Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ C: Mathematical and Quantitative Methods
/ / C3: Multiple or Simultaneous Equation Models; Multiple Variables
/ / / C38: Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

2020

• Monika Gupta & Shubhi Bansal, 2020, "Covid-19 Disruption of Middle-Class Monthly Household Income and Budget," International Journal of Economics and Financial Issues, Econjournals, volume 10, issue 6, pages 10-17.
• Ryo Iwata & Kaoru Kuramoto & Kenyuu Matsumoto & Satoshi Kumagai, 2020, "Extracting Innovative Buyers by Scoring Using Innovator Theory," International Review of Management and Marketing, Econjournals, volume 10, issue 5, pages 92-102.
• Uddin, Ajim & Yu, Dantong, 2020, "Latent factor model for asset pricing," Journal of Behavioral and Experimental Finance, Elsevier, volume 27, issue C, DOI: 10.1016/j.jbef.2020.100353.
• Coroneo, Laura & Jackson, Laura E. & Owyang, Michael T., 2020, "International Stock Comovements with Endogenous Clusters," Journal of Economic Dynamics and Control, Elsevier, volume 116, issue C, DOI: 10.1016/j.jedc.2020.103904.
• Agosto, Arianna & Ahelegbey, Daniel Felix & Giudici, Paolo, 2020, "Tree networks to assess financial contagion," Economic Modelling, Elsevier, volume 85, issue C, pages 349-366, DOI: 10.1016/j.econmod.2019.11.005.
• Kim, Hyeongwoo & Ko, Kyunghwan, 2020, "Improving forecast accuracy of financial vulnerability: PLS factor model approach," Economic Modelling, Elsevier, volume 88, issue C, pages 341-355, DOI: 10.1016/j.econmod.2019.09.046.
• Coudert, Virginie & Couharde, Cécile & Grekou, Carl & Mignon, Valérie, 2020, "Heterogeneity within the euro area: New insights into an old story," Economic Modelling, Elsevier, volume 90, issue C, pages 428-444, DOI: 10.1016/j.econmod.2019.11.028.
• Kabundi, Alain & De Simone, Francisco Nadal, 2020, "Monetary policy and systemic risk-taking in the euro area banking sector," Economic Modelling, Elsevier, volume 91, issue C, pages 736-758, DOI: 10.1016/j.econmod.2019.10.020.
• Beirne, John, 2020, "Financial cycles in asset markets and regions," Economic Modelling, Elsevier, volume 92, issue C, pages 358-374, DOI: 10.1016/j.econmod.2020.01.015.
• Álvarez de Toledo, Pablo & Núñez, Fernando & Usabiaga, Carlos, 2020, "Matching in segmented labor markets: An analytical proposal based on high-dimensional contingency tables," Economic Modelling, Elsevier, volume 93, issue C, pages 175-186, DOI: 10.1016/j.econmod.2020.07.019.
• Wang, Peiwan & Zong, Lu, 2020, "Contagion effects and risk transmission channels in the housing, stock, interest rate and currency markets: An Empirical Study in China and the U.S," The North American Journal of Economics and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.najef.2019.101113.
• Kučera, Adam, 2020, "Identification of triggers of U.S. yield curve movements," The North American Journal of Economics and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.najef.2020.101288.
• Vogt, Michael & Linton, Oliver, 2020, "Multiscale clustering of nonparametric regression curves," Journal of Econometrics, Elsevier, volume 216, issue 1, pages 305-325, DOI: 10.1016/j.jeconom.2020.01.020.
• Barigozzi, Matteo & Hallin, Marc, 2020, "Generalized dynamic factor models and volatilities: Consistency, rates, and prediction intervals," Journal of Econometrics, Elsevier, volume 216, issue 1, pages 4-34, DOI: 10.1016/j.jeconom.2020.01.003.
• Lettau, Martin & Pelger, Markus, 2020, "Estimating latent asset-pricing factors," Journal of Econometrics, Elsevier, volume 218, issue 1, pages 1-31, DOI: 10.1016/j.jeconom.2019.08.012.
• Gonçalves, Sílvia & Perron, Benoit, 2020, "Bootstrapping factor models with cross sectional dependence," Journal of Econometrics, Elsevier, volume 218, issue 2, pages 476-495, DOI: 10.1016/j.jeconom.2020.04.026.
• Bai, Jushan & Han, Xu & Shi, Yutang, 2020, "Estimation and inference of change points in high-dimensional factor models," Journal of Econometrics, Elsevier, volume 219, issue 1, pages 66-100, DOI: 10.1016/j.jeconom.2019.08.013.
• Amendola, Adalgiso & Di Serio, Mario & Fragetta, Matteo & Melina, Giovanni, 2020, "The euro-area government spending multiplier at the effective lower bound," European Economic Review, Elsevier, volume 127, issue C, DOI: 10.1016/j.euroecorev.2020.103480.
• Gribisch, Bastian & Hartkopf, Jan Patrick & Liesenfeld, Roman, 2020, "Factor state–space models for high-dimensional realized covariance matrices of asset returns," Journal of Empirical Finance, Elsevier, volume 55, issue C, pages 1-20, DOI: 10.1016/j.jempfin.2019.08.003.
• Robert Thomas, Daniel & Agrawal, Shalu & Harish, S.P. & Mahajan, Aseem & Urpelainen, Johannes, 2020, "Understanding segmentation in rural electricity markets: Evidence from India," Energy Economics, Elsevier, volume 87, issue C, DOI: 10.1016/j.eneco.2020.104697.
• Gatto, Andrea & Drago, Carlo, 2020, "A taxonomy of energy resilience," Energy Policy, Elsevier, volume 136, issue C, DOI: 10.1016/j.enpol.2019.111007.
• Jin, Xisong & Nadal De Simone, Francisco, 2020, "Monetary policy and systemic risk-taking in the Euro area investment fund industry: A structural factor-augmented vector autoregression analysis," Journal of Financial Stability, Elsevier, volume 49, issue C, DOI: 10.1016/j.jfs.2020.100749.
• Geertsema, Paul & Lu, Helen, 2020, "The correlation structure of anomaly strategies," Journal of Banking & Finance, Elsevier, volume 119, issue C, DOI: 10.1016/j.jbankfin.2020.105934.
• Eller, Markus & Huber, Florian & Schuberth, Helene, 2020, "How important are global factors for understanding the dynamics of international capital flows?," Journal of International Money and Finance, Elsevier, volume 109, issue C, DOI: 10.1016/j.jimonfin.2020.102221.
• Maehashi, Kohei & Shintani, Mototsugu, 2020, "Macroeconomic forecasting using factor models and machine learning: an application to Japan," Journal of the Japanese and International Economies, Elsevier, volume 58, issue C, DOI: 10.1016/j.jjie.2020.101104.
• Dominguez-Torres, Helena & Hierro, Luis Ángel, 2020, "Are there monetary clusters in the Eurozone? The impact of ECB policy," Journal of Policy Modeling, Elsevier, volume 42, issue 1, pages 56-76, DOI: 10.1016/j.jpolmod.2019.11.001.
• Pérez, Claudia & Claveria, Oscar, 2020, "Natural resources and human development: Evidence from mineral-dependent African countries using exploratory graphical analysis," Resources Policy, Elsevier, volume 65, issue C, DOI: 10.1016/j.resourpol.2019.101535.
• Mukherjee, Paramita & Mukherjee, Vivekananda, 2020, "Assessing the scope of gold refineries in India: Evidence from survey data," Resources Policy, Elsevier, volume 69, issue C, DOI: 10.1016/j.resourpol.2020.101810.
• León, Carlos, 2020, "Detecting anomalous payments networks: A dimensionality-reduction approach," Latin American Journal of Central Banking (previously Monetaria), Elsevier, volume 1, issue 1, DOI: 10.1016/j.latcb.2020.100001.
• Nannestad, Peter, 2020, "I (Could Have) Told You! Early warning indicators and crisis performance of the 12 “old” Euro-countries under the economic crisis 2008–09," European Journal of Political Economy, Elsevier, volume 63, issue C, DOI: 10.1016/j.ejpoleco.2020.101899.
• Attanasio, Orazio & Blundell, Richard & Conti, Gabriella & Mason, Giacomo, 2020, "Inequality in socio-emotional skills: A cross-cohort comparison," Journal of Public Economics, Elsevier, volume 191, issue C, DOI: 10.1016/j.jpubeco.2020.104171.
• Tiglao, Noriel Christopher C. & De Veyra, Janna M. & Tolentino, Niki Jon Y. & Tacderas, Mark Angelo Y., 2020, "The perception of service quality among paratransit users in Metro Manila using structural equations modelling (SEM) approach," Research in Transportation Economics, Elsevier, volume 83, issue C, DOI: 10.1016/j.retrec.2020.100955.
• Shi, Yongjing & Tiwari, Aviral Kumar & Gozgor, Giray & Lu, Zhou, 2020, "Correlations among cryptocurrencies: Evidence from multivariate factor stochastic volatility model," Research in International Business and Finance, Elsevier, volume 53, issue C, DOI: 10.1016/j.ribaf.2020.101231.
• Pontarollo, Nicola & Serpieri, Carolina, 2020, "A composite policy tool to measure territorial resilience capacity," Socio-Economic Planning Sciences, Elsevier, volume 70, issue C, DOI: 10.1016/j.seps.2018.11.006.
• Almeida, Lucas Milanez de Lima & Balanco, Paulo Antonio de Freitas, 2020, "Application of multivariate analysis as complementary instrument in studies about structural changes: An example of the multipliers in the US economy," Structural Change and Economic Dynamics, Elsevier, volume 53, issue C, pages 189-207, DOI: 10.1016/j.strueco.2020.02.006.
• Saba, Charles Shaaba & David, Oladipo Olalekan, 2020, "Convergence patterns in global ICT: Fresh insights from a club clustering algorithm," Telecommunications Policy, Elsevier, volume 44, issue 10, DOI: 10.1016/j.telpol.2020.102010.
• Angelopoulos, Jason & Sahoo, Satya & Visvikis, Ilias D., 2020, "Commodity and transportation economic market interactions revisited: New evidence from a dynamic factor model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, volume 133, issue C, DOI: 10.1016/j.tre.2019.101836.
• Falciola, Justine & Jansen, Marion & Rollo, Valentina, 2020, "Defining firm competitiveness: A multidimensional framework," World Development, Elsevier, volume 129, issue C, DOI: 10.1016/j.worlddev.2019.104857.
• Magnusson, Leandro M. & Tarverdi, Yashar, 2020, "Measuring governance: Why do errors matter?," World Development, Elsevier, volume 136, issue C, DOI: 10.1016/j.worlddev.2020.105061.
• Oscar de J. Gálvez-Soriano, 2020, "Nowcasting Mexico's quarterly GDP using factor models and bridge equations," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, volume 35, issue 2, pages 213-265.
• Joanna Kizielewicz, 2020, "Measuring the Economic and Social Contribution of Cruise Tourism Development to Coastal Tourist Destinations," European Research Studies Journal, European Research Studies Journal, volume 0, issue 3, pages 147-171.
• Joanna Kizielewicz, 2020, "Typology and Models of Cruise Travellers’ Consumption in Coastal Tourist Destinations," European Research Studies Journal, European Research Studies Journal, volume 0, issue 3, pages 679-698.
• Iwona Bak & Katarzyna Cheba & Irena Lacka, 2020, "Sustainable Development and Innovations- How They Work Together?," European Research Studies Journal, European Research Studies Journal, volume 0, issue 3, pages 93-113.
• Joanna Kizielewicz, 2020, "COVID-19 Consequences and Travel Insurance Policy in Leading Cruise Shipping Corporations," European Research Studies Journal, European Research Studies Journal, volume 0, issue 4, pages 600-611.
• Ireneusz Dabrowski & Lukasz Mach & Lukasz Mikolajczyk & Arkadiusz Kuswik, 2020, "Correlation of Economic Development of Countries with the Potential of their Housing Real Estate Markets: A Case Study in the European Union," European Research Studies Journal, European Research Studies Journal, volume 0, issue Special 1, pages 660-678.
• Waldemar Tarczynski & Malgorzata Tarczynska-Luniewska & Kinga Flaga-Gieruszynska, 2020, "The Problem of Bankruptcy in Listed Companies," European Research Studies Journal, European Research Studies Journal, volume 0, issue Special 2, pages 3-15.
• José Ignacio Ponce Sánchez & Graciela Carrillo González, 2020, "Transición de América Latina hacia la bioeconomía. Una comparación con países de la OCDE, la Unión Europea y los BRICS," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, volume 53, issue 2, pages 45-70, Julio-Dic, DOI: 10.24275/ETYPUAM/NE/532020/Ponce.
• Evzen Kocenda & Karen Poghosyan, 2020, "Nowcasting Real GDP Growth: Comparison between Old and New EU Countries," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2020/5, Feb, revised Feb 2020.
• Yifei Lyu & Jun Nie & Shu-Kuei X. Yang, 2020, "Forecasting U.S. Economic Growth in Downturns Using Cross-Country Data," Research Working Paper, Federal Reserve Bank of Kansas City, number RWP 20-09, Aug, DOI: 10.18651/RWP2020-09.
• Simon Freyaldenhoven, 2020, "Identification Through Sparsity in Factor Models," Working Papers, Federal Reserve Bank of Philadelphia, number 20-25, Jun, DOI: 10.21799/frbp.wp.2020.25.
• Marcin J. Piątkowski, 2020, "Expectations and Challenges in the Labour Market in the Context of Industrial Revolution 4.0. The Agglomeration Method-Based Analysis for Poland and Other EU Member States," Sustainability, MDPI, volume 12, issue 13, pages 1-29, July.
• Anastasia Dimiski, 2020, "Factors that affect Students’ performance in Science: An application using Gini-BMA methodology in PISA 2015 dataset," Working Papers, University of Guelph, Department of Economics and Finance, number 2004.
• Catherine Doz & Peter Fuleky, 2020, "Dynamic Factor Models," Post-Print, HAL, number halshs-02491811, Nov, DOI: 10.1007/978-3-030-31150-6_2.
• Catherine Doz & Peter Fuleky, 2020, "Dynamic Factor Models," PSE-Ecole d'économie de Paris (Postprint), HAL, number halshs-02491811, Nov, DOI: 10.1007/978-3-030-31150-6_2.
• Daniel Levy & Tamir Mayer & Alon Raviv, 2020, "Academic Scholarship in Light of the 2008 Financial Crisis: Textual Analysis of NBER Working Papers," Working Papers, HAL, number hal-02488796, Feb.
• Dzemski, Andreas & Okui, Ryo, 2020, "Convergence rate of estimators of clustered panel models with misclassication," Working Papers in Economics, University of Gothenburg, Department of Economics, number 790, Aug.
• Lindgren, Charlie & Daunfeldt, Sven-Olov & Rudholm, Niklas & Yella, Siril, 2020, "Is intertemporal price discrimination the cause of price dispersion in markets with low search costs?," HFI Working Papers, Institute of Retail Economics (Handelns Forskningsinstitut), number 8, Feb.
• Cristina LINCARU & Speranța PÎRCIOG & Draga ATANASIU & Cristina STROE & Vasilica CIUCĂ & Adriana GRIGORESCU, 2020, "Patterns Of Mainly Tourism Sectors At Local Level By Employee'S Characteristics Using Gis Multivariate Clustering Analysis - Romania Case Study," Regional Science Inquiry, Hellenic Association of Regional Scientists, volume 0, issue 1, pages 261-290, June.
• Dimitrios TSIOTAS & Thomas KRABOKOUKIS & Serafeim POLYZOS, 2020, "Detecting Interregional Patterns In Tourism Seasonality Of Greece: A Principal Components Analysis Approach," Regional Science Inquiry, Hellenic Association of Regional Scientists, volume 0, issue 2, pages 91-112, June.
• Hasanul Banna & Md Rabiul Alam, 2020, "Islamic Banking Efficiency And Inclusive Sustainable Growth: The Role Of Financial Inclusion," Journal of Islamic Monetary Economics and Finance, Bank Indonesia, volume 6, issue 1, pages 213-242, February, DOI: https://doi.org/10.21098/jimf.v6i1..
• Orazio Attanasio & Richard Blundell & Gabriella Conti & Giacomo Mason, 2020, "Inequality in socio-emotional skills: a cross-cohort comparison," IFS Working Papers, Institute for Fiscal Studies, number W20/11, Apr.
• Pierre L. Siklos, 2020, "Looking into the Rear-View Mirror: Lessons from Japan for the Eurozone and the U.S?," IMES Discussion Paper Series, Institute for Monetary and Economic Studies, Bank of Japan, number 20-E-02, Mar.
• Maximilian Gobel & Tanya Araújo, 2020, "Indicators of Economic Crises: A Data-Driven Clustering Approach," Working Papers REM, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa, number 2020/0128, May.
• Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2020, "Robots and the Origin of Their Labour-Saving Impact," IZA Discussion Papers, IZA Network @ LISER, number 12967, Feb.
• Attanasio, Orazio & Blundell, Richard & Conti, Gabriella & Mason, Giacomo, 2020, "Inequality in Socio-Emotional Skills: A Cross-Cohort Comparison," IZA Discussion Papers, IZA Network @ LISER, number 13124, Apr.
• Mitchell, Mark & Favara, Marta & Porter, Catherine & Sanchez, Alan, 2020, "Human Capital Development: New Evidence on the Production of Socio-Emotional Skills," IZA Discussion Papers, IZA Network @ LISER, number 13804, Oct.
• Chen, Liang & Dolado, Juan J. & Gonzalo, Jesús, 2020, "Quantile Factor Models," IZA Discussion Papers, IZA Network @ LISER, number 13870, Nov.
• Ozlem DENIZ BASAR & Elif GUNEREN GENC, 2020, "A Comparison Of Logistic Regression, Artificial Neural Networks And Moora Methods In Estimation Of The Safety Of Countries," JOURNAL OF LIFE ECONOMICS, Holistence Publications, volume 7, issue 2, pages .123-134, April, DOI: 10.15637/jlecon.7.008.
• Kubilay ERISLIK & Ozlem DENIZ BASAR, 2020, "Estimation Of The Sectors Of The Investments Made On Venture Capital Companies With Artificial Neural Networks And Multiple Logistic Regression Analysis," JOURNAL OF LIFE ECONOMICS, Holistence Publications, volume 7, issue 4, pages 297-308, October, DOI: 10.15637/jlecon.7.022.
• Caio Vigo Pereira, 2020, "Portfolio Efficiency with High-Dimensional Data as Conditioning Information," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202015, Sep, revised Sep 2020.
• Tobias Frese & Ingmar Geiger & Florian Dost, 2020, "An empirical investigation of determinants of effectual and causal decision logics in online and high-tech start-up firms," Small Business Economics, Springer, volume 54, issue 3, pages 641-664, March, DOI: 10.1007/s11187-019-00147-8.
• Cem Cakmakli & Hamza Demircan, 2020, "Using Survey Information for Improving the Density Nowcasting of US GDP with a Focus on Predictive Performance during Covid-19 Pandemic," Koç University-TUSIAD Economic Research Forum Working Papers, Koc University-TUSIAD Economic Research Forum, number 2016, Oct.
• Florian Eckert & Heiner Mikosch, 2020, "Mobility and Sales Activity During the Corona Crisis: Daily Indicators for Switzerland," KOF Working papers, KOF Swiss Economic Institute, ETH Zurich, number 20-485, Aug, DOI: 10.3929/ethz-b-000437812.
• Florian Eckert & Philipp Kronenberg & Heiner Mikosch & Stefan Neuwirth, 2020, "Tracking Economic Activity With Alternative High-Frequency Data," KOF Working papers, KOF Swiss Economic Institute, ETH Zurich, number 20-488, Dec, DOI: 10.3929/ethz-b-000458723.
• Chiaki Hara, 2020, "A Ranking over "More Risk Averse Than" Relations and its Application to the Smooth Ambiguity Model," KIER Working Papers, Kyoto University, Institute of Economic Research, number 1019, Jan.
• Alessandro Giovannelli & Daniele Massacci & Stefano Soccorsi, 2020, "Forecasting Stock Returns with Large Dimensional Factor Models," Working Papers, Lancaster University Management School, Economics Department, number 305661169.
• Mark Mitchell & Marta Favara & Catherine Porter & Alan Sánchez, 2020, "Human Capital Development," Working Papers, Lancaster University Management School, Economics Department, number 308280110.
• Evžen Kočenda & Karen Poghosyan, 2020, "Nowcasting Real GDP Growth: Comparison between Old and New EU Countries," Eastern European Economics, Taylor & Francis Journals, volume 58, issue 3, pages 197-220, May, DOI: 10.1080/00128775.2020.1726185.
• Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2020, "IV Estimation of Spatial Dynamic Panels with Interactive Effects: Large Sample Theory and an Application on Bank Attitude," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 11/20.
• Sium Bodha Hannadige & Jiti Gao & Mervyn J. Silvapulle & Param Silvapulle, 2020, "Forecasting a Nonstationary Time Series with a Mixture of Stationary and Nonstationary Factors as Predictors," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 19/20.
• Ruben Loaiza-Maya & Didier Nibbering, 2020, "Scalable Bayesian Estimation in the Multinomial Probit Model," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 25/20.
• Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2020, "Measurement of Factor Strength: Theory and Practice," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 7/20.
• Marie-Claude Beaulieu & Jean-Marie Dufour & Lynda Khalaf, 2020, "Arbitrage Pricing, Weak Beta, Strong Beta: Identification-Robust and Simultaneous Inference," Cahiers de recherche, Centre interuniversitaire de recherche en économie quantitative, CIREQ, number 15-2020, Apr.
• Julien Acalin & Alessandro Rebucci, 2020, "Global Business and Financial Cycles: A Tale of Two Capital Account Regimes," NBER Working Papers, National Bureau of Economic Research, Inc, number 27739, Aug.
• Veselin Mitev, 2020, "Averaged Chain Substitution Method," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 4, pages 90-100, December.
• Harsh Desai & Erik Forsberg, 2020, "Multidimensional fragility in 2020," OECD Development Co-operation Working Papers, OECD Publishing, number 79, Sep, DOI: 10.1787/b4fbdd27-en.
• Damien Azzopardi & Fozan Fareed & Patrick Lenain & Douglas Sutherland, 2020, "Why are some U.S. cities successful, while others are not? Empirical evidence from machine learning," OECD Economics Department Working Papers, OECD Publishing, number 1643, Dec, DOI: 10.1787/7f77c2e7-en.
• SAVA Diana-Cristina & FLOREA Adrian, 2020, "The Development Of The Romanian Clusters And Their Determinants," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, volume 1, issue 1, pages 99-108, July.
• Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2020, "Anatomy of the Italian occupational structure: concentrated power and distributed knowledge," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, volume 29, issue 6, pages 1345-1379.
• Elena Andreou & Patrick Gagliardini & Eric Ghysels & Mirco Rubin, 2020, "Mixed-Frequency Macro–Finance Factor Models: Theory and Applications," Journal of Financial Econometrics, Oxford University Press, volume 18, issue 3, pages 585-628.
• Raluca Zoltan & Romulus Vancea, 2020, "Individual Motivation in Work Team Context – An Empirical Research on Romanian Consulting SMEs," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, volume 0, issue 1, pages 819-827, August.
• Mihaela Mihai & Claudia-Andreea Toma & Daniela-Ioana Manea, 2020, "Analysis of the Impact of Telemedicine on the Health System in a European Context," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, volume 0, issue 2, pages 160-168, December.
• Ionela-Andreea Puiu, 2020, "Consumers Perceived Prospects and Benefits Regarding the Nanotechnology Practices in the Fashion Industry," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, volume 0, issue 2, pages 459-463, December.
• Cristiana Ioana Șerbănel, 2020, "COVID-19 Impact on the Agriculture Sector and the Power of Clusters. Romania Case Study," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, volume 0, issue 2, pages 543-550, December.
• Rahmer, Bruno de Jesús & Garzón Saénz, Hernando & Solana Garzón, José, 2020, "Análisis comparativo de indicadores de capacidad multivariante. El caso del clúster manufacturero cartagenero || Comparative analysis of multivariate capacity indicators. The case of the Cartagena manufacturing cluster," 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 29, issue 1, pages 172-189, June.
• Carreras Simó, Miquel & Coenders, Germà, 2020, "Principal component analysis of financial statements. A compositional approach || Análisis en componentes principales de los estados financieros. Un enfoque composicional," 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 29, issue 1, pages 18-37, June.
• Rahmer, Bruno de Jesús & Solana Garzón, José & Garzón Saénz, Hernando & Ortiz Piedrahita, Gustavo, 2020, "Diseño de una carta de control basada en Análisis de Componentes Principales. Un caso de estudio || Design of a control charter based on principal component analysis. A case study," 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 30, issue 1, pages 279-296, December, DOI: 10.46661/revmetodoscuanteconempresa.
• Andrés Berenguer & Luis Gandarias & Álvaro Arévalo, 2020, "Singular spectrum analysis for modelling the hard-to-model risk factors," Risk Management, Palgrave Macmillan, volume 22, issue 3, pages 178-191, September, DOI: 10.1057/s41283-020-00060-5.
• Czeczeli, Vivien & Kolozsi, Pál Péter & Kutasi, Gábor & Marton, Ádám, 2020, "Economic Exposure and Crisis Resilience in Exogenous Shock — The Short-Term Economic Impact of the Covid-19 Pandemic in the EU," Public Finance Quarterly, Corvinus University of Budapest, volume 65, issue 3, pages 321-347, DOI: https://doi.org/10.35551/PFQ_2020_3.
• Bukvić, Rajko, 2020, "Концентрация И Конкуренция В Современном Банковском Секторе Сербии: Анализ Индексов Концентрации
  [Concentration and Competition in Modern Serbian Banking Sector: Concentration Indices Analysis]," MPRA Paper, University Library of Munich, Germany, number 100581, revised 2020.
• Bukvić, Rajko, 2020, "Концентрация И Конкуренция В Современном Банковском Секторе Сербии: Анализ Индексов Концентрации
  [Concentration and Competition in Modern Serbian Banking Sector: Concentration Indices Analysis]," MPRA Paper, University Library of Munich, Germany, number 100591, revised 2020.
• Piątkowski, Marcin J., 2020, "Expectations and Challenges in the Labour Market in the Context of Industrial Revolution 4.0. The Agglomeration Method-Based Analysis for Poland and Other EU Member States," MPRA Paper, University Library of Munich, Germany, number 101889, Jul.
• Bhandari, Avishek, 2020, "Long Memory and Correlation Structures of Select Stock Returns Using Novel Wavelet and Fractal Connectivity Networks," MPRA Paper, University Library of Munich, Germany, number 101946, Jun.
• Bukvić, Rajko, 2020, "Concentration and Competition in Serbian Banking Sector in the Period 2016–2018," MPRA Paper, University Library of Munich, Germany, number 102395.
• Cui, Guowei & Sarafidis, Vasilis & Yamagata, Takashi, 2020, "IV Estimation of Spatial Dynamic Panels with Interactive Effects: Large Sample Theory and an Application on Bank Attitude Toward Risk," MPRA Paper, University Library of Munich, Germany, number 102488, Aug.
• Mendez, Carlos & Gonzales, Erick, 2020, "Human Capital Constraints, Spatial Dependence, and Regionalization in Bolivia: A Spatial Clustering Approach," MPRA Paper, University Library of Munich, Germany, number 104303, Nov.
• Bukvić, Rajko, 2020, "Показатељи Тржишне Концентрације И Њихова Дискриминаторна Моћ: Пример Банковног Сектора Србије
  [Indicators of Market Concentration and Its Discriminatory Power: Example of the Banking Sector of Serbia]," MPRA Paper, University Library of Munich, Germany, number 105218, revised 2020.
• Zaharia, Marian & Gogonea, Rodica- Manuela & Balacescu, Aniela, 2020, "Territorial dimension of wheat production in Romania," MPRA Paper, University Library of Munich, Germany, number 106301, Nov.
• Bukvić, Rajko, 2020, "Measuring of Concentration and Competition: Serbian Banking Sector," MPRA Paper, University Library of Munich, Germany, number 107465, revised 2020.
• FORTES, Roberta & Le Guenedal, Theo, 2020, "Tracking ECB's communication: Perspectives and Implications for Financial Markets," MPRA Paper, University Library of Munich, Germany, number 108746, Dec.
• Fernandez, Julian, 2020, "Exchange Rate Uncertainty and the Interest Rate Parity," MPRA Paper, University Library of Munich, Germany, number 116010, revised 2022.
• Pavlína Kozáková, 2020, "Ověření důvěry a spokojenosti zákazníků na českých slevových portálech metodou modelování strukturních rovnic
  [Verification of Trust and Customer Satisfaction with Czech Online Group Buying Applying Structural Equation Modelling]," Politická ekonomie, Prague University of Economics and Business, volume 2020, issue 4, pages 381-404, DOI: 10.18267/j.polek.1287.
• António Rua & Francisco Dias, 2020, "A non-hierarchical dynamic factor model for three-way data," Working Papers, Banco de Portugal, Economics and Research Department, number w202007.
• António Rua & Nuno Lourenço, 2020, "The DEI: tracking economic activity daily during the lockdown," Working Papers, Banco de Portugal, Economics and Research Department, number w202013.
• Cristina Brasili & Pinuccia Calia & Irene Monasterolo, 2020, "Profiling identification with Europe and the EU project in the European regions," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 46, pages 71-91.
• Sajjad Barkhordari & Mohsen Forughi Far, 2020, "The Dynamic Regional Effects of Monetary Policy on Employment in Iran (TVP-FAVAR Approach)," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, volume 6, issue 4, pages 109-136.
• Fernanda Cigainski Lisbinski & Ronaldo Torres & Angel Maitê Bobato & Évilly Carine Dias Bezerra & Clailton Ataídes de Freitas, 2020, "Análise Espacial do Desenvolvimento Rural da Mesorregião Noroeste do Rio Grande do Sul," Revista Brasileira de Estudos Regionais e Urbanos, Associação Brasileira de Estudos Regionais e Urbanos (ABER), volume 14, issue 1, pages 79-101.
• Wenxin Huang & Sainan Jin & Peter C.B. Phillips & Liangjun Su, 2020, "Nonstationary Panel Models with Latent Group Structures and Cross-Section Dependence," Economics and Statistics Working Papers, Singapore Management University, School of Economics, number 7-2020, Mar.
• Liangjun Su & Xia Wang, 2020, "Corrigendum to “On Time-varying Factor Models: Estimation and Testing” [J. Econometrics 198 (2017) 84-101]," Economics and Statistics Working Papers, Singapore Management University, School of Economics, number 8-2020, Feb.
• Hongbing OUYANG & Xiaolu WEI & Qiufeng WU, 2020, "Stock Index Pattern Discovery via Toeplitz Inverse Covariance-based Clustering," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 2, pages 58-72, July.
• Andreea-Ionela PUIU, 2020, "Clustering Consumers Through their Consumption Behavior: Analysis on the Fashion Industry," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, volume 5, issue 1, pages 23-32, June.
• Alexandru AGAPIE & Luiza BĂDIN & Silvia DEDU & Marius GIUCLEA & Ileana MIRCIOI (VĂLIMĂRANU) & Ovidiu SOLOMON, 2020, "Analyzing Factors Accountable for Success in Completing University Studies," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, volume 21, issue 3, pages 423-431, July.
• Gulshan Kumar & Jagmohan Singh, 2020, "Health Infrastructure Disparities in Punjab: An Inter-district Analysis," Journal of Infrastructure Development, India Development Foundation, volume 12, issue 1, pages 25-38, June, DOI: 10.1177/0974930620902311.
• Angelo Leogrande & Alessandro Massaro & Maurizio Galiano, 2020, "The Location of Superstores in Italy: A Metric Approach," International Journal of Business and Management, International Institute of Social and Economic Sciences, volume 8, issue 1, pages 35-64, May.
• Pavlína Hejduková & Michaela Krechovská & Lucie Kureková, 2020, "The Measurement of Industry 4.0: An Empirical Cluster Analysis for EU Countries," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, volume 9, issue 1, pages 121-134, June.
• Agnieszka Stanimir, 2020, "Generation Y on labour market ? perception of work values and quality of job," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, volume 9, issue 1, pages 202-223, June.
• Fabian Fink & Lukas Frei & Oliver Gloede, 2020, "Short-term determinants of bilateral exchange rates: A decomposition model for the Swiss franc," Working Papers, Swiss National Bank, number 2020-21.
• Hayriye ATİK & Fatma ÜNLÜ, 2020, "Industry 4.0-Related Digital Divide in Enterprises: An Analysis for The European Union-28 Abstract: Digital divide has been measured using various indicators in the literature so far. In contrast from the literature, this paper addresses the digital ," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(45).
• Fernando Fernandes & Rodrigo De Losso, Rogerio Oliveira, Angelo J D Soto, Pedro D Cavalcanti, Gabriel M S Campos, 2020, "Saving Markowitz: A Risk Parity approach based on the Cauchy Interlacing Theorem," Working Papers, Department of Economics, University of São Paulo (FEA-USP), number 2020_13, Aug.
• Niklas Kühl & Marius Mühlthaler & Marc Goutier, 2020, "Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media," Electronic Markets, Springer;IIM University of St. Gallen, volume 30, issue 2, pages 351-367, June, DOI: 10.1007/s12525-019-00351-0.
• Robert W. Ciborowski & Iwona Skrodzka, 2020, "International technology transfer and innovative changes adjustment in EU," Empirical Economics, Springer, volume 59, issue 3, pages 1351-1371, September, DOI: 10.1007/s00181-019-01683-8.
• Mahdi Massahi & Masoud Mahootchi & Alireza Arshadi Khamseh, 2020, "Development of an efficient cluster-based portfolio optimization model under realistic market conditions," Empirical Economics, Springer, volume 59, issue 5, pages 2423-2442, November, DOI: 10.1007/s00181-019-01802-5.
• Sayel Basel & K. U. Gopakumar & R. Prabhakara Rao, 2020, "Broad-based index for measurement of development," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, volume 22, issue 1, pages 182-206, June, DOI: 10.1007/s40847-020-00093-2.
• Razvan Hapau, 2020, "Evaluating the Overall Performance of Romanian Listed Companies," Springer Proceedings in Business and Economics, Springer, chapter 0, in: Silvia L. Fotea & Ioan Ş. Fotea & Sebastian A. Văduva, "Challenges and Opportunities to Develop Organizations Through Creativity, Technology and Ethics", DOI: 10.1007/978-3-030-43449-6_13.
• Diana Purwitasari & Chastine Fatichah & Surya Sumpeno & Christian Steglich & Mauridhi Hery Purnomo, 2020, "Identifying collaboration dynamics of bipartite author-topic networks with the influences of interest changes," Scientometrics, Springer;Akadémiai Kiadó, volume 122, issue 3, pages 1407-1443, March, DOI: 10.1007/s11192-019-03342-2.
• Klaus Wohlrabe & Sabine Gralka, 2020, "Using archetypoid analysis to classify institutions and faculties of economics," Scientometrics, Springer;Akadémiai Kiadó, volume 123, issue 1, pages 159-179, April, DOI: 10.1007/s11192-020-03366-z.
• Mark Bukowski & Sandra Geisler & Thomas Schmitz-Rode & Robert Farkas, 2020, "Feasibility of activity-based expert profiling using text mining of scientific publications and patents," Scientometrics, Springer;Akadémiai Kiadó, volume 123, issue 2, pages 579-620, May, DOI: 10.1007/s11192-020-03414-8.
• Florian Eckert & Heiner Mikosch, 2020, "Mobility and sales activity during the Corona crisis: daily indicators for Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, volume 156, issue 1, pages 1-10, December, DOI: 10.1186/s41937-020-00055-9.
• Marta Kuc-Czarnecka & Samuele Lo Piano & Andrea Saltelli, 2020, "Quantitative Storytelling in the Making of a Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, volume 149, issue 3, pages 775-802, June, DOI: 10.1007/s11205-020-02276-0.
• Can Azkan & Henry Goecke & Markus Spiekermann, 2020, "Forschungsbereiche der Datenökonomie
  [Research Areas of Data Economics]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, volume 100, issue 2, pages 124-127, February, DOI: 10.1007/s10273-020-2582-x.
• Fabio Montobbio & Jacopo Staccioli & Maria Enrica Virgillito & Marco Vivarelli, 2020, "Robots and the origin of their labour-saving impact," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2020/03, Feb.
• Jacopo Staccioli & Maria Enrica Virgillito, 2020, "Back to the past: the historical roots of labour-saving automation," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2020/34, Nov.
• Jacopo Staccioli & Maria Enrica Virgillito, 2020, "The present, past, and future of labor-saving technologies," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2020/37, Dec.
• Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2020, "Working from home and the explosion of enduring divides: income, employment and safety risks," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2020/38, Dec.
• Talita Greyling & Fiona Tregenna, 2020, "Quality of life: Validation of an instrument and analysis of relationships between domains," Development Southern Africa, Taylor & Francis Journals, volume 37, issue 1, pages 19-39, January, DOI: 10.1080/0376835X.2019.1684243.
• Marek A. Dąbrowski & Monika Papież & Sławomir Śmiech, 2020, "Classifying de facto exchange rate regimes of financially open and closed economies: A statistical approach," The Journal of International Trade & Economic Development, Taylor & Francis Journals, volume 29, issue 7, pages 821-849, October, DOI: 10.1080/09638199.2020.1748692.
• Tomohiro Ando & Jushan Bai, 2020, "Quantile Co-Movement in Financial Markets: A Panel Quantile Model With Unobserved Heterogeneity," Journal of the American Statistical Association, Taylor & Francis Journals, volume 115, issue 529, pages 266-279, January, DOI: 10.1080/01621459.2018.1543598.
• Mehmet Selman Colak & Abdullah Kazdal & Muhammed Hasan Yilmaz, 2020, "Synchronization, Concordance and Similarity between Business and Credit Cycles: Evidence from Turkish Banking Sector," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 2011.
• Bahar Sungurtekin Hallam, 2020, "An Analysis of International Shock Transmission: A Multi-level Factor Augmented TVP GVAR Approach," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 2012.
• Francisco Blasques & Meindert Heres Hoogerkamp & Siem Jan Koopman & Ilka van de Werve, 2020, "Dynamic Factor Models with Clustered Loadings: Forecasting Education Flows using Unemployment Data," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 20-078/III, Nov, revised 21 Jan 2021.
• Kohei Maehashi & Mototsugu Shintani, 2020, "Macroeconomic Forecasting Using Factor Models and Machine Learning: An Application to Japan," CIRJE F-Series, CIRJE, Faculty of Economics, University of Tokyo, number CIRJE-F-1146, Mar.
• Federica D'Isanto & Salvatore Di Martino, 2020, "Homo oeconomicus at the café: A Field Experiment on "Suspended Coffee"," Euricse Working Papers, Euricse (European Research Institute on Cooperative and Social Enterprises), number 20111.
• Kasim Tatic & Zijad Dzafic & Mahir Haracic & Merima Haracic, 2020, "The Analysis Of The Key Drivers And Barriers Of Cloud Migration In Companies In Bosnia And Herzegovina," Economic Review: Journal of Economics and Business, University of Tuzla, Faculty of Economics, volume 18, issue 1, pages 21-36, May.
• Tae-Hwy Lee & Ekaterina Seregina, 2020, "Learning from Forecast Errors: A New Approach to Forecast Combination," Working Papers, University of California at Riverside, Department of Economics, number 202024, Sep.
• Michela Borghesi, 2020, "Metodi statistici per il confronto di serie storiche con applicazioni finanziarie," Working Papers, University of Ferrara, Department of Economics, number 2020049, Jul.
• Magali Jaoul-Grammare & Anne Stenger, 2020, "Do we need to be educated to have Green concerns?," Working Papers of BETA, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg, number 2020-13.
• Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2020, "Robots and the origin of their labour-saving impact," MERIT Working Papers, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT), number 2020-007, Feb.
• K. S. Sablin & E. S. Kagan & E. S. Chernova, 2020, "Clustering of the Russian coal mining regions: Investment and innovation activity," Journal of New Economy, Ural State University of Economics, volume 21, issue 1, pages 89-106, March, DOI: 10.29141/2658-5081-2020-21-1-5.
• Polya Angelova & Tihomir Varbanov, 2020, "Convergence Evaluation In The Context Of Epsr Through Cluster Analysis," Economic Science, education and the real economy: Development and interactions in the digital age, Publishing house Science and Economics Varna, issue 1, pages 58-69.
• Jošić Hrvoje, 2020, "The socio-economic catalysers of COVID-19 pandemic," Croatian Review of Economic, Business and Social Statistics, Paradigm, volume 6, issue 2, pages 12-26, December, DOI: 10.2478/crebss-2020-0008.
• Jerić Silvija Vlah, 2020, "Comparing classification algorithms for prediction on CROBEX data," Croatian Review of Economic, Business and Social Statistics, Paradigm, volume 6, issue 2, pages 4-11, December, DOI: 10.2478/crebss-2020-0007.
• Zaród Jadwiga, 2020, "Classification of Polish Cities Based on Environmental and Communication Conditions," Econometrics. Advances in Applied Data Analysis, Paradigm, volume 24, issue 1, pages 12-22, March, DOI: 10.15611/eada.2020.1.02.
• Kubus Mariusz, 2020, "Evaluation of Resampling Methods in the Class Unbalance Problem," Econometrics. Advances in Applied Data Analysis, Paradigm, volume 24, issue 1, pages 39-50, March, DOI: 10.15611/eada.2020.1.04.
• Brzezińska Justyna, 2020, "The Analysis of the Structure of University Positions in Poland Using Classification Methods," Econometrics. Advances in Applied Data Analysis, Paradigm, volume 24, issue 1, pages 71-81, March, DOI: 10.15611/eada.2020.1.06.
• Trzpiot Grażyna, 2020, "Seniors in Cities and Senior-Friendly Cities Analysis for Selected Polish Cities – Robust Taxonomic Approach," Econometrics. Advances in Applied Data Analysis, Paradigm, volume 24, issue 2, pages 30-40, June, DOI: 10.15611/eada.2020.2.03.
• Kubiczek Jakub & Hadasik Bartłomiej, 2020, "Segmentation of the Electric Scooter Market in Poland," Econometrics. Advances in Applied Data Analysis, Paradigm, volume 24, issue 4, pages 50-65, December, DOI: 10.15611/eada.2020.4.04.
• Jurevičienė Daiva & Biekšaitė Augustė, 2020, "Valuation of Lithuanian Cities’ Smartness," Economics and Culture, Paradigm, volume 17, issue 1, pages 104-115, June, DOI: 10.2478/jec-2020-0010.
• Popović Goran & Erić Ognjen & Bjelić Jelena, 2020, "Factor Analysis of Prices and Agricultural Production in the European Union," Economics, Sciendo, volume 8, issue 1, pages 73-81, June, DOI: 10.2478/eoik-2020-0001.
• Milutinović Sunčica & Grljević Olivera & Dimitrijević Dragomir, 2020, "Assessment of the Accounting Regulations in the Republic of Serbia: Application of Cluster Analysis," Economic Themes, Sciendo, volume 58, issue 4, pages 545-571, December, DOI: 10.2478/ethemes-2020-0031.
• Kubus Mariusz, 2020, "The Influence of Unbalanced Economic Data on Feature Selection and Quality of Classifiers," Folia Oeconomica Stetinensia, Paradigm, volume 20, issue 1, pages 232-247, June, DOI: 10.2478/foli-2020-0014.
• Rozmus Dorota, 2020, "Clustering Poland Among Eu Countries in Terms of a Sustainable Development Level in the Light of Various Cluster Stability Measures," Folia Oeconomica Stetinensia, Paradigm, volume 20, issue 1, pages 319-340, June, DOI: 10.2478/foli-2020-0019.
• Bąk Iwona & Wawrzyniak Katarzyna, 2020, "The Use of Multidimensional Statistical Analysis Methods in the Burnout Study of Teachers and Lecturers at Universities," Folia Oeconomica Stetinensia, Paradigm, volume 20, issue 1, pages 45-61, June, DOI: 10.2478/foli-2020-0003.
• Zaborski Artur, 2020, "The Use of the Incomplete Tetrad Method for Measuring the Similarities in Nonmetric Multidimensional Scaling," Folia Oeconomica Stetinensia, Paradigm, volume 20, issue 1, pages 519-530, June, DOI: 10.2478/foli-2020-0030.
• Bąk Iwona & Wawrzyniak Katarzyna & Sobolewski Antoni, 2020, "Classification of District Employment Agencies in Terms of Employment and Cost-Effectiveness Using Regression Trees," Folia Oeconomica Stetinensia, Paradigm, volume 20, issue 2, pages 20-35, December, DOI: 10.2478/foli-2020-0033.
• Misztal Małgorzata, 2020, "Application of the Partial Triadic Analysis Method to Analyze the Crime Rate in Poland in the Years 2000–2017," Folia Oeconomica Stetinensia, Paradigm, volume 20, issue 2, pages 249-278, December, DOI: 10.2478/foli-2020-0047.
• Chartouni Carole & Holzmann Robert & Paez Gustavo N., 2020, "Not everyone is engaged: an innovative approach to measure engagement levels on the labor market," IZA Journal of Labor Policy, Paradigm & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), volume 10, issue 1, pages 1-25, March, DOI: 10.2478/izajolp-2020-0010.
• Apostu Simona-Andreea & Vasile Valentina, 2020, "The Characteristics of Migrant Physicians from Romania," Journal of Social and Economic Statistics, Paradigm, volume 9, issue 1, pages 84-104, August, DOI: 10.2478/jses-2020-0007.
• Puiu Andreea-Ionela, 2020, "Motivations of Young Consumers to Participate to Collaborative Consumption," Journal of Social and Economic Statistics, Paradigm, volume 9, issue 2, pages 43-55, December, DOI: 10.2478/jses-2020-0012.
• Balogh Zita & Mészáros Katalin, 2020, "Consumer Perceived Risk by Online Purchasing: The Experiences in Hungary," Naše gospodarstvo/Our economy, Sciendo, volume 66, issue 3, pages 14-21, September, DOI: 10.2478/ngoe-2020-0014.
• Gnat Sebastian, 2020, "Testing the Effectiveness of Outlier Detecting Methods in Property Classification," Real Estate Management and Valuation, Sciendo, volume 28, issue 4, pages 81-92, December, DOI: 10.1515/remav-2020-0033.
• Ardielli Eva, 2020, "Evaluation of eHealth Deployment at Primary Care in the EU Member States by Usage of Selected MCDM Methods," Review of Economic Perspectives, Paradigm, volume 20, issue 3, pages 337-359, September, DOI: 10.2478/revecp-2020-0016.
• 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.
• 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.
• Stefan Jestl & Ambre Maucorps & Roman Römisch, 2020, "The Effects of the EU Cohesion Policy on Regional Economic Growth: Using Structural Equation Modelling for Impact Assessment," wiiw Working Papers, The Vienna Institute for International Economic Studies, wiiw, number 185, Aug.
• Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2020, "Multidimensional skills and the returns to schooling: Evidence from an interactive fixed‐effects approach and a linked survey‐administrative data set," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 35, issue 5, pages 548-566, August, DOI: 10.1002/jae.2759.
• Sriubaite, I. & Harris, A. & Jones, A.M. & Gabbe, B., 2020, "Economic Consequences of Road Traffic Injuries. Application of the Super Learner algorithm," Health, Econometrics and Data Group (HEDG) Working Papers, HEDG, c/o Department of Economics, University of York, number 20/20, Nov.
• Hinterlang, Natascha & Hollmayr, Josef, 2020, "Classification of monetary and fiscal dominance regimes using machine learning techniques," Discussion Papers, Deutsche Bundesbank, number 51/2020.
• Henning, Christian H. C. A. & Petri, Svetlana & Diaz, Daniel, 2020, "Changes in voter behavior after an information signal: An experimental approach for Senegal," Working Papers of Agricultural Policy, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy, number WP2020-11.
• Henning, Christian H. C. A. & Diaz, Daniel & Petri, Svetlana, 2020, "Voting vs. non-voting in Senegal: A nested multinomial logit model approach," Working Papers of Agricultural Policy, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy, number WP2020-12.
• Henning, Christian H. C. A. & Diaz, Daniel & Lendewig, Andrea & Petri, Svetlana, 2020, "How important are abstainers in presidential elections? A comparative analysis between Africa and Latin America," Working Papers of Agricultural Policy, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy, number WP2020-13.
• Herwartz, Helmut & Ochsner, Christian & Rohloff, Hannes, 2020, "The credit composition of global liquidity," University of Göttingen Working Papers in Economics, University of Goettingen, Department of Economics, number 409.