Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ C: Mathematical and Quantitative Methods
/ / C4: Econometric and Statistical Methods: Special Topics
/ / / C49: Other

2025

• Jan Fałkowski & Jacek Lewkowicz & Łukasz Nawaro, 2025, "Political Debate about Economic Issues: Some Insights from the Polish Parliament, 1991–2019," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 3, pages 313-331.
• Gáti, Laura & Handlan, Amy, 2025, "Reputation for Confidence," Working Paper Series, European Central Bank, number 3141, Nov.
• Grobys, Klaus & Junttila, Juha-Pekka & Kolari, James W., 2025, "A stablecoin that’s actually stable: A portfolio optimization approach," Journal of Financial Stability, Elsevier, volume 81, issue C, DOI: 10.1016/j.jfs.2025.101458.
• Ensminger, Jean & Leder-Luis, Jetson, 2025, "Detecting Corruption: Evidence from a World Bank project in Kenya," World Development, Elsevier, volume 188, issue C, DOI: 10.1016/j.worlddev.2024.106858.
• Paul E. Soto, 2025, "Research in Commotion: Measuring AI Research and Development through Conference Call Transcripts," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2025-011, Feb, DOI: 10.17016/FEDS.2025.011.
• Martina Dattilo & Fabio Padovano, 2025, "The cycles of decrees: evidence from the Italian Parliament," Post-Print, HAL, number hal-04933007, DOI: 10.1007/s10657-024-09831-x.
• Fabio Padovano & Youssoufa Sy, 2025, "Decentralization, politics and political legislation cycles: a test on Italian regions," Post-Print, HAL, number hal-05419337, DOI: 10.1007/s10657-025-09861-z.
• Fabio Padovano & Youssoufa Sy, 2025, "Conditional political legislation cycles," Post-Print, HAL, number hal-05423986, Oct, DOI: 10.1016/j.irle.2025.106305.
• Emile du Plessis, 2025, "Can Text-Based Statistical Models Reveal Impending Banking Crises?," Computational Economics, Springer;Society for Computational Economics, volume 65, issue 3, pages 1265-1298, March, DOI: 10.1007/s10614-024-10594-5.
• Martina Dattilo & Fabio Padovano, 2025, "The cycles of decrees: evidence from the Italian Parliament," European Journal of Law and Economics, Springer, volume 59, issue 1, pages 133-178, February, DOI: 10.1007/s10657-024-09831-x.
• Fabio Padovano & Youssoufa Sy, 2025, "Decentralization, politics and political legislation cycles: a test on Italian regions," European Journal of Law and Economics, Springer, volume 60, issue 3, pages 443-482, December, DOI: 10.1007/s10657-025-09861-z.
• Yuya Sasaki & Ariell Zimran, 2025, "Using Discrepancies to Correct for False Matches in Historical Linked Data," NBER Working Papers, National Bureau of Economic Research, Inc, number 33881, May.
• Zaghum Umar & Mariya Gubareva & Tamara Teplova & Wafa Alwahedi, 2025, "Oil price shocks and the term structure of the US yield curve: a time–frequency analysis of spillovers and risk transmission," Annals of Operations Research, Springer, volume 352, issue 3, pages 363-387, September, DOI: 10.1007/s10479-022-04786-1.
• Muhammad Ali Faisal & Murat Donduran, 2025, "A Two-Stage Analysis of Interaction Between Stock and Exchange Rate Markets: Evidence from Turkey," Annals of Data Science, Springer, volume 12, issue 1, pages 171-198, February, DOI: 10.1007/s40745-024-00547-y.
• Jingjing Lyu & Bernd Süssmuth, 2025, "Global linkages across sectors and frequency bands: a band spectral panel regression approach," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), volume 161, issue 4, pages 1421-1462, November, DOI: 10.1007/s10290-025-00590-8.
• Muhammad Farooq & Ayesha Ayesha & Ahtasham Gul, 2025, "Forecasting the Future: Neural Networks vs. Time Series in Pakistan’s CPI," Economic Research Guardian, Mutascu Publishing, volume 15, issue 2, pages 219-231, December.
• Dück, Alexander & Verona, Fabio, 2025, "Beyond one-size-fits-all: Designing monetary policy for diverse models and frequencies," Bank of Finland Research Discussion Papers, Bank of Finland, number 2/2025.

2024

• Giani Ionel Gradinaru & Vasile Dinu & Catalin-Laurentiu Rotaru & Andreea Toma, 2024, "The Development of Educational Competences for Romanian Students in the Context of the Evolution of Data Science and Artificial Intelligence," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 26, issue 65, pages 1-14, February.
• Natalya O. Chistyakova & Alexander A. Mikhalchuk & Ekaterina A. Akerman & Yulia S. Bocharova, 2024, "Exploring the role of interregional technological cooperation in macro-regional spatial and innovation development," R-Economy, Ural Federal University, Graduate School of Economics and Management, volume 10, issue 2, pages 205-226, DOI: https://doi.org/10.15826/recon.2024.
• Matea Matic Sosic & Katija Vojvodic & Tea Brajkovic, 2024, "User Activities On Social Media: Application Of Smma Measurement Scale," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, volume 33, issue 2, pages 467-482, December, DOI: 10.17818/EMIP/2024/2.6.
• Mahali Kamel, 2024, "Estimation of the Departmental Female Employment Rate: Towards a New Strategy Based on Combining Spatial and Non-spatial Small Area Estimators," Statistics, Politics and Policy, De Gruyter, volume 15, issue 1, pages 19-46, March, DOI: 10.1515/spp-2023-0023.
• Jingjing Lyu & Bernd Süssmuth, 2024, "Global Linkages across Sectors and Frequency Bands: A Band Spectral Panel Regression Approach," CESifo Working Paper Series, CESifo, number 10970.
• Didier Sornette & Ran Wei, 2024, "Multiple Outlier Detection in Samples with Exponential & Pareto Tails," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 24-48, Sep.
• Gáti, Laura & Handlan, Amy, 2024, "Monetary Communication Rules," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18730, Jan.
• Iskren Tairov & Nadezhda Stefanova & Aleksandrina Aleksandrova, 2024, "Artificial Intelligence Application in Human Resources Management," Business Management, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 3 Year 20, pages 72-88.
• Mundra, Sruti & Bicchal, Motilal, 2024, "Financial cycle comovement with monetary and macroprudential policy and global factors: Evidence from India," The North American Journal of Economics and Finance, Elsevier, volume 71, issue C, DOI: 10.1016/j.najef.2024.102120.
• Haas, Christian & Budin, Constantin & d’Arcy, Anne, 2024, "How to select oil price prediction models — The effect of statistical and financial performance metrics and sentiment scores," Energy Economics, Elsevier, volume 133, issue C, DOI: 10.1016/j.eneco.2024.107466.
• Carpenter, Jeffrey & Robbett, Andrea, 2024, "Measuring socially appropriate social preferences," Games and Economic Behavior, Elsevier, volume 147, issue C, pages 517-532, DOI: 10.1016/j.geb.2024.08.003.
• Furukawa, Kakuho & Hisano, Ryohei & Minoura, Yukio & Yagi, Tomoyuki, 2024, "A nowcasting model of industrial production using alternative data and machine learning approaches," Japan and the World Economy, Elsevier, volume 71, issue C, DOI: 10.1016/j.japwor.2024.101271.
• Matsumura, Kohei & Oh, Yusuke & Sugo, Tomohiro & Takahashi, Koji, 2024, "Nowcasting economic activity with mobility data," Journal of the Japanese and International Economies, Elsevier, volume 73, issue C, DOI: 10.1016/j.jjie.2024.101327.
• Jiang, Yanhui & Qu, Bo & Hong, Yun & Xiao, Xiyue, 2024, "Dynamic connectedness of inflation around the world: A time-varying approach from G7 and E7 countries," The Quarterly Review of Economics and Finance, Elsevier, volume 95, issue C, pages 111-125, DOI: 10.1016/j.qref.2024.03.006.
• du Plessis, Emile, 2024, "Reading between the lines: Quantitative text analysis of banking crises," Research in Economics, Elsevier, volume 78, issue 4, DOI: 10.1016/j.rie.2024.101000.
• Andreani, Michele & Giri, Federico, 2024, "Mortgages, house prices, and business cycle dynamic: A medium-run exploration using the continuous wavelet transform," International Review of Economics & Finance, Elsevier, volume 94, issue C, DOI: 10.1016/j.iref.2024.103380.
• Boris van Leeuwen & Ingela Alger, 2024, "Estimating Social Preferences and Kantian Morality in Strategic Interactions," Post-Print, HAL, number hal-04840937, Nov, DOI: 10.1086/732125.
• Alexandra-Maria CONSTANTIN & Orlando-Marian VOICA, 2024, "Romania's sustainable development prospects in the post-pandemic period," Romanian Journal of Economics, Institute of National Economy, volume 58, issue 1(67), pages 75-83, June.
• Marija Hruska & Mirjana Cizmesija, 2024, "Traditional or social media: which capture employment better?," Public Sector Economics, Institute of Public Finance, volume 48, issue 4, pages 399-419, DOI: 10.3326/pse.48.4.2.
• Stella Ada Mbah & Osmond Chigozie Agu, 2024, "The Efficiency and Firm Performance Analysis of Nigeria Manufacturing Firms: Application of Stochastic Frontier Analysis Technique," Journal of Developing Areas, Tennessee State University, College of Business, volume 58, issue 1, pages 221-235, January–M.
• Yamin Ahmad & Adam Check & Ming Chien Lo, 2024, "Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches," Computational Economics, Springer;Society for Computational Economics, volume 63, issue 6, pages 2139-2173, June, DOI: 10.1007/s10614-023-10397-0.
• Albina Latifi & David Lenz & Peter Winker, 2024, "Identification of Innovation Drivers Based on Technology-Related News Articles," MAGKS Papers on Economics, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung), number 202401, Jan.
• Tomasz Kopczewski & Łukasz Bil, 2024, "Exploring stock markets dynamics: a two-dimensional entropy approach in return/volume space," Bank i Kredyt, Narodowy Bank Polski, volume 55, issue 6, pages 731-758.
• Tsvetan Stalev, 2024, "Structural Effects of Differences in the Number of Beds in Hospitals across Different Regions for Individual Years during the 2008-2021 Period on Some Performance Indicators," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 49-60, June.
• Makoto Sakuma & Kazushi Matsuo & Morito Tsutsumi & Toyokazu Imazeki, 2024, "Measuring office attendance during the COVID-19 pandemic with mobility data to quantify local trends and characteristics," Asia-Pacific Journal of Regional Science, Springer, volume 8, issue 1, pages 185-237, March, DOI: 10.1007/s41685-023-00324-4.
• Atushi Ishikawa & Shouji Fujimoto & Takayuki Mizuno, 2024, "Statistical laws observed in earthquakes using mesh statistics: an econophysical point of view," Evolutionary and Institutional Economics Review, Springer, volume 21, issue 2, pages 203-216, September, DOI: 10.1007/s40844-023-00255-x.
• Patrick M. Crowley & David Hudgins, 2024, "The impact of US productivity growth on unemployment in the time–frequency domain: is AI causing a change in the relationship?," Empirical Economics, Springer, volume 66, issue 5, pages 2169-2190, May, DOI: 10.1007/s00181-023-02510-x.
• Karlo Kauko, 2024, "How to detect what drives deviations from Benford’s law? An application to bank deposit data," Empirical Economics, Springer, volume 67, issue 3, pages 1045-1061, September, DOI: 10.1007/s00181-024-02576-1.
• Glauco Vita & Sailesh Tanna & Yun Luo, 2024, "How consistent are measures of financial liberalization in assessing its impact on bank cost efficiency? A cross–country empirical analysis," Journal of Business Economics, Springer, volume 94, issue 9, pages 1169-1199, November, DOI: 10.1007/s11573-024-01195-7.
• Edith Johana Medina-Hernández & María José Fernández-Gómez, 2024, "Multi-way Analysis of the Gender Dimension of the Sustainable Development Goals," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, volume 172, issue 2, pages 517-541, March, DOI: 10.1007/s11205-023-03273-9.
• Boris van Leeuwen & Ingela Alger, 2024, "Estimating Social Preferences and Kantian Morality in Strategic Interactions," Journal of Political Economy Microeconomics, University of Chicago Press, volume 2, issue 4, pages 665-706, DOI: 10.1086/732125.
• Katharina Fenz & Thomas Mitterling & Arturo M. Martinez & Joseph Albert Nino M. Bulan & Ron Lester S. Durante & Marymell A. Martillan & Mildred B. Addawe & Isabell Roitner-Fransecky, 2024, "Compiling Granular Population Data Using Geospatial Information," Asian Development Review (ADR), World Scientific Publishing Co. Pte. Ltd., volume 41, issue 01, pages 263-300, March, DOI: 10.1142/S0116110524500021.
• Bettio, Francesca & Tavares, Fernando Flores & Ticci, Elisa, 2024, "Intimate partner violence during lockdown in Tuscany, Italy: economic shock or confinement-related stressors?," GLO Discussion Paper Series, Global Labor Organization (GLO), number 1507.
• Latifi, Albina & Winker, Peter & Lenz, David, 2024, "Identification of innovation drivers based on technology-related news articles," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges, Verein für Socialpolitik / German Economic Association, number 302371.

2023

• Ryuichiro Hashimoto & Kakeru Miura & Yasunori Yoshizaki, 2023, "Application of Machine Learning to a Credit Rating Classification Model: Techniques for Improving the Explainability of Machine Learning," Bank of Japan Working Paper Series, Bank of Japan, number 23-E-6, Apr.
• Ernst Fehr & Thomas Epper & Julien Senn, 2023, "The Fundamental Properties, Stability and Predictive Power of Distributional Preferences," CESifo Working Paper Series, CESifo, number 10727.
• Hamdy Ahmad Aly Alhendawy & Mohammed Galal Abdallah Mostafa & Mohamed Ibrahim Elgohari & Ibrahim Abdalla Abdelraouf Mohamed & Nabil Medhat Arafat Mahmoud & Mohamed Ahmed Mohamed Mater, 2023, "Determinants of Renewable Energy Production in Egypt New Approach: Machine Learning Algorithms," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 6, pages 679-689, November.
• Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2023, "The Phillips curve at 65: Time for time and frequency," Journal of Economic Dynamics and Control, Elsevier, volume 151, issue C, DOI: 10.1016/j.jedc.2023.104620.
• Alexopoulos, Angelos & Varthalitis, Petros, 2023, "A machine learning approach to construct quarterly data on intangible investment for Eurozone," Economics Letters, Elsevier, volume 231, issue C, DOI: 10.1016/j.econlet.2023.111307.
• Konstantinidi, Antri & Kourtellos, Andros & Sun, Yiguo, 2023, "Social threshold regression," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 2057-2081, DOI: 10.1016/j.jeconom.2023.02.010.
• Gadzinski, Gregory & Castello, Alessio & Mazzorana, Florie, 2023, "Stablecoins: Does design affect stability?," Finance Research Letters, Elsevier, volume 53, issue C, DOI: 10.1016/j.frl.2022.103611.
• Pontines, Victor & Rummel, Ole, 2023, "LIBOR meets machine learning: A Lasso regression approach to detecting data irregularities," Finance Research Letters, Elsevier, volume 55, issue PA, DOI: 10.1016/j.frl.2023.103852.
• De Nicola, Giacomo & Fritz, Cornelius & Mehrl, Marius & Kauermann, Göran, 2023, "Dependence matters: Statistical models to identify the drivers of tie formation in economic networks," Journal of Economic Behavior & Organization, Elsevier, volume 215, issue C, pages 351-363, DOI: 10.1016/j.jebo.2023.09.021.
• Liu, Ding & Sun, Weihong & Xu, Liao & Zhang, Xuan, 2023, "Time-frequency relationship between economic policy uncertainty and financial cycle in China: Evidence from wavelet analysis," Pacific-Basin Finance Journal, Elsevier, volume 77, issue C, DOI: 10.1016/j.pacfin.2022.101915.
• Pirayesh Neghab, Davood & Bradrania, Reza & Elliott, Robert, 2023, "Deliberate premarket underpricing: New evidence on IPO pricing using machine learning," International Review of Economics & Finance, Elsevier, volume 88, issue C, pages 902-927, DOI: 10.1016/j.iref.2023.07.008.
• Luiz Eduardo Gaio & Daniel Henrique Dario Capitani, 2023, "Multifractal cross-correlation analysis between crude oil and agricultural futures markets: evidence from Russia–Ukraine conflict," Journal of Agribusiness in Developing and Emerging Economies, Emerald Group Publishing Limited, volume 15, issue 1, pages 19-42, May, DOI: 10.1108/JADEE-11-2022-0252.
• Murat Donduran & Muhammad Ali Faisal, 2023, "Measuring the degree of connection between currency futures: Empirical dive into higher moments," Studies in Economics and Finance, Emerald Group Publishing Limited, volume 41, issue 2, pages 335-364, December, DOI: 10.1108/SEF-08-2022-0408.
• Ernst Fehr & Thomas Epper & Julien Senn, 2023, "The Fundamental Properties, Stability and Predictive Power of Distributional Preferences," Working Papers, HAL, number hal-04362824, Dec.
• Marco Fattore & Stefania M.L. Rimoldi, 2023, "Effects of the Covid Pandemic on the Economic Vulnerability of Italian Society," Hacienda Pública Española / Review of Public Economics, IEF, volume 247, issue 4, pages 37-68, December.
• Ernst Fehr & Thomas Epper & Julien Senn, 2023, "The Fundamental Properties, Stability and Predictive Power of Distributional Preferences," Working Papers, IESEG School of Management, number 2023-iRisk-07, Dec.
• Fehr, Ernst & Epper, Thomas & Senn, Julien, 2023, "The Fundamental Properties, Stability and Predictive Power of Distributional Preferences," IZA Discussion Papers, Institute of Labor Economics (IZA), number 16535, Oct.
• Dalia Mansour-Ibrahim, 2023, "Are the Eurozone Financial and Business Cycles Convergent Across Time and Frequency?," Computational Economics, Springer;Society for Computational Economics, volume 61, issue 1, pages 389-427, January, DOI: 10.1007/s10614-021-10212-8.
• Sophie Cêtre & Max Lobeck, 2023, "Principal’s distributive preferences and the incentivization of agents," Experimental Economics, Springer;Economic Science Association, volume 26, issue 3, pages 646-672, July, DOI: 10.1007/s10683-023-09791-0.
• Gaëtan Montero & Geoffrey Caruso & Mohamed Hilal & Isabelle Thomas, 2023, "A partition-free spatial clustering that preserves topology: application to built-up density," Journal of Geographical Systems, Springer, volume 25, issue 1, pages 5-35, January, DOI: 10.1007/s10109-022-00396-4.
• Gelei, Andrea & Fodor, Szabina & Ternai, Katalin, 2023, "Az ipar 4.0 felkészültség értékelési rendszere a témamodellezés segítségével - középpontban a kis- és középvállalatok
  [Developing a framework for Industry 4.0 readiness assessment through topic mod," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), volume 0, issue 11, pages 1230-1260, DOI: 10.18414/KSZ.2023.11.1230.
• Saleh Taheri Bazkhaneh, 2023, "Monetary Policy and MacroEconomic Uncertainties in Iran: an Empirical Approach with Time-Frequency Analysis," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, volume 10, issue 3, pages 137-172.
• Mitch Kunce, 2023, "Unemployment and Suicide in the United States: The Import of Addressing Cross-Sectional Dependence," Bulletin of Applied Economics, Risk Market Journals, volume 10, issue 1, pages 1-19.
• Diego Andres Cardoso Lopez & Jesus Antonio Lopez Cabrera, 2023, "Estimacion de la Ley de Okun para Mexico al nivel estatal y por tamano de localidad," Sobre México. Revista de Economía, Sobre México. Temas en economía, volume 1, issue 7, pages 36-83.
• Ioannis Chalkiadakis & Gareth W. Peters & Matthew Ames, 2023, "Hybrid ARDL-MIDAS-Transformer time-series regressions for multi-topic crypto market sentiment driven by price and technology factors," Digital Finance, Springer, volume 5, issue 2, pages 295-365, June, DOI: 10.1007/s42521-023-00079-9.
• Weider Loureto Alves & Roberto Tatiwa Ferreira, 2023, "Phillips curve and the exchange rate pass-through: a time–frequency approach," Empirical Economics, Springer, volume 64, issue 5, pages 2165-2181, May, DOI: 10.1007/s00181-022-02317-2.
• Fabio Padovano & Youssoufa Sy, 2023, "Conditional Political legislation cycles," Economics Working Paper from Condorcet Center for political Economy at CREM-CNRS, Condorcet Center for political Economy, number 2023-02-ccr, Nov.
• Kiselev Sergei & Samsonov Valery & Seitov Sanat & Filimonov Ilya, 2023, "Assessment of the contribution of the unobserved economy to the macroeconomic indicators of the regions of the Russian Federation," Working Papers, Moscow State University, Faculty of Economics, number 0051, Feb.
• Dück, Alexander & Verona, Fabio, 2023, "Monetary policy rules: model uncertainty meets design limits," Bank of Finland Research Discussion Papers, Bank of Finland, number 12/2023.
• Dück, Alexander & Verona, Fabio, 2023, "Robust frequency-based monetary policy rules," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 180.
• Winker, Peter, 2023, "Visualizing Topic Uncertainty in Topic Modelling," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage", Verein für Socialpolitik / German Economic Association, number 277584.
• Ernst Fehr & Thomas Epper & Julien Senn, 2023, "The fundamental properties, stability and predictive power of distributional preferences," ECON - Working Papers, Department of Economics - University of Zurich, number 439, Oct.

2022

• Dominguez, Alvaro & Sakamoto, Hiroshi, 2022, "Re-Examining the Convergence of the World Economy: Markov Chain Model with Population Weighting," AGI Working Paper Series, Asian Growth Research Institute, number 2022-02, Feb.
• Dominguez, Alvaro & Sakamoto, Hiroshi, 2022, "Irregular Economic Growth in the World Economy: Fluctuations of Ergodic Distributions through a Markov Chain Model," AGI Working Paper Series, Asian Growth Research Institute, number 2022-03, Feb.
• Mastromarco, Camilla & Simar, Léopold & Van Keilegom, Ingrid, 2022, "Estimating Nonparametric Conditional Frontiers and Efficiencies: A New Approach," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2022035, Nov.
• Vincenzina Caputo & Riccardo Scarpa, 2022, "Methodological Advances in Food Choice Experiments and Modeling: Current Practices, Challenges, and Future Research Directions," Annual Review of Resource Economics, Annual Reviews, volume 14, issue 1, pages 63-90, October, DOI: 10.1146/annurev-resource-111820-023.
• Liubov Bila-Tiunova & Natalia Panova & Yevheniia Frolova, 2022, "Encouragement As A Method Of Managing Social Relations: Applied Significance In Public Service," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", volume 8, issue 3, DOI: 10.30525/2256-0742/2022-8-3-20-26.
• Anneke Kosse & Zhentong Lu, 2022, "Transmission of Cyber Risk Through the Canadian Wholesale Payment System," Staff Working Papers, Bank of Canada, number 22-23, May, DOI: 10.34989/swp-2022-23.
• Kakuho Furukawa & Ryohei Hisano & Yukio Minoura & Tomoyuki Yagi, 2022, "A Nowcasting Model of Industrial Production using Alternative Data and Machine Learning Approaches," Bank of Japan Working Paper Series, Bank of Japan, number 22-E-16, Nov.
• Kakuho Furukawa & Ryohei Hisano, 2022, "A Nowcasting Model of Exports Using Maritime Big Data," Bank of Japan Working Paper Series, Bank of Japan, number 22-E-19, Dec.
• Haushofer, Johannes & Niehaus, Paul & Paramo, Carlos & Miguel, Edward & Walker, Michael W, 2022, "Targeting Impact Versus Deprivation," Department of Economics, Working Paper Series, Department of Economics, Institute for Business and Economic Research, UC Berkeley, number qt07j8n9vz, Jan.
• Montero, Gaëtan & Caruso, Geoffrey & Hilal, Mohamed & Thomas, Isabelle, 2022, "A partition‐free spatial clustering that preserves topology: application to built‐up density," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 3210, Oct, DOI: https://doi.org/10.1007/s10109-022-.
• Gáti, Laura & Handlan, Amy, 2022, "Monetary communication rules," Working Paper Series, European Central Bank, number 2759, Dec.
• Liddle, Brantley & Parker, Steven, 2022, "One more for the road: Reconsidering whether OECD gasoline income and price elasticities have changed over time," Energy Economics, Elsevier, volume 114, issue C, DOI: 10.1016/j.eneco.2022.106280.
• Fang, Ming & Taylor, Stephen & Uddin, Ajim, 2022, "The network structure of overnight index swap rates," Finance Research Letters, Elsevier, volume 46, issue PB, DOI: 10.1016/j.frl.2021.102425.
• Kilponen, Juha & Verona, Fabio, 2022, "Investment dynamics and forecast: Mind the frequency," Finance Research Letters, Elsevier, volume 49, issue C, DOI: 10.1016/j.frl.2022.103075.
• Gaio, Luiz Eduardo & Stefanelli, Nelson Oliveira & Pimenta, Tabajara & Bonacim, Carlos Alberto Grespan & Gatsios, Rafael Confetti, 2022, "The impact of the Russia-Ukraine conflict on market efficiency: Evidence for the developed stock market," Finance Research Letters, Elsevier, volume 50, issue C, DOI: 10.1016/j.frl.2022.103302.
• Ferrari, A. & Tran, V.H.T., 2022, "Helping or hampering banks competition? The Asian experience after the Asian financial crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 76, issue C, DOI: 10.1016/j.intfin.2021.101486.
• Klockmann, Victor & von Schenk, Alicia & Villeval, Marie Claire, 2022, "Artificial intelligence, ethics, and intergenerational responsibility," Journal of Economic Behavior & Organization, Elsevier, volume 203, issue C, pages 284-317, DOI: 10.1016/j.jebo.2022.09.010.
• Hathroubi, Salem & Aloui, Chaker, 2022, "Oil price dynamics and fiscal policy cyclicality in Saudi Arabia: New evidence from partial and multiple wavelet coherences," The Quarterly Review of Economics and Finance, Elsevier, volume 85, issue C, pages 149-160, DOI: 10.1016/j.qref.2020.12.002.
• Chaudhry, Sajid M. & Ahmed, Rizwan & Huynh, Toan Luu Duc & Benjasak, Chonlakan, 2022, "Tail risk and systemic risk of finance and technology (FinTech) firms," Technological Forecasting and Social Change, Elsevier, volume 174, issue C, DOI: 10.1016/j.techfore.2021.121191.
• Megha Jain & Simrit Kaur, 2022, "Carbon emissions, inequalities and economic freedom: an empirical investigation in selected South Asian economies," International Journal of Social Economics, Emerald Group Publishing Limited, volume 49, issue 6, pages 882-913, April, DOI: 10.1108/IJSE-02-2021-0108.
• Desta Bati Nuno, 2022, "Analysis of the Causal Relationship between Precious Metal Prices and Inflation: Evidence from Ethiopia," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), volume 0, issue 1, pages 77-88.
• Victor Klockmann & Alicia von Schenk & Marie Claire Villeval, 2022, "Artificial Intelligence, Ethics, and Intergenerational Responsibility," Post-Print, HAL, number hal-03778525, Nov, DOI: 10.1016/j.jebo.2022.09.010.
• Karlsson, Niklas & Lunander, Anders, 2022, "The Strategic Jump - The Order Effect on Winning “The Final Three” in Long Jump Competitions," Working Papers, Örebro University, School of Business, number 2022:8, Apr.
• Carpenter, Jeffrey P. & Robbett, Andrea, 2022, "Measuring Socially Appropriate Social Preferences," IZA Discussion Papers, Institute of Labor Economics (IZA), number 15590, Sep.
• Bystrov Victor & Naboka Viktoriia & Staszewska-Bystrova Anna & Winker Peter, 2022, "Cross-Corpora Comparisons of Topics and Topic Trends," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, volume 242, issue 4, pages 433-469, August, DOI: 10.1515/jbnst-2022-0024.
• Adrian Bruhin & Maha Manai & Luís Santos-Pinto, 2022, "Risk and rationality: The relative importance of probability weighting and choice set dependence," Journal of Risk and Uncertainty, Springer, volume 65, issue 2, pages 139-184, October, DOI: 10.1007/s11166-022-09392-x.
• Johannes Haushofer & Paul Niehaus & Carlos Paramo & Edward Miguel & Michael W. Walker, 2022, "Targeting Impact versus Deprivation," NBER Working Papers, National Bureau of Economic Research, Inc, number 30138, Jun.
• Jean Ensminger & Jetson Leder-Luis, 2022, "Detecting Fraud in Development Aid," NBER Working Papers, National Bureau of Economic Research, Inc, number 30768, Dec.
• Maja Kiba-Janiak & Katarzyna Cheba & Magdalena Mucowska & Leise Kelli de Oliveira, 2022, "Segmentation of e-customers in terms of sustainable last-mile delivery," Oeconomia Copernicana, Institute of Economic Research, volume 13, issue 4, pages 1117-1142, December, DOI: 10.24136/oc.2022.032.
• Ishita Ghoshal, 2022, "Cost-Push and Demand-Pull Inflation in India ? A Frequency Domain Analysis," Proceedings of Economics and Finance Conferences, International Institute of Social and Economic Sciences, number 13015641, Jul.
• Katarzyna Kopczewska, 2022, "Spatial machine learning: new opportunities for regional science," The Annals of Regional Science, Springer;Western Regional Science Association, volume 68, issue 3, pages 713-755, June, DOI: 10.1007/s00168-021-01101-x.
• João Martins, 2022, "Bond Yields Movement Similarities and Synchronization in the G7: A Time–Frequency Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 18, issue 2, pages 189-214, July, DOI: 10.1007/s41549-022-00068-8.
• Mitch Kunce, 2022, "The Tenuous Ecological Divorce and Unemployment Link with Suicide: A U.S. Panel Analysis 1968-2020," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, volume 11, issue 3, pages 1-2.
• Klockmann, Victor & von Schenk, Alicia & Villeval, Marie-Claire, 2022, "Artificial intelligence, ethics, and intergenerational responsibility," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 335, DOI: 10.2139/ssrn.4002578.
• Klockmann, Victor & von Schenk, Alicia & Villeval, Marie-Claire, 2022, "Artificial intelligence, ethics, and diffused pivotality," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 336, DOI: 10.2139/ssrn.4003065.

2021

• Aditya Chakraborty & Chris P. Tsokos, 2021, "A Real Data-Driven Clustering Approach for Countries Based on Happiness Score," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 23, issue Special15, pages 1031-1031, November.
• T. Carraro & Edoardo Gaffeo & Marco Gallegati, 2021, "Risk and Strategic Complementarities: Banks Behavior, Supervision and Macroprudential Policies," Working Papers, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali, number 452, Mar.
• Ani Stoykova, 2021, "Effect of the Application of IFRS 15: Evidence from Bulgaria," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 174-188.
• Meo Claudia, 2021, "An Entropy-Based Information Sharing Rule for Asymmetric Information Economies," The B.E. Journal of Theoretical Economics, De Gruyter, volume 21, issue 1, pages 315-346, January, DOI: 10.1515/bejte-2020-0018.
• Funashima Yoshito, 2021, "Time–Frequency Regression," Journal of Econometric Methods, De Gruyter, volume 10, issue 1, pages 21-32, January, DOI: 10.1515/jem-2019-0025.
• Berthonnaud, Pierre & Cesati, Enrico & Drudi, Maria Ludovica & Jager, Kirsten & Kick, Heinrich & Lanciani, Marcello & Schneider, Ludwig & Schwarz, Claudia & Siakoulis, Vasileios & Vroege, Robert, 2021, "Asset encumbrance in euro area banks: analysing trends, drivers and prediction properties for individual bank crises," Occasional Paper Series, European Central Bank, number 261, Aug.
• Kourtellos, Andros, 2021, "The Great Gatsby Curve in education with a kink," Economics Letters, Elsevier, volume 208, issue C, DOI: 10.1016/j.econlet.2021.110054.
• Grobys, Klaus & Junttila, Juha & Kolari, James W. & Sapkota, Niranjan, 2021, "On the stability of stablecoins," Journal of Empirical Finance, Elsevier, volume 64, issue C, pages 207-223, DOI: 10.1016/j.jempfin.2021.09.002.
• Elsayed, Ahmed H. & Hammoudeh, Shawkat & Sousa, Ricardo M., 2021, "Inflation synchronization among the G7and China: The important role of oil inflation," Energy Economics, Elsevier, volume 100, issue C, DOI: 10.1016/j.eneco.2021.105332.
• DIMA, Bogdan & DIMA, Ştefana Maria & IOAN, Roxana, 2021, "Remarks on the behaviour of financial market efficiency during the COVID-19 pandemic. The case of VIX," Finance Research Letters, Elsevier, volume 43, issue C, DOI: 10.1016/j.frl.2021.101967.
• Hippel, Svenja & Hoeppner, Sven, 2021, "Contracts as reference points: A replication," International Review of Law and Economics, Elsevier, volume 65, issue C, DOI: 10.1016/j.irle.2020.105973.
• Solarin, Sakiru Adebola & Gil-Alana, Luis A., 2021, "The persistence of economic policy uncertainty: Evidence of long range dependence," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 568, issue C, DOI: 10.1016/j.physa.2020.125698.
• Lagona, Francesco & Padovano, Fabio, 2021, "How does legislative behavior change when the country becomes democratic? The case of South Korea," European Journal of Political Economy, Elsevier, volume 69, issue C, DOI: 10.1016/j.ejpoleco.2021.102026.
• Huang, Yu-Lieh & Kuan, Chung-Ming, 2021, "Economic prediction with the FOMC minutes: An application of text mining," International Review of Economics & Finance, Elsevier, volume 71, issue C, pages 751-761, DOI: 10.1016/j.iref.2020.09.020.
• Germinal G. Van, 2021, "Property Rights and Economic Freedom," Journal of Economics and Econometrics, Economics and Econometrics Society, volume 64, issue 2, pages 24-39.
• Germinal G. Van, 2021, "An Econometric Analysis of the Impact of Structural Changes on the Aggregate Output of the United States," Journal of Economics and Econometrics, Economics and Econometrics Society, volume 64, issue 3, pages 17-36.
• Germinal G. Van, 2021, "An Econometric Analysis of the Impact of Structural Changes on the Aggregate Output of the United States," EERI Research Paper Series, Economics and Econometrics Research Institute (EERI), Brussels, number EERI RP 2021/04, Apr.
• Valentina Tocchioni & Marcantonio Caltabiano & Silvia Meggiolaro, 2021, "Diverse pathways in young Italians’ entrance into sexual life: The association with gender and birth cohort," Econometrics Working Papers Archive, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", number 2021_11, Jun.
• Victor Klockmann & Alicia von Schenk & Marie Claire Villeval, 2021, "Artificial Intelligence, Ethics, and Intergenerational Responsibility," Working Papers, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon, number 2110.
• Victor Klockmann & Alicia von Schenk & Marie Claire Villeval, 2021, "Artificial Intelligence, Ethics, and Diffused Pivotality," Working Papers, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon, number 2111.
• Fedor Zagumennov, 2021, "In-Firm Planning and Business Processes Management Using Deep Neural Networks," GATR Journals, Global Academy of Training and Research (GATR) Enterprise, number jber213, Dec, DOI: https://doi.org/10.35609/jber.2021..
• F. Lagona & Fabio Padovano, 2021, "How does legislative behavior change when the country becomes democratic? The case of South Korea," Post-Print, HAL, number hal-03225568, Sep, DOI: 10.1016/j.ejpoleco.2021.102026.
• Ingela Alger & Boris van Leeuwen, 2021, "Estimating Social Preferences and Kantian Morality in Strategic Interactions," Working Papers, HAL, number hal-03142431, Feb.
• Victor Klockmann & Alicia von Schenk & Marie Claire Villeval, 2021, "Artificial Intelligence, Ethics, and Intergenerational Responsibility," Working Papers, HAL, number halshs-03237437.
• Victor Klockmann & Alicia von Schenk & Marie Claire Villeval, 2021, "Artificial Intelligence, Ethics, and Diffused Pivotality," Working Papers, HAL, number halshs-03237453.
• Judith Jazmin Castro Pérez & José Eduardo Medina Reyes, 2021, "Fuzzy Portfolio Selection with Sugeno Type Fuzzy Neural Network: Investing in the Mexican Stock Market," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 16, issue TNEA, pages 1-25, Septiembr.
• Alessandra Ferrari & Vo Huyen Trang Tran, 2021, "Banking, transition and financial reforms: a long-term analysis of Vietnam," Journal of Banking Regulation, Palgrave Macmillan, volume 22, issue 1, pages 1-10, March, DOI: 10.1057/s41261-020-00123-3.
• Bruno Amable, 2021, "In search of the bloc bourgeois
  [À la recherche du bloc bourgeois]," Revue de la Régulation - Capitalisme, institutions, pouvoirs, Association Recherche et Régulation, volume 31, DOI: 10.4000/regulation.20350.
• Besma Hkiri & Juncal Cunado & Mehmet Balcilar & Rangan Gupta, 2021, "Time-varying relationship between conventional and unconventional monetary policies and risk aversion: international evidence from time- and frequency-domains," Empirical Economics, Springer, volume 61, issue 6, pages 2963-2983, December, DOI: 10.1007/s00181-020-02004-0.
• Jens J. Krüger, 2021, "A Wavelet Evaluation of Some Leading Business Cycle Indicators for the German Economy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 17, issue 3, pages 293-319, December, DOI: 10.1007/s41549-021-00060-8.
• Patrick M. Crowley & Andrew Hughes Hallett, 2021, "The Evolution of US and UK Real GDP Components in the Time-Frequency Domain: A Continuous Wavelet Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 17, issue 3, pages 233-261, December, DOI: 10.1007/s41549-021-00062-6.
• Juszczak Adam, 2021, "The use of web-scraped data to analyze the dynamics of footwear prices," Journal of Economics and Management, Sciendo, volume 43, issue 1, pages 251-269, May, DOI: 10.22367/jem.2021.43.12.
• Zygmunt Robert & Gaca Radosław, 2021, "Influence of Recreational, Landscape and Protective Functions on the Value of Forest, Wooded and Bushy Properties in Urbanized Areas on the Example of the Local Market of the City of Krakow," Real Estate Management and Valuation, Sciendo, volume 29, issue 4, pages 1-9, December, DOI: 10.2478/remav-2021-0025.
• Katarzyna Kopczewska, 2021, "Spatial Machine Learning – New Opportunities for Regional Science," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-16.
• Kenter, Magdalena & Bülow, Christian & Kennes, Lieven Nils, 2021, "Die Unternehmenslandschaft in Mecklenburg-Vorpommern im Vergleich zu anderen Regionen Deutschlands – Eine empirische Studie repräsentativer Landkreise aus allen 16 Bundesländern Deutschlands in Bezug ," SIMAT Arbeitspapiere, Hochschule Stralsund, Stralsund Information Management Team (SIMAT), number 13-21-040.
• Börschlein, Benjamin & Bossler, Mario, 2021, "A new machine learning-based treatment bite for long run minimum wage evaluations," VfS Annual Conference 2021 (Virtual Conference): Climate Economics, Verein für Socialpolitik / German Economic Association, number 242441.

2020

• Mikkel Bennedsen & Eric Hillebrand & Siem Jan Koopman, 2020, "A statistical model of the global carbon budget," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2020-18, Dec.
• Ștefania-Mihaela Ozun & Vladimir-Sergiu Bobleanță & Denis Braica, 2020, "Analysis Of The Correlation Between Profitability And Risk In The Metallurgical Romanian Industry," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, volume 2, issue 48, pages 64-75, December.
• Jorge De Andrés-Sánchez & Ángel Belzunegui-Eraso & Francesc Valls-Fonayet, 2020, "Pattern recognition in social expenditure and social expenditure performance in EU 28 countries," Acta Oeconomica, Akadémiai Kiadó, Hungary, volume 70, issue 1, pages 37-61, March, DOI: 10.1556/032.2020.00003.
• Adolfo Rodríguez-Vargas, 2020, "Forecasting Costa Rican Inflation with Machine Learning Methods," Documentos de Trabajo, Banco Central de Costa Rica, number 2002, Mar.
• Dimitris Korobilis & Davide Pettenuzzo, 2020, "Machine Learning Econometrics: Bayesian algorithms and methods," Papers, arXiv.org, number 2004.11486, Apr.
• Joseph Gerald Hirschberg & Jeanette Ngaire Lye, 2020, "Grading Journals In Economics: The Abcs Of The Abdc," Journal of Economic Surveys, Wiley Blackwell, volume 34, issue 4, pages 876-921, September, DOI: 10.1111/joes.12369.
• Dimitris Korobilis & Davide Pettenuzzo, 2020, "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers, Brandeis University, Department of Economics and International Business School, number 130, Apr.
• Christian Richter & Shampa Roy-Mukherjee, 2020, "On the Uncertainty Caused by the Referendum on Brexit," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, volume 66, issue 2, pages 145-164, DOI: 10.3790/aeq.66.2.145.
• Gilch, Alexandros & Lanz, Andreas & Müller, Philipp & Reich, Gregor, 2020, "Small Data': Efficient Inference with Occasionally Observed States," HEC Research Papers Series, HEC Paris, number 1380, Jul, DOI: 10.2139/ssrn.3638618.
• Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2020, "Okun’s Law across time and frequencies," Journal of Economic Dynamics and Control, Elsevier, volume 116, issue C, DOI: 10.1016/j.jedc.2020.103897.
• Yan, Chuanpeng & Huang, Kevin X.D., 2020, "Financial cycle and business cycle: An empirical analysis based on the data from the U.S," Economic Modelling, Elsevier, volume 93, issue C, pages 693-701, DOI: 10.1016/j.econmod.2020.01.018.
• Daouia, Abdelaati & Florens, Jean-Pierre & Simar, Léopold, 2020, "Robust frontier estimation from noisy data: A Tikhonov regularization approach," Econometrics and Statistics, Elsevier, volume 14, issue C, pages 1-23, DOI: 10.1016/j.ecosta.2018.07.003.
• Gundlach, Erich & Paldam, Martin, 2020, "A hump-shaped transitional growth path as a general pattern in long-run development," Economic Systems, Elsevier, volume 44, issue 3, DOI: 10.1016/j.ecosys.2020.100809.
• Yang, Boyu & Sun, Yuying & Wang, Shouyang, 2020, "A novel two-stage approach for cryptocurrency analysis," International Review of Financial Analysis, Elsevier, volume 72, issue C, DOI: 10.1016/j.irfa.2020.101567.
• Xue, Xindong & Reed, W. Robert & Menclova, Andrea, 2020, "Social capital and health: a meta-analysis," Journal of Health Economics, Elsevier, volume 72, issue C, DOI: 10.1016/j.jhealeco.2020.102317.
• Funashima, Yoshito, 2020, "Money stock versus monetary base in time–frequency exchange rate determination," Journal of International Money and Finance, Elsevier, volume 104, issue C, DOI: 10.1016/j.jimonfin.2020.102150.
• Rodríguez-Vargas, Adolfo, 2020, "Forecasting Costa Rican inflation with machine learning methods," Latin American Journal of Central Banking (previously Monetaria), Elsevier, volume 1, issue 1, DOI: 10.1016/j.latcb.2020.100012.
• Germinal G. Van, 2020, "Property Rights and Economic Freedom," EERI Research Paper Series, Economics and Econometrics Research Institute (EERI), Brussels, number EERI RP 2020/10, Oct.
• Manuchehr Irandoust, 2020, "The causality between house prices and stock prices: evidence from seven European countries," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, volume 14, issue 1, pages 137-156, May, DOI: 10.1108/IJHMA-02-2020-0013.
• Dervis Kirikkaleli & Korhan Gokmenoglu & Siamand Hesami, 2020, "Economic policy uncertainty and house prices in Germany: evidence from GSADF and wavelet coherence techniques," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, volume 14, issue 5, pages 842-859, November, DOI: 10.1108/IJHMA-07-2020-0084.
• Feng-Li Lin & Mei-Chih Wang & Hsien-Hung Kung, 2020, "Housing and Stock Market Nexus in the US," European Research Studies Journal, European Research Studies Journal, volume 0, issue 3, pages 114-130.
• Dimitris Korobilis & Davide Pettenuzzo, 2020, "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers, Business School - Economics, University of Glasgow, number 2020_09, Apr.
• Solomon, Edna M., 2020, "Types of R&D investment and firm productivity: UK evidence on heterogeneity and complementarity in rates of return," Greenwich Papers in Political Economy, University of Greenwich, Greenwich Political Economy Research Centre, number 30341, Dec.
• Abdelaati Daouia & Jean-Pierre Florens & Léopold Simar, 2020, "Robust frontier estimation from noisy data: a Tikhonov regularization approach," Post-Print, HAL, number hal-02573853, Apr, DOI: 10.1016/j.ecosta.2018.07.003.
• Ogunniyi Adebayo & Omotoso Opeyemi & Ayeni Jacob & Olufadewa Mayokun & Rufai Mistura & Abiodun Olusola Omotayo & Olagunju Kehinde Oluseyi, 2020, "Resource-Use Efficiency And Production Constraints Among Cassava Farmers in Nigeria: Insight, Linkage and Pathway," Journal of Developing Areas, Tennessee State University, College of Business, volume 54, issue 4, pages 1-15, October-D.
• Obraztsova, O. & Chepurenko, A., 2020, "Entrepreneurial activity in Russia and its cross-regional differences," Journal of the New Economic Association, New Economic Association, volume 46, issue 2, pages 198-210, DOI: 10.31737/2221-2264-2020-46-2-12.
• Thomas Cernohous & Tomáš Slacík, 2020, "Typology of multinationals in Austria: CESEE focus and foreign control as distinct features," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q3/20, pages 60-80, DOI: .
• Thomas Cernohous & Tomáš Slacík, 2020, "Typology of multinationals in Austria: CESEE focus and foreign control as distinct features," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q3/20, pages 60-80.
• de Andrés Sánchez, Jorge & Belzunegui Eraso, Ángel Gabriel & Valls Fonayet, Francesc, 2020, "Evaluación de la eficiencia del gasto social en los países EU15 con análisis envolvente de datos y métodos cluster borrosos || Evaluation of the efficiency of social spending in EU15 countries with da," 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 97-116, December, DOI: 10.46661/revmetodoscuanteconempresa.
• Korobilis, Dimitris & Pettenuzzo, Davide, 2020, "Machine Learning Econometrics: Bayesian algorithms and methods," MPRA Paper, University Library of Munich, Germany, number 100165, May.
• Eva Lajtkepová, 2020, "Distribution of Wages in the Regions of the Czech Republic," ACTA VSFS, University of Finance and Administration, volume 14, issue 2, pages 123-136.
• Radmila Krkošková, 2020, "Relationship Between the Brent Oil Price and the US Dollar Exchange Rate," Prague Economic Papers, Prague University of Economics and Business, volume 2020, issue 2, pages 187-206, DOI: 10.18267/j.pep.718.
• Jakub Growiec & Fabio Pammolli & Massimo Riccaboni, 2020, "Innovation and Corporate Dynamics: A Theoretical Framework," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, volume 12, issue 1, pages 1-45, March.
• Polina Pogorelova & Anatoly Peresetsky, 2020, "Extracting the global stochastic trend from non-synchronous data on the volatility of financial indices," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 57, pages 53-71.
• Luboš Hanus & Lukáš Vácha, 2020, "Growth cycle synchronization of the Visegrad Four and the European Union," Empirical Economics, Springer, volume 58, issue 4, pages 1779-1795, April, DOI: 10.1007/s00181-018-1601-x.
• Mustapha Olalekan Ojo & Luís Aguiar-Conraria & Maria Joana Soares, 2020, "A time–frequency analysis of the Canadian macroeconomy and the yield curve," Empirical Economics, Springer, volume 58, issue 5, pages 2333-2351, May, DOI: 10.1007/s00181-018-1580-y.
• Sakiru Adebola Solarin & Luis A. Gil-Alana & Carmen Lafuente, 2020, "Persistence of the Misery Index in African Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, volume 147, issue 3, pages 825-841, February, DOI: 10.1007/s11205-019-02184-y.
• Francesca Bettio & Elisa Ticci & Gianni Betti, 2020, "A Fuzzy Index and Severity Scale to Measure Violence Against Women," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, volume 148, issue 1, pages 225-249, February, DOI: 10.1007/s11205-019-02197-7.
• Shelton Peiris & Tim Swartz, 2020, "Revisiting the Kurtosis of Stationary Processes with Applications to Volatility Models," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, volume 9, issue 2, pages 1-1.
• Charline Uwilingiyimana & Abdou Kâ Diongue, 2020, "Rwanda Currency Market Risk Analysis: Evidence From Asymmetry Effects," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, volume 9, issue 2, pages 1-2.
• Oguzhan Cepni & Yavuz Selim Hacihasanoglu & Muhammed Hasan Yilmaz, 2020, "Credit decomposition and economic activity in Turkey: A wavelet-based approach," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, volume 20, issue 3, pages 109-131.
• Oguzhan Cepni & Yavuz Selim Hacihasanoglu & Muhammed Hasan Yilmaz, 2020, "Credit Decomposition and Economic Activity in Turkey: A Wavelet-Based Approach," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 2014.