Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting with DSGE Models
2. Forecasting

2021

• Samir Saissi Hassani & Georges Dionne, 2021, "The new international regulation of market risk: Roles of VaR and CVaR in model validation," Working Papers, HEC Montreal, Canada Research Chair in Risk Management, number 20-3, Jan.
• Samir Saissi Hassani & Georges Dionne, 2021, "The New International Regulation of Market Risk: Roles of VaR and CVaR in Model Validation," Working Papers, HEC Montreal, Canada Research Chair in Risk Management, number 21-1, Jan.
• Cleopatra Oluseye Ibukun & Tolulope Temilola Osinubi & Opeyemi Nathaniel Oladunjoye, 2021, "Growth-Led Energy Hypothesis In Nigeria: An Asymmetric Investigation," Ilorin Journal of Economic Policy, Department of Economics, University of Ilorin, volume 8, issue 1, pages 31-45.
• Emilian DOBRESCU, 2021, "Potential Output: A Market Conditionalities Interpretation," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 4, pages 5-38, December.
• Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2021, "Italian Labour Frictions and Wage Rigidities in an Estimated DSGE," Cahiers de recherche / Working Papers, Chaire de recherche sur les enjeux économiques intergénérationnels / Research Chair in Intergenerational Economics, number 2105.
• Tommaso Proietti & Diego J. Pedregal, 2021, "Seasonality in High Frequency Time Series," CEIS Research Paper, Tor Vergata University, CEIS, number 508, Mar, revised 11 Mar 2021.
• Ignace De Vos & Gerdie Everaert & Vasilis Sarafidis, 2021, "A method for evaluating the rank condition for CCE estimators," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium, Ghent University, Faculty of Economics and Business Administration, number 21/1013, Apr.
• Don Bredin & Stilianos Fountas, 2021, "Inflation, Inflation Uncertainty, and Markov Regime Switching Heteroskedasticity: Evidence from European Countries," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, volume 19, issue 2, pages 181-200.
• Campuzano, Cristian Miguel & Cabello, Alejandra, 2021, "Superficie de volatilidad de la Bolsa Mexicana de Valores: Evaluación con el Modelo de Merton / Mexico´s Stock Market volatility surface: Evaluation with Merton’s model," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, volume 11, issue 1, pages 5-31, enero-jun.
• Philipp F. M. Baumann & Enzo Rossi & Alexander Volkmann, 2021, "What drives inflation and how? Evidence from additive mixed models selected by cAIC," Working Papers, Swiss National Bank, number 2021-12.
• M. Karanasos & S. Yfanti & A. Christopoulos, 2021, "The long memory HEAVY process: modeling and forecasting financial volatility," Annals of Operations Research, Springer, volume 306, issue 1, pages 111-130, November, DOI: 10.1007/s10479-019-03493-8.
• Christos Agiakloglou & Apostolos Tsimpanos, 2021, "Evaluating information criteria for selecting spatial processes," The Annals of Regional Science, Springer;Western Regional Science Association, volume 66, issue 3, pages 677-697, June, DOI: 10.1007/s00168-020-01033-y.
• Hoang Ha Vo & Takeshi Mizunoya & Cong Dinh Nguyen, 2021, "Determinants of farmers’ adaptation decisions to climate change in the central coastal region of Vietnam," Asia-Pacific Journal of Regional Science, Springer, volume 5, issue 2, pages 327-349, June, DOI: 10.1007/s41685-020-00181-5.
• Kenshiro Ninomiya & Masaaki Tokuda, 2021, "Structural change and financial instability in the US economy," Evolutionary and Institutional Economics Review, Springer, volume 18, issue 1, pages 205-226, April, DOI: 10.1007/s40844-020-00169-y.
• Erik Meijer & Edward Oczkowski & Tom Wansbeek, 2021, "How measurement error affects inference in linear regression," Empirical Economics, Springer, volume 60, issue 1, pages 131-155, January, DOI: 10.1007/s00181-020-01942-z.
• Esfandiar Maasoumi & Almas Heshmati & Inhee Lee, 2021, "RETRACTED ARTICLE: Green innovations and patenting renewable energy technologies," Empirical Economics, Springer, volume 60, issue 1, pages 513-538, January, DOI: 10.1007/s00181-020-01986-1.
• Siwen Zhou, 2021, "Exploring the driving forces of the Bitcoin currency exchange rate dynamics: an EGARCH approach," Empirical Economics, Springer, volume 60, issue 2, pages 557-606, February, DOI: 10.1007/s00181-019-01776-4.
• Jack Fosten & Daniel Gutknecht, 2021, "Horizon confidence sets," Empirical Economics, Springer, volume 61, issue 2, pages 667-692, August, DOI: 10.1007/s00181-020-01891-7.
• Laura Casula & Giovanni Masala, 2021, "Electricity derivatives: an application to the futures Italian market," Empirical Economics, Springer, volume 61, issue 2, pages 637-666, August, DOI: 10.1007/s00181-020-01915-2.
• Yan Qian & Zijun Wang, 2021, "A model selection approach to jointly testing for structural breaks and cointegration with application to the Eurocurrency interest rates market," Empirical Economics, Springer, volume 61, issue 2, pages 799-825, August, DOI: 10.1007/s00181-020-01916-1.
• Georges Tsafack & James Cataldo, 2021, "Backtesting and estimation error: value-at-risk overviolation rate," Empirical Economics, Springer, volume 61, issue 3, pages 1351-1396, September, DOI: 10.1007/s00181-020-01905-4.
• Afees A. Salisu & Kingsley Obiora, 2021, "COVID-19 pandemic and the crude oil market risk: hedging options with non-energy financial innovations," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 7, issue 1, pages 1-19, December, DOI: 10.1186/s40854-021-00253-1.
• Tobias Fissler & Jana Hlavinová & Birgit Rudloff, 2021, "Elicitability and identifiability of set-valued measures of systemic risk," Finance and Stochastics, Springer, volume 25, issue 1, pages 133-165, January, DOI: 10.1007/s00780-020-00446-z.
• Takashi Oga, 2021, "Intertemporal Cointegration Model: A New Approach to the Lead–Lag Relationship Between Cointegrated Time Series," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 17, issue 1, pages 27-53, April, DOI: 10.1007/s41549-021-00052-8.
• Nils Bertschinger & Iurii Mozzhorin, 2021, "Bayesian estimation and likelihood-based comparison of agent-based volatility models," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 16, issue 1, pages 173-210, January, DOI: 10.1007/s11403-020-00289-z.
• Augusto Cerqua & Roberta Di Stefano & Marco Letta & Sara Miccoli, 2021, "Local mortality estimates during the COVID-19 pandemic in Italy," Journal of Population Economics, Springer;European Society for Population Economics, volume 34, issue 4, pages 1189-1217, October, DOI: 10.1007/s00148-021-00857-y.
• Ali Habibnia & Esfandiar Maasoumi, 2021, "Forecasting in Big Data Environments: An Adaptable and Automated Shrinkage Estimation of Neural Networks (AAShNet)," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), volume 19, issue 1, pages 363-381, December, DOI: 10.1007/s40953-021-00275-7.
• Roberto S. Mariano & Suleyman Ozmucur, 2021, "Predictive Performance of Mixed-Frequency Nowcasting and Forecasting Models (with Application to Philippine Inflation and GDP Growth)," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), volume 19, issue 1, pages 383-400, December, DOI: 10.1007/s40953-021-00276-6.
• Rosina O. Weber & Kedma B. Duarte, 2021, "Data-driven artificial intelligence to automate researcher assessment," Scientometrics, Springer;Akadémiai Kiadó, volume 126, issue 4, pages 3265-3281, April, DOI: 10.1007/s11192-020-03859-x.
• Rodrigo Mulero & Alfredo García-Hiernaux, 2021, "Forecasting Spanish unemployment with Google Trends and dimension reduction techniques," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, volume 12, issue 3, pages 329-349, September, DOI: 10.1007/s13209-021-00231-x.
• Alperen Bektas & Valentino Piana & René Schumann, 2021, "A meso-level empirical validation approach for agent-based computational economic models drawing on micro-data: a use case with a mobility mode-choice model," SN Business & Economics, Springer, volume 1, issue 6, pages 1-25, June, DOI: 10.1007/s43546-021-00083-4.
• Javier Ojea-Ferreiro, 2021, "Deconstructing Systemic Risk: A Reverse Stress Testing Approach," Springer Books, Springer, in: Marco Corazza & Manfred Gilli & Cira Perna & Claudio Pizzi & Marilena Sibillo, "Mathematical and Statistical Methods for Actuarial Sciences and Finance", DOI: 10.1007/978-3-030-78965-7_54.
• Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2021, "Is there a euro effect in the drivers of US FDI? New evidence using Bayesian model averaging techniques," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), volume 157, issue 4, pages 881-926, November, DOI: 10.1007/s10290-020-00405-y.
• Cheng-Wen Lee & Yi Tang Hu, 2021, "Examining Factors Influencing Audit Risk for Professional Accountant in Business," Advances in Management and Applied Economics, SCIENPRESS Ltd, volume 11, issue 1, pages 1-2.
• Kuo-Yu Peng & Hsiu-Li Liao, 2021, "Effectiveness of Using the Meeting Systems in Council Chamber," Advances in Management and Applied Economics, SCIENPRESS Ltd, volume 11, issue 6, pages 1-9.
• Ioannis N. Kallianiotis, 2021, "Exchange Rate Determination: The Portfolio-Balance Approach," Journal of Applied Finance & Banking, SCIENPRESS Ltd, volume 11, issue 1, pages 1-2.
• Hsiang-Hsi Liu & Pi-Hsia Hung & Po-Hung Luo Cho, 2021, "Nonlinear Interactions and Volatility Spillovers between Stock and Foreign Exchange Markets: The STVEC-STGARCH-DCC Approach," Journal of Applied Finance & Banking, SCIENPRESS Ltd, volume 11, issue 4, pages 1-3.
• Magnus, Jan & Vasnev, Andrey, 2021, "On the uncertainty of a combined forecast: The critical role of correlation," Working Papers, University of Sydney Business School, Discipline of Business Analytics, number BAWP-2022-01, Dec.
• Constantin Bürgi & Tara M. Sinclair, 2021, "What does forecaster disagreement tell us about the state of the economy?," Applied Economics Letters, Taylor & Francis Journals, volume 28, issue 1, pages 49-53, January, DOI: 10.1080/13504851.2020.1730751.
• Antoine A. Djogbenou, 2021, "Model selection in factor-augmented regressions with estimated factors," Econometric Reviews, Taylor & Francis Journals, volume 40, issue 5, pages 470-503, April, DOI: 10.1080/07474938.2020.1808371.
• Xun Lu & Ke Miao & Liangjun Su, 2021, "Determination of different types of fixed effects in three-dimensional panels," Econometric Reviews, Taylor & Francis Journals, volume 40, issue 9, pages 867-898, October, DOI: 10.1080/07474938.2021.1889176.
• Simplice A. Asongu & Uchenna R. Efobi & Ibukun Beecroft, 2021, "Aid in Modulating the Impact of Terrorism on FDI: No Positive Thresholds, No Policy," Forum for Social Economics, Taylor & Francis Journals, volume 50, issue 4, pages 432-456, October, DOI: 10.1080/07360932.2018.1434676.
• Gergely Ganics & Atsushi Inoue & Barbara Rossi, 2021, "Confidence Intervals for Bias and Size Distortion in IV and Local Projections-IV Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 39, issue 1, pages 307-324, January, DOI: 10.1080/07350015.2019.1660175.
• Shou-Yung Yin & Chu-An Liu & Chang-Ching Lin, 2021, "Focused Information Criterion and Model Averaging for Large Panels With a Multifactor Error Structure," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 39, issue 1, pages 54-68, January, DOI: 10.1080/07350015.2019.1623044.
• Dimitris Korobilis, 2021, "High-Dimensional Macroeconomic Forecasting Using Message Passing Algorithms," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 39, issue 2, pages 493-504, March, DOI: 10.1080/07350015.2019.1677472.
• Andrew Phiri, 2021, "Is Neo-Fisherism ‘alive’ in South Africa? A frequency domain causality approach," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, volume 14, issue 2, pages 142-156, May, DOI: 10.1080/17520843.2020.1796732.
• Alexander Wehrli & Spencer Wheatley & Didier Sornette, 2021, "Scale-, time- and asset-dependence of Hawkes process estimates on high frequency price changes," Quantitative Finance, Taylor & Francis Journals, volume 21, issue 5, pages 729-752, May, DOI: 10.1080/14697688.2020.1838602.
• Selcuk Gul & Abdullah Kazdal, 2021, "Nowcasting and Short-term Forecasting Turkish GDP: Factor-MIDAS Approach," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 2111.
• Roman Frydman & Joshua Stillwagon, 2021, "Market Participants Neither Commit Predictable Errors nor Conform to REH: Evidence from Survey Data of Inflation Forecasts," Working Papers Series, Institute for New Economic Thinking, number inetwp163, Sep, DOI: 10.36687/inetwp163.
• Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2021, "Weighted-average least squares (WALS): Confidence and prediction intervals," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 21-038/III, May.
• Francisco Blasques & Enzo D'Innocenzo & Siem Jan Koopman, 2021, "Common and Idiosyncratic Conditional Volatility Factors: Theory and Empirical Evidence," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 21-057/III, Jun.
• Mirza Sikalo & Almira Arnaut-Berilo, 2021, "Efficiency Analysis Of The Insurance Sector In Bosnia And Herzegovina," Economic Review: Journal of Economics and Business, University of Tuzla, Faculty of Economics, volume 19, issue 1, pages 49-62, May.
• Ruoyao Shi, 2021, "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers, University of California at Riverside, Department of Economics, number 202105, Feb.
• Nadiia Shapovalenko, 2021, "A Suite of Models for CPI Forecasting," Visnyk of the National Bank of Ukraine, National Bank of Ukraine, issue 252, pages 4-36, DOI: 10.26531/vnbu2021.252.01.
• Francis Bismans, 2021, "Une analyse économétrique des déterminants des hospitalisations dues à la Covid-19," Working Papers of BETA, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg, number 2021-42.
• Florens Odendahl & Barbara Rossi & Tatevik Sekhposyan, 2021, "Evaluating forecast performance with state dependence," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra, number 1800, Jul.
• Jaume Garcia Villar & María José Suárez, 2021, "The relevance of the specification assumptions when modelling the correlates of physical activity: an analysis across dimensions," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra, number 1804, Nov.
• Giuseppe Arbia, 2021, "Stochastic Epidemic Modeling with Application to the Sars-Cov-2 Pandemic in Italy," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, volume 129, issue 1, pages 21-36.
• Kosta Josifidis & Radmila Dragutinović Mitrović & Sladjana Bodor, 2021, "The Effect of Fiscal Deficit on the External Imbalances in the European Union," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, volume 68, issue 5, pages 625-652.
• Jitender, 2021, "Value-at-Risk Estimation of Equity Market Risk in India," Acta Universitatis Sapientiae, Economics and Business, Paradigm, volume 9, issue 1, pages 1-24, September, DOI: 10.2478/auseb-2021-0001.
• Kimouche Bilal, 2021, "The Effect of Stock Market Listing on Real Earnings Management: Evidence From Algerian Companies," Naše gospodarstvo/Our economy, Paradigm, volume 67, issue 4, pages 96-107, December, DOI: 10.2478/ngoe-2021-0024.
• Dawid Siwicki, 2021, "The Application of Machine Learning Algorithms for Spatial Analysis: Predicting of Real Estate Prices in Warsaw," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-05.
• Mateusz Buczyński & Marcin Chlebus, 2021, "GARCHNet - Value-at-Risk forecasting with novel approach to GARCH models based on neural networks," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-08.
• Michał Woźniak & Marcin Chlebus, 2021, "HCR & HCR-GARCH – novel statistical learning models for Value at Risk estimation," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-10.
• Szymon Lis & Marcin Chlebus, 2021, "Comparison of the accuracy in VaR forecasting for commodities using different methods of combining forecasts," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-11.
• Michał Lewandowski & Marcin Chlebus, 2021, "Predicting football outcomes from Spanish league using machine learning models," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-22.
• Aleksander Schiffers & Marcin Chlebus, 2021, "The effectiveness of Value-at-Risk models in various volatility regimes," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-28.
• Rodriguez Castelan,Carlos & Granguillhome Ochoa,Rogelio & Lach,Samantha & Masaki,Takaaki, 2021, "Mobile Internet Adoption in West Africa," Policy Research Working Paper Series, The World Bank, number 9560, Mar.
• Vadim Kufenko & Klaus Prettner, 2021, "Do you know your biases? A Monte Carlo analysis of dynamic panel data estimators," Department of Economics Working Papers, Vienna University of Economics and Business, Department of Economics, number wuwp316, Sep.
• Kufenko, Vadim & Prettner, Klaus, 2021, "Do you know your biases? A Monte Carlo analysis of dynamic panel data estimators," Department of Economics Working Paper Series, WU Vienna University of Economics and Business, number 316, Sep.
• Cameron Roach & Rob Hyndman & Souhaib Ben Taieb, 2021, "Non‐linear mixed‐effects models for time series forecasting of smart meter demand," Journal of Forecasting, John Wiley & Sons, Ltd., volume 40, issue 6, pages 1118-1130, September, DOI: 10.1002/for.2750.
• Ricardo Crisóstomo, 2021, "Estimating real‐world probabilities: A forward‐looking behavioral framework," Journal of Futures Markets, John Wiley & Sons, Ltd., volume 41, issue 11, pages 1797-1823, November, DOI: 10.1002/fut.22248.
• Timothy B. Armstrong & Michal Kolesár, 2021, "Sensitivity analysis using approximate moment condition models," Quantitative Economics, Econometric Society, volume 12, issue 1, pages 77-108, January, DOI: 10.3982/QE1609.
• Gabriele Fiorentini & Enrique Sentana, 2021, "Specification tests for non‐Gaussian maximum likelihood estimators," Quantitative Economics, Econometric Society, volume 12, issue 3, pages 683-742, July, DOI: 10.3982/QE1406.
• Simplice A. Asongu & Joseph Nnanna, 2021, "Globalization, Governance, and the Green Economy in Sub‐Saharan Africa: Policy Thresholds," World Affairs, John Wiley & Sons, volume 184, issue 2, pages 176-212, June, DOI: 10.1177/00438200211017288.
• Inoue, Atsushi & Kilian, Lutz, 2021, "The role of the prior in estimating VAR models with sign restrictions," CFS Working Paper Series, Center for Financial Studies (CFS), number 660.
• Kilian, Lutz, 2021, "Facts and fiction in oil market modeling," CFS Working Paper Series, Center for Financial Studies (CFS), number 661.
• Vrigazova, Borislava, 2021, "Novel Approach to Choosing Principal Components Number in Logistic Regression," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2021), Hybrid Conference, Zagreb, Croatia, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb, "Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Zagreb, Croatia, 9-10 September 2021", DOI: 10.54820/PUCR5250.
• Ofori, Isaac K. & Quaidoo, Christopher & Ofori, Pamela E., 2021, "What Drives Financial Sector Development in Africa? Insights from Machine Learning," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue forthcomi.
• Ofori, Isaac Kwesi, 2021, "Catching The Drivers of Inclusive Growth in Sub-Saharan Africa: An Application of Machine Learning," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 235482.
• Steiner, Viktor & Zhu, Junyi, 2021, "A joint top income and wealth distribution," Discussion Papers, Free University Berlin, School of Business & Economics, number 2021/3, DOI: 10.17169/refubium-29198.
• Li, Wei & Paraschiv, Florentina & Sermpinis, Georgios, 2021, "A data-driven explainable case-based reasoning approach for financial risk detection," IRTG 1792 Discussion Papers, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", number 2021-010.
• Hu, Junjie & López Cabrera, Brenda & Melzer, Awdesch, 2021, "Advanced statistical learning on short term load process forecasting," IRTG 1792 Discussion Papers, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", number 2021-020.
• Hartl, Tobias, 2021, "Monitoring the pandemic: A fractional filter for the COVID-19 contact rate," VfS Annual Conference 2021 (Virtual Conference): Climate Economics, Verein für Socialpolitik / German Economic Association, number 242380.
• Anthony D. Hall & Annastiina Silvennoinen & Timo Teräsvirta, 2021, "Four Australian Banks and the Multivariate Time-Varying Smooth Transition Correlation GARCH model," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2021-13, Sep.
• Simplice A. Asongu & Joseph Nnanna, 2021, "Globalization, Governance and the Green Economy in Sub-Saharan Africa: Policy Thresholds," Research Africa Network Working Papers, Research Africa Network (RAN), number 21/015, Jan.
• Simplice A. Asongu & Tii N. Nchofoung, 2021, "The terrorism-finance nexus contingent on globalisation and governance dynamics in Africa," Research Africa Network Working Papers, Research Africa Network (RAN), number 21/016, Mar.
• Simplice A. Asongu & Rexon T. Nting, 2021, "The Mobile Phone in Governance for Environmental Sustainability in Sub-Saharan Africa," Research Africa Network Working Papers, Research Africa Network (RAN), number 21/035, Jan.
• Isaac K. Ofori, 2021, "Catching the Drivers of Inclusive Growth in Sub-Saharan Africa: An Application of Machine Learning," Research Africa Network Working Papers, Research Africa Network (RAN), number 21/044, Jan.
• Tii N. Nchofoung & Simplice A. Asongu, 2021, "ICT for Sustainable Development: Global Comparative Evidence of Globalisation Thresholds," Research Africa Network Working Papers, Research Africa Network (RAN), number 21/061, Jan.
• Isaac K. Ofori & Christopher Quaidoo & Pamela E. Ofori, 2021, "What Drives Financial Sector Development in Africa? Insights from Machine Learning," Research Africa Network Working Papers, Research Africa Network (RAN), number 21/074, Jan.
• Mihai Paunica & Alexandru Manole & Catalina Motofei & Gabriela-Lidia Tanase, 2021, "Resilience of the European Union Economies. An Analysis of the Granger Causality at the Level of the Gross Domestic Product," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 23, issue Special15, pages 914-914, November.
• Simplice A. Asongu & Joseph Nnanna, 2021, "Globalization, Governance and the Green Economy in Sub-Saharan Africa: Policy Thresholds," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 21/015, Jan.
• Simplice A. Asongu & Tii N. Nchofoung, 2021, "The terrorism-finance nexus contingent on globalisation and governance dynamics in Africa," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 21/016, Mar.
• Simplice A. Asongu & Rexon T. Nting, 2021, "The Mobile Phone in Governance for Environmental Sustainability in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 21/035, Jan.
• Isaac K. Ofori, 2021, "Catching the Drivers of Inclusive Growth in Sub-Saharan Africa: An Application of Machine Learning," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 21/044, Jan.
• Tii N. Nchofoung & Simplice A. Asongu, 2021, "ICT for Sustainable Development: Global Comparative Evidence of Globalisation Thresholds," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 21/061, Jan.
• Isaac K. Ofori & Christopher Quaidoo & Pamela E. Ofori, 2021, "What Drives Financial Sector Development in Africa? Insights from Machine Learning," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 21/074, Jan.
• Maranzano, Paolo & Cerdeira Bento, Joao Paulo & Manera, Matteo, undated, "The Role of Education and Income Inequality on Environmental Quality. A Panel Data Analysis of the EKC Hypothesis on OECD," FEEM Working Papers, Fondazione Eni Enrico Mattei (FEEM), number 310225, DOI: 10.22004/ag.econ.310225.
• Gouel, Christophe & Legrand, Nicolas, 2021, "The Role of Storage in Commodity Markets: Indirect Inference Based on Grains Data," 2021 Conference, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management, number 316404, DOI: 10.22004/ag.econ.316404.
• Argyrios D. Kolokontes, 2021, "Reposition of Forward-to-Backward Input-Output Analysis," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, volume 68, issue 2, pages 195-232, June, DOI: 10.47743/saeb-2021-0015.
• Vrins, Frédéric & Wang, Linqi, 2021, "Asymmetric short-rate model without lower bound," LIDAM Discussion Papers LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2021006, Aug.
• Lachlan O'Neill & Simon D Angus & Satya Borgohain & Nader Chmait & David Dowe, 2021, "Creating Powerful and Interpretable Models with Regression Networks," SoDa Laboratories Working Paper Series, Monash University, number 2021-09, Sep.
• Lachlan O'Neill & Nandini Anantharama & Wray Buntine & Simon D Angus, 2021, "Quantitative Discourse Analysis at Scale - AI, NLP and the Transformer Revolution," SoDa Laboratories Working Paper Series, Monash University, number 2021-12, Dec.
• Aneta Kosztowniak, 2021, "Reinvestment of earnings in Polish FDI inflows," Acta Oeconomica, Akadémiai Kiadó, Hungary, volume 71, issue 3, pages 465-485, September, DOI: 10.1556/032.2021.00023.
• Riccardo Lucchetti & Luca Pedini & Claudia Pigini, 2021, "Bayesian Model Averaging For Propensity Score Matching In Tax Rebate," Working Papers, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali, number 457, Jun.
• Игсатов О.Р. // Igsatov О.R., 2021, "Анализ эффективности процентного канала в Казахстане // Analyzing effectiveness of the interest rate channel in Kazakhstan," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 1, pages 4-14.
• Константин Орлов // Konstantin Orlov, 2021, "Построение большой байесовской авторегрессионной модели для Казахстана // Building a Large Bayesian Vector Autoregression Model for Kazakhstan," Working Papers, National Bank of Kazakhstan, number #2021-1.
• Тулеуов Олжас // Tuleuov Olzhas & Багжанов Бекжан // Bagzhanov Bekzhan & Жузбаев Адам // Zhuzbayev Adam, 2021, "Роль фискальной политики в ценовой (не)стабильности в Казахстане: эмпирическая оценка и механизм макроэкономической балансировки // Role of the Fiscal Policy in the Price (In) Stability in Kazakhstan: Empiric Assessment and Macroeconomic Equilibratin," Working Papers, National Bank of Kazakhstan, number #2021-3.
• Marinho Bertanha, 2021, "Regression Discontinuity Design with Many Thresholds," Papers, arXiv.org, number 2101.01245, Jan.
• Francis X. Diebold & Maximilian Gobel, 2021, "A Benchmark Model for Fixed-Target Arctic Sea Ice Forecasting," Papers, arXiv.org, number 2101.10359, Jan, revised Jan 2022.
• Ivar Ekeland & Alfred Galichon & Marc Henry, 2021, "Optimal transportation and the falsifiability of incompletely specified economic models," Papers, arXiv.org, number 2102.04162, Feb, revised Feb 2021.
• Hui Chen & Antoine Didisheim & Simon Scheidegger, 2021, "Deep Structural Estimation: With an Application to Option Pricing," Papers, arXiv.org, number 2102.09209, Feb.
• Tobias Hartl, 2021, "Monitoring the pandemic: A fractional filter for the COVID-19 contact rate," Papers, arXiv.org, number 2102.10067, Feb.
• Alberto Bisin & Andrea Moro, 2021, "Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses," Papers, arXiv.org, number 2102.10145, Feb, revised Jun 2021.
• Liyang Sun, 2021, "Empirical Welfare Maximization with Constraints," Papers, arXiv.org, number 2103.15298, Mar, revised Dec 2025.
• Mingli Chen & Andreas Joseph & Michael Kumhof & Xinlei Pan & Xuan Zhou, 2021, "Deep Reinforcement Learning in a Monetary Model," Papers, arXiv.org, number 2104.09368, Apr, revised Jan 2023.
• Sune Karlsson & Stepan Mazur & Hoang Nguyen, 2021, "Vector autoregression models with skewness and heavy tails," Papers, arXiv.org, number 2105.11182, May.
• Nail Kashaev & Victor H. Aguiar, 2021, "A Random Attention and Utility Model," Papers, arXiv.org, number 2105.11268, May, revised May 2022.
• Mikkel Bennedsen & Asger Lunde & Neil Shephard & Almut E. D. Veraart, 2021, "Inference and forecasting for continuous-time integer-valued trawl processes," Papers, arXiv.org, number 2107.03674, Jul, revised Feb 2023.
• Wei Li & Florentina Paraschiv & Georgios Sermpinis, 2021, "A Data-driven Explainable Case-based Reasoning Approach for Financial Risk Detection," Papers, arXiv.org, number 2107.08808, Jul.
• Siddhartha Chib & Minchul Shin & Anna Simoni, 2021, "Bayesian Estimation and Comparison of Conditional Moment Models," Papers, arXiv.org, number 2110.13531, Oct.
• Joshua C. C. Chan, 2021, "Asymmetric Conjugate Priors for Large Bayesian VARs," Papers, arXiv.org, number 2111.07170, Nov.
• Dimitris Korobilis & Kenichi Shimizu, 2021, "Bayesian Approaches to Shrinkage and Sparse Estimation," Papers, arXiv.org, number 2112.11751, Dec.
• Sabyasachi Kar & Amaani Bashir & Mayank Jain, 2021, "New Approaches to Forecasting Growth and Inflation: Big Data and Machine Learning," IEG Working Papers, Institute of Economic Growth, number 446, Oct.
• Nazrin Ramazanova & Ramiz Rahmanov, 2021, "Nowcasting Household Consumption in Azerbaijan," Working Papers, Central Bank of Azerbaijan Republic, number 2101, Dec.
• Felix Brunner & Ruben Hipp, 2021, "Estimating Large-Dimensional Connectedness Tables: The Great Moderation Through the Lens of Sectoral Spillovers," Staff Working Papers, Bank of Canada, number 21-37, Aug, DOI: 10.34989/swp-2021-37.
• Claire Giordano & Marco Marinucci & Andrea Silvestrini, 2021, "Forecasting corporate capital accumulation in Italy: the role of survey-based information," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 596, Feb.
• Valentina Aprigliano & Simone Emiliozzi & Gabriele Guaitoli & Andrea Luciani & Juri Marcucci & Libero Monteforte, 2021, "The power of text-based indicators in forecasting the Italian economic activity," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1321, Mar.
• Maria Ludovica Drudi & Stefano Nobili, 2021, "A liquidity risk early warning indicator for Italian banks: a machine learning approach," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1337, Jun.
• Hernán Rincón-Castro & Pedro Rubiano-López & Lisseth Yaya-Garzón & Héctor M. Zárate-Solano, 2021, "Traspaso de la tasa de cambio a la inflación básica en Colombia: un análisis de parámetros cambiantes en el tiempo," Borradores de Economia, Banco de la Republica de Colombia, number 1177, Oct, DOI: 10.32468/be.1177.
• Amandine Tran, 2021, "Statistical Modelization of Overindebtedness," Working papers, Banque de France, number 807.
• Mathilde Gerardin & Martial Ranvier, 2021, "Enrichment of the Banque de France s monthly business survey: lessons from textual analysis of business leaders comments," Working papers, Banque de France, number 821.
• Florens Odendahl & Barbara Rossi & Tatevik Sekhposyan, 2021, "Evaluating Forecast Performance with State Dependence," Working Papers, Barcelona School of Economics, number 1295, Oct.
• Jaume Garcia-Villar & María José Suarez, 2021, "The Relevance of the Specification Assumptions when Modelling the Correlates of Physical Activity: an Analysis across Dimensions," Working Papers, Barcelona School of Economics, number 1296, Nov.
• Andrejs Bessonovs & Olegs Krasnopjorovs, 2021, "Short-term inflation projections model and its assessment in Latvia," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, volume 21, issue 2, pages 184-204.
• Vrigazova Borislava, 2021, "The Proportion for Splitting Data into Training and Test Set for the Bootstrap in Classification Problems," Business Systems Research, Paradigm, volume 12, issue 1, pages 228-242, May, DOI: 10.2478/bsrj-2021-0015.
• Ksenia Mayorova & Nikita Fokin, 2021, "Nowcasting Growth Rates of Russia's Export and Import by Commodity Group," Russian Journal of Money and Finance, Bank of Russia, volume 80, issue 3, pages 34-48, September, DOI: 10.31477/rjmf.202103.34.
• Sergey Slobodyan & Raf Wouters, 2021, "Survey Expectations and Learning," Russian Journal of Money and Finance, Bank of Russia, volume 80, issue 2, pages 3-27, June, DOI: 10.31477/rjmf.202102.03.
• Roman Tikhonov & Aleksey Masyutin & Vadim Anpilogov, 2021, "The Relationship Between the Financial Performance of Banks and the Quality of Credit Scoring Models," Russian Journal of Money and Finance, Bank of Russia, volume 80, issue 2, pages 76-95, June, DOI: 10.31477/rjmf.202102.76.
• Tommaso Proietti & Alessandro Giovannelli, 2021, "Nowcasting monthly GDP with big data: A model averaging approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, volume 184, issue 2, pages 683-706, April, DOI: 10.1111/rssa.12645.
• Pål Boug & Ådne Cappelen & Eilev S. Jansen & Anders Rygh Swensen, 2021, "The Consumption Euler Equation or the Keynesian Consumption Function?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, volume 83, issue 1, pages 252-272, February, DOI: 10.1111/obes.12394.
• Don Bredin & Stilianos Fountas & Christos Savva, 2021, "Is British output growth related to its uncertainty? Evidence using eight centuries of data," Scottish Journal of Political Economy, Scottish Economic Society, volume 68, issue 3, pages 345-364, July, DOI: 10.1111/sjpe.12270.
• Jamie L. Cross & Bao H. Nguyen & Trung Duc Tran, 2021, "The Role of Precautionary and Speculative Demand in the Global Market for Crude Oil," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 06/2021, Nov.
• Zacharias Bragoudakis & Dimitrios Panas, 2021, "Investigating government spending multiplier for the US economy: empirical evidence using a triple lasso approach," Working Papers, Bank of Greece, number 292, Oct.
• Sahoko Furuta & Yudai Hatayama & Atsushi Kawakami & Yusuke Oh, 2021, "New Hedonic Quality Adjustment Method using Sparse Estimation," Bank of Japan Working Paper Series, Bank of Japan, number 21-E-8, Jul.
• Becker William & Paruolo Paolo & Saltelli Andrea, 2021, "Variable Selection in Regression Models Using Global Sensitivity Analysis," Journal of Time Series Econometrics, De Gruyter, volume 13, issue 2, pages 187-233, July, DOI: 10.1515/jtse-2018-0025.
• Elena Denisa Bala & Stelian Stancu, 2021, "Limiting informal economy in the context of business environment regulations. An analysis of -young- European Union members," Manager Journal, Faculty of Business and Administration, University of Bucharest, volume 33, issue 1, pages 55-66, May.
• Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2021, "Italian Labour Frictions and Wage Rigidities in an Estimated DSGE," BEMPS - Bozen Economics & Management Paper Series, Faculty of Economics and Management at the Free University of Bozen, number BEMPS88, Sep.
• Maurin Baillif & Matthieu de Lapparent & Evanthia Kazagli, 2021, "A Hybrid Approach to Real Estate Price Definition: A Case Study in Western Switzerland," Revue économique, Presses de Sciences-Po, volume 72, issue 6, pages 1055-1077.
• Palumbo, D., 2021, "Testing and Modelling Time Series with Time Varying Tails," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2111, Jan.
• Vesna Karadžić & Nikola Đalović, 2021, "Profitability Determinants of Big European Banks," Journal of Central Banking Theory and Practice, Central bank of Montenegro, volume 10, issue 2, pages 39-56.
• Chou, Jenyu & Easaw, Joshy & Minford, Patrick, 2021, "Does Inattentiveness Matter for DSGE Modelling? An Empirical Investigation," Cardiff Economics Working Papers, Cardiff University, Cardiff Business School, Economics Section, number E2021/35, Dec.
• Filip Stanek, 2021, "Optimal Out-of-Sample Forecast Evaluation under Stationarity," CERGE-EI Working Papers, The Center for Economic Research and Graduate Education - Economics Institute, Prague, number wp712, Nov.
• Douglas Silveira & Silvinha Vasconcelos & Marcelo Resende & Daniel O. Cajueiro, 2021, "Won't Get Fooled Again: A Supervised Machine Learning Approach for Screening Gasoline Cartels," CESifo Working Paper Series, CESifo, number 8835.
• Christiane Baumeister, 2021, "Measuring Market Expectations," CESifo Working Paper Series, CESifo, number 9305.
• Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2021, "Optimal Price Targeting," CESifo Working Paper Series, CESifo, number 9439.
• Tsutomu Watanabe & Tomoyoshi Yabu, 2021, "Japan’s Voluntary Lockdown: Further Evidence Based on Age-Specific Mobile Location Data," CARF F-Series, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, number CARF-F-508, Feb.
• Gaetan Bakalli & Stéphane Guerrier & Olivier Scaillet, 2021, "A penalized two-pass regression to predict stock returns with time-varying risk premia," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 21-09, Jan.
• Michael Mayer & Steven C. Bourassa & Martin Hoesli & Donato Scognamiglio, 2021, "Structured Additive Regression and Tree Boosting," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 21-83, Sep.
• Damir Filipović & Amir Khalilzadeh, 2021, "Machine Learning for Predicting Stock Return Volatility," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 21-95, Dec.
• Maxime Fajeau, 2021, "Too much finance or too many weak instruments?," International Economics, CEPII research center, issue 165, pages 14-36.
• Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2021, "Italian Labour Frictions and Wage Rigidities in an Estimated DSGE," CIRANO Working Papers, CIRANO, number 2021s-33, Sep.
• Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2021, "Moment tests of independent components," Working Papers, CEMFI, number wp2021_2102, Feb.
• Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2021, "Multivariate Hermite polynomials and information matrix tests," Working Papers, CEMFI, number wp2021_2103, May.
• Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2021, "Tests for random coefficient variation in vector autoregressive models," Working Papers, CEMFI, number wp2021_2108, Sep.
• Ricardo Crisóstomo, 2021, "Estimación de probabilidades representativas del mundo real: importancia de los sesgos conductuales," CNMV Documentos de Trabajo, CNMV- Comisión Nacional del Mercado de Valores - Departamento de Estudios y Estadísticas, number CNMV Documentos de Trabaj.
• Javier Ojea-Ferreiro, 2021, "Deconstrucción del riesgo sistémico: Un método de prueba de resistencia inversa," CNMV Documentos de Trabajo, CNMV- Comisión Nacional del Mercado de Valores - Departamento de Estudios y Estadísticas, number CNMV Documentos de Trabaj.
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• Javier Ojea-Ferreiro, 2021, "Deconstructing systemic risk: A reverse stress testing approach," CNMV Working Papers, CNMV- Spanish Securities Markets Commission - Research and Statistics Department, number CNMV Working Papers no. 7.
• Nicol√°s Urdaneta Andrade, 2021, "¬øHombres "cracks" y mujeres "amables"? Sesgos de g√©nero en encuestas de profesores," Documentos CEDE, Universidad de los Andes, Facultad de Economía, CEDE, number 19557, Aug.
• Smith, Adam & Seiler, Stephan & Aggarwal, Ishant, 2021, "Optimal Price Targeting," CEPR Discussion Papers, Centre for Economic Policy Research, number 16096, May.
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• Zea Bermúdez, Patricia de & Marín, Juan Miguel & Rue, Havard & Veiga, Helena, 2021, "Integrated nested Laplace approximations for threshold stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS, Universidad Carlos III de Madrid. Departamento de Estadística, number 31804, Jan.
• Minsu Chang & Xiaohong Chen & Frank Schorfheide, 2021, "Heterogeneity and Aggregate Fluctuations," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2289, May.
• Тодор Кръстевич, 2021, "Моделиране На Вероятностния Избор При Покупка," Scientific Research Almanac, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, volume 29, issue 1 Year 20, pages 5-47.
• Simplice A. Asongu & Rexon T. Nting, 2021, "The Mobile Phone in Governance for Environmental Sustainability in Sub-Saharan Africa," Journal of Africa SEER Centre(ASC), Africa SEER Centre(ASC), number 21/013, Jan.
• Simplice A. Asongu & Tii N. Nchofoung, 2021, "The terrorism-finance nexus contingent on globalisation and governance dynamics in Africa," Journal of Africa SEER Centre(ASC), Africa SEER Centre(ASC), number 21/022, Mar.
• Jan Philipp Fritsche, 2021, "Labor-Intensive Firms Are a Catalyst for Monetary Policy and Its Distributive Effects," DIW Weekly Report, DIW Berlin, German Institute for Economic Research, volume 11, issue 35/36, pages 261-266.
• Armin Varmaz & Katharina Riebe & Sabrina Hegner, 2021, "Sustainable Financial Literacy and Preferences for Sustainable Investments among Young Adults," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, volume 90, issue 4, pages 43-69, DOI: 10.3790/vjh.90.4.43.
• Jan Philipp Fritsche, 2021, "Arbeitsintensive Unternehmen sind ein Katalysator für Geldpolitik und ihre Verteilungseffekte," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, volume 88, issue 36, pages 587-592.
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• Nickel, Christiane & Fröhling, Annette & Álvarez, Luis J. & Willeke, Caroline & Zevi, Giordano & Osbat, Chiara & Ganoulis, Ioannis & Koester, Gerrit & Lis, Eliza & Peronaci, Romana & Hahn, Elke & Beka, 2021, "Inflation measurement and its assessment in the ECB’s monetary policy strategy review," Occasional Paper Series, European Central Bank, number 265, Sep.
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• Chaido Dritsaki & Dimitrios Niklis & Pavlos Stamatiou, 2021, "Oil Consumption Forecasting using ARIMA Models: An Empirical Study for Greece," International Journal of Energy Economics and Policy, International Journal of Energy Economics and Policy, volume 11, issue 4, pages 214-224.
• Bosede Ngozi Adeleye & Darlington Akam & Nasiru Inuwa & Muftau Olarinde & Victoria Okafor & Ifeoluwa Ogunrinola & Paul Adekola, 2021, "Investigating Growth-Energy-Emissions Trilemma in South Asia," International Journal of Energy Economics and Policy, International Journal of Energy Economics and Policy, volume 11, issue 5, pages 112-120.
• Chung, Hess & Fuentes-Albero, Cristina & Paustian, Matthias & Pfajfar, Damjan, 2021, "Latent variables analysis in structural models: A New decomposition of the kalman smoother," Journal of Economic Dynamics and Control, Elsevier, volume 125, issue C, DOI: 10.1016/j.jedc.2021.104097.
• Berger, Tino & Everaert, Gerdie & Pozzi, Lorenzo, 2021, "Testing for international business cycles: A multilevel factor model with stochastic factor selection," Journal of Economic Dynamics and Control, Elsevier, volume 128, issue C, DOI: 10.1016/j.jedc.2021.104134.
• Castle, Jennifer L. & Kurita, Takamitsu, 2021, "A dynamic econometric analysis of the dollar-pound exchange rate in an era of structural breaks and policy regime shifts," Journal of Economic Dynamics and Control, Elsevier, volume 128, issue C, DOI: 10.1016/j.jedc.2021.104139.