Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting with DSGE Models
2. Forecasting

2024

• 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, 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, Paradigm, 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.
• Yani Quarta Mondiana & Henny Pramoedyo & Atiek Iriany & Marjono, 2024, "Exploring Geographical Variability in Sugarcane Yields: A Geographically Weighted Panel Regression Approach with MM Estimation," Advances in Decision Sciences, Asia University, Taiwan, volume 28, issue 2, pages 35-65, June.
• Cheikh T. Ndour & Simplice A. Asongu, 2024, "Information Technology, Gender Economic Inclusion and Environment Sustainability in Sub-Sahara Africa," Working Papers of The Association for Promoting Women in Research and Development in Africa (ASPROWORDA)., The Association for Promoting Women in Research and Development in Africa (ASPROWORDA), number 24/004, Jan.
• Alban Moura & Olivier Pierrard, 2024, "Bayesian Evaluation of DSGE Models with Housing and Collateral Effects," Annals of Economics and Statistics, GENES, issue 155, pages 91-124, DOI: 10.2307/48795038.
• Gabrielli Florencia & Culós Verónica & Herrera Gómez Marcos & Willington Manuel, 2024, "Market power in the liquid fuels wholesale chain in Argentina: an empirical analysis," Asociación Argentina de Economía Política: Working Papers, Asociación Argentina de Economía Política, number 4732, Nov.
• Marian Nastase & Gabriel Croitoru & Nicoleta Valentina Florea & Nicoleta Cristache & Ramona Lile, 2024, "The Perceptions of Employees from Romanian Companies on Adoption of Artificial Intelligence in Recruitment and Selection Processes," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 26, issue 66, pages 421-421, Aprilie.
• Cheikh T. Ndour & Simplice A. Asongu, 2024, "Information Technology, Gender Economic Inclusion and Environment Sustainability in Sub-Sahara Africa," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 24/001, Jan.
• Kazeem B. Ajide & Olorunfemi Y. Alimi & Simplice A. Asongu, 2024, "Intelligence and its Effects on Environmental Decline: A Worldwide Analysis," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 24/017, Jan.
• Vrins, Frédéric & Wang, Linqi, 2024, "Asymmetric short-rate model without lower bound," LIDAM Reprints LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2024005, Jan, DOI: https://doi.org/10.1080/14697688.20.
• Algieri, Bernardina & Iania, Leonardo & Leccadito, Arturo & Meloni, Giulia, 2024, "Message in a bottle: Forecasting wine prices," LIDAM Reprints LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2024006, May, DOI: https://doi.org/10.1017/jwe.2024.3.
• Merve Kılınç Yılmaz & Yusuf Şahin & Kenan Oğuzhan Oruç, 2024, "Price Forecasting of Feed Raw Materials Used in Dairy Farming: A Methodological Comparison," Alphanumeric Journal, Bahadir Fatih Yildirim, volume 12, issue 3, pages 249-280, December, DOI: https://doi.org/10.17093/alphanumer.
• Адилханова Зарина // Adilkhanova Zarina & Ержан Ислам // Yerzhan Islam, 2024, "Система селективно - комбинированного прогноза инфляции (SSCIF)// Selective-Combined Inflation Forecasting System," Working Papers, National Bank of Kazakhstan, number #2024-13.
• Alberto Vindas-Quesada & Carlos Brenes-Soto & Adriana Sandí-Esquivel & Susan Jiménez-Montero, 2024, "Univariate inflation forecasts in Costa Rica: model evaluation and selection," Notas Técnicas, Banco Central de Costa Rica, number 2405, Oct.
• Jose Pablo Barquero-Romero, 2024, "The Transmission of the Monetary Policy Rate in Costa Rica, 2018-2024," Notas Técnicas, Banco Central de Costa Rica, number 2406, Dec.
• Anna A. Maigur, 2024, "Machine learning algorithms for predicting unemployment duration in Russia," Russian Journal of Economics, ARPHA Platform, volume 10, issue 4, pages 365-384, December, DOI: 10.32609/j.ruje.10.128611.
• Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2024, "Model Averaging and Double Machine Learning," Papers, arXiv.org, number 2401.01645, Jan, revised Sep 2024.
• Takaaki Koike & Cathy W. S. Chen & Edward M. H. Lin, 2024, "Forecasting and Backtesting Gradient Allocations of Expected Shortfall," Papers, arXiv.org, number 2401.11701, Jan, revised Jun 2024.
• Arnaud Dufays & Aristide Houndetoungan & Alain Coen, 2024, "Selective linear segmentation for detecting relevant parameter changes," Papers, arXiv.org, number 2402.05329, Feb.
• Bryan Kelly & Boris Kuznetsov & Semyon Malamud & Yuan Zhang, 2024, "Large and Deep Factor Models," Papers, arXiv.org, number 2402.06635, Jan, revised Jun 2026.
• Alexander Mayer & Dominik Wied & Victor Troster, 2024, "Quantile Granger Causality in the Presence of Instability," Papers, arXiv.org, number 2402.09744, Feb, revised Dec 2024.
• Daniele Ballinari, 2024, "Calibrating doubly-robust estimators with unbalanced treatment assignment," Papers, arXiv.org, number 2403.01585, Mar, revised Jun 2024.
• Giovanni Angelini & Luca Fanelli & Luca Neri, 2024, "Invalid proxies and volatility changes," Papers, arXiv.org, number 2403.08753, Mar, revised Nov 2025.
• Jannik Kreye & Philipp Sibbertsen, 2024, "Testing for a Forecast Accuracy Breakdown under Long Memory," Papers, arXiv.org, number 2409.07087, Sep.
• Igor Martins & Hedibert Freitas Lopes, 2024, "What events matter for exchange rate volatility ?," Papers, arXiv.org, number 2411.16244, Nov.
• Jens Ludwig & Sendhil Mullainathan & Ashesh Rambachan, 2024, "Large Language Models: An Applied Econometric Framework," Papers, arXiv.org, number 2412.07031, Dec, revised Dec 2025.
• Manuel Benazic & Dean Uckar, 2024, "The Impact Of Selected Macroeconomic Variables On House Prices In Croatia," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, volume 33, issue 1, pages 65-88, june, DOI: 10.17818/EMIP/2024/1.4.
• Ivana Bekic & Jadranka Ivanković & Magdalena Bednjanec, 2024, "Extroversion-Introversion Dimension Of The Hult Prize Participants Due To Creative Innovation Process," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, volume 33, issue 2, pages 405-424, December, DOI: 10.17818/EMIP/2024/2.3.
• Xiaohang Ren & Kang Yuan & Lizhu Tao & Cheng Yan, 2024, "Carbon Prices Forecasting Using Group Information," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, volume 4, issue 4, pages 1-6, DOI: 2024/07/09.
• Liyang Sun, 2024, "Empirical welfare maximization with constraints," CeMMAP working papers, Institute for Fiscal Studies, number 19/24, Oct, DOI: 10.47004/wp.cem.2024.1924.
• Svetoslav Borisov, 2024, "Bitcoin – Hedge or Speculative Asset: Analysis of Its Role and Nature," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 148-170.
• Rizwan Raheem Ahmed & Dalia Streimikiene & Justas Streimikis & Indre Siksnelyte-Butkiene, 2024, "A comparative analysis of multivariate approaches for data analysis in management sciences," E&M Economics and Management, Technical University of Liberec, Faculty of Economics, volume 27, issue 1, pages 192-210, March, DOI: 10.15240/tul/001/2024-5-001.
• Musrrat Parveen & Amal Awadh Hadi Alshehri, 2024, "Factors influencing career sustainability in Saudi Arabian banks: A PLS-SEM analysis," E&M Economics and Management, Technical University of Liberec, Faculty of Economics, volume 27, issue 3, pages 154-171, September, DOI: 10.15240/tul/001/2024-5-010.
• Jeffrey Mollins & Rachit Lumb, 2024, "Seasonal Adjustment of Weekly Data," Discussion Papers, Bank of Canada, number 2024-17, Nov, DOI: 10.34989/sdp-2024-17.
• Esther Cáceres, 2024, "The predictive power of house price imbalance indicators," Economic Bulletin, Banco de España, issue 2024/Q3, DOI: https://doi.org/10.53479/37605.
• Simone Narizzano & Marco Orlandi & Antonio Scalia, 2024, "The Bank of Italy’s statistical model for the credit assessment of non-financial firms," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems), Bank of Italy, Directorate General for Markets and Payment System, number 53, Oct.
• Gary Cornwall & Marina Gindelsky, 2024, "Nowcasting Distributional National Accounts for the United States: A Machine Learning Approach," BEA Papers, Bureau of Economic Analysis, number 0130, Sep.
• Juan R. Hernández, 2024, "Covered interest parity: a forecasting approach to estimate the neutral band," BIS Working Papers, Bank for International Settlements, number 1206, Aug.
• Urmat Dzhunkeev, 2024, "Forecasting Inflation in Russia Using Gradient Boosting and Neural Networks," Russian Journal of Money and Finance, Bank of Russia, volume 83, issue 1, pages 53-76, March.
• Alexandra Bozhechkova & Urmat Dzhunkeev, 2024, "CLARA and CARLSON: Combination of Ensemble and Neural Network Machine Learning Methods for GDP Forecasting," Russian Journal of Money and Finance, Bank of Russia, volume 83, issue 3, pages 45-69, September.
• Matteo Picchio & Michele Ubaldi, 2024, "Unemployment and health: A meta‐analysis," Journal of Economic Surveys, Wiley Blackwell, volume 38, issue 4, pages 1437-1472, September, DOI: 10.1111/joes.12588.
• Hui Chen & Winston Wei Dou & Leonid Kogan, 2024, "Measuring “Dark Matter” in Asset Pricing Models," Journal of Finance, American Finance Association, volume 79, issue 2, pages 843-902, April, DOI: 10.1111/jofi.13317.
• Federica Ciocchetta & Elisa Guglielminetti & Alessandro Mistretta, 2024, "What Drives House Prices in Europe?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, volume 86, issue 5, pages 1089-1121, October, DOI: 10.1111/obes.12601.
• PARTACHI Ion & MIJA Simion, 2024, "Moldova Gdp Forecasting Using Bayesian Multivariate Models," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, volume 76, issue 1, pages 85-93, March, DOI: 10.56043/reveco-2024-0008.
• PARTACHI Ion & MIJA Simion & HERTELIU Claudiu, 2024, "Analysis Of The Impact Of Covid-19 On Key Demographic Indicators In Romania And Moldova Using Econometric Modeling," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, volume 76, issue 4, pages 132-139, December, DOI: 10.56043/reveco-2024-0038.
• Yong Li & Sushanta K. Mallick & Nianling Wang & Jun Yu & Tao Zeng, 2024, "Deviance Information Criterion for Model Selection:Theoretical Justification and Applications," Working Papers, University of Macau, Faculty of Business Administration, number 202415, Aug.
• Yong Li & Zhou Wu & Jun Yu & Tao Zeng, 2024, "A Note on AIC and TIC for Model Selection," Working Papers, University of Macau, Faculty of Business Administration, number 202420, Nov.
• Chuanglian Chen & Xiaobin Liu & Jun Yu & Tao Zeng, 2024, "The Time-varying Zone-like and Asymmetric Preference of Central Banks: Evidence from China," Working Papers, University of Macau, Faculty of Business Administration, number 202421, Nov.
• Giovanni Angelini & Luca Fanelli & Luca Neri, 2024, "Invalid proxies and volatility changes," Working Papers, Dipartimento Scienze Economiche, Universita' di Bologna, number wp1193, Mar.
• Cummins Joseph & Miller Douglas L. & Smith Brock & Simon David, 2024, "Matching on Noise: Finite Sample Bias in the Synthetic Control Estimator," Journal of Econometric Methods, De Gruyter, volume 13, issue 1, pages 67-95, January, DOI: 10.1515/jem-2021-0019.
• Xu Yongdeng, 2024, "Quasi Maximum Likelihood Estimation of Vector Multiplicative Error Model using the ECCC-GARCH Representation," Journal of Time Series Econometrics, De Gruyter, volume 16, issue 1, pages 1-27, DOI: 10.1515/jtse-2022-0018.
• Yang Lixiong, 2024, "High dimensional threshold model with a time-varying threshold based on Fourier approximation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 28, issue 1, pages 83-117, February, DOI: 10.1515/snde-2021-0047.
• Chernis Tony, 2024, "Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 28, issue 2, pages 293-317, April, DOI: 10.1515/snde-2022-0108.
• Jacobi Liana & Kwok Chun Fung & Ramírez-Hassan Andrés & Nghiem Nhung, 2024, "Posterior Manifolds over Prior Parameter Regions: Beyond Pointwise Sensitivity Assessments for Posterior Statistics from MCMC Inference," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 28, issue 2, pages 403-434, April, DOI: 10.1515/snde-2022-0116.
• Ayala Astrid & Blazsek Szabolcs & Licht Adrian, 2024, "Volatility Forecasting Using Quasi-Score-Driven Models with an Application to the Coronavirus Pandemic Period," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 28, issue 5, pages 785-805, DOI: 10.1515/snde-2022-0085.
• Delgado, M. A. & Vainora, J., 2026, "Conditional Distribution Specification Testing Based on Data-Dependent Partitions," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2440, Sep.
• Jemesa Landers & Tom Coupé & Andrea Menclova, 2024, "The Long-Term Impact of Experiencing War on Life Satisfaction: Evidence from the Life in Transition Survey," Working Papers in Economics, University of Canterbury, Department of Economics and Finance, number 24/12, Aug.
• Xu, Yongdeng & Guan, Bo & Lu, Wenna & Heravi, Saeed, 2024, "Macroeconomic shocks and volatility spillovers between stock, bond, gold and crude oil markets," Cardiff Economics Working Papers, Cardiff University, Cardiff Business School, Economics Section, number E2024/15, Jul.
• Rodrigo Adao & Arnaud Costinot & Dave Donaldson, 2024, "Putting quantitative models to the test: An application to Trump's trade war," CEP Discussion Papers, Centre for Economic Performance, LSE, number dp2002, Jun.
• Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2024, "The information matrix test for Gaussian mixtures," Working Papers, CEMFI, number wp2024_2401, Feb.
• Briggs, Joseph & Caplin, Andrew & Leth-Petersen, Søren & Tonetti, Christopher, 2024, "Identification of Marginal Treatment Effects using Subjective Expectations," CEPR Discussion Papers, Centre for Economic Policy Research, number 18995, Apr.
• Danieli, Oren & Nevo, Daniel & Walk, Itai & Weinstein, Bar & Zeltzer, Dan, 2024, "Negative Control Falsification Tests for Instrumental Variable Designs," CEPR Discussion Papers, Centre for Economic Policy Research, number 19127, Jun.
• Inoue, Atsushi & Kilian, Lutz, 2024, "When Is the Use of Gaussian-inverse Wishart-Haar Priors Appropriate?," CEPR Discussion Papers, Centre for Economic Policy Research, number 19227, Jul.
• Baumeister, Christiane & Huber, Florian & Lee, Thomas K. & Ravazzolo, Francesco, 2024, "Forecasting Natural Gas Prices in Real Time," CEPR Discussion Papers, Centre for Economic Policy Research, number 19669, Nov.
• Blazsek, Szabolcs & Escribano, Álvaro & Kristóf, Erzsébet, 2024, "Global, Arctic, and Antarctic sea ice volume predictions: using score-driven threshold climate models," UC3M Working papers. Economics, Universidad Carlos III de Madrid. Departamento de Economía, number 39546, Jan.
• Blazsek, Szabolcs & Escribano, Álvaro & Licht, Adrian, 2024, "Anthropogenic effects of climate change: Further evidence from a fractionally integrated ice-age model," UC3M Working papers. Economics, Universidad Carlos III de Madrid. Departamento de Economía, number 44712, Oct.
• Choi, Jaedo & Moon, Hyungsik Roger & Cho, Jin Seo, 2024, "Sequentially Estimating The Structural Equation By Power Transformation," Econometric Theory, Cambridge University Press, volume 40, issue 1, pages 98-161, February.
• Shi, Ruoyao, 2024, "An Averaging Estimator For Two-Step M-Estimation In Semiparametric Models," Econometric Theory, Cambridge University Press, volume 40, issue 3, pages 652-687, June.
• Algieri, Bernardina & Iania, Leonardo & Leccadito, Arturo & Meloni, Giulia, 2024, "Message in a bottle: Forecasting wine prices," Journal of Wine Economics, Cambridge University Press, volume 19, issue 1, pages 64-91, February.
• Cheikh T. Ndour & Simplice A. Asongu, 2024, "Information Technology, Gender Economic Inclusion and Environment Sustainability in Sub-Sahara Africa," Journal of Africa SEER Centre(ASC), Africa SEER Centre(ASC), number 24/001, Jan.
• Cheikh T. Ndour & Simplice A. Asongu, 2024, "Information Technology, Gender Economic Inclusion and Environment Sustainability in Sub-Sahara Africa," Journal of Africa SEER Centre(ASC), Africa SEER Centre(ASC), number 24/003, Jan.
• Kazeem B. Ajide & Olorunfemi Y. Alimi & Simplice A. Asongu, 2024, "Intelligence and its Effects on Environmental Decline: A Worldwide Analysis," Journal of Africa SEER Centre(ASC), Africa SEER Centre(ASC), number 24/004, Jan.
• Allayioti, Anastasia & Venditti, Fabrizio, 2024, "The role of comovement and time-varying dynamics in forecasting commodity prices," Working Paper Series, European Central Bank, number 2901, Feb.
• Linzenich, Jan & Meunier, Baptiste, 2024, "Nowcasting Made Easier: a toolbox for economists," Working Paper Series, European Central Bank, number 3004, Dec.
• Siphat Lim & Edman Flores & Casey Barnett, 2024, "Analyzing the Effectiveness of a System of Equation Model in Comparison to Single Equation Models for Predicting General Price Level in Cambodia," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, volume 14, issue 5, pages 156-166, September.
• Ilyes Abidi & Mariem Nsaibi, 2024, "Assessing the Impact of Renewable Energy in Mitigating Climate Change: A Comprehensive Study on Effectiveness and Adaptation Support," International Journal of Energy Economics and Policy, International Journal of Energy Economics and Policy, volume 14, issue 3, pages 442-454, May.
• Adhitya Nugraha & Hermanto Siregar & Idqan Fahmi & Zenal Asikin & Dikky Indrawan & Harianto Harianto & Salis Aprilian, 2024, "Identification of Factors Affecting Net Zero Emission Level in Indonesia," International Journal of Energy Economics and Policy, International Journal of Energy Economics and Policy, volume 14, issue 5, pages 203-210, September.
• Dmitry Kulikov & Nicolas Reigl, 2024, "The natural rate of unemployment in Estonia: empirical determinants and a new semi-structural model," Bank of Estonia Working Papers, Bank of Estonia, number wp2023-6, Feb, revised 23 Feb 2024.
• Barde, Sylvain, 2024, "Bayesian estimation of large-scale simulation models with Gaussian process regression surrogates," Computational Statistics & Data Analysis, Elsevier, volume 196, issue C, DOI: 10.1016/j.csda.2024.107972.
• Cordoni, Francesco & Dorémus, Nicolas & Moneta, Alessio, 2024, "Identification of vector autoregressive models with nonlinear contemporaneous structure," Journal of Economic Dynamics and Control, Elsevier, volume 162, issue C, DOI: 10.1016/j.jedc.2024.104852.
• Wu, Frank C.Z., 2024, "A high-dimensional additive nonparametric model," Journal of Economic Dynamics and Control, Elsevier, volume 166, issue C, DOI: 10.1016/j.jedc.2024.104916.
• Sethi, Chandan & Mishra, Bibhuti Ranjan & Sethi, Dinabandhu, 2024, "Exploring the nexus between inflation targeting and exchange market pressure: Evidence from the global financial crisis," Economic Analysis and Policy, Elsevier, volume 84, issue C, pages 1359-1369, DOI: 10.1016/j.eap.2024.10.027.
• Crespo Cuaresma, Jesús & Fernández, Oscar, 2024, "Explaining long-term bond yields synchronization dynamics in Europe," Economic Modelling, Elsevier, volume 133, issue C, DOI: 10.1016/j.econmod.2024.106684.
• Arbués, Ignacio & Matilla-García, Mariano, 2024, "Multibenchmark reality checks," Economic Modelling, Elsevier, volume 140, issue C, DOI: 10.1016/j.econmod.2024.106848.
• Hampl, Filip & Vágnerová Linnertová, Dagmar & Horváth, Matúš, 2024, "Crypto havens during war times? Evidence from the Russian invasion of Ukraine," The North American Journal of Economics and Finance, Elsevier, volume 71, issue C, DOI: 10.1016/j.najef.2024.102093.
• Canepa, Alessandra, 2024, "Inflation dynamics and persistence: The importance of the uncertainty channel," The North American Journal of Economics and Finance, Elsevier, volume 72, issue C, DOI: 10.1016/j.najef.2024.102135.
• Bufalo, Michele & Ceci, Claudia & Orlando, Giuseppe, 2024, "Addressing the financial impact of natural disasters in the era of climate change," The North American Journal of Economics and Finance, Elsevier, volume 73, issue C, DOI: 10.1016/j.najef.2024.102152.
• Zhao, Jing, 2024, "Impact of green finance on low-carbon transformation: Spatial spillover effects in China," The North American Journal of Economics and Finance, Elsevier, volume 74, issue C, DOI: 10.1016/j.najef.2024.102202.
• Ren, Tingting & Li, Shaofang & Zhang, Siying, 2024, "Stock market extreme risk prediction based on machine learning: Evidence from the American market," The North American Journal of Economics and Finance, Elsevier, volume 74, issue C, DOI: 10.1016/j.najef.2024.102241.
• Ballinari, Daniele, 2024, "Calibrating doubly-robust estimators with unbalanced treatment assignment," Economics Letters, Elsevier, volume 241, issue C, DOI: 10.1016/j.econlet.2024.111838.
• Tu, Yundong & Wang, Siwei, 2024, "Selection inconsistency for factor-augmented regressions," Economics Letters, Elsevier, volume 241, issue C, DOI: 10.1016/j.econlet.2024.111840.
• Cerulli, Giovanni, 2024, "Optimal initial donor selection for the synthetic control method," Economics Letters, Elsevier, volume 244, issue C, DOI: 10.1016/j.econlet.2024.111976.
• Hajivassiliou, Vassilis & Savignac, Frédérique, 2024, "Simultaneously Incomplete and Incoherent (SII) Dynamic LDV Models: With an Application to Financing Constraints and Firms’ Decision to Innovate," Journal of Econometrics, Elsevier, volume 238, issue 1, DOI: 10.1016/j.jeconom.2023.105546.
• Angelini, Giovanni & Cavaliere, Giuseppe & Fanelli, Luca, 2024, "An identification and testing strategy for proxy-SVARs with weak proxies," Journal of Econometrics, Elsevier, volume 238, issue 2, DOI: 10.1016/j.jeconom.2023.105604.
• He, Changli & Kang, Jian & Silvennoinen, Annastiina & Teräsvirta, Timo, 2024, "Long monthly temperature series and the Vector Seasonal Shifting Mean and Covariance Autoregressive model," Journal of Econometrics, Elsevier, volume 239, issue 1, DOI: 10.1016/j.jeconom.2023.105494.
• Jiao, Xiyu & Pretis, Felix & Schwarz, Moritz, 2024, "Testing for coefficient distortion due to outliers with an application to the economic impacts of climate change," Journal of Econometrics, Elsevier, volume 239, issue 1, DOI: 10.1016/j.jeconom.2023.105547.
• Diebold, Francis X. & Rudebusch, Glenn D. & Göbel, Maximilian & Goulet Coulombe, Philippe & Zhang, Boyuan, 2024, "Reprint of: When will Arctic sea ice disappear? Projections of area, extent, thickness, and volume," Journal of Econometrics, Elsevier, volume 239, issue 1, DOI: 10.1016/j.jeconom.2023.105645.
• Li, Yifan & Nolte, Ingmar & Pham, Manh Cuong, 2024, "Parametric risk-neutral density estimation via finite lognormal-Weibull mixtures," Journal of Econometrics, Elsevier, volume 241, issue 2, DOI: 10.1016/j.jeconom.2024.105748.
• Amengual, Dante & Fiorentini, Gabriele & Sentana, Enrique, 2024, "Specification tests for non-Gaussian structural vector autoregressions," Journal of Econometrics, Elsevier, volume 244, issue 2, DOI: 10.1016/j.jeconom.2024.105803.
• Armillotta, Mirko & Gorgi, Paolo, 2024, "Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models," Journal of Econometrics, Elsevier, volume 246, issue 1, DOI: 10.1016/j.jeconom.2024.105894.
• Chudik, Alexander & Pesaran, M. Hashem & Sharifvaghefi, Mahrad, 2024, "Variable selection in high dimensional linear regressions with parameter instability," Journal of Econometrics, Elsevier, volume 246, issue 1, DOI: 10.1016/j.jeconom.2024.105900.
• Bermudez, P. de Zea & Marín, J. Miguel & Rue, Håvard & Veiga, Helena, 2024, "Integrated nested Laplace approximations for threshold stochastic volatility models," Econometrics and Statistics, Elsevier, volume 30, issue C, pages 15-35, DOI: 10.1016/j.ecosta.2021.08.006.
• Ahelegbey, Daniel Felix & Billio, Monica & Casarin, Roberto, 2024, "Modeling Turning Points in the Global Equity Market," Econometrics and Statistics, Elsevier, volume 30, issue C, pages 60-75, DOI: 10.1016/j.ecosta.2021.10.004.
• Quainoo, Ruth & Howard, Gregory & Gaur, Vasundhara & Lang, Corey, 2024, "Model choice and framing effects: Do discrete choice modeling decisions affect loss aversion estimates?," Journal of choice modelling, Elsevier, volume 53, issue C, DOI: 10.1016/j.jocm.2024.100524.
• Branco, Rafael R. & Rubesam, Alexandre & Zevallos, Mauricio, 2024, "Forecasting realized volatility: Does anything beat linear models?," Journal of Empirical Finance, Elsevier, volume 78, issue C, DOI: 10.1016/j.jempfin.2024.101524.
• Bonaccolto, Giovanni & Caporin, Massimiliano & Iacopini, Matteo, 2024, "Extreme time-varying spillovers between high carbon emission stocks, green bond and crude oil: Comment," Energy Economics, Elsevier, volume 132, issue C, DOI: 10.1016/j.eneco.2024.107469.
• Tselika, Kyriaki & Tselika, Maria & Demetriades, Elias, 2024, "Quantifying the short-term asymmetric effects of renewable energy on the electricity merit-order curve," Energy Economics, Elsevier, volume 132, issue C, DOI: 10.1016/j.eneco.2024.107471.
• Haas, Christian & Budin, Constantin & d’Arcy, Anne, 2024, "How to select oil price prediction models — The effect of statistical and financial performance metrics and sentiment scores," Energy Economics, Elsevier, volume 133, issue C, DOI: 10.1016/j.eneco.2024.107466.
• Blazsek, Szabolcs & Escribano, Alvaro & Kristof, Erzsebet, 2024, "Global, Arctic, and Antarctic sea ice volume predictions using score-driven threshold climate models," Energy Economics, Elsevier, volume 134, issue C, DOI: 10.1016/j.eneco.2024.107591.
• Xu, Yongdeng & Guan, Bo & Lu, Wenna & Heravi, Saeed, 2024, "Macroeconomic shocks and volatility spillovers between stock, bond, gold and crude oil markets," Energy Economics, Elsevier, volume 136, issue C, DOI: 10.1016/j.eneco.2024.107750.
• Zhang, Bo & Nguyen, Bao H. & Sun, Chuanwang, 2024, "Forecasting oil prices: Can large BVARs help?," Energy Economics, Elsevier, volume 137, issue C, DOI: 10.1016/j.eneco.2024.107805.
• Tian, Guangning & Peng, Yuchao & Du, Huancheng & Meng, Yuhao, 2024, "Forecasting crude oil returns in different degrees of ambiguity: Why machine learn better?," Energy Economics, Elsevier, volume 139, issue C, DOI: 10.1016/j.eneco.2024.107867.
• Çağlayan-Akay, Ebru & Topal, Kadriye Hilal, 2024, "Forecasting Turkish electricity consumption: A critical analysis of single and hybrid models," Energy, Elsevier, volume 305, issue C, DOI: 10.1016/j.energy.2024.132115.
• Michalski, Lachlan & Low, Rand Kwong Yew, 2024, "Determinants of corporate credit ratings: Does ESG matter?," International Review of Financial Analysis, Elsevier, volume 94, issue C, DOI: 10.1016/j.irfa.2024.103228.
• Esparcia, Carlos & Escribano, Ana & Jareño, Francisco, 2024, "Assessing the crypto market stability after the FTX collapse: A study of high frequency volatility and connectedness," International Review of Financial Analysis, Elsevier, volume 94, issue C, DOI: 10.1016/j.irfa.2024.103287.
• Heger, Julia & Min, Aleksey & Zagst, Rudi, 2024, "Analyzing credit spread changes using explainable artificial intelligence," International Review of Financial Analysis, Elsevier, volume 94, issue C, DOI: 10.1016/j.irfa.2024.103315.
• Cakici, Nusret & Zaremba, Adam, 2024, "What drives stock returns across countries? Insights from machine learning models," International Review of Financial Analysis, Elsevier, volume 96, issue PA, DOI: 10.1016/j.irfa.2024.103569.
• Escobar-Anel, Marcos & Spies, Ben & Zagst, Rudi, 2024, "Mean–variance optimization under affine GARCH: A utility-based solution," Finance Research Letters, Elsevier, volume 59, issue C, DOI: 10.1016/j.frl.2023.104749.
• Reesor, R. Mark & Stentoft, Lars & Zhu, Xiaotian, 2024, "A critical analysis of the Weighted Least Squares Monte Carlo method for pricing American options," Finance Research Letters, Elsevier, volume 64, issue C, DOI: 10.1016/j.frl.2024.105379.
• Jing, Zhongbo & Li, Qin & Zhao, Hongyi & Zhao, Yang, 2024, "Predicting stock price crash risk in China: A modified graph WaveNet model," Finance Research Letters, Elsevier, volume 64, issue C, DOI: 10.1016/j.frl.2024.105468.
• Zhang, Aoran & Zhou, Chunyang, 2024, "A closed-form solution for spot volatility from options under limited data," Finance Research Letters, Elsevier, volume 67, issue PA, DOI: 10.1016/j.frl.2024.105841.
• Li, Chenxing & Zhang, Zehua & Zhao, Ran, 2024, "Volatility or higher moments: Which is more important in return density forecasts of stochastic volatility model?," Finance Research Letters, Elsevier, volume 67, issue PB, DOI: 10.1016/j.frl.2024.105824.
• Escobar-Anel, Marcos & Stentoft, Lars & Ye, Xize, 2024, "Not all VIXs are (Informationally) equal: Evidence from affine GARCH option pricing models," Finance Research Letters, Elsevier, volume 69, issue PA, DOI: 10.1016/j.frl.2024.106053.
• Jiang, Fuwei & Ma, Tian & Zhu, Feifei, 2024, "Fundamental characteristics, machine learning, and stock price crash risk," Journal of Financial Markets, Elsevier, volume 69, issue C, DOI: 10.1016/j.finmar.2024.100908.
• Segnon, Mawuli & Gupta, Rangan & Wilfling, Bernd, 2024, "Forecasting stock market volatility with regime-switching GARCH-MIDAS: The role of geopolitical risks," International Journal of Forecasting, Elsevier, volume 40, issue 1, pages 29-43, DOI: 10.1016/j.ijforecast.2022.11.007.
• Gonzalo, Jesús & Pitarakis, Jean-Yves, 2024, "Out-of-sample predictability in predictive regressions with many predictor candidates," International Journal of Forecasting, Elsevier, volume 40, issue 3, pages 1166-1178, DOI: 10.1016/j.ijforecast.2023.10.005.
• Cox, James C. & Sadiraj, Vjollca & Walker, James M., 2024, "Power asymmetry in repeated play of provision and appropriation games," Journal of Economic Behavior & Organization, Elsevier, volume 220, issue C, pages 222-236, DOI: 10.1016/j.jebo.2024.02.006.
• Cao, Cong, 2024, "How to better predict the effect of urban traffic and weather on air pollution? Norwegian evidence from machine learning approaches," Journal of Economic Behavior & Organization, Elsevier, volume 221, issue C, pages 544-569, DOI: 10.1016/j.jebo.2024.03.018.
• Martinoli, Mario & Moneta, Alessio & Pallante, Gianluca, 2024, "Calibration and validation of macroeconomic simulation models by statistical causal search," Journal of Economic Behavior & Organization, Elsevier, volume 228, issue C, DOI: 10.1016/j.jebo.2024.106786.
• Belo, Frederico & Deng, Yao & Salomao, Juliana, 2024, "Estimating and testing investment-based asset pricing models," Journal of Financial Economics, Elsevier, volume 162, issue C, DOI: 10.1016/j.jfineco.2024.103945.
• Ringstad, Ingrid Emilie Flessum & Tselika, Kyriaki, 2024, "Connectedness between green bonds, clean energy markets and carbon quota prices: Time and frequency dynamics," Journal of Commodity Markets, Elsevier, volume 36, issue C, DOI: 10.1016/j.jcomm.2024.100442.
• Cavicchioli, Maddalena, 2024, "A matrix unified framework for deriving various impulse responses in Markov switching VAR: Evidence from oil and gas markets," The Journal of Economic Asymmetries, Elsevier, volume 29, issue C, DOI: 10.1016/j.jeca.2023.e00349.
• Auteri, Monica & Cremaschini, Alessandro, 2024, "Ownership or procurement, which matters? exploring asymmetries in local public transportation in Italy through a semi-parametric approach," The Journal of Economic Asymmetries, Elsevier, volume 30, issue C, DOI: 10.1016/j.jeca.2024.e00377.
• Georgalos, Konstantinos, 2024, "Gender effects for loss aversion: A reconsideration," Journal of Economic Psychology, Elsevier, volume 105, issue C, DOI: 10.1016/j.joep.2024.102760.
• Potts, Todd B. & Yerger, David B., 2024, "The macroeconomic impact of energy price shocks: Threshold effects and the fracking boom," Resources Policy, Elsevier, volume 90, issue C, DOI: 10.1016/j.resourpol.2024.104772.
• Ho, Paul & Lubik, Thomas A. & Matthes, Christian, 2024, "Averaging impulse responses using prediction pools," Journal of Monetary Economics, Elsevier, volume 146, issue C, DOI: 10.1016/j.jmoneco.2024.103571.
• Chuang, O-Chia & Chuang, Hui-Ching & Wang, Zixuan & Xu, Jin, 2024, "Profitability of technical trading rules in the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, volume 84, issue C, DOI: 10.1016/j.pacfin.2024.102278.
• Pan, Ging-Ginq & Shiu, Yung-Ming & Wu, Tu-Cheng, 2024, "Extrapolation and option-implied kurtosis in volatility forecasting," Pacific-Basin Finance Journal, Elsevier, volume 84, issue C, DOI: 10.1016/j.pacfin.2024.102286.
• Manner, Hans & Rodríguez, Gabriel & Stöckler, Florian, 2024, "A changepoint analysis of exchange rate and commodity price risks for Latin American stock markets," International Review of Economics & Finance, Elsevier, volume 89, issue PA, pages 1385-1403, DOI: 10.1016/j.iref.2023.08.021.
• Gabauer, David & Gupta, Rangan & Marfatia, Hardik A. & Miller, Stephen M., 2024, "Estimating U.S. housing price network connectedness: Evidence from dynamic Elastic Net, Lasso, and ridge vector autoregressive models," International Review of Economics & Finance, Elsevier, volume 89, issue PB, pages 349-362, DOI: 10.1016/j.iref.2023.10.013.
• Garcia-Jorcano, Laura & Sanchis-Marco, Lidia, 2024, "Forecasting the effect of extreme sea-level rise on financial market risk," International Review of Economics & Finance, Elsevier, volume 93, issue PB, pages 1-27, DOI: 10.1016/j.iref.2024.03.079.
• Li, Zhao-Chen & Xie, Chi & Wang, Gang-Jin & Zhu, You & Zeng, Zhi-Jian & Gong, Jue, 2024, "Forecasting global stock market volatilities: A shrinkage heterogeneous autoregressive (HAR) model with a large cross-market predictor set," International Review of Economics & Finance, Elsevier, volume 93, issue PB, pages 673-711, DOI: 10.1016/j.iref.2024.05.008.
• Li, Zhe & Liang, Shuguang & Pan, Xianyou & Pang, Meng, 2024, "Credit risk prediction based on loan profit: Evidence from Chinese SMEs," Research in International Business and Finance, Elsevier, volume 67, issue PA, DOI: 10.1016/j.ribaf.2023.102155.
• Esparcia, Carlos & López, Raquel, 2024, "Performance of crypto-Forex portfolios based on intraday data," Research in International Business and Finance, Elsevier, volume 69, issue C, DOI: 10.1016/j.ribaf.2024.102217.
• Coleman, Thomas S., 2024, "Re-evaluating John Snow's 1856 south London study," Social Science & Medicine, Elsevier, volume 344, issue C, DOI: 10.1016/j.socscimed.2024.116612.
• Bailly, Hugo & Mortier, Frédéric & Giraud, Gaël, 2024, "Empirical analysis of a debt-augmented Goodwin model for the United States," Structural Change and Economic Dynamics, Elsevier, volume 70, issue C, pages 619-633, DOI: 10.1016/j.strueco.2024.05.020.
• Yang, Jinyu & Dong, Dayong & Liang, Chao, 2024, "Climate policy uncertainty and the U.S. economic cycle," Technological Forecasting and Social Change, Elsevier, volume 202, issue C, DOI: 10.1016/j.techfore.2024.123344.

2023

• 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.
• Oussama CHELLAF & Rachid CHAABITA, 2023, "Détermination empirique de la taille fiscale au Maroc," International Journal of Accounting, Finance, Auditing, Management and Economics, Faculté d'Économie et de Gestion, Université Ibn Tofaïl de Kénitra, volume 4, issue 3-2, pages 661-676.
• Ghizlan LOUMRHARI & Mohamed SIMOH, 2023, "Essai d’estimation de la fonction de réaction de la banque centrale du Maroc," International Journal of Accounting, Finance, Auditing, Management and Economics, Faculté d'Économie et de Gestion, Université Ibn Tofaïl de Kénitra, volume 4, issue 4-2, pages 141-155.
• Oulaa EL OUAHABI, 2023, "Méthodes d’évaluation des politiques publiques : une revue de littérature conceptuelle," International Journal of Accounting, Finance, Auditing, Management and Economics, Faculté d'Économie et de Gestion, Université Ibn Tofaïl de Kénitra, volume 4, issue 5-1, pages 514-531.
• Laila SOULHI, 2023, "Modélisation statistique de la liquidité boursière : Cas du Maroc," International Journal of Accounting, Finance, Auditing, Management and Economics, Faculté d'Économie et de Gestion, Université Ibn Tofaïl de Kénitra, volume 4, issue 5-2, pages 101-119.
• 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.
• Avaz Yusibov, 2023, "Short-term inflation forecasting models with Bayesian VAR: Evidence from Azerbaijan," Working Papers, Central Bank of Azerbaijan Republic, number 2304, Nov.