Research classified by Journal of Economic Literature (JEL) codes

---

Top JEL
/ C: Mathematical and Quantitative Methods
/ / C8: Data Collection and Data Estimation Methodology; Computer Programs
/ / / C80: General
/ / / C81: Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
/ / / C82: Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
/ / / C83: Survey Methods; Sampling Methods
/ / / C87: Econometric Software
/ / / C88: Other Computer Software
/ / / C89: Other

---

This JEL code is mentioned in the following RePEc Biblio entries:

1. Replication

2020

• Alessandro Crociata & Massimiliano Agovino & Donatella Furia & Giacomo Osmi & Nicola Mattoscio & Massimiliano Cerciello, 2020, "Impulse and time persistence of disaggregate welfare expenditure on growth in the EU," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, volume 37, issue 1, pages 13-38, April, DOI: 10.1007/s40888-019-00156-6.
• Amaia Altuzarra & Catalina Gálvez-Gálvez & Ana González-Flores, 2020, "Do Spanish Dual-Earner Couples Share Unpaid Work Equally?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, volume 150, issue 3, pages 731-763, August, DOI: 10.1007/s11205-020-02346-3.
• Martin Wiegand, 2020, "Welfare Measurement and Poverty Targeting Based on Participatory Wealth Rankings," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 20-086/V, Dec.
• Ali Mehrabani & Aman Ullah, 2020, "Improved Average Estimation in Seemingly Unrelated Regressions," Working Papers, University of California at Riverside, Department of Economics, number 202013, Jan, revised Jun 2020.
• Snezhana Sulova, 2020, "Data Management Challenges In The Context Of The Digital Transformation Of Business," Economic Science, education and the real economy: Development and interactions in the digital age, Publishing house Science and Economics Varna, issue 1, pages 599-609.
• Bashir Zahid & Arshad Muhammad Usman & Asif Muhammad & Khalid Nusrat, 2020, "Driving Factors of Growth Evidence in the Food and Textile Sectors of Pakistan," Financial Internet Quarterly (formerly e-Finanse), Sciendo, volume 16, issue 1, pages 11-19, March, DOI: 10.2478/fiqf-2020-0002.
• Burkina Natalia & Furman Taras & Soboń Janusz & Sapun Kostiantyn, 2020, "Regional Differentiation for Life Quality of the Population in Ukraine Under Innovative Growth," Financial Internet Quarterly (formerly e-Finanse), Sciendo, volume 16, issue 2, pages 73-86, June, DOI: 10.2478/fiqf-2020-0014.
• Galdo,Jose & Dammert,Ana C. & Abebaw,Degnet, 2020, "Gender Bias in Agricultural Child Labor : Evidence from Survey Design Experiments," Policy Research Working Paper Series, The World Bank, number 9410, Sep.
• Francesco Ravazzolo & Joaquin Vespignani, 2020, "World steel production: A new monthly indicator of global real economic activity," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, volume 53, issue 2, pages 743-766, May, DOI: 10.1111/caje.12442.
• Apostolos Davillas & Stephen Pudney, 2020, "Biomarkers, disability and health care demand," Health, Econometrics and Data Group (HEDG) Working Papers, HEDG, c/o Department of Economics, University of York, number 20/06, Apr.
• Schröder, Carsten & König, Johannes & Fedorets, Alexandra & Goebel, Jan & Grabka, Markus M. & Lüthen, Holger & Metzing, Maria & Schikora, Felicitas & Liebig, Stefan, 2020, "The economic research potentials of the German Socio-Economic Panel study," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, volume 21, issue 3, pages 335-371, DOI: 10.1515/ger-2020-0033.
• Steyn, Dimitri H. W. & Greyling, Talita & Rossouw, Stephanie & Mwamba, John M., 2020, "Sentiment, emotions and stock market predictability in developed and emerging markets," GLO Discussion Paper Series, Global Labor Organization (GLO), number 502.
• Davillas, Apostolos & Pudney, Stephen, 2020, "Biomarkers, disability and health care demand," GLO Discussion Paper Series, Global Labor Organization (GLO), number 517.
• Luca F. Hudasi & Laszlo Ady, 2020, "Sensitivity analysis of condominium lightning protection risk analysis," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, volume 18, issue 3, pages 382-388.

2019

• Magdolna Sass & Jana Vlčková, 2019, "Just Look behind the Data! Czech and Hungarian Outward Foreign Direct Investment and Multinationals," Acta Oeconomica, Akadémiai Kiadó, Hungary, volume 69, issue supplemen, pages 73-105, December.
• Hristo Prodanov, 2019, "Big Data, changes in statistics and the new challenges to politico-economic systems," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 40-58.
• Kim Huynh & Gradon Nicholls & Mitchell Nicholson, 2019, "2018 Merchant Acceptance Survey," Staff Analytical Notes, Bank of Canada, number 2019-31, Dec, DOI: 10.34989/san-2019-31.
• Davide Ferrari & Francesco Ravazzolo & Joaquin Vespignani, 2019, "Forecasting Energy Commodity Prices: A Large Global Dataset Sparse Approach," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 11/2019, Dec.
• Marios Papaspyrou & Athanasios Petralias, 2019, "The Greek shipping estimation model," Economic Bulletin, Bank of Greece, issue 49, pages 28-39, July.
• Francesconi, Marco & Ciani, Emanuele & , & Etheridge, Ben, 2019, "Policy Uncertainty and Information Flows: Evidence from Pension Reform Expectations," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13988, Sep.
• Ishita Chakraborty & Minkyung Kim & K. Sudhir, 2019, "Attribute Sentiment Scoring With Online Text Reviews : Accounting for Language Structure and Attribute Self-Selection," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2176, May.
• Ishita Chakraborty & Minkyung Kim & K. Sudhir, 2019, "Attribute Sentiment Scoring With Online Text Reviews : Accounting for Language Structure and Attribute Self-Selection," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2176R, May, revised Sep 2020.
• Ishita Chakraborty & Minkyung Kim & K. Sudhir, 2019, "Attribute Sentiment Scoring With Online Text Reviews : Accounting for Language Structure and Attribute Self-Selection," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2176R2, May, revised Jun 2021.
• Katya Kirilova, 2019, "The State Of Municipal Administrative Service And Prospects For Its Development," Business Management, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 3 Year 20, pages 23-42.
• Катя Кирилова, 2019, "Състояние И Насоки За Развитие На Административното Обслужване В Общините," Business Management, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 3 Year 20, pages 25-45.
• Adam J. Check & Anna K Nolan & Tyler C. Schipper, 2019, "Forecasting GDP Growth using Disaggregated GDP Revisions," Economics Bulletin, AccessEcon, volume 39, issue 4, pages 2580-2588.
• Giuseppe De Arcangelis & Rama Dasi Mariani, 2019, "Multi-Country Tasks Measures: Beyond US-based Data and a Focus on Migration," Economics Bulletin, AccessEcon, volume 39, issue 3, pages 2155-2161.
• Azqueta-Gavaldon, Andres & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2019, "Sources of economic policy uncertainty in the euro area: a machine learning approach," Economic Bulletin Boxes, European Central Bank, volume 5.
• Prapita Thanarak & Teerarat Chiramakara, 2019, "GHG Emission and Cost Performance of Life Cycle Energy on Agricultural Land Used for Photovoltaic Power Plant," International Journal of Energy Economics and Policy, Econjournals, volume 9, issue 2, pages 156-165.
• Klee, Mark A. & Chenevert, Rebecca L. & Wilkin, Kelly R., 2019, "Revisiting the shape of earnings nonresponse," Economics Letters, Elsevier, volume 184, issue C, DOI: 10.1016/j.econlet.2019.108663.
• Larsen, Vegard H. & Thorsrud, Leif A., 2019, "The value of news for economic developments," Journal of Econometrics, Elsevier, volume 210, issue 1, pages 203-218, DOI: 10.1016/j.jeconom.2018.11.013.
• Lin, Boqiang & Wu, Wei & Bai, Mengqi & Xie, Chunping & Radcliffe, Jonathan, 2019, "Liquid air energy storage: Price arbitrage operations and sizing optimization in the GB real-time electricity market," Energy Economics, Elsevier, volume 78, issue C, pages 647-655, DOI: 10.1016/j.eneco.2018.11.035.
• Ghoddusi, Hamed & Creamer, Germán G. & Rafizadeh, Nima, 2019, "Machine learning in energy economics and finance: A review," Energy Economics, Elsevier, volume 81, issue C, pages 709-727, DOI: 10.1016/j.eneco.2019.05.006.
• Bull, Charles & Courty, Pascal & Doyon, Maurice & Rondeau, Daniel, 2019, "Failure of the Becker–DeGroot–Marschak mechanism in inexperienced subjects: New tests of the game form misconception hypothesis," Journal of Economic Behavior & Organization, Elsevier, volume 159, issue C, pages 235-253, DOI: 10.1016/j.jebo.2019.01.003.
• Chang, Wan-Ying & Cheng, Wei & Lane, Julia & Weinberg, Bruce, 2019, "Federal funding of doctoral recipients: What can be learned from linked data," Research Policy, Elsevier, volume 48, issue 6, pages 1487-1492, DOI: 10.1016/j.respol.2019.03.001.
• Miguelez, Ernest, 2019, "Collaborative patents and the mobility of knowledge workers," Technovation, Elsevier, volume 86, issue , pages 62-74, DOI: 10.1016/j.technovation.2019.01.001.
• Davide Ferrari & Francesco Ravazzolo & Joaquin Vespignani, 2019, "Forecasting Energy Commodity Prices: A Large Global Dataset Sparse Approach," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-90, Dec.
• Johannes von Bloh & Tom Broekel & Burcu Oezgun & Rolf Sternberg, 2019, "New(s) data for Entrepreneurship Research? An innovative approach to use Big Data on media coverage," Papers in Evolutionary Economic Geography (PEEG), Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, number 1920, Jun, revised Jun 2019.
• Davide Ferrari & Francesco Ravazzolo & Joaquin L. Vespignani, 2019, "Forecasting Energy Commodity Prices: A Large Global Dataset Sparse Approach," Globalization Institute Working Papers, Federal Reserve Bank of Dallas, number 376, Dec, DOI: 10.24149/gwp376.
• Arthur Charpentier & Ndéné Ka & Stéphane Mussard & Oumar Hamady Ndiaye, 2019, "Gini Regressions and Heteroskedasticity," Econometrics, MDPI, volume 7, issue 1, pages 1-16, January.
• David H. Bernstein & Bent Nielsen, 2019, "Asymptotic Theory for Cointegration Analysis When the Cointegration Rank Is Deficient," Econometrics, MDPI, volume 7, issue 1, pages 1-24, January.
• Catherine Haeck & Marie Connolly, 2019, "Point de vue sur l'accessibilité aux données des administrations publiques," Working Papers, Research Group on Human Capital, University of Quebec in Montreal's School of Management, number 19-04, Dec.
• Arthur Charpentier & Ndéné Ka & Stéphane Mussard & Oumar Hamady Ndiaye, 2019, "Gini Regressions and Heteroskedasticity," Post-Print, HAL, number hal-02131746, Mar, DOI: 10.3390/econometrics7010004.
• Ernest Miguelez, 2019, "Collaborative patents and the mobility of knowledge workers," Post-Print, HAL, number hal-03158146, DOI: 10.1016/j.technovation.2019.01.001.
• Rafael Granell Pérez & Amadeo Fuenmayor Fernández, 2019, "Implementing a Negative Income Tax. Net Cost, Poverty and Inequality Effects," Hacienda Pública Española / Review of Public Economics, IEF, volume 228, issue 1, pages 83-108, March.
• Stefan Mittnik & Willi Semmler & Alexander Haider, 2019, "Climate Disaster Risks – Empirics and a Multi-Phase Dynamic Model," IMF Working Papers, International Monetary Fund, number 2019/145, Jul.
• Brown, J. David & Heggeness, Misty L. & Dorinski, Suzanne M. & Warren, Lawrence & Yi, Moises, 2019, "Estimating the Potential Effects of Adding a Citizenship Question to the 2020 Census," IZA Discussion Papers, IZA Network @ LISER, number 12087, Jan.
• Hersch, Joni & Mendoza Lopez, Fernando & Shinall, Jennifer Bennett, 2019, "Missing Data in Imputed Highest Grade Completed in the 2015 -2018 NBER CPS Extracts," IZA Discussion Papers, IZA Network @ LISER, number 12575, Aug.
• Ciani, Emanuele & Delavande, Adeline & Etheridge, Ben & Francesconi, Marco, 2019, "Policy Uncertainty and Information Flows: Evidence from Pension Reform Expectations," IZA Discussion Papers, IZA Network @ LISER, number 12604, Sep.
• Mohamed Bakli & Mahmoud Sakr & Taysir Hassan A. Soliman, 2019, "HadoopTrajectory: a Hadoop spatiotemporal data processing extension," Journal of Geographical Systems, Springer, volume 21, issue 2, pages 211-235, June, DOI: 10.1007/s10109-019-00292-4.
• Steven J. Brams & D. Marc Kilgour & Richard F. Potthoff, 2019, "Multiwinner approval voting: an apportionment approach," Public Choice, Springer, volume 178, issue 1, pages 67-93, January, DOI: 10.1007/s11127-018-0609-2.
• Sebők, Anna, 2019, "A KRTK Adatbank Kapcsolt Államigazgatási Paneladatbázisa
  [The panel of linked administrative data in the CERS databank]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), volume 0, issue 11, pages 1230-1236, DOI: 10.18414/KSZ.2019.11.1230.
• Alexis Bogroff & Dominique Guégan, 2019, "Artificial Intelligence, Data, Ethics: An Holistic Approach for Risks and Regulation," Documents de travail du Centre d'Economie de la Sorbonne, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, number 19012, Jun.
• Priyanga Dilini Talagala & Rob J Hyndman & Kate Smith-Miles, 2019, "Anomaly Detection in High Dimensional Data," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 20/19.
• Krzysztof Rybinski, 2019, "A machine learning framework for automated analysis of central bank communication and media discourse. The case of Narodowy Bank Polski," Bank i Kredyt, Narodowy Bank Polski, volume 50, issue 1, pages 1-20.
• Jeffrey C. Chen & Abe Dunn & Kyle Hood & Alexander Driessen & Andrea Batch, 2019, "Off to the Races: A Comparison of Machine Learning and Alternative Data for Predicting Economic Indicators," NBER Chapters, National Bureau of Economic Research, Inc, "Big Data for Twenty-First-Century Economic Statistics".
• Rebecca J. Hutchinson, 2019, "Improving Retail Trade Data Products Using Alternative Data Sources," NBER Chapters, National Bureau of Economic Research, Inc, "Big Data for Twenty-First-Century Economic Statistics".
• John Cuffe & Sudip Bhattacharjee & Ugochukwu Etudo & Justin C. Smith & Nevada Basdeo & Nathaniel Burbank & Shawn R. Roberts, 2019, "Using Public Data to Generate Industrial Classification Codes," NBER Chapters, National Bureau of Economic Research, Inc, "Big Data for Twenty-First-Century Economic Statistics".
• Don A. Fast & Susan E. Fleck, 2019, "Unit Values for Import and Export Price Indexes: A Proof of Concept," NBER Chapters, National Bureau of Economic Research, Inc, "Big Data for Twenty-First-Century Economic Statistics".
• Crystal G. Konny & Brendan K. Williams & David M. Friedman, 2019, "Big Data in the US Consumer Price Index: Experiences and Plans," NBER Chapters, National Bureau of Economic Research, Inc, "Big Data for Twenty-First-Century Economic Statistics".
• Jonathan I. Dingel & Antonio Miscio & Donald R. Davis, 2019, "Cities, Lights, and Skills in Developing Economies," NBER Working Papers, National Bureau of Economic Research, Inc, number 25678, Mar.
• Marie Leclair & Isabelle Léonard & Guillaume Rateau & Patrick Sillard & Gaëtan Varlet & Pierre Vernédal, 2019, "Scanner Data: Advances in Methodology and New Challenges for Computing Consumer Price," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 509, pages 13-29, DOI: https://doi.org/10.24187/ecostat.20.
• Isabelle Léonard & Patrick Sillard & Gaëtan Varlet & Jean-Paul Zoyem, 2019, "Spatial Differences in Price Levels between French Regions and Cities with Scanner Data," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 509, pages 69-82, DOI: https://doi.org/10.24187/ecostat.20.
• Nikolay Krushkov, 2019, "Intellectual Property Systems and Trade Secret Systems Protect Against Fraud," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 95-100, March.
• Simona Vasilica Oprea & Adela Bâra, 2019, "Big Data Solutions for Efficient Operation of Microgrids," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, volume 0, issue 1, pages 266-271, August.
• Petrov, Pavel & Dimitrov, Petar, 2019, "Security Certificates in Public Web Sites of Banks from Balkan States," MPRA Paper, University Library of Munich, Germany, number 102985, Oct.
• Jafari Kang, Masood & Zohoori, Sepideh & Abbasi, Elahe & Li, Yueqing & Hamidi, Maryam, 2019, "Predicting the price of second-hand vehicles using data mining techniques," MPRA Paper, University Library of Munich, Germany, number 103933, Nov.
• Yang, Bill Huajian, 2019, "Resolutions to flip-over credit risk and beyond," MPRA Paper, University Library of Munich, Germany, number 93389, Mar.
• Patel, Abhishek & Anand, Rajesh, 2019, "Fast Security Constraint Unit Commitment by Utilizing Chaotic Crow Search Algorithm," MPRA Paper, University Library of Munich, Germany, number 93971, May.
• Teng, Sin Yong & How, Bing Shen & Leong, Wei Dong & Teoh, Jun Hao & Cheah, Adrian Chee Siang & Motavasel, Zahra & Lam, Hon Loong, 2019, "Principal component analysis-aided statistical process optimisation (PASPO) for process improvement in industrial refineries," MPRA Paper, University Library of Munich, Germany, number 94058, Jul, revised 01 Jan 2019.
• Casella, Bruno, 2019, "FDI Statistics and International Production: Towards (Re-) Conciliation?," MPRA Paper, University Library of Munich, Germany, number 95203, Apr, revised 14 May 2019.
• Leong, Wei Dong & Teng, Sin Yong & How, Bing Shen & Ngan, Sue Lin & Lam, Hon Loong & Tan, Chee Pin & Ponnambalam, S. G., 2019, "Adaptive Analytical Approach to Lean and Green Operations," MPRA Paper, University Library of Munich, Germany, number 95449, May, revised 20 May 2019.
• Vondra, Marek & Touš, Michal & Teng, Sin Yong, 2019, "Digestate Evaporation Treatment in Biogas Plants: A Techno-economic Assessment by Monte Carlo, Neural Networks and Decision Trees," MPRA Paper, University Library of Munich, Germany, number 95770, Sep.
• Teng, Sin Yong & Loy, Adrian Chun Minh & Leong, Wei Dong & How, Bing Shen & Chin, Bridgid Lai Fui & Máša, Vítězslav, 2019, "Catalytic thermal degradation of Chlorella Vulgaris: Evolving deep neural networks for optimization," MPRA Paper, University Library of Munich, Germany, number 95772, Sep.
• Suarez, Ronny, 2019, "A Monte Carlo Simulation Framework to Track Panama NDC Target," MPRA Paper, University Library of Munich, Germany, number 97022, Nov.
• Fabio Franco, 2019, "Efficient Particle MCMC with GMM likelihood representation," CEIS Research Paper, Tor Vergata University, CEIS, number 473, Nov, revised 18 Nov 2019.
• Fabio Franco, 2019, "Likelihood Induced by Moment Functions Using Particle Filter: a Comparison of Particle GMM and Standard MCMC Methods," CEIS Research Paper, Tor Vergata University, CEIS, number 477, Dec, revised 04 Dec 2019.
• Mirza Ponjavic & Almir Karabegovic & Samir Omanovic & Emir Buza & Ingmar Besic, 2019, "Location Intelligence for Gas Transportation Infrastructure (Inteligentne systemy informacji geograficznej wykorzystywane w infrastrukturze przesylowej gazu)," Problemy Zarzadzania, University of Warsaw, Faculty of Management, volume 17, issue 85, pages 40-55.
• Kevin Laubis & Marcel Konstantinov & Viliam Simko & Alexander Gröschel & Christof Weinhardt, 2019, "Enabling crowdsensing-based road condition monitoring service by intermediary," Electronic Markets, Springer;IIM University of St. Gallen, volume 29, issue 1, pages 125-140, March, DOI: 10.1007/s12525-018-0292-7.
• Stéphane Mussard & Fattouma Souissi-Benrejab, 2019, "Gini-PLS Regressions," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), volume 17, issue 3, pages 477-512, September, DOI: 10.1007/s40953-018-0132-9.
• Adrian Chadi, 2019, "Dissatisfied with life or with being interviewed? Happiness and the motivation to participate in a survey," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, volume 53, issue 3, pages 519-553, October, DOI: 10.1007/s00355-019-01195-5.
• Ferrari, Davide & Ravazzolo, Francesco & Vespignani, Joaquin, 2019, "Forecasting energy commodity prices: a large global dataset sparse approach," Working Papers, University of Tasmania, Tasmanian School of Business and Economics, number 2019-09.
• Diewert, Erwin & Fox, Kevin J., 2019, "Productivity Indexes and National Statistics: Theory, Methods and Challenges," Microeconomics.ca working papers, Vancouver School of Economics, number erwin_diewert-2019-8, Apr, revised 25 Apr 2019.
• Alexis Bogroff & Dominique Guégan, 2019, "Artificial Intelligence, Data, Ethics. An Holistic Approach for Risks and Regulation," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2019: 19.
• Snezhana Sulova, 2019, "Digitalization In The Construction Industry And The Need Of Innovative Database Models," INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "CONSTRUCTION ENTREPRENEURSHIP AND REAL PROPERTY", University of Economics - Varna, issue 1, pages 78-85.
• Monika Tsaneva, 2019, "Challenges of GDPR compliance in consumer financing companies," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 103-115.
• Todorka Atanasova, 2019, "Main factors influencing digitization in construction companies," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 116-125.
• Silviya Parusheva, 2019, "Digitalization and digital transformation in construction – benefits and challenges," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 126-134.
• Kamelia Stefanova & Dorina Kabakchieva, 2019, "Challenges and Perspectives of Digital Transformation," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 13-23.
• Snezhana Sulova, 2019, "The Usage of Data Lake for Business Intelligence Data Analysis," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 135-144.
• Pavel Petrov, 2019, "Web security technologies used in banks of Estonia, Latvia and Lithuania," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 145-154.
• Tanka Milkova, 2019, "ABC analysis of inventory in MS Excel," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 155-165.
• Ivan Kuyumdzhiev & Radka Nacheva, 2019, "Choosing Storage Devices with Consideration of Backup and Restore Performance in MS SQL SERVER," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 166-176.
• Yanka Aleksandrova, 2019, "Predicting Students Performance in Moodle Platforms Using Machine Learning Algorithms," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 177-187.
• Latinka Todoranova & Bonimir Penchev, 2019, "M-learning Applications," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 188-197.
• Boris Bankov, 2019, "The Impact of Social Media on Video Game Communities and the Gaming Industry," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 198-208.
• Velina Koleva & Svetoslav Ivanov, 2019, "Social media and the recruitment of IT professionals in Bulgarian IT companies," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 209-224.
• Deyan Mihaylov, 2019, "Modeling and Simulation of Some Functions of Two Independent Random Variables," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 225-232.
• Oumar Sy, 2019, "Using Association Rules as Semantics for Domain Ontologies," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 233-246.
• Julian Vasilev & Marian Cristescu, 2019, "Approaches for information sharing from manufacturing logistics with downstream supply chain partners," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 24-29.
• Ina Stanoeva, 2019, "Social media possibilities for improving arts marketing performance," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 247-256.
• Iskren Tairov & Vladislav Vasilev, 2019, "Perspectives on mobile devices adoption in healthcare sector," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 257-262.
• Angelin Lalev, 2019, "Deep Neural Networks for Detection of Credit Card Fraud," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 263-274.
• Miglena Stoyanova, 2019, "Priorities for Digital Transformation in Property Management," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 275-283.
• Mihail Radev, 2019, "Organizational Variants of IT Department at the University," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 284-290.
• Mariya Armyanova, 2019, "IoT problems and design patterns which are appropriate to solve them," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 291-305.
• Abdel-Badeeh M. Salem, 2019, "Computational Intelligence in Smart Education and Learning," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 30-40.
• Yavor Christov, 2019, "Corporate Big Data and Hybrid Integration Platforms," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 306-313.
• Ivan Belev, 2019, "Making financial data readable using Inline XBRL," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 314-321.
• Ivan Belev, 2019, "eXtensible Business Reporting Language (XBRL) – a technical overview," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 322-330.
• Anna Sobczak, 2019, "Entrepreneurship in the education of university students," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 331-342.
• Mihaela Markova, 2019, "E-commerce in the process of digital transformation: preparedness, requirements and technological tendencies," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 343-352.
• Petya Petrova, 2019, "Basic Soft Computing Methods In User Profile Modeling," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 353-368.
• Petar Dimitrov, 2019, "Methods for storing authentication data – a historical review," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 369-381.
• Svetoslav Ivanov, 2019, "Development stages of starting software company, problems and approaches for software development," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 382-396.
• Antonio Hadzhikolev, 2019, "The role of the smart city concept in the process of urban transformation," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 397-409.
• Marian NiedźwiedziÅ„ski, 2019, "Proposal of the Multi-aspect Analysis of ICT’s Needs in Management," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 41-51.
• Oumar Sy, 2019, "Ontology-based materialized views for reverse engineering: Toward a set of conceptual guidelines," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 410-423.
• Krasimir Shishmanov, 2019, "Digital Transformation in Bulgaria," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 52-61.
• Tatyana Makarchuk & Valery Trofimov & Svetlana Demchenko, 2019, "Modeling the life cycle of e-learning course using Moodle Cloud LMS," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 62-71.
• Vanya Lazarova, 2019, "Exploring the functionality of Bulgaria eGovernment site," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 72-82.
• Veselin Popov & Petia Emilova, 2019, "Big data and information security," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 83-90.
• Luben Boyanov, 2019, "Approaches for enhancing digitalization and digital transformation in supply chain management," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 91-102.
• Barańska Anna Marta, 2019, "Correlation Analysis in the Process of Weighting Real Property Attributes," Real Estate Management and Valuation, Sciendo, volume 27, issue 4, pages 74-84, December, DOI: 10.2478/remav-2019-0037.
• Cameron,Grant James & Dang,Hai-Anh H. & Dinc,Mustafa & Foster,James Stephen & Lokshin,Michael M., 2019, "Measuring the Statistical Capacity of Nations," Policy Research Working Paper Series, The World Bank, number 8693, Jan.
• Koroknay-Palicz,Tricia & Montalvao,Joao, 2019, "Sex, Lies, and Surveys : The Role of Interviewer Characteristics," Policy Research Working Paper Series, The World Bank, number 8732, Feb.
• Annan,Jeannie Ruth & Donald,Aletheia Amalia & Goldstein,Markus P. & Gonzalez Martinez,Paula Lorena & Koolwal,Gayatri B., 2019, "Taking Power : Women's Empowerment and Household Well-Being in Sub-Saharan Africa," Policy Research Working Paper Series, The World Bank, number 9034, Oct.
• Krstić, Živko & Seljan, Sanja & Zoroja, Jovana, 2019, "Visualization of Big Data Text Analytics in Financial Industry: A Case Study of Topic Extraction for Italian Banks," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2019), Rovinj, Croatia, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb, "Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 12-14 September 2019".
• Babič, Matej & Soldo, Božo & Povh, Janez, 2019, "New Approach to Modelling and Its Application in Transportation in Urban Traffic," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2019), Rovinj, Croatia, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb, "Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 12-14 September 2019".
• Cameron, Grant J. & Dang, Hai-Anh H. & Dinc, Mustafa & Foster, James & Lokshin, Michael M., 2019, "Measuring the Statistical Capacity of Nations," GLO Discussion Paper Series, Global Labor Organization (GLO), number 298.
• Gutmann, Jerg & Padovano, Fabio & Voigt, Stefan, 2019, "Perception vs. Experience: Explaining Differences in Corruption Measures Using Microdata," ILE Working Paper Series, University of Hamburg, Institute of Law and Economics, number 30.
• Kleiner, Tuuli-Marja, 2019, "Datenlage zur quantitativen Analyse des ehrenamtliches Engagements in ländlichen Räumen," Thünen Working Papers, Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries, number 131, DOI: 10.3220/WP1571829075000.
• Ngare, Philip, 2019, "Analysis of the coexistence of conventional and unconventional credit markets in the agribusiness sector in Kenya," KBA Centre for Research on Financial Markets and Policy Working Paper Series, Kenya Bankers Association (KBA), number 37.

2018

• Aurelio F. Bariviera & Angelo Plastino & George Judge, 2018, "Spurious seasonality detection: a non-parametric test proposal," Papers, arXiv.org, number 1801.07941, Jan.
• Marco Bottone & Lucia Modugno & Andrea Neri, 2018, "Response burden and data quality in business surveys: the experience of Banca d'Italia," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 467, Oct.
• Edward L. Glaeser & Scott Duke Kominers & Michael Luca & Nikhil Naik, 2018, "Big Data And Big Cities: The Promises And Limitations Of Improved Measures Of Urban Life," Economic Inquiry, Western Economic Association International, volume 56, issue 1, pages 114-137, January, DOI: 10.1111/ecin.12364.
• Yukai Yang & Luc Bauwens, 2018, "State-space models on the Stiefel Manifold with a new approach to nonlinear filtering," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2985, Jan, DOI: https://doi.org/10.3390/econometric.
• Humberto Barreto & Michele Villinski, 2018, "Accessing IRS Form 990 Data with Excel," Working Papers, DePauw University, School of Business and Leadership and Department of Economics and Management, number 2018-02, Sep.
• Qi DONG & Tomoaki MURAKAMI & Yasuhiro NAKASHIMA, 2018, "Estimating China’S Agricultural Capital Stock From 1952 To 2012," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, volume 18, issue 2, pages 53-70.
• George P. Papaioannou & Christos Dikaiakos & Akylas Stratigakos & Anargyros Dramountanis & Antonio T. Alexandridis, 2018, "Using a Rolling Vector Error Correction Model to Model Static and Dynamic Causal Relations between Electricity Spot Price and Related Fundamental Factors: The Case of Greek Electricity Market," International Journal of Energy Economics and Policy, Econjournals, volume 8, issue 1, pages 38-54.
• Chaiporn Suphahitanukool & Issaree Hunsacharoonroj & Parnuwat Usapein & Joseph Khedari & Jompob Waewsak & Jongjit Hirunalbh, 2018, "An Evaluation of Economic Potential Solar Photovoltaic Farm in Thailand: Case study of Polycrystalline Silicon and Amorphous Silicon Thin Film," International Journal of Energy Economics and Policy, Econjournals, volume 8, issue 4, pages 33-41.
• V. Ramesh Kumar & Pradipkumar Dixit, 2018, "Artificial Neural Network Model for Hourly Peak Load Forecast," International Journal of Energy Economics and Policy, Econjournals, volume 8, issue 5, pages 155-160.
• Arthi, Vellore & Beegle, Kathleen & De Weerdt, Joachim & Palacios-López, Amparo, 2018, "Not your average job: Measuring farm labor in Tanzania," Journal of Development Economics, Elsevier, volume 130, issue C, pages 160-172, DOI: 10.1016/j.jdeveco.2017.10.005.
• Saltzman, Bennett & Yung, Julieta, 2018, "A machine learning approach to identifying different types of uncertainty," Economics Letters, Elsevier, volume 171, issue C, pages 58-62, DOI: 10.1016/j.econlet.2018.07.003.
• Hart, Sergiu & Nisan, Noam, 2018, "The query complexity of correlated equilibria," Games and Economic Behavior, Elsevier, volume 108, issue C, pages 401-410, DOI: 10.1016/j.geb.2016.11.003.
• Davillas, Apostolos & Pudney, Stephen, 2018, "Biomarkers as precursors of disability," ISER Working Paper Series, Institute for Social and Economic Research, number 2018-11, Jul.
• Arun G Chandrasekhar & Alireza Tahbaz-Salehi, 2018, "Seeing the Forest for the Trees? An Investigation of Network Knowledge," Working Papers, eSocialSciences, number id:12573, Mar.
• Russell Davidson, 2018, "Statistical Inference on the Canadian Middle Class," Econometrics, MDPI, volume 6, issue 1, pages 1-18, March.
• Aurelio F. Bariviera & Angelo Plastino & George Judge, 2018, "Spurious Seasonality Detection: A Non-Parametric Test Proposal," Econometrics, MDPI, volume 6, issue 1, pages 1-15, January.
• Gilles Dufrénot & Fredj Jawadi & Alexander Mihailov, 2018, "Recent Developments in Macro-Econometric Modeling: Theory and Applications," Econometrics, MDPI, volume 6, issue 2, pages 1-5, May.
• Alaa Abi Morshed & Elena Andreou & Otilia Boldea, 2018, "Structural Break Tests Robust to Regression Misspecification," Econometrics, MDPI, volume 6, issue 2, pages 1-39, May.
• Martin Biewen & Emmanuel Flachaire, 2018, "Econometrics and Income Inequality," Econometrics, MDPI, volume 6, issue 4, pages 1-3, October.
• Loann David Denis Desboulets, 2018, "A Review on Variable Selection in Regression Analysis," Econometrics, MDPI, volume 6, issue 4, pages 1-27, November.
• Yukai Yang & Luc Bauwens, 2018, "State-Space Models on the Stiefel Manifold with a New Approach to Nonlinear Filtering," Econometrics, MDPI, volume 6, issue 4, pages 1-22, December.
• Claudia Noumedem Temgoua, 2018, "Highly skilled migration and the internationalization of knowledge," Cahiers du GREThA (2007-2019), Groupe de Recherche en Economie Théorique et Appliquée (GREThA), number 2018-16.
• Dr. Ulrike Lehr & Dr. Christian Lutz & Lisa Becker, 2018, "Zur Berechnung der durch den Ausbau erneuerbarer Energien und durch Energieeffizienz verminderten Importe fossiler Brenn- und Kraftstoffe – Methode und Ergebnisse für die Jahre 2000 bis 2015," GWS Research Report Series, GWS - Institute of Economic Structures Research, number 18-3.
• Russell Davidson, 2018, "Statistical Inference on the Canadian Middle Class," Post-Print, HAL, number hal-01793196, Mar, DOI: 10.3390/econometrics6010014.
• Tareq Sadeq & Michel Lubrano, 2018, "The Wall’s Impact in the Occupied West Bank: A Bayesian Approach to Poverty Dynamics Using Repeated Cross-Sections," Post-Print, HAL, number hal-01840598, Jun, DOI: 10.3390/econometrics6020029.
• Loann David Denis Desboulets, 2018, "A Review on Variable Selection in Regression Analysis," Post-Print, HAL, number hal-01954386, Nov, DOI: 10.3390/econometrics6040045.
• Gilles Dufrénot & Fredj Jawadi & Alexander Mihailov, 2018, "Recent developments in macro-econometric modeling: theory and applications," Post-Print, HAL, number hal-01978664, May, DOI: 10.3390/econometrics6020025.
• Martin Biewen & Emmanuel Flachaire, 2018, "Econometrics and Income Inequality," Post-Print, HAL, number hal-01978673, Dec, DOI: 10.3390/econometrics6040042.
• Martin Biewen & Emmanuel Flachaire, 2018, "Econometrics and Income Inequality," Post-Print, HAL, number hal-01986526.
• Ernest Miguélez, 2018, "Inventor diasporas and the internationalization of technology," Post-Print, HAL, number hal-03125171, DOI: 10.1093/wber/lhw013.
• Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018, "Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Post-Print, HAL, number halshs-04250160, Jun, DOI: 10.1007/s10614-017-9664-x.
• Katharina Glass, 2018, "Predictability of Euro Area Revisions," Macroeconomics and Finance Series, University of Hamburg, Department of Socioeconomics, number 201801, Jan.
• Milena Lopreite & Michelangelo Puliga & Massimo Riccaboni, 2018, "The Global Health Networks: A Comparative Analysis of Tuberculosis, Malaria and Pneumonia Using Social Media Data," Working Papers, IMT School for Advanced Studies Lucca, number 01/2018, Jan, revised Jan 2018.
• Peter Geczy, 2018, "Data-Oriented Business Models: Gaining Competitive Advantage," Global Journal of Business Research, The Institute for Business and Finance Research, volume 12, issue 2, pages 25-36.
• Bollinger, Christopher R. & Hirsch, Barry & Hokayem, Charles M. & Ziliak, James P., 2018, "Trouble in the Tails? What We Know about Earnings Nonresponse Thirty Years after Lillard, Smith, and Welch," IZA Discussion Papers, IZA Network @ LISER, number 11710, Jul.
• Jonathan Hersh & Matthew Harding, 2018, "Big Data in economics," IZA World of Labor, Institute of Labor Economics (IZA), pages 451-451, September.
• Paarsch Harry J. & Schmedders Karl, 2018, "Introduction: Einführung," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, volume 238, issue 3-4, pages 183-187, July, DOI: 10.1515/jbnst-2018-0028.
• Golyaev Konstantin, 2018, "Randomization in Online Experiments," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, volume 238, issue 3-4, pages 223-241, July, DOI: 10.1515/jbnst-2018-0006.
• Ansel Jason & Hong Han & Jessie Li and, 2018, "OLS and 2SLS in Randomized and Conditionally Randomized Experiments," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, volume 238, issue 3-4, pages 243-293, July, DOI: 10.1515/jbnst-2018-0016.
• Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018, "Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Computational Economics, Springer;Society for Computational Economics, volume 52, issue 1, pages 105-121, June, DOI: 10.1007/s10614-017-9664-x.
• Bangzhu Zhu & Shujiao Ma & Rui Xie & Julien Chevallier & Yi-Ming Wei, 2018, "Erratum to: Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market," Computational Economics, Springer;Society for Computational Economics, volume 52, issue 1, pages 123-123, June, DOI: 10.1007/s10614-017-9679-3.
• André Sabino & Pedro Poseiro & Armanda Rodrigues & Maria Teresa Reis & Conceição J. Fortes & Rui Reis & João Araújo, 2018, "Coastal risk forecast system," Journal of Geographical Systems, Springer, volume 20, issue 2, pages 159-184, April, DOI: 10.1007/s10109-018-0266-5.
• Arnaud Adam & Jean-Charles Delvenne & Isabelle Thomas, 2018, "Detecting communities with the multi-scale Louvain method: robustness test on the metropolitan area of Brussels," Journal of Geographical Systems, Springer, volume 20, issue 4, pages 363-386, October, DOI: 10.1007/s10109-018-0279-0.
• András Fülöp & Zalán Kocsis, 2018, "News- Based Indices on Country Fundamentals: Do They Help Explain Sovereign Credit Spread Fluctuations?," MNB Working Papers, Magyar Nemzeti Bank (Central Bank of Hungary), number 2018/1.
• Emily Breza & Arun G. Chandrasekhar & Alireza Tahbaz-Salehi, 2018, "Seeing the Forest for the Trees? An Investigation of Network Knowledge," NBER Working Papers, National Bureau of Economic Research, Inc, number 24359, Feb.
• Akina Ikudo & Julia Lane & Joseph Staudt & Bruce Weinberg, 2018, "Occupational Classifications: A Machine Learning Approach," NBER Working Papers, National Bureau of Economic Research, Inc, number 24951, Aug.
• Philippe Tassi, 2018, "Introduction – The Contributions of Big Data," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 505-506, pages 5-15, DOI: https://doi.org/10.24187/ecostat.20.
• Nikolay Krushkov, 2018, "Identifying and Managing Protected Information Types in Information Society," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 3, pages 311-324, September.