Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting with DSGE Models
2. Forecasting

2024

• 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, June, 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, Sciendo, 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

• 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, Sciendo, 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, Sciendo, 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, Sciendo, 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, Sciendo, 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, Sciendo, 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 working papers, 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.
• Christina Anderl & Guglielmo Maria Caporale, 2023, "Time-Varying Parameters in Monetary Policy Rules: A GMM Approach," CESifo Working Paper Series, CESifo, number 10451.
• Rodrigo Adão & Arnaud Costinot & Dave Donaldson, 2023, "Putting Quantitative Models to the Test: An Application to Trump’s Trade War," CESifo Working Paper Series, CESifo, number 10484.
• Sören Blomquist, 2023, "Evaluating the Discrete Choice and BN Methods to Estimate Labor Supply Functions," CESifo Working Paper Series, CESifo, number 10827.
• Bryan T. Kelly & Boris Kuznetsov & Semyon Malamud & Teng Andrea Xu, 2023, "Large (and Deep) Factor Models," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-121, Dec.
• Alberto Quaini & Fabio Trojani & Ming Yuan, 2023, "Tradable Factor Risk Premia and Oracle Tests of Asset Pricing Models," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-81, Sep.
• Dante Amengual & Xinyue Bei & Enrique Sentana, 2023, "Highly Irregular Serial Correlation Tests," Working Papers, CEMFI, number wp2023_2302, May.
• Michal Andrle & Jan Bruha, 2023, "A Sparse Kalman Filter: A Non-Recursive Approach," Working Papers, Czech National Bank, Research and Statistics Department, number 2023/13, Nov.
• Santiago Torres, 2023, "The Oracle Local Polynomial Estimator," Documentos CEDE, Universidad de los Andes, Facultad de Economía, CEDE, number 20937, Nov.
• Diana Marcela Jiménez & Lina Alejandra Zarama Valdes & Juan Camilo Urbano & Daniel Giron & Estefano Castillo & Aura Mar�a Barber�n & �lvaro Jos� Pretel & Esneyder Cortes Salina, 2023, "Entre la reinvención y la reactivación: el caso del Plan Reactívate Fundación WWB Colombia como estrategia de recuperación económica enfocada en emprendimientos por necesidad," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, volume 93, issue 4, pages 139-176.
• Liliana Narváez & Yadira Diaz, 2023, "Más y mejores transferencias monetarias en tiempos de COVID-19," Documentos de trabajo, Escuela de Gobierno - Universidad de los Andes, number 20987, Dec.
• Peter B. Dixon & Maureen T. Rimmer, 2023, "What do GTAP databases tell us about technologies for industries and regions?," Centre of Policy Studies/IMPACT Centre Working Papers, Victoria University, Centre of Policy Studies/IMPACT Centre, number g-340, Jun.
• Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023, "Density forecasts of inflation: a quantile regression forest approach," CEPR Discussion Papers, Centre for Economic Policy Research, number 18298, Jul.
• Bjoern Schulte-Tillmann & Mawuli Segnon & Timo Wiedemann, 2023, "A comparison of high-frequency realized variance measures: Duration- vs. return-based approaches," CQE Working Papers, Center for Quantitative Economics (CQE), University of Muenster, number 10523, Jun.
• Verena Monschang & Mark Trede & Bernd Wilfling, 2023, "Multi-horizon uniform superior predictive ability revisited: A size-exploiting and consistent test," CQE Working Papers, Center for Quantitative Economics (CQE), University of Muenster, number 10623, Nov.
• Paolo Andreini & Cosimo Izzo & Giovanni Ricco, 2023, "Deep Dynamic Factor Models," Working Papers, Center for Research in Economics and Statistics, number 2023-08, May.
• Alban Moura & Olivier Pierrard, 2023, "How well do DSGE models with real estate and collateral constraints fit the data?," LIDAM Discussion Papers IRES, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES), number 2023007, Feb.
• Lee, Ji Hyung & Shin, Youngki, 2023, "Complete Subset Averaging For Quantile Regressions," Econometric Theory, Cambridge University Press, volume 39, issue 1, pages 146-188, February.
• Таня Горчева & Здравко Любенов & Ивайло Петров, 2023, "Европейската Зелена Сделка – Предпоставка За Генериране На Устойчив И Приобщаващ Растеж В Българската Икономика," Scientific Research Almanac, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, volume 31, issue 1 Year 20, pages 103-132.
• Awa Traoré & Simplice A. Asongu, 2023, "Diffusion of Green technology, Governance and CO2 emissions in Sub-Saharan Africa," Journal of Africa SEER Centre(ASC), Africa SEER Centre(ASC), number 23/014, Jan.
• Awa Traoré & Cheikh T. Ndour & Simplice A. Asongu, 2023, "Promoting Environmental Sustainability in Africa: Evidence from Governance Synergy," Journal of Africa SEER Centre(ASC), Africa SEER Centre(ASC), number 23/018, Jan.
• Masako Ikefuji & Jan Magnus & Andrey Vasnev, 2023, "The role of data and priors in estimating climate sensitivity," ISER Discussion Paper, Institute of Social and Economic Research, The University of Osaka, number 1217, Nov.
• László KÓNYA, 2023, "Per Capita Income Convergence and Divergence of Selected OECD Countries to and from the US: A Reappraisal for the period 1900-2018," Applied Econometrics and International Development, Euro-American Association of Economic Development, volume 23, issue 1, pages 33-56.
• Maria-Carmen GUISAN, 2023, "International Comparisons Of World Development: 2 Ebooks On Education, Production, Poverty And Quality Of Life For The Periods 1960-2000 And 2021-2023," Applied Econometrics and International Development, Euro-American Association of Economic Development, volume 23, issue 2, pages 153-176.
• Bańbura, Marta & Bobeica, Elena & Bodnár, Katalin & Fagandini, Bruno & Healy, Peter & Paredes, Joan, 2023, "Underlying inflation measures: an analytical guide for the euro area," Economic Bulletin Boxes, European Central Bank, volume 5.
• 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.
• Martínez, Carlos Cañizares & de Bondt, Gabe & Gieseck, Arne, 2023, "Forecasting housing investment," Working Paper Series, European Central Bank, number 2807, Apr.
• 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.
• Nicholas Adoboe-Mensah & Hussein Salia & Emmanuel Budu Addo, 2023, "Using the Beneish M-score Model to Detect Financial Statement Fraud in the Microfinance Industry in Ghana," International Journal of Economics and Financial Issues, Econjournals, volume 13, issue 4, pages 47-57, July.
• Ra l De Jes s Guti rrez & Lidia E. Carvajal Guti rrez & Oswaldo Garcia Salgado, 2023, "Value at Risk and Expected Shortfall Estimation for Mexico s Isthmus Crude Oil Using Long-Memory GARCH-EVT Combined Approaches," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 4, pages 467-480, July.
• Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2023, "Vector autoregression models with skewness and heavy tails," Journal of Economic Dynamics and Control, Elsevier, volume 146, issue C, DOI: 10.1016/j.jedc.2022.104580.
• Cakici, Nusret & Fieberg, Christian & Metko, Daniel & Zaremba, Adam, 2023, "Machine learning goes global: Cross-sectional return predictability in international stock markets," Journal of Economic Dynamics and Control, Elsevier, volume 155, issue C, DOI: 10.1016/j.jedc.2023.104725.
• Zhang, Ming & Du, Panpan & Tu, Xianjin, 2023, "The role of intangible assets in promoting the sustainability of agri-food enterprises: Evidence from China," Economic Analysis and Policy, Elsevier, volume 77, issue C, pages 928-939, DOI: 10.1016/j.eap.2022.12.028.
• Amin, Sakib Bin & Taghizadeh-Hesary, Farhad, 2023, "Tourism, sustainability, and the economy in Bangladesh: The innovation connection amidst Covid-19," Economic Analysis and Policy, Elsevier, volume 79, issue C, pages 153-167, DOI: 10.1016/j.eap.2023.06.018.
• Chou, Jenyu & Easaw, Joshy & Minford, Patrick, 2023, "Does inattentiveness matter for DSGE modeling? An empirical investigation," Economic Modelling, Elsevier, volume 118, issue C, DOI: 10.1016/j.econmod.2022.106076.
• García, Jaume & Suárez, María José, 2023, "The relevance of specification assumptions when analyzing the drivers of physical activity practice," Economic Modelling, Elsevier, volume 119, issue C, DOI: 10.1016/j.econmod.2022.106127.
• Zhao, Shangwei & Xie, Tian & Ai, Xin & Yang, Guangren & Zhang, Xinyu, 2023, "Correcting sample selection bias with model averaging for consumer demand forecasting," Economic Modelling, Elsevier, volume 123, issue C, DOI: 10.1016/j.econmod.2023.106275.
• Qiu, Yue & Zheng, Yuchen, 2023, "Improving box office projections through sentiment analysis: Insights from regularization-based forecast combinations," Economic Modelling, Elsevier, volume 125, issue C, DOI: 10.1016/j.econmod.2023.106349.
• Li, Boyan & Diao, Xundi, 2023, "Structural break in different stock index markets in China," The North American Journal of Economics and Finance, Elsevier, volume 65, issue C, DOI: 10.1016/j.najef.2023.101882.
• Li, Houjian & Zhou, Deheng & Hu, Jiayu & Li, Junwen & Su, Mengying & Guo, Lili, 2023, "Forecasting the realized volatility of Energy Stock Market: A multimodel comparison," The North American Journal of Economics and Finance, Elsevier, volume 66, issue C, DOI: 10.1016/j.najef.2023.101895.
• Rodríguez, Gabriel & Castillo B., Paul & Hasegawa, Harumi, 2023, "Does the Central Bank of Peru respond to exchange rate movements? A Bayesian estimation of a New Keynesian DSGE model with FX interventions," The North American Journal of Economics and Finance, Elsevier, volume 68, issue C, DOI: 10.1016/j.najef.2023.101965.
• Wang, Yide & Chen, Zan & Ji, Xiaodong, 2023, "Cross-market information transmission and stock market volatility prediction," The North American Journal of Economics and Finance, Elsevier, volume 68, issue C, DOI: 10.1016/j.najef.2023.101977.
• Agarwal, Shivam & Muckley, Cal B. & Neelakantan, Parvati, 2023, "Countering racial discrimination in algorithmic lending: A case for model-agnostic interpretation methods," Economics Letters, Elsevier, volume 226, issue C, DOI: 10.1016/j.econlet.2023.111117.
• Cavicchioli, Maddalena, 2023, "Impulse response function analysis for Markov switching var models," Economics Letters, Elsevier, volume 232, issue C, DOI: 10.1016/j.econlet.2023.111357.
• Choi, In & Lin, Rui & Shin, Yongcheol, 2023, "Canonical correlation-based model selection for the multilevel factors," Journal of Econometrics, Elsevier, volume 233, issue 1, pages 22-44, DOI: 10.1016/j.jeconom.2021.09.008.
• Guo, Xiao & Chen, Yu & Tang, Cheng Yong, 2023, "Information criteria for latent factor models: A study on factor pervasiveness and adaptivity," Journal of Econometrics, Elsevier, volume 233, issue 1, pages 237-250, DOI: 10.1016/j.jeconom.2022.03.005.
• Cai, Zongwu & Chen, Haiqiang & Liao, Xiaosai, 2023, "A new robust inference for predictive quantile regression," Journal of Econometrics, Elsevier, volume 234, issue 1, pages 227-250, DOI: 10.1016/j.jeconom.2021.10.012.
• Todorov, Viktor & Zhang, Yang, 2023, "Bias reduction in spot volatility estimation from options," Journal of Econometrics, Elsevier, volume 234, issue 1, pages 53-81, DOI: 10.1016/j.jeconom.2021.12.001.
• Brück, Florian & Fermanian, Jean-David & Min, Aleksey, 2023, "A corrected Clarke test for model selection and beyond," Journal of Econometrics, Elsevier, volume 235, issue 1, pages 105-132, DOI: 10.1016/j.jeconom.2021.12.013.
• Zhang, Xinyu & Liu, Chu-An, 2023, "Model averaging prediction by K-fold cross-validation," Journal of Econometrics, Elsevier, volume 235, issue 1, pages 280-301, DOI: 10.1016/j.jeconom.2022.04.007.
• La Vecchia, Davide & Moor, Alban & Scaillet, Olivier, 2023, "A higher-order correct fast moving-average bootstrap for dependent data," Journal of Econometrics, Elsevier, volume 235, issue 1, pages 65-81, DOI: 10.1016/j.jeconom.2022.01.008.
• Sun, Yuying & Hong, Yongmiao & Wang, Shouyang & Zhang, Xinyu, 2023, "Penalized time-varying model averaging," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1355-1377, DOI: 10.1016/j.jeconom.2022.09.007.
• Andersen, Torben G. & Riva, Raul & Thyrsgaard, Martin & Todorov, Viktor, 2023, "Intraday cross-sectional distributions of systematic risk," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1394-1418, DOI: 10.1016/j.jeconom.2022.11.001.
• Boot, Tom, 2023, "Joint inference based on Stein-type averaging estimators in the linear regression model," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1542-1563, DOI: 10.1016/j.jeconom.2023.01.006.
• Chen, Le-Yu & Lee, Sokbae, 2023, "Sparse quantile regression," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 2195-2217, DOI: 10.1016/j.jeconom.2023.02.014.