Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting with DSGE Models
2. Forecasting

2021

• 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, Sciendo, 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, Sciendo, 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.

2020

• Massimiliano Mazzanti & Antonio Musolesi, 2020, "Modeling Green Knowledge Production and Environmental Policies with Semiparametric Panel Data Regression models," SEEDS Working Papers, SEEDS, Sustainability Environmental Economics and Dynamics Studies, number 1420, Sep, revised Sep 2020.
• Andrey Zahariev & Mikhail Zveryаkov & Stoyan Prodanov & Galina Zaharieva & Petko Angelov & Silvia Zarkova & Mariana Petrova, 2020, "Debt management evaluation through Support Vector Machines: on the example of Italy and Greece," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, volume 7, issue 3, pages 2382-2393, March, DOI: 10.9770/jesi.2020.7.3(61).
• María Torrado & Álvaro Escribano, 2020, "European gasoline markets: price transmission asymmetries in mean and variance," Applied Economics, Taylor & Francis Journals, volume 52, issue 42, pages 4621-4638, September, DOI: 10.1080/00036846.2020.1739224.
• Andrea Bastianin, 2020, "Robust measures of skewness and kurtosis for macroeconomic and financial time series," Applied Economics, Taylor & Francis Journals, volume 52, issue 7, pages 637-670, February, DOI: 10.1080/00036846.2019.1640862.
• Xingwei Hu, 2020, "A theory of dichotomous valuation with applications to variable selection," Econometric Reviews, Taylor & Francis Journals, volume 39, issue 10, pages 1075-1099, November, DOI: 10.1080/07474938.2020.1735750.
• Dante Amengual & Enrique Sentana, 2020, "Is a Normal Copula the Right Copula?," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 38, issue 2, pages 350-366, April, DOI: 10.1080/07350015.2018.1505631.
• Simplice A. Asongu & Rexon T. Nting & Joseph Nnanna, 2020, "Linkages between Globalisation, Carbon Dioxide Emissions and Governance in Sub-Saharan Africa," International Journal of Public Administration, Taylor & Francis Journals, volume 43, issue 11, pages 949-963, August, DOI: 10.1080/01900692.2019.1663530.
• Cross, James L. & Nguyen, Bao H. & Tran, Trung Duc, 2020, "The role of precautionary and speculative demand in the global market for crude oil," Working Papers, University of Tasmania, Tasmanian School of Business and Economics, number 2020-02.
• Mahmut Gunay, 2020, "Nowcasting Turkish GDP Growth with Targeted Predictors: Fill in the Blanks," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 2006.
• Paolo Gorgi & Siem Jan Koopman, 2020, "Beta observation-driven models with exogenous regressors: a joint analysis of realized correlation and leverage effects," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 20-004/III, Jan.
• Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2020, "Sampling properties of the Bayesian posterior mean with an application to WALS estimation," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 20-015/III, Mar.
• Leandro De Magalhaes & Dominik Hangartner & Salomo Hirvonen & Jaakko Meriläinen & Nelson A. Ruiz, 2020, "How Much Should We Trust Regression Discontinuity Design Estimates? Evidence from Experimental Benchmarks of the Incumbency Advantage," Discussion Papers, Aboa Centre for Economics, number 135, Aug.
• Cheng Chou & Ruoyao Shi, 2020, "Utilizing Two Types of Survey Data to Enhance the Accuracy of Labor Supply Elasticity Estimation," Working Papers, University of California at Riverside, Department of Economics, number 202018, Jul.
• David Gabauer & Rangan Gupta & Hardik A. Marfatia & Stephen M. Miller, 2020, "Estimating U.S. Housing Price Network Connectedness: Evidence from Dynamic Elastic Net, Lasso, and Ridge Vector Autoregressive Models," Working papers, University of Connecticut, Department of Economics, number 2020-08, Aug.
• Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2020, "Has the information channel of monetary policy disappeared? Revisiting the empirical evidence," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra, number 1701, Feb, revised Jul 2021.
• Jonas Striaukas & Martin Schumacher & Harald Binder & Matthias Weber, 2020, "Network-Constrained Covariate Coefficient and Connection Sign Estimation," Working Papers on Finance, University of St. Gallen, School of Finance, number 2001, Jan.
• Asongu, Simplice A & Odhiambo, Nicholas M, 2020, "The role of globalization in modulating the effect of enviromental degradation on inclusive human development," Working Papers, University of South Africa, Department of Economics, number 26636, Jan.
• Asongu, Simplice A & Odhiambo, Nicholas M, 2020, "Trade and FDI Thresholds of CO2 emissions for a Green Economy in Sub-Saharan Africa," Working Papers, University of South Africa, Department of Economics, number 26732, Oct.
• Rachele Foschi & Francesca Lilla & Cecilia Mancini, 2020, "Warnings about future jumps: properties of the exponential Hawkes model," Working Papers, University of Verona, Department of Economics, number 13/2020, Jun.
• Vuković Marija & Pivac Snježana & Babić Zoran, 2020, "Comparative analysis of stock selection using a hybrid MCDM approach and modern portfolio theory," Croatian Review of Economic, Business and Social Statistics, Sciendo, volume 6, issue 2, pages 58-68, December, DOI: 10.2478/crebss-2020-0011.
• Kubus Mariusz, 2020, "Evaluation of Resampling Methods in the Class Unbalance Problem," Econometrics. Advances in Applied Data Analysis, Sciendo, volume 24, issue 1, pages 39-50, March, DOI: 10.15611/eada.2020.1.04.
• Migut Grzegorz, 2020, "Assessment of the Influence of Dependent Variable Distribution on Selected Goodness of Fit Measures Using the Example of Customer Churn Model," Econometrics. Advances in Applied Data Analysis, Sciendo, volume 24, issue 1, pages 51-70, March, DOI: 10.15611/eada.2020.1.05.
• Kubus Mariusz, 2020, "The Influence of Unbalanced Economic Data on Feature Selection and Quality of Classifiers," Folia Oeconomica Stetinensia, Sciendo, volume 20, issue 1, pages 232-247, June, DOI: 10.2478/foli-2020-0014.
• Zanka Mikhail, 2020, "A Comparison of Variables Selection Methods and their Sequential Application: A Case Study of the Bankruptcy of Polish Companies," Folia Oeconomica Stetinensia, Sciendo, volume 20, issue 1, pages 531-543, June, DOI: 10.2478/foli-2020-0031.
• Mbekeni Lutho & Phiri Andrew, 2020, "South African Unemployment in the Post-Financial Crisis Era: What are the Determinants?," Folia Oeconomica Stetinensia, Sciendo, volume 20, issue 2, pages 230-248, December, DOI: 10.2478/foli-2020-0046.
• Szkutnik Tomasz, 2020, "Identification of Outliers in High Density Areas with the Use of a Quantile Regression Model," Folia Oeconomica Stetinensia, Sciendo, volume 20, issue 2, pages 375-391, December, DOI: 10.2478/foli-2020-0054.
• Marek Stelmach & Marcin Chlebus, 2020, "Novel multilayer stacking framework with weighted ensemble approach for multiclass credit scoring problem application," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-08.
• Mateusz Buczyński & Marcin Chlebus, 2020, "Size does matter. A study on the required window size for optimal quality market risk models," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-09.
• Marcin Chlebus & Maciej Stefan Świtała, 2020, "So close and so far. Finding similar tendencies in econometrics and machine learning papers. Topic models comparison," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-16.
• Illya Barziy & Marcin Chlebus, 2020, "HRP performance comparison in portfolio optimization under various codependence and distance metrics," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-21.
• Marcin Chlebus & Michał Dyczko & Michał Woźniak, 2020, "Nvidia’s stock returns prediction using machine learning techniques for time series forecasting problem," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-22.
• Mateusz Heba & Marcin Chlebus, 2020, "Impact of using industry benchmark financial ratios on performance of bankruptcy prediction logistic regression model," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-30.
• Honorata Bogusz & Szymon Winnicki & Piotr Wójcik, 2020, "What factors determine unequal suburbanisation? New evidence from Warsaw, Poland," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-34.
• Piotr Wójcik & Bartłomiej Wieczorek, 2020, "We have just explained real convergence factors using machine learning," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-38.
• Quynh Bui & Robert Ślepaczuk, 2020, "Applying Hurst Exponent in Pair Trading Strategies," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-39.
• Julia Grübler & Oliver Reiter, 2020, "Non-tariff Trade Policy Analysis: An Ex-post Assessment of the EU-Korea Agreement," wiiw Working Papers, The Vienna Institute for International Economic Studies, wiiw, number 182, Aug.
• M. Hakan Eratalay & Evgenii V. Vladimirov, 2020, "Mapping the stocks in MICEX: Who is central in the Moscow Stock Exchange?," Economics of Transition and Institutional Change, John Wiley & Sons, volume 28, issue 4, pages 581-620, October, DOI: 10.1111/ecot.12251.
• Michael W. McCracken, 2020, "Diverging Tests of Equal Predictive Ability," Econometrica, Econometric Society, volume 88, issue 4, pages 1753-1754, July, DOI: 10.3982/ECTA17523.
• Xiaoqing Zhou, 2020, "Refining the workhorse oil market model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 35, issue 1, pages 130-140, January, DOI: 10.1002/jae.2743.
• Jonas Dovern & Hans Manner, 2020, "Order‐invariant tests for proper calibration of multivariate density forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 35, issue 4, pages 440-456, June, DOI: 10.1002/jae.2755.
• Marcin Błażejowski & Paweł Kufel & Jacek Kwiatkowski, 2020, "Model simplification and variable selection: A replication of the UK inflation model by Hendry (2001)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 35, issue 5, pages 645-652, August, DOI: 10.1002/jae.2760.
• Duc Khuong Nguyen & Thomas Walther, 2020, "Modeling and forecasting commodity market volatility with long‐term economic and financial variables," Journal of Forecasting, John Wiley & Sons, Ltd., volume 39, issue 2, pages 126-142, March, DOI: 10.1002/for.2617.
• Brad R. Humphreys & Bruce K. Johnson & John C. Whitehead, 2020, "Validity and reliability of contingent valuation and life satisfaction measures of welfare: An application to the value of national Olympic success," Southern Economic Journal, John Wiley & Sons, volume 87, issue 1, pages 316-330, July, DOI: 10.1002/soej.12453.
• Angelini, Giovanni & Caggiano, Giovanni & Castelnuovo, Efrem & Fanelli, Luca, 2020, "Are fiscal multipliers estimated with proxy-SVARs robust?," Bank of Finland Research Discussion Papers, Bank of Finland, number 13/2020.
• Kilian, Lutz, 2020, "Understanding the estimation of oil demand and oil supply elasticities," CFS Working Paper Series, Center for Financial Studies (CFS), number 649.
• Inoue, Atsushi & Kilian, Lutz, 2020, "Joint Bayesian inference about impulse responses in VAR models," CFS Working Paper Series, Center for Financial Studies (CFS), number 650.
• Vrigazova, Borislava, 2020, "Tenfold Bootstrap as Resampling Method in Classification Problems," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2020), Virtual Conference, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb, "Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Virtual Conference, 10-12 September 2020".
• Dimitriadis, Timo & Liu, Xiaochun & Schnaitmann, Julie, 2020, "Encompassing tests for value at risk and expected shortfall multi-step forecasts based on inference on the boundary," Hohenheim Discussion Papers in Business, Economics and Social Sciences, University of Hohenheim, Faculty of Business, Economics and Social Sciences, number 11-2020.
• Nelson, Jon Paul, 2020, "Fixed-effect versus random-effects meta-analysis in economics: A study of pass-through rates for alcohol beverage excise taxes," Economics Discussion Papers, Kiel Institute for the World Economy, number 2020-1.
• Brighton, Henry, 2020, "Statistical foundations of ecological rationality," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, volume 14, pages 1-32, DOI: 10.5018/economics-ejournal.ja.2020-.
• Trimborn, Simon & Härdle, Wolfgang Karl, 2020, "CRIX an Index for cryptocurrencies," IRTG 1792 Discussion Papers, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", number 2020-009.
• Schlösser, Alexander, 2020, "Forecasting industrial production in Germany: The predictive power of leading indicators," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 838, DOI: 10.4419/86788971.
• Bensch, Gunther & Gotz, Gunnar & Peters, Jörg, 2020, "Effects of rural electrification on employment: A comment on Dinkelman (2011)," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 840, DOI: 10.4419/86788973.
• Zhu, Junyi & Steiner, Viktor, 2020, "A Joint Top Income and Wealth Distribution," VfS Annual Conference 2020 (Virtual Conference): Gender Economics, Verein für Socialpolitik / German Economic Association, number 224651.
• Roberto Casarin & Fausto Corradin & Francesco Ravazzolo & Nguyen Domenico Sartore, 2020, "A Scoring Rule for Factor and Autoregressive Models Under Misspecification," Advances in Decision Sciences, Asia University, Taiwan, volume 24, issue 2, pages 66-103, June.
• Daniel Borup & Jonas N. Eriksen & Mads M. Kjær & Martin Thyrsgaard, 2020, "Predicting bond return predictability," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2020-09, Aug.
• Mikkel Bennedsen & Eric Hillebrand & Siem Jan Koopman, 2020, "A statistical model of the global carbon budget," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2020-18, Dec.
• Eric Hillebrand & Jakob Mikkelsen & Lars Spreng & Giovanni Urga, 2020, "Exchange Rates and Macroeconomic Fundamentals: Evidence of Instabilities from Time-Varying Factor Loadings," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2020-19, Dec.
• Simplice A. Asongu & Sara Le Roux & Pritam Singh, 2020, "Fighting terrorism in Africa: complementarity between inclusive development, military expenditure and political stability," Research Africa Network Working Papers, Research Africa Network (RAN), number 20/004, Jan.
• Simplice A. Asongu & Nicholas M. Odhiambo, 2020, "The role of Globalization in Modulating the Effect of Environmental Degradation on Inclusive Human Development," Research Africa Network Working Papers, Research Africa Network (RAN), number 20/015, Jan.
• Simplice A. Asongu & Nicholas M. Odhiambo, 2020, "Trade and FDI Thresholds of CO2 emissions for a Green Economy in Sub-Saharan Africa," Research Africa Network Working Papers, Research Africa Network (RAN), number 20/072, Jan.
• Abel Brodeur & Nikolai Cook & Anthony Heyes, 2020, "Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics," American Economic Review, American Economic Association, volume 110, issue 11, pages 3634-3660, November, DOI: 10.1257/aer.20190687.
• Mark F. J. Steel, 2020, "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, volume 58, issue 3, pages 644-719, September, DOI: 10.1257/jel.20191385.
• Mhamed-Ali El-Aroui & Wafa Snoussi, 2020, "Value-at-Risk in Frontier Markets: Adapted Models and Evidences from Two North-African Stock Exchanges," The African Finance Journal, Africagrowth Institute, volume 22, issue 1, pages 1-20.
• Simplice A. Asongu & Sara Le Roux & Pritam Singh, 2020, "Fighting terrorism in Africa: complementarity between inclusive development, military expenditure and political stability," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 20/004, Jan.
• Simplice A. Asongu & Nicholas M. Odhiambo, 2020, "The role of Globalization in Modulating the Effect of Environmental Degradation on Inclusive Human Development," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 20/015, Jan.
• Simplice A. Asongu & Nicholas M. Odhiambo, 2020, "Trade and FDI Thresholds of CO2 emissions for a Green Economy in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 20/072, Jan.
• Tao Hong & Pierre Pinson & Yi Wang & Rafal Weron & Dazhi Yang & Hamidreza Zareipour, 2020, "Energy forecasting: A review and outlook," WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/20/08, May.
• Augusto Cerqua & Roberta Di Stefano & Marco Letta & Sara Miccoli, 2020, "Local mortality estimates during the COVID-19 pandemic in Italy," Discussion Paper series in Regional Science & Economic Geography, Gran Sasso Science Institute, Social Sciences, number 2020-06, Oct, revised Oct 2020.
• Lodewikus Jacobus Basson & Gary van Vuuren, 2020, "Exploring Hedging Strategies Identified by Fractal Dimensions," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, volume 67, issue 1, pages 1-13, March.
• Candelon, Bertrand & Luisi, Angelo, 2020, "Testing for the Validity of W in GVAR models," LIDAM Discussion Papers LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2020009, Jan.
• Hakan Eryüzlü & Sertaç Hopoğlu, 2020, "A Comparison of Economic Expectations In Germany and Turkey: An Analysis of ZEW and Economic Trust Index Sentiment Indicators," Alphanumeric Journal, Bahadir Fatih Yildirim, volume 8, issue 1, pages 131-142, June, DOI: https://doi.org/10.17093/alphanumer.
• Gregory Howard & John C. Whitehead & Jacob Hochard, 2020, "Estimating Discount Rates Using Referendum-style Choice Experiments: An Analysis of Multiple Methods," Working Papers, Department of Economics, Appalachian State University, number 20-01.
• Davide La Vecchia & Alban Moor & Olivier Scaillet, 2020, "A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data," Papers, arXiv.org, number 2001.04867, Jan, revised Jan 2022.
• Chaonan Jiang & Davide La Vecchia & Elvezio Ronchetti & Olivier Scaillet, 2020, "Saddlepoint approximations for spatial panel data models," Papers, arXiv.org, number 2001.10377, Jan, revised Jul 2021.
• Ji Hyung Lee & Youngki Shin, 2020, "Complete Subset Averaging for Quantile Regressions," Papers, arXiv.org, number 2003.03299, Mar, revised Jul 2021.
• Hannes Wallimann & David Imhof & Martin Huber, 2020, "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," Papers, arXiv.org, number 2004.05629, Apr.
• Dimitris Korobilis, 2020, "High-dimensional macroeconomic forecasting using message passing algorithms," Papers, arXiv.org, number 2004.11485, Apr.
• Thomas H. J{o}rgensen, 2020, "Sensitivity to Calibrated Parameters," Papers, arXiv.org, number 2004.12100, Apr, revised Mar 2021.
• Philipp F. M. Baumann & Enzo Rossi & Alexander Volkmann, 2020, "What Drives Inflation and How: Evidence from Additive Mixed Models Selected by cAIC," Papers, arXiv.org, number 2006.06274, Jun, revised Aug 2022.
• Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2020, "Sparse HP Filter: Finding Kinks in the COVID-19 Contact Rate," Papers, arXiv.org, number 2006.10555, Jun, revised Jul 2020.
• Le-Yu Chen & Sokbae Lee, 2020, "Sparse Quantile Regression," Papers, arXiv.org, number 2006.11201, Jun, revised Mar 2023.
• Mirco Rubin & Dario Ruzzi, 2020, "Equity Tail Risk in the Treasury Bond Market," Papers, arXiv.org, number 2007.05933, Jul.
• Paolo Andreini & Cosimo Izzo & Giovanni Ricco, 2020, "Deep Dynamic Factor Models," Papers, arXiv.org, number 2007.11887, Jul, revised May 2023.
• Timo Dimitriadis & Xiaochun Liu & Julie Schnaitmann, 2020, "Encompassing Tests for Value at Risk and Expected Shortfall Multi-Step Forecasts based on Inference on the Boundary," Papers, arXiv.org, number 2009.07341, Sep.
• Simon Trimborn & Wolfgang Karl Hardle, 2020, "CRIX an index for cryptocurrencies," Papers, arXiv.org, number 2009.09782, Sep.
• Ai Jun Hou & Weining Wang & Cathy Y. H. Chen & Wolfgang Karl Hardle, 2020, "Pricing Cryptocurrency Options," Papers, arXiv.org, number 2009.11007, Sep.
• Marica Valente, 2020, "Policy evaluation of waste pricing programs using heterogeneous causal effect estimation," Papers, arXiv.org, number 2010.01105, Oct, revised Nov 2022.
• Ricardo Cris'ostomo, 2020, "Estimating real-world probabilities: A forward-looking behavioral framework," Papers, arXiv.org, number 2012.09041, Dec, revised Jan 2021.
• Larysa Yakymova, 2020, "Developmental Patterns of Voluntary Pensions in CEE Countries: Analysis through the Bass Diffusion Model Reflecting the Observational Learning Mechanism," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 166-192.
• Jinyue Dong, 2020, "Modelo de predicción de la inflación en China
  [China | Forecasting modeling for China\'s inflation]," Working Papers, BBVA Bank, Economic Research Department, number 20/05, Mar.
• Félix Lores & Pep Ruiz & Angie Suárez & Alfonso Ugarte, 2020, "España | Modelo de precios de la vivienda. Una perspectiva regional
  [Spain | Model for housing prices. A regional perspective]," Working Papers, BBVA Bank, Economic Research Department, number 20/12, Oct.
• Mirco Rubin & Dario Ruzzi, 2020, "Equity tail risk in the treasury bond market," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1311, Dec.
• Mauricio Villamizar-Villegas & Freddy A. Pinzón-Puerto & María Alejandra Ruiz-Sánchez, 2020, "A Comprehensive History of Regression Discontinuity Designs: An Empirical Survey of the last 60 Years," Borradores de Economia, Banco de la Republica de Colombia, number 1112, Apr, DOI: https://doi.org/10.32468/be.1112.
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