Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting with DSGE Models
2. Forecasting

2023

• Clarke, Damian & Pailañir, Daniel & Athey, Susan & Imbens, Guido W., 2023, "Synthetic Difference-in-Differences Estimation," IZA Discussion Papers, IZA Network @ LISER, number 15907, Jan.
• Gehr, Katja & Pflüger, Michael P., 2023, "The Worth of Cities in Germany," IZA Discussion Papers, IZA Network @ LISER, number 16127, May.
• Millimet, Daniel L. & Bellemare, Marc, 2023, "Fixed Effects and Causal Inference," IZA Discussion Papers, IZA Network @ LISER, number 16202, Jun.
• Dong, Hao & Millimet, Daniel L., 2023, "Embrace the Noise: It Is OK to Ignore Measurement Error in a Covariate, Sometimes," IZA Discussion Papers, IZA Network @ LISER, number 16508, Oct.
• Haowen Bao & Zongwu Cai & Yuying Sun & Shouyang Wang, 2023, "Penalized Model Averaging for High Dimensional Quantile Regressions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202302, Jan.
• Shahnaz Parsaeian, 2023, "Structural Breaks in Seemingly Unrelated Regression Models," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202308, Aug.
• Haowen Bao & Zongwu Cai & Yuying Sun & Shouyang Wang, 2023, "Penalized Optimal Forecast Combination for Quantile Regressions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202514, Jan, revised May 2025.
• Carlo Marinelli & Stefano d’Addona, 2023, "Nonparametric estimates of option prices via Hermite basis functions," Annals of Finance, Springer, volume 19, issue 4, pages 477-522, December, DOI: 10.1007/s10436-023-00431-4.
• Jan Matas & Jan Pospíšil, 2023, "Robustness and sensitivity analyses of rough Volterra stochastic volatility models," Annals of Finance, Springer, volume 19, issue 4, pages 523-543, December, DOI: 10.1007/s10436-023-00433-2.
• Giuseppe Luca & Jan R. Magnus & Franco Peracchi, 2023, "Weighted-Average Least Squares (WALS): Confidence and Prediction Intervals," Computational Economics, Springer;Society for Computational Economics, volume 61, issue 4, pages 1637-1664, April, DOI: 10.1007/s10614-022-10255-5.
• Jan G. De Gooijer, 2023, "Penalized Averaging of Quantile Forecasts from GARCH Models with Many Exogenous Predictors," Computational Economics, Springer;Society for Computational Economics, volume 62, issue 1, pages 407-424, June, DOI: 10.1007/s10614-022-10289-9.
• Hannes Wallimann & David Imhof & Martin Huber, 2023, "A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels," Computational Economics, Springer;Society for Computational Economics, volume 62, issue 4, pages 1669-1720, December, DOI: 10.1007/s10614-022-10315-w.
• Dmitry Bazhutov & André Betzer & Richard Stehle, 2023, "Beta estimation in the European network regulation context: what matters, what doesn’t, and what is indispensable," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 37, issue 3, pages 239-275, September, DOI: 10.1007/s11408-023-00428-z.
• Michel Ferreira Cardia Haddad & Szabolcs Blazsek & Philip Arestis & Franz Fuerst & Hsia Hua Sheng, 2023, "The two-component Beta-t-QVAR-M-lev: a new forecasting model," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 37, issue 4, pages 379-401, December, DOI: 10.1007/s11408-023-00431-4.
• Kathryn E. Easterday & Pradyot K. Sen, 2023, "Another look at the dividend-price relationship in the accounting valuation framework," Review of Quantitative Finance and Accounting, Springer, volume 61, issue 3, pages 879-925, October, DOI: 10.1007/s11156-023-01167-y.
• Csató, László & Bodnár, Gergely, 2023, "Mérhetnénk jobban a csapatok erejét a Bajnokok Ligájában? Fontos megjegyzés az Európai Labdarúgó-szövetség számára
  [How to better measure team strength in the Champions League. An important message to the European Football Confederation]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), volume 0, issue 7, pages 813-827, DOI: 10.18414/KSZ.2023.7-8.813.
• Anna Matuszyk, 2023, "Comparison of different approaches using Random Forest for imbalanced credit data," Bank i Kredyt, Narodowy Bank Polski, volume 54, issue 4, pages 419-436.
• Lin William Cong & Nathan Darden George & Guojun Wang, 2023, "RIM-Based Value Premium and Factor Pricing Using Value-Price Divergence," NBER Working Papers, National Bureau of Economic Research, Inc, number 30967, Feb.
• Rodrigo Adão & Arnaud Costinot & Dave Donaldson, 2023, "Putting Quantitative Models to the Test: An Application to Trump’s Trade War," NBER Working Papers, National Bureau of Economic Research, Inc, number 31321, Jun.
• Jinyong Hahn & John D. Singleton & Neşe Yildiz, 2023, "Identification of Non-Additive Fixed Effects Models: Is the Return to Teacher Quality Homogeneous?," NBER Working Papers, National Bureau of Economic Research, Inc, number 31384, Jun.
• Aaron L. Bodoh-Creed & Brent R. Hickman & John A. List & Ian Muir & Gregory K. Sun, 2023, "Stress Testing Structural Models of Unobserved Heterogeneity: Robust Inference on Optimal Nonlinear Pricing," NBER Working Papers, National Bureau of Economic Research, Inc, number 31647, Aug.
• Vasil Bozev, 2023, "A Study of Convergence in the Poverty of the Working Poor among European Union Countries," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 117-129, June.
• Sina Smid, 2023, "Understanding cultural differences and extreme attitudes in the 2021 OECD Trust Survey: Text analysis of open-ended responses," OECD Working Papers on Public Governance, OECD Publishing, number 57, Mar, DOI: 10.1787/ef25d883-en.
• Laura Garcia-Jorcano & Lidia Sanchis-Marco, 2023, "Measuring Systemic Risk Using Multivariate Quantile-Located ES Models," Journal of Financial Econometrics, Oxford University Press, volume 21, issue 1, pages 1-72.
• Seok Young Hong & Ingmar Nolte & Stephen J Taylor & Xiaolu Zhao, 2023, "Volatility Estimation and Forecasts Based on Price Durations," Journal of Financial Econometrics, Oxford University Press, volume 21, issue 1, pages 106-144.
• Timo Dimitriadis & iaochun Liu & Julie Schnaitmann, 2023, "Encompassing Tests for Value at Risk and Expected Shortfall Multistep Forecasts Based on Inference on the Boundary," Journal of Financial Econometrics, Oxford University Press, volume 21, issue 2, pages 412-444.
• Alessio Sancetta, 2023, "Intraday Trades Profile Estimation: An Intensity Approach," Journal of Financial Econometrics, Oxford University Press, volume 21, issue 3, pages 651-677.
• Shenyi Pan & Harry Joe & Guofu Li, 2023, "Conditional Inferences Based on Vine Copulas with Applications to Credit Spread Data of Corporate Bonds," Journal of Financial Econometrics, Oxford University Press, volume 21, issue 3, pages 714-741.
• A E Clements & A S Hurn & K A Lindsay & V Volkov, 2023, "Estimating a Non-parametric Memory Kernel for Mutually Exciting Point Processes," Journal of Financial Econometrics, Oxford University Press, volume 21, issue 5, pages 1759-1790.
• Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023, "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, volume 138, issue 1, pages 1-35.
• Thuy Duong Dang & Fabian Hollstein & Marcel Prokopczuk & Zhiguo He, 2023, "Which Factors for Corporate Bond Returns?," The Review of Asset Pricing Studies, Society for Financial Studies, volume 13, issue 4, pages 615-652.
• Simon Jäger & Benjamin Schoefer & Josef Zweimüller, 2023, "Marginal Jobs and Job Surplus: A Test of the Efficiency of Separations," The Review of Economic Studies, Review of Economic Studies Ltd, volume 90, issue 3, pages 1265-1303.
• Leland Bybee & Bryan Kelly & Yinan Su & Tarun Ramadorai, 2023, "Narrative Asset Pricing: Interpretable Systematic Risk Factors from News Text," The Review of Financial Studies, Society for Financial Studies, volume 36, issue 12, pages 4759-4787.
• Henry Penikas, 2023, "Unaccounted model risk for Basel IRB models deemed acceptable by conventional validation criteria," Risk Management, Palgrave Macmillan, volume 25, issue 4, pages 1-25, December, DOI: 10.1057/s41283-023-00129-x.
• Alexander Meléndez Holguín & Gabriel Rodríguez, 2023, "Evolution over time of the effects of fiscal shocks in the peruvian economy: empirical application using TVP-VAR-SV models," Documentos de Trabajo / Working Papers, Departamento de Economía - Pontificia Universidad Católica del Perú, number 2023-516, DOI: 10.18800/2079-8474.0516.
• Mohajan, Devajit & Mohajan, Haradhan, 2023, "Sensitivity Analysis for Profit Maximization with Respect to Per Unit Cost of Subsidiary Raw Materials," MPRA Paper, University Library of Munich, Germany, number 116538, Jan, revised 10 Jan 2023.
• Mohajan, Devajit & Mohajan, Haradhan, 2023, "Sensitivity Analysis between Lagrange Multipliers and Consumer Budget: Utility Maximization Case," MPRA Paper, University Library of Munich, Germany, number 116907, Feb, revised 19 Feb 2023.
• Mohajan, Devajit & Mohajan, Haradhan, 2023, "A Study on Nonlinear Budget Constraint of a Local Industrial Firm of Bangladesh: A Profit Maximization Investigation," MPRA Paper, University Library of Munich, Germany, number 117324, Mar, revised 27 Mar 2023.
• Mohajan, Devajit & Mohajan, Haradhan, 2023, "Economic Investigation of Lagrange Multiplier if Cost of Inputs and Budget Size of a Firm Increase: A Profit Maximization Endeavor," MPRA Paper, University Library of Munich, Germany, number 117993, May, revised 07 May 2023.
• Mohajan, Devajit & Mohajan, Haradhan, 2023, "An Economical Study When Cost of Irregular Raw Materials of an Industry Increases for Nonlinear Budget Constraint," MPRA Paper, University Library of Munich, Germany, number 118176, May, revised 05 May 2023.
• Mohajan, Devajit, 2023, "Ponderal Index: An Important Anthropometric Indicator for Physical Growth," MPRA Paper, University Library of Munich, Germany, number 118334, Feb, revised 13 Feb 2023.
• Ardia, David & Dufays, Arnaud & Ordás Criado, Carlos, 2023, "Linking Frequentist and Bayesian Change-Point Methods," MPRA Paper, University Library of Munich, Germany, number 119486, Dec.
• Ryan Shackleton & Sonali Das & Rangan Gupta, 2023, "Comparing Risk Profiles of International Stock Markets as Functional Data: COVID-19 versus the Global Financial Crisis," Working Papers, University of Pretoria, Department of Economics, number 202328, Sep.
• Caio Almeida & Gustavo Freire, 2023, "Which (Nonlinear) Factor Models?," Working Papers, Princeton University. Economics Department., number 2023-07, Apr.
• Stepan Gogolev & Evgeniy Ozhegov, 2023, "Asymmetric loss function in product-level sales forecasting: An empirical comparison," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 70, pages 109-121.
• Jamilu Said Babangida, 2023, "Nonlinearity in emerging market indices: A comprehensive study of stock exchange market dynamics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 72, pages 23-37.
• Samir Saissi Hassani & Georges Dionne, 2023, "Using skewed exponential power mixture for VaR and CVaR forecasts to comply with market risk regulation," Working Papers, HEC Montreal, Canada Research Chair in Risk Management, number 23-2, Mar.
• Bianca PĂUNA & Corina SÂMAN, 2023, "Inequality and the Environment: The Synergy or the Trade-off Effect," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 4, pages 159-175, December.
• Shilov, Kirill (Шилов, Кирилл) & Zubarev, Andrey (Зубарев, Андрей), 2023, "Return factors of Ether cryptocurrency: on chain metrics and DeFi," Working Papers, Russian Presidential Academy of National Economy and Public Administration, number w20220221, Apr.
• Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2023, "Labor Market Institutions, Productivity, and the Business Cycle: An Application to Italy," Cahiers de recherche / Working Papers, Chaire de recherche sur les enjeux économiques intergénérationnels / Research Chair in Intergenerational Economics, number 2302.
• Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023, "Band-Pass Filtering with High-Dimensional Time Series," CEIS Research Paper, Tor Vergata University, CEIS, number 559, Jun, revised 15 Jun 2023.
• Samir Kumer Das & Amit K. Biswas, 2023, "Trade Data Falsification and Informal Capita Movement: A Study of Bangladesh with Major Asian Trade Partners," Foreign Trade Review, , volume 58, issue 4, pages 467-483, November, DOI: 10.1177/00157325221120720.
• Fayaz Ahmad Lone & M. Imran Ganaie & Showkat A. Ganaie & M. Shafi Bhat & Javeed Ahmad Rather, 2023, "Evaluation Criteria for the Suitability of Apple Cultivation in Kashmir Valley, India," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), volume 20, issue 1, pages 71-85, June.
• Laura Felber & Simon Beyeler, 2023, "Nowcasting economic activity using transaction payments data," Working Papers, Swiss National Bank, number 2023-01.
• Joao Felix & Michel Alexandre & Gilberto Tadeu Lima, 2023, "Applying Machine Learning Algorithms to Predict the Size of the Informal Economy," Working Papers, Department of Economics, University of São Paulo (FEA-USP), number 2023_10, Aug, revised 11 Sep 2023.
• Erdinc Akyildirim & Alper A. Hekimoglu & Ahmet Sensoy & Frank J. Fabozzi, 2023, "Extending the Merton model with applications to credit value adjustment," Annals of Operations Research, Springer, volume 326, issue 1, pages 27-65, July, DOI: 10.1007/s10479-023-05289-3.
• Éva Gyurkovics & Tibor Takács, 2023, "Estimation of the potential GDP by a new robust filter method," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, volume 31, issue 4, pages 1183-1207, December, DOI: 10.1007/s10100-023-00851-7.
• Laura Spierdijk, 2023, "Assessing the consistency of the fixed-effects estimator: a regression-based Wald test," Empirical Economics, Springer, volume 64, issue 4, pages 1599-1630, April, DOI: 10.1007/s00181-022-02298-2.
• Tamás Kiss & Hoang Nguyen & Pär Österholm, 2023, "Modelling Okun’s law: Does non-Gaussianity matter?," Empirical Economics, Springer, volume 64, issue 5, pages 2183-2213, May, DOI: 10.1007/s00181-022-02309-2.
• Byron Botha & Rulof Burger & Kevin Kotzé & Neil Rankin & Daan Steenkamp, 2023, "Big data forecasting of South African inflation," Empirical Economics, Springer, volume 65, issue 1, pages 149-188, July, DOI: 10.1007/s00181-022-02329-y.
• Rodrigo Mulero & Alfredo Garcia-Hiernaux, 2023, "Forecasting unemployment with Google Trends: age, gender and digital divide," Empirical Economics, Springer, volume 65, issue 2, pages 587-605, August, DOI: 10.1007/s00181-022-02347-w.
• David Neto, 2023, "Penalized leads-and-lags cointegrating regression: a simulation study and two empirical applications," Empirical Economics, Springer, volume 65, issue 2, pages 949-971, August, DOI: 10.1007/s00181-023-02362-5.
• Sarra Ghaddab & Manel Kacem & Christian Peretti & Lotfi Belkacem, 2023, "Extreme severity modeling using a GLM-GPD combination: application to an excess of loss reinsurance treaty," Empirical Economics, Springer, volume 65, issue 3, pages 1105-1127, September, DOI: 10.1007/s00181-023-02371-4.
• Weijia Peng & Chun Yao, 2023, "Sector-level equity returns predictability with machine learning and market contagion measure," Empirical Economics, Springer, volume 65, issue 4, pages 1761-1798, October, DOI: 10.1007/s00181-023-02404-y.
• Florian Eckert & Nina Mühlebach, 2023, "Global and local components of output gaps," Empirical Economics, Springer, volume 65, issue 5, pages 2301-2331, November, DOI: 10.1007/s00181-023-02419-5.
• Galina Williams & Irina Kinchin, 2023, "The application of discrete choice experiments eliciting young peoples’ preferences for healthcare: a systematic literature review," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), volume 24, issue 6, pages 987-998, August, DOI: 10.1007/s10198-022-01528-9.
• India Flint & Jasmina Medjedovic & Ewa Drogon O’Flaherty & Elena Alvarez-Baron & Karthinathan Thangavelu & Natasa Savic & Aurelie Meunier & Louise Longworth, 2023, "Mapping analysis to predict SF-6D utilities from health outcomes in people with focal epilepsy," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), volume 24, issue 7, pages 1061-1072, September, DOI: 10.1007/s10198-022-01519-w.
• Jiri Kukacka & Ladislav Kristoufek, 2023, "Fundamental and speculative components of the cryptocurrency pricing dynamics," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 9, issue 1, pages 1-23, December, DOI: 10.1186/s40854-023-00465-7.
• James Yae & Yang Luo, 2023, "Robust monitoring machine: a machine learning solution for out-of-sample R $$^2$$ 2 -hacking in return predictability monitoring," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 9, issue 1, pages 1-28, December, DOI: 10.1186/s40854-023-00497-z.
• Saulius Jokubaitis & Dmitrij Celov, 2023, "Business Cycle Synchronization in the EU: A Regional-Sectoral Look through Soft-Clustering and Wavelet Decomposition," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 19, issue 3, pages 311-371, November, DOI: 10.1007/s41549-023-00090-4.
• Mustafa Yurtsever, 2023, "Unemployment rate forecasting: LSTM-GRU hybrid approach," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), volume 57, issue 1, pages 1-9, December, DOI: 10.1186/s12651-023-00345-8.
• Henk-Wim Boer & Egbert L. W. Jongen, 2023, "Analysing tax-benefit reforms in the Netherlands using structural models and natural experiments," Journal of Population Economics, Springer;European Society for Population Economics, volume 36, issue 1, pages 179-209, January, DOI: 10.1007/s00148-021-00852-3.
• Christos Agiakloglou & Apostolos Tsimpanos, 2023, "Evaluating the performance of AIC and BIC for selecting spatial econometric models," Journal of Spatial Econometrics, Springer, volume 4, issue 1, pages 1-35, December, DOI: 10.1007/s43071-022-00030-x.
• Rudrani Bhattacharya & Bornali Bhandari & Sudipto Mundle, 2023, "Nowcasting India’s Quarterly GDP Growth: A Factor-Augmented Time-Varying Coefficient Regression Model (FA-TVCRM)," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), volume 21, issue 1, pages 213-234, March, DOI: 10.1007/s40953-022-00335-6.
• Shikha Gupta & Nand Kumar, 2023, "Time varying dynamics of globalization effect in India," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, volume 22, issue 1, pages 81-97, January, DOI: 10.1007/s10258-020-00190-4.
• Joern Block & Reza Fathollahi, 2023, "Foundation ownership and firm growth," Review of Managerial Science, Springer, volume 17, issue 8, pages 2633-2654, November, DOI: 10.1007/s11846-022-00595-9.
• Antonio Marsi, 2023, "Predicting European stock returns using machine learning," SN Business & Economics, Springer, volume 3, issue 7, pages 1-25, July, DOI: 10.1007/s43546-023-00487-4.
• Paulo Chávez & Gabriel Rodríguez, 2023, "Time changing effects of external shocks on macroeconomic fluctuations in Peru: empirical application using regime-switching VAR models with stochastic volatility," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), volume 159, issue 2, pages 505-544, May, DOI: 10.1007/s10290-022-00474-1.
• Saeed Shaker-Akhtekhane & Solmaz Poorabbas, 2023, "Value-at-Risk Estimation Using an Interpolated Distribution of Financial Returns Series," Journal of Applied Finance & Banking, SCIENPRESS Ltd, volume 13, issue 1, pages 1-6.

2022

• Francisco Corona & Pedro Orraca & Jesús López-Pérez, 2022, "Evaluación de diferentes métodos para la estimación del PIB potencial: el caso de México/Evaluating different methods of potential GDP estimates: The case of Mexico," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, volume 37, issue 2, pages 285-313.
• Piotr Gutowski & Joanna Markiewicz & Piotr Niedzielski & Monika Klein, 2022, "Blockchain in Education: The Best Teaching Models," European Research Studies Journal, European Research Studies Journal, volume 0, issue 4, pages 253-266.
• Olatunji A. Shobande & Simplice A. Asongu, 2022, "The Critical Role of Education and ICT in Promoting Environmental Sustainability in Eastern and Southern Africa: A Panel VAR Approach," Working Papers, European Xtramile Centre of African Studies (EXCAS), number 22/006, Jan.
• Isaac K. Ofori & Camara K. Obeng & Simplice A. Asongu, 2022, "What Really Drives Economic Growth in Sub-Saharan Africa? Evidence from The Lasso Regularization and Inferential Techniques," Working Papers, European Xtramile Centre of African Studies (EXCAS), number 22/061, Jan.
• Olatunji A. Shobande & Simplice A. Asongu, 2022, "Searching for Sustainable Footprints: Does ICT increase CO2 emissions?," Working Papers, European Xtramile Centre of African Studies (EXCAS), number 22/062, Jan.
• Olatunji A. Shobande & Lawrence Ogbeifun & Simplice A. Asongu, 2022, "Globalisation, technology and global health," Working Papers, European Xtramile Centre of African Studies (EXCAS), number 22/070, Jan.
• Simplice A. Asongu & Barbara D. Mensah & Judith C. M. Ngoungou, 2022, "Thresholds of external flows in financial development for environmental sustainability in sub-Saharan Africa," Working Papers, European Xtramile Centre of African Studies (EXCAS), number 22/082, Nov.
• Lukas Janasek, 2022, "Acquisition of Costly Information in Data-Driven Decision Making," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2022/10, May, revised May 2022.
• Diana Kmetkova & Milas Scasny, 2022, "Income Elasticity for Animal-Based Protein and Food Supply," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2022/23, Sep, revised Sep 2022.
• Claudia Foroni & Paolo Gelain & Massimiliano Marcellino, 2022, "The financial accelerator mechanism: does frequency matter?," Working Papers, Federal Reserve Bank of Cleveland, number 22-29, Nov, DOI: 10.26509/frbc-wp-202229.
• Takushi Kurozumi & Ryohei Oishi & Willem Van Zandweghe, 2022, "Sticky Information Versus Sticky Prices Revisited: A Bayesian VAR-GMM Approach," Working Papers, Federal Reserve Bank of Cleveland, number 22-34, Nov, DOI: 10.26509/frbc-wp-202234.
• William Barcelona & Danilo Cascaldi-Garcia & Jasper Hoek & Eva Van Leemput, 2022, "What Happens in China Does Not Stay in China," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1360, Nov, DOI: 10.17016/IFDP.2022.1360.
• Aaron Amburgey & Michael W. McCracken, 2022, "On the Real-Time Predictive Content of Financial Conditions Indices for Growth," Working Papers, Federal Reserve Bank of St. Louis, number 2022-003, Jan, revised 03 Jun 2022, DOI: 10.20955/wp.2022.003.
• Emil Heesche & Mette Asmild, 2022, "Implications of Aggregation Uncertainty in DEA," IFRO Working Paper, University of Copenhagen, Department of Food and Resource Economics, number 2022/02, Mar.
• Jian Kang & Johan Stax Jakobsen & Annastiina Silvennoinen & Timo Teräsvirta & Glen Wade, 2022, "A Parsimonious Test of Constancy of a Positive Definite Correlation Matrix in a Multivariate Time-Varying GARCH Model," Econometrics, MDPI, volume 10, issue 3, pages 1-41, August.
• Antonio Musa, 2022, "Nowcasting Bosnia and Herzegovina GDP in Real Time," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 08-2022, Apr.
• Ilkin Huseynov & Nazrin Ramazanova & Hikmat Valirzayev, 2022, "Using National Payment System Data to Nowcast Economic Activity in Azerbaijan," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 23-2022, Oct.
• Nicolas Legrand & Christophe Gouel, 2022, "The Role of Storage in Commodity Markets: Indirect Inference Based on Grains Data," Working Papers, HAL, number hal-03809825, Oct.
• Sullivan Hué & Christophe Hurlin & Christophe Pérignon & Sébastien Saurin, 2022, "Explainable Performance," Working Papers, HAL, number hal-03897380, Dec, DOI: 10.2139/ssrn.4280563.
• Borowczyk-Martins, Daniel & Pacini, David, 2022, "Measuring Labor Market Transitions in Europe: Identification and Validation Analysis," Working Papers, Copenhagen Business School, Department of Economics, number 3-2022, Jan.
• Song, Zisheng & Wilhelmsson, Mats & Zalejska-Jonsson, Agnieszka, 2022, "The relationship between owner-occupied housing prices and rental housing rents: evidence from Beijing, China," Working Paper Series, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance, number 22/3, May.
• Hermansson, Cecilia & Lundgren, Berndt, 2022, "What factors matter in rent negotiations? Differences in views between landlords and retail trade tenants," Working Paper Series, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance, number 22/9, Aug.
• Kiss, Tamas & Nguyen, Hoang & Österholm, Pär, 2022, "Modelling Okun’s Law – Does non-Gaussianity Matter?," Working Papers, Örebro University, School of Business, number 2022:1, Jan.
• Österholm, Pär & Poon, Aubrey, 2022, "Trend Inflation in Sweden," Working Papers, Örebro University, School of Business, number 2022:2, Jan.
• Nguyen, Hoang & Virbickaite, Audrone, 2022, "Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models," Working Papers, Örebro University, School of Business, number 2022:5, May.
• Aas, Eline & Gomez, Monica & Tariq, Fawaz, 2022, "Health Technology Assessment (HTA) of GLP-1 receptor agonists and SGLT-2 inhibitors in combination with metformin as first-line treatment in patient with type 2 diabetes mellitus (T2DM) and established cardiovascular or chronic kidney disease," HERO Online Working Paper Series, University of Oslo, Health Economics Research Programme, number 2022:3, Oct, DOI: https://www.med.uio.no/helsam/forsk.
• Schling, Maja & Guerrero Compeán, Roberto & Pazos, Nicolás & Bailey, Allison & Arkema, Katie & Ruckelshaus, Mary, 2022, "The Economic Impact of Sargassum: Evidence from the Mexican Coast," IDB Publications (Working Papers), Inter-American Development Bank, number 12460, Sep, DOI: http://dx.doi.org/10.18235/0004470.
• Qazi Haque, 2022, "Monetary Policy, Inflation Target, and the Great Moderation: An Empirical Investigation," International Journal of Central Banking, International Journal of Central Banking, volume 18, issue 4, pages 1-52, October.
• Anders Klevmarken, 2022, "Statistical Inference in Micro-simulation Models: Incorporating External Information," International Journal of Microsimulation, International Microsimulation Association, volume 15, issue 1, pages 111-120, DOI: 10.34196/ijm.00255.
• Diego Emilio Linthon-Delgado & Lizethe Berenice Méndez-Heras, 2022, "Descomposición de la brecha salarial de género en el Ecuador," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 17, issue 1, pages 1-25, Enero - M.
• Ashima Goyal & Sritama Ray, 2022, "Exploring correlations between aggregate demand and supply shocks in India," Indira Gandhi Institute of Development Research, Mumbai Working Papers, Indira Gandhi Institute of Development Research, Mumbai, India, number 2022-004, Mar.
• Steven F. Lehrer & Tian Xie, 2022, "The Bigger Picture: Combining Econometrics with Analytics Improves Forecasts of Movie Success," Management Science, INFORMS, volume 68, issue 1, pages 189-210, January, DOI: 10.1287/mnsc.2020.3911.
• Picchio, Matteo & Ubaldi, Michele, 2022, "Unemployment and Health: A Meta-Analysis," IZA Discussion Papers, IZA Network @ LISER, number 15433, Jul.
• Cochrane, William & Poot, Jacques & Roskruge, Matthew, 2022, "Urban Resilience and Social Security Uptake: New Zealand Evidence from the Global Financial Crisis and the COVID-19 Pandemic," IZA Discussion Papers, IZA Network @ LISER, number 15510, Aug.
• William A. Barnett & Unal Eryilmaz, 2022, "Monetary Policy and Determinacy: An Inquiry in Open Economy New Keynesian Framework," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202203, Jan.
• Zongwu Cai & Ying Fang & Ming Lin & Mingfeng Zhan, 2022, "Estimating Quantile Treatment Effects for Panel Data," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202205, Feb, revised Feb 2022.
• Donovan Platt, 2022, "Bayesian Estimation of Economic Simulation Models Using Neural Networks," Computational Economics, Springer;Society for Computational Economics, volume 59, issue 2, pages 599-650, February, DOI: 10.1007/s10614-021-10095-9.
• John N. Ng’ombe & B. Wade Brorsen, 2022, "The Effect of Including Irrelevant Alternatives in Discrete Choice Models of Recreation Demand," Computational Economics, Springer;Society for Computational Economics, volume 60, issue 1, pages 71-97, June, DOI: 10.1007/s10614-021-10138-1.
• Simos G. Meintanis & Christos K. Papadimitriou, 2022, "Goodness--of--fit tests for stochastic frontier models based on the characteristic function," Journal of Productivity Analysis, Springer, volume 57, issue 3, pages 285-296, June, DOI: 10.1007/s11123-022-00632-5.
• Kamil Makieła & Błażej Mazur, 2022, "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, volume 58, issue 1, pages 35-54, August, DOI: 10.1007/s11123-022-00639-y.
• Schlicht, Ekkehart, 2022, "VCwrapper," Discussion Papers in Economics, University of Munich, Department of Economics, number 84584.
• Schlicht, Ekkehart, 2022, "VC - A Program for Estimating Time-Varying Coefficients," Software in Economics, University of Munich, Department of Economics, number 92509, revised .
• Feriansyah & Hari Nugroho & Aura Asyda Larre & Qori’atul Septiavin & Cintya Khairun Nisa, 2022, "Economic Growth and CO2 Emission in ASEAN: Panel-ARDL Approach," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, volume 68, pages 102-113, Desember.
• Theologos Dergiades & Panos K. Pouliasis, 2021, "Should Stock Returns Predictability be hooked on Long Horizon Regressions?," Discussion Paper Series, Department of Economics, University of Macedonia, number 2021_03, Feb, revised Feb 2021.
• Don Bredin & Stilianos Fountas, 2022, "Inflation, inflation uncertainty, and Markov regime switching heteroskedasticity: Evidence from European countries," Discussion Paper Series, Department of Economics, University of Macedonia, number 2022_03, Mar, revised Mar 2022.
• Zsuzsanna Hosszu & Gergely Lakos, 2022, "Early Warning Performance of Univariate Credit-to-GDP Gaps," MNB Occasional Papers, Magyar Nemzeti Bank (Central Bank of Hungary), number 2022/142.
• Dan A. Black & Joonhwi Joo & Robert LaLonde & Jeffrey A. Smith & Evan J. Taylor, 2022, "Simple Tests for Selection: Learning More from Instrumental Variables," NBER Working Papers, National Bureau of Economic Research, Inc, number 30291, Jul.
• Sylvain Catherine & Mehran Ebrahimian & Mohammad Fereydounian & David Sraer & David Thesmar, 2022, "Robustness Checks in Structural Analysis," NBER Working Papers, National Bureau of Economic Research, Inc, number 30443, Sep.
• Cristina Amado, 2022, "Outlier robust specification of multiplicative time-varying volatility models," NIPE Working Papers, NIPE - Universidade do Minho, number 11/2022.
• Dimitris Korobilis & Kenichi Shimizu, 2022, "Bayesian Approaches to Shrinkage and Sparse Estimation," Foundations and Trends(R) in Econometrics, now publishers, volume 11, issue 4, pages 230-354, June, DOI: 10.1561/0800000041.
• Musdalifah Azis & Rusdiah Iskandar & Lusiana Desy Ariswati & I Made Surya Negara Sudirman & Dio Caisar Darma, 2022, "The Treynor-Mazuy Conditional Model: Overview of Market Timing and Stock Selection on Equity Mutual Funds Performance," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 252-263, June.
• Stoyan Stoyanov & Nikolay Oresharov & Oleg Dimov & Nikolina Nikolova & Kalina Kavaldzhieva, 2022, "Evaluation and Effectiveness of the Adaptation of Evaluation Standards to the Training, Business Environment and Practices in the Republic of Bulgaria," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 69-79, March.
• Fang Duan & Hans Manner & Dominik Wied, 2022, "Model and Moment Selection in Factor Copula Models
  [Extensions to the Gaussian Copula: Random Recovery and Random Factor Loadings]," Journal of Financial Econometrics, Oxford University Press, volume 20, issue 1, pages 45-75.
• Genaro Sucarrat & Steffen Grønneberg, 2022, "Risk Estimation with a Time-Varying Probability of Zero Returns
  [On the Coherence of Expected Shortfall]," Journal of Financial Econometrics, Oxford University Press, volume 20, issue 2, pages 278-309.
• Sebastian Bayer & Timo Dimitriadis, 2022, "Regression-Based Expected Shortfall Backtesting
  [Backtesting Expected Shortfall]," Journal of Financial Econometrics, Oxford University Press, volume 20, issue 3, pages 437-471.
• Arnaud Dufays & Elysee Aristide Houndetoungan & Alain Coën, 2022, "Selective Linear Segmentation for Detecting Relevant Parameter Changes
  [Risks and Portfolio Decisions Involving Hedge Funds]," Journal of Financial Econometrics, Oxford University Press, volume 20, issue 4, pages 762-805.
• Christophe Chorro & Rahantamialisoa H Fanirisoa, 2022, "Discriminating Between GARCH Models for Option Pricing by Their Ability to Compute Accurate VIX Measures
  [Option Valuation with Volatility Components, Fat Tails, and Non-Monotonic Pricing Kernels]," Journal of Financial Econometrics, Oxford University Press, volume 20, issue 5, pages 902-941.
• Todd Mitton, 2022, "Methodological Variation in Empirical Corporate Finance," The Review of Financial Studies, Society for Financial Studies, volume 35, issue 2, pages 527-575.
• Andrei-Dragos Popescu & Cristi-Marcel Spulbar, 2022, "The Impact of Returns and Influence of Crypto Assets on Different Asset Classes," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, volume 0, issue 1, pages 969-980, September.
• Guellil, Mohammed Seghir & Sari-Hassoun, Salah Eddine & Chica-Olmo, Jorge & Saraç, Mehmet, 2022, "What are the main factors driving behind the MENA countries current account deficit? A panel logit approach analysis
  [¿Cuáles son los principales factores que impulsan el déficit de cuenta corriente de los países MENA? Un análisis de enfoque de pa," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, volume 33, issue 1, pages 134-153, June, DOI: https://doi.org/10.46661/revmetodos.
• León Mendoza, Juan Celestino & Valcárcel Pineda, Paolo, 2022, "Influencia de las características sociodemográficas personales en el éxito empresarial en Perú
  [Influence of personal sociodemographic characteristics on business success in Peru]," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, volume 33, issue 1, pages 326-352, June, DOI: https://doi.org/10.46661/revmetodos.
• Mariano González-Sánchez & Eva M. Ibáñez Jiménez & Ana I. Segovia San Juan, 2022, "Market and model risks: a feasible joint estimate methodology," Risk Management, Palgrave Macmillan, volume 24, issue 3, pages 187-213, September, DOI: 10.1057/s41283-022-00090-1.
• Pablo Pincheira Brown, 2022, "A Power Booster Factor for Out-of-Sample Tests of Predictability," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, volume 45, issue 89, pages 150-183.
• Gabriel Rodríguez & Paulo Chávez, 2022, "Time Changing Effects of External Shocks on Macroeconomic Fluctuations in Peru: Empirical Application Using Regime-Switching VAR Models with Stochastic Volatility," Documentos de Trabajo / Working Papers, Departamento de Economía - Pontificia Universidad Católica del Perú, number 2022-509, DOI: 10.18800/2079-8474.0509.
• Francis X. Diebold & Maximilian Gobel, 2022, "A Benchmark Model for Fixed-Target Arctic Sea Ice Forecasting," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 22-002, Jan.
• Francis X. Diebold & Glenn D. Rudebusch & Maximilian Gobel & Philippe Goulet Coulombe & Boyuan Zhang, 2022, "When Will Arctic Sea Ice Disappear? Projections of Area, Extent, Thickness, and Volume," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 22-011, Mar.
• Francis X. Diebold & Maximilian Gobel & Philippe Goulet Coulombe, 2022, "Assessing and Comparing Fixed-Target Forecasts of Arctic Sea Ice:Glide Charts for Feature-Engineered Linear Regression and Machine Learning Models," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 22-028, Jun.
• Maria Kovacova & Lenka Hrosova & Pavol Durana & Jakub Horak, 2022, "Earnings management model for Visegrad Group as an immanent part of creative accounting," Oeconomia Copernicana, Institute of Economic Research, volume 13, issue 4, pages 1143-1176, December, DOI: 10.24136/oc.2022.033.
• Barnett, William A. & Eryilmaz, Unal, 2022, "Monetary Policy and Determinacy: An Inquiry in Open Economy New Keynesian Framework," MPRA Paper, University Library of Munich, Germany, number 111567, Jan.
• Pincheira, Pablo & Hardy, Nicolas, 2022, "Correlation Based Tests of Predictability," MPRA Paper, University Library of Munich, Germany, number 112014, Feb.
• Pedini, Luca & Severini, Sabrina, 2022, "Exploring the hedge, diversifier and safe haven properties of ESG investments: A cross-quantilogram analysis," MPRA Paper, University Library of Munich, Germany, number 112339.
• Ben Salem, Ameni & Safer, Imene & Khefacha, Islem, 2022, "Value-at-Risk (VAR) Estimation Methods: Empirical Analysis based on BRICS Markets," MPRA Paper, University Library of Munich, Germany, number 113350, Feb, revised May 2022.
• Lee, David, 2022, "Pricing Cancellation Product," MPRA Paper, University Library of Munich, Germany, number 114147, Aug.
• Boskabadi, Elahe, 2022, "Economic policy uncertainty and forecast bias in the survey of professional forecasters," MPRA Paper, University Library of Munich, Germany, number 115081, Oct.
• Hoffmaister, Alexander W., 2022, "Two's not company: mis-aggregation and "supply-induced" unemployment increases," MPRA Paper, University Library of Munich, Germany, number 115513, Nov.
• Mohajan, Devajit & Mohajan, Haradhan, 2022, "Utility Maximization Analysis of an Organization: A Mathematical Economic Procedure," MPRA Paper, University Library of Munich, Germany, number 115791, Oct, revised 15 Oct 2022.
• M N, Nikhil & Chakraborty, Suman & B M, Lithin & Ledwani, Sanket, 2022, "Modeling Indian Bank Nifty volatility using univariate GARCH models," MPRA Paper, University Library of Munich, Germany, number 116824, Oct, revised 06 Feb 2023.
• B M, Lithin & chakraborty, Suman & iyer, Vishwanathan & M N, Nikhil & ledwani, Sanket, 2022, "Modeling asymmetric sovereign bond yield volatility with univariate GARCH models: Evidence from India," MPRA Paper, University Library of Munich, Germany, number 117067, Aug, revised 05 Jan 2023.
• Fantazzini, Dean & Kurbatskii, Alexey & Mironenkov, Alexey & Lycheva, Maria, 2022, "Forecasting oil prices with penalized regressions, variance risk premia and Google data," MPRA Paper, University Library of Munich, Germany, number 118239.
• Shobande, Olatunji & Asongu, Simplice A, 2022, "The Critical Role of Education and ICT in Promoting Environmental Sustainability in Eastern and Southern Africa: A Panel VAR Approach," MPRA Paper, University Library of Munich, Germany, number 119054, Jan.
• Mawuli Segnon & Rangan Gupta & Bernd Wilfling, 2022, "Forecasting Stock Market Volatility with Regime-Switching GARCH-MIDAS: The Role of Geopolitical Risks," Working Papers, University of Pretoria, Department of Economics, number 202203, Jan.
• Juncal Cunado & David Gabauer & Rangan Gupta & Chien-Chiang Lee, 2022, "On the Propagation Mechanism of International Real Interest Rate Spillovers: Evidence from More than 200 Years of Data," Working Papers, University of Pretoria, Department of Economics, number 202212, Feb.
• Rangan Gupta & Xiaojin Sun, 2022, "Time-Varying Parameter Four-Equation DSGE Model," Working Papers, University of Pretoria, Department of Economics, number 202234, Aug.
• Dušan Steinhauser & Zuzana Borovská, 2022, "The Impact of Institutional Environment on Risk Assessment," Central European Business Review, Prague University of Economics and Business, volume 2022, issue 2, pages 61-79, DOI: 10.18267/j.cebr.288.
• Chen Yang & Xu Shaorui & Ali Farhan, 2022, "Investigating Spatial-Temporal Pattern and Inducing Factors to Green Technology Innovation and High-Quality Economic Development," Prague Economic Papers, Prague University of Economics and Business, volume 2022, issue 3-4, pages 296-323, DOI: 10.18267/j.pep.807.
• Helena Mitwallyová & Lucie Kureková & Daniel Zikmund, 2022, "Možnosti zlepšování životního prostředí územní samosprávou na příkladu snížení koncentrace prachových částic PM10 v ovzduší
  [Environmental Improvement Possibilities for Local Governments: Example of Reducing PM10 Concentration in Air]," Politická ekonomie, Prague University of Economics and Business, volume 2022, issue 2, pages 209-234, DOI: 10.18267/j.polek.1343.
• Chicama, Diego & Nivin, Rafael, 2022, "Evaluando el modelo Growth-at-Risk como herramienta para vigilar los riesgos macrofiancieros en la economía peruana," Working Papers, Banco Central de Reserva del Perú, number 2022-008, Oct.
• Byron Botha & Rulof Burger & Kevin Kotz & Neil Rankin & Daan Steenkamp, 2022, "Big data forecasting of South African inflation," Working Papers, South African Reserve Bank, number 11022, Feb.
• Biwei Chen, 2022, "Shape Evolution of the Interest Rate Term Structure," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, volume 13, issue 4, pages 427-457, January, DOI: https://doi.org/10.15353/rea.v13i3..
• Maria Lycheva & Alexey Mironenkov & Alexey Kurbatskii & Dean Fantazzini, 2022, "Forecasting oil prices with penalized regressions, variance risk premia and Google data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 68, pages 28-49.
• Samir Saissi Hassani, 2022, "Précisions importantes sur le backtesting comparatif de la VaR," Working Papers, HEC Montreal, Canada Research Chair in Risk Management, number 21-5, Feb.
• Samir Saissi Hassani & Georges Dionne, 2022, "Forecasting VaR and CVaR based on a skewed exponential power mixture, in compliance with the new market risk regulation," Working Papers, HEC Montreal, Canada Research Chair in Risk Management, number 22-3, Jul.
• Umair Bin YOUSAF & Khalil JEBRAN & Man WANG, 2022, "A Comparison of Static, Dynamic and Machine Learning Models in Predicting the Financial Distress of Chinese Firms," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 1, pages 122-138, April.
• Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2022, "Big data forecasting of South African inflation," ERSA Working Paper Series, Economic Research Southern Africa, volume 0, issue .
• Zouhaier Dhifaoui, 2022, "Determinism and Non-linear Behaviour of Log-return and Conditional Volatility: Empirical Analysis for 26 Stock Markets," South Asian Journal of Macroeconomics and Public Finance, , volume 11, issue 1, pages 69-94, June, DOI: 10.1177/2277978721995654.
• Dejan Živkov & Marina Gajic-Glamoclija & Jasmina Duraskovic & Mirela Momcilovic, 2022, "Assessing Permanent and Transitory Volatility Spillover Effect from Oil to Stocks in Baltic and Visegrad Countries," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, volume 70, issue 6, pages 523-542, June.
• Rogelio V. Mercado, Jr. & Victor Pontines, 2022, "Which Financial Inclusion Indicators and Dimensions Matter for Income Inequality? A Bayesian Model Averaging Approach," Working Papers, South East Asian Central Banks (SEACEN) Research and Training Centre, number wp47, Oct.
• Alexander Bobkov & Oksana Savchina, 2022, "Verification of the production structure evolution model of industrial enterprises using cluster analysis," Proceedings of Economics and Finance Conferences, International Institute of Social and Economic Sciences, number 13215738, Oct.
• Tomasz P. Kostyra, 2022, "Yield Curve Modelling with the Nelson-Siegel Method for Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 44-56.
• Qiang Ji & Dayong Zhang & Yuqian Zhao, 2022, "Intra-day co-movements of crude oil futures: China and the international benchmarks," Annals of Operations Research, Springer, volume 313, issue 1, pages 77-103, June, DOI: 10.1007/s10479-021-04097-x.
• Vo Hoang Ha & Takeshi Mizunoya & Nguyen Duc Kien & Truong Quang Dung & Le Thanh An & Nguyen Thai Phan & Nguyen Quang Tan & Pham Thi Trieu Tien & Nguyen Cong Dinh, 2022, "Post-flood recovery in the central coastal plain of Vietnam: determinants and policy implications," Asia-Pacific Journal of Regional Science, Springer, volume 6, issue 3, pages 899-929, October, DOI: 10.1007/s41685-022-00244-9.
• Charl Maree & Christian W. Omlin, 2022, "Reinforcement learning with intrinsic affinity for personalized prosperity management," Digital Finance, Springer, volume 4, issue 2, pages 241-262, September, DOI: 10.1007/s42521-022-00068-4.
• Jaeho Kim & Sora Chon, 2022, "Bayesian estimation of the long-run trend of the US economy," Empirical Economics, Springer, volume 62, issue 2, pages 461-485, February, DOI: 10.1007/s00181-021-02024-4.
• Lixiong Yang, 2022, "Threshold mixed data sampling (TMIDAS) regression models with an application to GDP forecast errors," Empirical Economics, Springer, volume 62, issue 2, pages 533-551, February, DOI: 10.1007/s00181-021-02028-0.
• Khyati Kathuria & Nand Kumar, 2022, "Are exports and imports of India’s trading partners cointegrated? Evidence from Fourier bootstrap ARDL procedure," Empirical Economics, Springer, volume 62, issue 3, pages 1177-1191, March, DOI: 10.1007/s00181-021-02061-z.
• Julia Kielmann & Hans Manner & Aleksey Min, 2022, "Stock market returns and oil price shocks: A CoVaR analysis based on dynamic vine copula models," Empirical Economics, Springer, volume 62, issue 4, pages 1543-1574, April, DOI: 10.1007/s00181-021-02073-9.
• Astrid Ayala & Szabolcs Blazsek & Adrian Licht, 2022, "Score-driven stochastic seasonality of the Russian rouble: an application case study for the period of 1999 to 2020," Empirical Economics, Springer, volume 62, issue 5, pages 2179-2203, May, DOI: 10.1007/s00181-021-02103-6.
• Pål Boug & Ådne Cappelen, 2022, "Did OPEC change its behaviour after the November 2014 meeting?," Empirical Economics, Springer, volume 62, issue 5, pages 2285-2305, May, DOI: 10.1007/s00181-021-02104-5.
• Manuel González-Astudillo & John M. Roberts, 2022, "When are trend–cycle decompositions of GDP reliable?," Empirical Economics, Springer, volume 62, issue 5, pages 2417-2460, May, DOI: 10.1007/s00181-021-02105-4.
• Dejan Živkov & Slavica Manić & Ivan Pavkov, 2022, "Nonlinear examination of the ‘Heat Wave’ and ‘Meteor Shower’ effects between spot and futures markets of the precious metals," Empirical Economics, Springer, volume 63, issue 2, pages 1109-1134, August, DOI: 10.1007/s00181-021-02148-7.
• Alessandra Garbero & Marco Letta, 2022, "Predicting household resilience with machine learning: preliminary cross-country tests," Empirical Economics, Springer, volume 63, issue 4, pages 2057-2070, October, DOI: 10.1007/s00181-022-02199-4.
• Masato Ubukata, 2022, "A time-varying jump tail risk measure using high-frequency options data," Empirical Economics, Springer, volume 63, issue 5, pages 2633-2653, November, DOI: 10.1007/s00181-022-02209-5.
• Khurram Shehzad & Umer Zaman & Mahmood Ahmad & Xiaoxing Liu, 2022, "Asymmetric impact of information and communication technologies on environmental quality: analyzing the role of financial development and energy consumption," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, volume 24, issue 2, pages 1761-1780, February, DOI: 10.1007/s10668-021-01506-w.
• Jeronymo Marcondes Pinto & Jennifer L. Castle, 2022, "Machine Learning Dynamic Switching Approach to Forecasting in the Presence of Structural Breaks," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 18, issue 2, pages 129-157, July, DOI: 10.1007/s41549-022-00066-w.
• Eva O. Arceo-Gomez & Raymundo M. Campos-Vazquez & Raquel Y. Badillo & Sergio Lopez-Araiza, 2022, "Gender stereotypes in job advertisements: What do they imply for the gender salary gap?," Journal of Labor Research, Springer, volume 43, issue 1, pages 65-102, March, DOI: 10.1007/s12122-022-09331-4.