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

• 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, Sciendo, 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, Sciendo, 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, Sciendo, 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, Sciendo, 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, Sciendo, 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, Sciendo, 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, Sciendo, 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, Sciendo, 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, Sciendo, 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, Sciendo, 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, Sciendo, 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, Sciendo, 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, Sciendo, 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, Sciendo, 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, Sciendo & 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, Sciendo, 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, Sciendo, 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, Sciendo, 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.
• 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".
• Čančer, Vesna & Rožman, Maja, 2020, "The Model of Friendly Work Environment for Older Employees in Slovenia," 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".
• Simović, Olivera & Rađenović, Žarko & Perović, Djurdjica & Vujačić, Vesna, 2020, "Tourism in the Digital Age: E-booking Perspective," 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".
• Levy, Daniel & Mayer, Tamir & Raviv, Alon, 2020, "Academic Scholarship in Light of the 2008 Financial Crisis: Textual Analysis of NBER Working Papers," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 214194.
• Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2020, "Robots and the origin of their labour-saving impact," GLO Discussion Paper Series, Global Labor Organization (GLO), number 471.
• Staccioli, Jacopo & Virgillito, Maria Enrica, 2020, "Back to the past: the historical roots of labour-saving automation," GLO Discussion Paper Series, Global Labor Organization (GLO), number 721.
• Borraz, Fernando & Livan, Giacomo & Rodríguez-Martínez, Anahí & Picardo, Pablo, 2020, "Price, sales, and the business cycle: a time series principal component analysis," GLO Discussion Paper Series, Global Labor Organization (GLO), number 735.
• Chao, Shih-Kang & Härdle, Wolfgang Karl & Yuan, Ming, 2020, "Factorisable Multitask Quantile Regression," IRTG 1792 Discussion Papers, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", number 2020-004.
• Chen, Shi & Härdle, Wolfgang Karl & Wang, Weining, 2020, "The common and speci fic components of inflation expectation across European countries," IRTG 1792 Discussion Papers, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", number 2020-023.
• Katelouzou, Dionysia & Siems, Mathias, 2020, "The Global Diffusion of Stewardship Codes," LawFin Working Paper Series, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin), number 10, DOI: 10.2139/ssrn.3616798.
• Wohlrabe, Klaus & Gralka, Sabine Marlene, 2020, "Classifying top economists using archetypoid analysis," CEPIE Working Papers, Technische Universität Dresden, Center of Public and International Economics (CEPIE), number 01/20.
• Berislav Zmuk & Ksenija Dumicic & Anita Harmina, 2020, "Features of business demography statistics in European countries: Relation of enterprises deaths and births to GDP per capita and unemployment," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, volume 18, issue 2A, pages 116-134.
• Mira Krpan & Ana Pavkovic & Berislav Zmuk, 2020, "Cluster analysis of new EU member states' pension systems," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, volume 18, issue 2B, pages 208-222.
• Jovana Zoroja & Igor Klopotan & Ana-Marija Stjepic, 2020, "Quality of e-commerce practices in European enterprises: cluster analysis approach," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, volume 18, issue 2B, pages 312-327.

2019

• Goodness C. Aye & Rangan Gupta, 2019, "Macroeconomic Uncertainty And The Comovement In Buying Versus Renting In The Usa," Advances in Decision Sciences, Asia University, Taiwan, volume 23, issue 3, pages 93-121, September.
• Andrea Gatto & Francesco Busato, 2019, "Defining, measuring and ranking energy vulnerability," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2019-01, Jan.
• Hyeongwoo Kim & Kyunghwan Ko, 2019, "Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach," Auburn Economics Working Paper Series, Department of Economics, Auburn University, number auwp2019-03, Apr.
• Sarthak Behera & Hyeongwoo Kim, 2019, "Forecasting Dollar Real Exchange Rates and the Role of Real Activity Factors," Auburn Economics Working Paper Series, Department of Economics, Auburn University, number auwp2019-04, Oct.
• John M. Abowd & Ian M. Schmutte, 2019, "An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices," American Economic Review, American Economic Association, volume 109, issue 1, pages 171-202, January.
• Joshua D. Angrist & Victor Lavy & Jetson Leder-Luis & Adi Shany, 2019, "Maimonides' Rule Redux," American Economic Review: Insights, American Economic Association, volume 1, issue 3, pages 309-324, December.
• David Lagziel & Ehud Lehrer, 2019, "A Bias of Screening," American Economic Review: Insights, American Economic Association, volume 1, issue 3, pages 343-356, December.
• Matthew Gentzkow & Bryan Kelly & Matt Taddy, 2019, "Text as Data," Journal of Economic Literature, American Economic Association, volume 57, issue 3, pages 535-574, September.
• Diane Coyle, 2019, "Measuring Progress: A Review Essay on The Pricing of Progress: Economic Indicators and the Capitalization of American Life by Eli Cook," Journal of Economic Literature, American Economic Association, volume 57, issue 3, pages 659-677, September.
• Milan Lazarević, 2019, "Principal Component Analysis in Negative Interest Rate Environment," Acta Oeconomica, Akadémiai Kiadó, Hungary, volume 69, issue 1, pages 101-125, March.
• Riccardo (Jack) Lucchetti & Ioannis A. Venetis, 2019, "Dynamic Factor Models in gretl. The DFM package," gretl working papers, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali, number 7, Jan.
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• Ruoxuan Xiong & Markus Pelger, 2019, "Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference," Papers, arXiv.org, number 1910.08273, Oct, revised Jan 2022.
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• Emilia VASILE & Danut-Octavian SIMION, 2019, "The Management Information Systems Reengineering Through Economic Applications," Internal Auditing and Risk Management, Athenaeum University of Bucharest, volume 53, issue 1, pages 9-22, March.
• Catalin DUMITRESCU, 2019, "Methods Used To Analyse Economic Variations Of Chronological Series," Internal Auditing and Risk Management, Athenaeum University of Bucharest, volume 54, issue 2, pages 48-54, June.
• Emilia VASILE & Danut-Octavian SIMION, 2019, "The Role Of Information Systems In Economic Organizations For The Strategic Management," Internal Auditing and Risk Management, Athenaeum University of Bucharest, volume 54, issue 2, pages 9-24, June.
• Emilia VASILE & Danut-Octavian SIMION, 2019, "Applications For Economic Organizations Built On Enterprise Javabeans Technologies," Internal Auditing and Risk Management, Athenaeum University of Bucharest, volume 55, issue 3, pages 9-23, September.
• Emilia VASILE & Danut-Octavian SIMION, 2019, "Implementations Of Classes And Objects In Applications For Economic Organizations," Internal Auditing and Risk Management, Athenaeum University of Bucharest, volume 56, issue 4, pages 9-20, December.
• Catalin DUMITRESCU, 2019, "Contributions To Modeling The Behavior Of Chaotic Systems With Applicability In Economic Systems," Internal Auditing and Risk Management, Athenaeum University of Bucharest, volume 56, issue 4, pages 98-107, December.
• Adis Puska & Admir Beganovic & Allen Popovic Beganovic, 2019, "Consumers' Loyalty Toward Dark Chocolate," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, volume 28, issue 1, pages 245-266, june.
• Pawel Dziekanski & Adrian Lipa, 2019, "The Financial Situation Of Rural Communes And The Level Of Their Income In The Swietokrzyskie Voivodship," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", volume 5, issue 4, DOI: 10.30525/2256-0742/2019-5-4-7-16.
• Vladimir Nusinov & Ievgeniia Mishchuk & Yaroslav Izmaylov, 2019, "Development Of The Stereometric Method To The Analysis Of Economic Categories And Processes And Its Application In Security And Taxation," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", volume 5, issue 4, DOI: 10.30525/2256-0742/2019-5-4-160-170.
• Andrzej Pawlik & Urszula Karpinska, 2019, "The Financial Situation As A Stimulant Of The Competitive Position Of Rural Communes In The Swietokrzyskie Voivodeship," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", volume 5, issue 5, DOI: 10.30525/2256-0742/2019-5-5-1-8.
• Lesya Petkova & Ðœichael Ryabokon & Yuriy Vdovychenko, 2019, "Modern Systems For Assessing The Informatization Of Countries In The Context Of Global Sustainable Development," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", volume 5, issue 2, DOI: 10.30525/2256-0742/2019-5-2-158-170.
• Pawel‚ Dziekanski & Andrzej Pawlik, 2019, "Intraregional Diversification Of The Level Of The Financial Situation Of The Poviats Of Eastern Poland In Relation To The Development Potential," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", volume 5, issue 3, DOI: 10.30525/2256-0742/2019-5-3-1-8.
• Olena Tymchenko & Yuliia Sybirianska & Alla Abramova, 2019, "The Approach to Tax Debtors Segmentation," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 103-119.
• Nedelin Markov, 2019, "Spatial analysis of trade activity using geographic information systems," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 103-111.
• Camilo Alberto Cárdenas-Hurtado & María Alejandra Hernández-Montes, 2019, "Understanding the Consumer Confidence Index in Colombia: A structural FAVAR analysis," Borradores de Economia, Banco de la Republica de Colombia, number 1063, Feb, DOI: 10.32468/be.1063.pdf?sequence=11&is.
• Carlos León, 2019, "Detecting anomalous payments networks: A dimensionality reduction approach," Borradores de Economia, Banco de la Republica de Colombia, number 1098, Dec, DOI: https://doi.org/10.32468/be.1098.
• Jeannine Bailliu & Xinfen Han & Mark Kruger & Yu-Hsien Liu & Sri Thanabalasingam, 2019, "Can media and text analytics provide insights into labour market conditions in China?," IFC Bulletins chapters, Bank for International Settlements, in: Bank for International Settlements, "Are post-crisis statistical initiatives completed?".
• Maričić Milica & Bulajić Milica & Radojičić Zoran & Jeremić Veljko, 2019, "Shedding Light on the Doing Business Index: a Machine Learning Approach," Business Systems Research, Sciendo, volume 10, issue 2, pages 73-84, September, DOI: 10.2478/bsrj-2019-019.
• Aleksei Kiselev & Aleksandra Zhivaykina, 2019, "The role of global relative price changes in international comovement of inflation," Bank of Russia Working Paper Series, Bank of Russia, number wps53, Dec.
• Georgios Bampinas & Theodore Panagiotidis & Christina Rouska, 2019, "Volatility persistence and asymmetry under the microscope: the role of information demand for gold and oil," Scottish Journal of Political Economy, Scottish Economic Society, volume 66, issue 1, pages 180-197, February, DOI: 10.1111/sjpe.12177.
• Hans-Martin von Gaudecker & Axel Wogrolly, 2019, "The Dynamics of Households' Stock Market Beliefs," CRC TR 224 Discussion Paper Series, University of Bonn and University of Mannheim, Germany, number crctr224_2019_079, Apr.
• Rémi Yin & Fabrice Etilé, 2019, "Mesurer les orientations de l’identité pour comprendre les préférences : une validation française du questionnaire sur les aspects de l’identité," Revue économique, Presses de Sciences-Po, volume 70, issue 6, pages 1053-1077.
• Christophe Hurlin & Christophe Pérignon, 2019, "Machine learning et nouvelles sources de données pour le scoring de crédit," Revue d'économie financière, Association d'économie financière, volume 0, issue 3, pages 21-50.
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• Julian Andres VILLAMIL & Luis Felipe QUINTERO & Gustavo Adolfo HERNANDEZ-DIAZ, 2019, "Generación de empleos y clústeres," Archivos de Economía, Departamento Nacional de Planeación, number 17506, Sep.
• Sofía Orazi & Lisana Bel�n Martinez & Hern�n P. Vigier, 2019, "La inclusión financiera en América Latina y Europa," Ensayos de Economía, Universidad Nacional de Colombia Sede Medellín, number 18301, Jul, DOI: 10.15446/ede.v29n55.79425.
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• Martin Bruns, 2019, "Proxy VAR Models in a Data-Rich Environment," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 1831.
• Ksenija Dumičić & Lea Bregar & Blagica Novkovska, 2019, "Adult Participation in Learning in Digital Age: Profiles of Clustered European Union Countries," Journal of Innovative Business and Management, DOBA Faculty, volume 11, issue 3, DOI: 10.32015/JIBM/2019-11-3-3.
• Virginie Coudert & Cécile Couharde & Carl Grekou & Valérie Mignon, 2019, "Heterogeneity within the euro area: New insights into an old story," EconomiX Working Papers, University of Paris Nanterre, EconomiX, number 2019-6.
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• Sergey G. Tyaglov & Anastasia V. Sheveleva & Tatyana V. Shurukhina & Tamara B. Guseva, 2019, "Model for Forming the Interregional Cluster of the Alternative Energy," International Journal of Energy Economics and Policy, Econjournals, volume 9, issue 3, pages 373-378.
• Fernández Domínguez, Amilcar O. & Gómez Hernández, Denise, 2019, "El bienestar de la población de los estados de México bajo un enfoque de multidimensionalidad," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
• Fernández Domínguez, Amilcar O. & Gómez Hernández, Denise, 2019, "A multidimensional approach to the well-being of the population of the states of Mexico," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
• Barletta, Andrea & Santucci de Magistris, Paolo & Sloth, David, 2019, "It only takes a few moments to hedge options," Journal of Economic Dynamics and Control, Elsevier, volume 100, issue C, pages 251-269, DOI: 10.1016/j.jedc.2018.11.008.
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• Rozite, Kristiana & Bezemer, Dirk J. & Jacobs, Jan P.A.M., 2019, "Towards a financial cycle for the U.S., 1973–2014," The North American Journal of Economics and Finance, Elsevier, volume 50, issue C, DOI: 10.1016/j.najef.2019.101023.
• Wang, Wuyi & Phillips, Peter C.B. & Su, Liangjun, 2019, "The heterogeneous effects of the minimum wage on employment across states," Economics Letters, Elsevier, volume 174, issue C, pages 179-185, DOI: 10.1016/j.econlet.2018.11.002.
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• Fan, Jianqing & Wang, Weichen & Zhong, Yiqiao, 2019, "Robust covariance estimation for approximate factor models," Journal of Econometrics, Elsevier, volume 208, issue 1, pages 5-22, DOI: 10.1016/j.jeconom.2018.09.003.
• Boot, Tom & Nibbering, Didier, 2019, "Forecasting using random subspace methods," Journal of Econometrics, Elsevier, volume 209, issue 2, pages 391-406, DOI: 10.1016/j.jeconom.2019.01.009.
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• Onatski, Alexei & Wang, Chen, 2019, "Extreme canonical correlations and high-dimensional cointegration analysis," Journal of Econometrics, Elsevier, volume 212, issue 1, pages 307-322, DOI: 10.1016/j.jeconom.2019.04.032.
• Castagnetti, Carolina & Rossi, Eduardo & Trapani, Lorenzo, 2019, "A two-stage estimator for heterogeneous panel models with common factors," Econometrics and Statistics, Elsevier, volume 11, issue C, pages 63-82, DOI: 10.1016/j.ecosta.2017.10.005.
• Fosten, Jack, 2019, "CO2 emissions and economic activity: A short-to-medium run perspective," Energy Economics, Elsevier, volume 83, issue C, pages 415-429, DOI: 10.1016/j.eneco.2019.07.015.
• Yilmaz, S. & Weber, S. & Patel, M.K., 2019, "Who is sensitive to DSM? Understanding the determinants of the shape of electricity load curves and demand shifting: Socio-demographic characteristics, appliance use and attitudes," Energy Policy, Elsevier, volume 133, issue C, DOI: 10.1016/j.enpol.2019.110909.
• Kurka, Josef, 2019, "Do cryptocurrencies and traditional asset classes influence each other?," Finance Research Letters, Elsevier, volume 31, issue C, pages 38-46, DOI: 10.1016/j.frl.2019.04.018.
• Kolari, James W. & López-Iturriaga, Félix J. & Sanz, Ivan Pastor, 2019, "Predicting European bank stress tests: Survival of the fittest," Global Finance Journal, Elsevier, volume 39, issue C, pages 44-57, DOI: 10.1016/j.gfj.2018.01.015.
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• Rodríguez-Caballero, Carlos Vladimir & Caporin, Massimiliano, 2019, "A multilevel factor approach for the analysis of CDS commonality and risk contribution," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 63, issue C, DOI: 10.1016/j.intfin.2019.101144.
• Szafranek, Karol, 2019, "Bagged neural networks for forecasting Polish (low) inflation," International Journal of Forecasting, Elsevier, volume 35, issue 3, pages 1042-1059, DOI: 10.1016/j.ijforecast.2019.04.007.
• Bailliu, Jeannine & Han, Xinfen & Kruger, Mark & Liu, Yu-Hsien & Thanabalasingam, Sri, 2019, "Can media and text analytics provide insights into labour market conditions in China?," International Journal of Forecasting, Elsevier, volume 35, issue 3, pages 1118-1130, DOI: 10.1016/j.ijforecast.2019.03.003.
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• David, Oladipo Olalekan, 2019, "Nexus between telecommunication infrastructures, economic growth and development in Africa: Panel vector autoregression (P-VAR) analysis," Telecommunications Policy, Elsevier, volume 43, issue 8, pages 1-1, DOI: 10.1016/j.telpol.2019.03.005.
• Paul Worden, 2019, "Empirical Processes: Factor and Idiosyncratic," Journal of Economics and Econometrics, Economics and Econometrics Society, volume 62, issue 1, pages 48-65.
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• Christian Gross & Pierre L. Siklos, 2019, "Analyzing Credit Risk Transmission to the Non-Financial Sector in Europe: A Network Approach," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-43, Jun.