does CPI disaggregation improve inflation forecast accuracy?," Bank of Russia Working Paper Series, Bank of Russia, number wps112, Mar.
• Svetlana Bryzgalova & Jiantao Huang & Christian Julliard, 2023, "Bayesian Solutions for the Factor Zoo: We Just Ran Two Quadrillion Models," Journal of Finance, American Finance Association, volume 78, issue 1, pages 487-557, February, DOI: 10.1111/jofi.13197.
• Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2023, "Are Fiscal Multipliers Estimated with Proxy‐SVARs Robust?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, volume 85, issue 1, pages 95-122, February, DOI: 10.1111/obes.12521.
• Sune Karlsson & Pär Österholm, 2023, "Is the US Phillips curve stable? Evidence from Bayesian vector autoregressions," Scandinavian Journal of Economics, Wiley Blackwell, volume 125, issue 1, pages 287-314, January, DOI: 10.1111/sjoe.12508.
• Dimitris Korobilis & Maximilian Schröder, 2023, "Probabilistic Quantile Factor Analysis," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 05/2023, Aug.
• Rishabh Kumar & Adriano Koshiyama & Kleyton da Costa & Nigel Kingsman & Marvin Tewarrie & Emre Kazim & Arunita Roy & Philip Treleaven & Zac Lovell, 2023, "Deep learning model fragility and implications for financial stability and regulation," Bank of England Staff Working Paper series, Bank of England, number 1038, Sep.
• Stephen G. Hall & George S. Tavlas & Yongli Wang, 2023, "Forecasting inflation: the use of dynamic factor analysis and nonlinear combinations," Working Papers, Bank of Greece, number 314, Feb, DOI: 10.52903/wp2023314.
• Zacharias Bragoudakis & Ioannis Krompas, 2023, "Greek GDP forecasting using Bayesian multivariate models," Working Papers, Bank of Greece, number 321, Jun, DOI: 10.52903/wp2023321.
• Yoshibumi Makabe & Yosuke Matsumoto & Wataru Hirata, 2023, "Estimating Pipeline Pressures in New Keynesian Phillips Curves: A Bayesian VAR-GMM Approach," Bank of Japan Working Paper Series, Bank of Japan, number 23-E-13, Aug.
• Yin Shou-Yung & Lin Chang-Ching & Chang Ming-Jen, 2023, "Interest Rate Persistence and Monetary Policy Rule in Light of Model Uncertainty," German Economic Review, De Gruyter, volume 24, issue 2, pages 145-190, May, DOI: 10.1515/ger-2022-0076.
• Blazsek Szabolcs & Blazsek Virag & Kobor Adam, 2023, "Conservatorship, quantitative easing, and mortgage spreads: a new multi-equation score-driven model of policy actions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 27, issue 2, pages 237-264, April, DOI: 10.1515/snde-2021-0066.
• Ayala Astrid & Blazsek Szabolcs & Escribano Alvaro, 2023, "Anticipating extreme losses using score-driven shape filters," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 27, issue 4, pages 449-484, September, DOI: 10.1515/snde-2021-0102.
• Blazsek Szabolcs & Haddad Michel Ferreira Cardia, 2023, "Score-driven multi-regime Markov-switching EGARCH: empirical evidence using the Meixner distribution," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 27, issue 4, pages 589-634, September, DOI: 10.1515/snde-2021-0101.
• Ayala Astrid & Blazsek Szabolcs & Licht Adrian, 2023, "Comparison of Score-Driven Equity-Gold Portfolios During the COVID-19 Pandemic Using Model Confidence Sets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 27, issue 5, pages 705-731, December, DOI: 10.1515/snde-2022-0107.
• Dimitri Tchakounté & Loïc Molambo Sambi, 2023, "Impact des conflits armés sur la santé des enfants en République centrafricaine," Revue d’économie du développement, De Boeck Université, volume 33, issue 2, pages 41-96.
• Meenagh, David & Minford, Patrick & Xu, Yongdeng, 2023, "Indirect Inference and Small Sample Bias - Some Recent Results," Cardiff Economics Working Papers, Cardiff University, Cardiff Business School, Economics Section, number E2023/15, May.
• Alena Skolkova, 2023, "Model Averaging with Ridge Regularization," CERGE-EI Working Papers, The Center for Economic Research and Graduate Education - Economics Institute, Prague, number wp758, Jul.
• Alexander Chudik & M. Hashem Pesaran & Mahrad Sharifvaghefi, 2023, "Variable Selection in High Dimensional Linear Regressions with Parameter Instability," CESifo Working Paper Series, CESifo, number 10223.