Progress, Evolving Paradigms and Recent Trends in Economic Analysis
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Augusto Bianchini & Jessica Rossi & Marco Pellegrini, 2019. "Overcoming the Main Barriers of Circular Economy Implementation through a New Visualization Tool for Circular Business Models," Sustainability, MDPI, vol. 11(23), pages 1-33, November.
- Costello, Anna M. & Down, Andrea K. & Mehta, Mihir N., 2020. "Machine + man: A field experiment on the role of discretion in augmenting AI-based lending models," Journal of Accounting and Economics, Elsevier, vol. 70(2).
- Ivan Deviatkin & Sanna Rousu & Malahat Ghoreishi & Mohammad Naji Nassajfar & Mika Horttanainen & Ville Leminen, 2022. "Implementation of Circular Economy Strategies within the Electronics Sector: Insights from Finnish Companies," Sustainability, MDPI, vol. 14(6), pages 1-11, March.
- Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
- repec:hal:spmain:info:hdl:2441/4vsqk7docb9nmophtp29pk68cr is not listed on IDEAS
- Emmanuel Saez & Gabriel Zucman, 2016. "Editor's Choice Wealth Inequality in the United States since 1913: Evidence from Capitalized Income Tax Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 519-578.
- Sergio Luis Nañez Alonso & Ricardo Francisco Reier Forradellas & Oriol Pi Morell & Javier Jorge-Vazquez, 2021. "Digitalization, Circular Economy and Environmental Sustainability: The Application of Artificial Intelligence in the Efficient Self-Management of Waste," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
- Daron Acemoglu & Pascual Restrepo, 2019.
"Automation and New Tasks: How Technology Displaces and Reinstates Labor,"
Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
- Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-315, Boston University - Department of Economics.
- Acemoglu, Daron & Restrepo, Pascual, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," IZA Discussion Papers 12293, Institute of Labor Economics (IZA).
- Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," NBER Working Papers 25684, National Bureau of Economic Research, Inc.
- Niu, Xiaoqin & Yüksel, Serhat & Dinçer, Hasan, 2023. "Emission strategy selection for the circular economy-based production investments with the enhanced decision support system," Energy, Elsevier, vol. 274(C).
- Okewu Emmanuel & Ananya M & Sanjay Misra & Murat Koyuncu, 2020. "A Deep Neural Network-Based Advisory Framework for Attainment of Sustainable Development Goals 1-6," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
- Thomas Piketty & Emmanuel Saez, 2003. "Income Inequality in the United States, 1913–1998," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 1-41.
- John M. Abowd & Ian M. Schmutte, 2019.
"An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices,"
American Economic Review, American Economic Association, vol. 109(1), pages 171-202, January.
- John M. Abowd & Ian M. Schmutte, 2018. "An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices," Working Papers 18-35, Center for Economic Studies, U.S. Census Bureau.
- Emmanuel Okewu & Sanjay Misra & Jonathan Okewu & Robertas Damaševičius & Rytis Maskeliūnas, 2019. "An Intelligent Advisory System to Support Managerial Decisions for A Social Safety Net," Administrative Sciences, MDPI, vol. 9(3), pages 1-14, August.
- Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
- Bekaert, Geert & De Santis, Roberto A., 2021.
"Risk and return in international corporate bond markets,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
- Bekaert, Geert & De Santis, Roberto A., 2020. "Risk and return in international corporate bond markets," Working Paper Series 2452, European Central Bank.
- Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014.
"Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1553-1623.
- Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014. "Where is the Land of Opportunity? The Geography of Intergenerational Mobility in the United States," NBER Working Papers 19843, National Bureau of Economic Research, Inc.
- Chetty, Nadarajan & Hendren, Nathaniel & Kline, Patrick & Saez, Emmanuel, 2014. "Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States," Scholarly Articles 30750027, Harvard University Department of Economics.
- Emmanuel Okewu & Sanjay Misra & Rytis Maskeliūnas & Robertas Damaševičius & Luis Fernandez-Sanz, 2017. "Optimizing Green Computing Awareness for Environmental Sustainability and Economic Security as a Stochastic Optimization Problem," Sustainability, MDPI, vol. 9(10), pages 1-17, October.
- David Silver & Aja Huang & Chris J. Maddison & Arthur Guez & Laurent Sifre & George van den Driessche & Julian Schrittwieser & Ioannis Antonoglou & Veda Panneershelvam & Marc Lanctot & Sander Dieleman, 2016. "Mastering the game of Go with deep neural networks and tree search," Nature, Nature, vol. 529(7587), pages 484-489, January.
- Raj Chetty & John N. Friedman & Nathaniel Hendren & Maggie R. Jones & Sonya R. Porter, 2018.
"The Opportunity Atlas: Mapping the Childhood Roots of Social Mobility,"
NBER Working Papers
25147, National Bureau of Economic Research, Inc.
- Raj Chetty & John N. Friedman & Nathaniel Hendren & Maggie R. Jones & Sonya R. Porter, 2018. "The Opportunity Atlas: Mapping the Childhood Roots of Social Mobility," Working Papers 18-42, Center for Economic Studies, U.S. Census Bureau.
- Stefano DellaVigna, 2018. "Structural Behavioral Economics," NBER Working Papers 24797, National Bureau of Economic Research, Inc.
- Susan Athey, 2018. "The Impact of Machine Learning on Economics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 507-547, National Bureau of Economic Research, Inc.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Yucheng Yang & Zhong Zheng & Weinan E, 2020. "Interpretable Neural Networks for Panel Data Analysis in Economics," Papers 2010.05311, arXiv.org, revised Nov 2020.
- Gallin, Joshua & Molloy, Raven & Nielsen, Eric & Smith, Paul & Sommer, Kamila, 2021. "Measuring aggregate housing wealth: New insights from machine learning ☆," Journal of Housing Economics, Elsevier, vol. 51(C).
- Andreas Fagereng & Luigi Guiso & Davide Malacrino & Luigi Pistaferri, 2020.
"Heterogeneity and Persistence in Returns to Wealth,"
Econometrica, Econometric Society, vol. 88(1), pages 115-170, January.
- Guiso, Luigi & Pistaferri, Luigi & Fagereng, Andreas & Malacrino, Davide, 2016. "Heterogeneity and Persistence in Returns to Wealth," CEPR Discussion Papers 11635, C.E.P.R. Discussion Papers.
- Andreas Fagereng & Luigi Guiso & Luigi Pistaferri & Davide Malacrino, 2019. "Heterogeneity and persistence in returns to wealth," Discussion Papers 912, Statistics Norway, Research Department.
- Andreas Fagereng & Luigi Guiso & Davide Malacrino & Luigi Pistaferri, 2016. "Heterogeneity and Persistence in Returns to Wealth," NBER Working Papers 22822, National Bureau of Economic Research, Inc.
- Andreas Fagereng & Luigi Guiso & Davide Malacrino & Luigi Pistaferri, 2016. "Heterogeneity and Persistence in Returns to Wealth," EIEF Working Papers Series 1615, Einaudi Institute for Economics and Finance (EIEF), revised Nov 2016.
- Andreas Fagereng & Luigi Guiso & Mr. Davide Malacrino & Luigi Pistaferri, 2018. "Heterogeneity and Persistence in Returns to Wealth," IMF Working Papers 2018/171, International Monetary Fund.
- Andreas Fagereng & Luigi Guiso & Davide Malacrino & Luigi Pistaferri, 2018. "Heterogeneity and Persistence in Returns to Wealth," CESifo Working Paper Series 7107, CESifo.
- Naguib, Costanza, 2019. "Estimating the Heterogeneous Impact of the Free Movement of Persons on Relative Wage Mobility," Economics Working Paper Series 1903, University of St. Gallen, School of Economics and Political Science.
- Akash Malhotra, 2018. "A hybrid econometric-machine learning approach for relative importance analysis: Prioritizing food policy," Papers 1806.04517, arXiv.org, revised Aug 2020.
- Atif Mian & Ludwig Straub & Amir Sufi, 2021.
"Indebted Demand,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(4), pages 2243-2307.
- Atif Mian & Ludwig Straub & Amir Sufi, 2020. "Indebted Demand," CESifo Working Paper Series 8210, CESifo.
- Atif Mian & Ludwig Straub & Amir Sufi, 2021. "Indebted Demand," Working Papers 2021-82, Princeton University. Economics Department..
- Atif Mian & Ludwig Straub & Amir Sufi, 2021. "Indebted Demand," BIS Working Papers 968, Bank for International Settlements.
- Atif R. Mian & Ludwig Straub & Amir Sufi, 2020. "Indebted Demand," NBER Working Papers 26940, National Bureau of Economic Research, Inc.
- Kea BARET, 2021. "Fiscal rules’ compliance and Social Welfare," Working Papers of BETA 2021-38, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
- Croux, Christophe & Jagtiani, Julapa & Korivi, Tarunsai & Vulanovic, Milos, 2020.
"Important factors determining Fintech loan default: Evidence from a lendingclub consumer platform,"
Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 270-296.
- Christophe Croux & Julapa Jagtiani & Tarunsai Korivi & Milos Vulanovic, 2020. "Important Factors Determining Fintech Loan Default: Evidence from the LendingClub Consumer Platform," Working Papers 20-15, Federal Reserve Bank of Philadelphia.
- Galdo, Virgilio & Li, Yue & Rama, Martin, 2021.
"Identifying urban areas by combining human judgment and machine learning: An application to India,"
Journal of Urban Economics, Elsevier, vol. 125(C).
- Galdo,Virgilio & Li,Yue-000316086 & Rama,Martin G., 2020. "Identifying Urban Areas by Combining Human Judgment and Machine Learning : An Application to India," Policy Research Working Paper Series 0160, The World Bank.
- Kreiner, Claus Thustrup & Olufsen, Isabel Skak, 2022. "Is inequality in subjective well-being meritocratic? Danish evidence from linked survey and administrative data," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 336-367.
- Pablo Picardo, 2019. "Predicción de precios de vivienda: Aprendizaje estadístico con datos de oferta y transacciones para la ciudad de Montevideo," Documentos de trabajo 2019002, Banco Central del Uruguay.
- Mario Alloza, 2021.
"The impact of taxes on income mobility,"
International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 28(4), pages 794-854, August.
- Mario Alloza, 2016. "The Impact of Taxes on Income Mobility," Discussion Papers 1632, Centre for Macroeconomics (CFM).
- Mario Alloza, 2017. "The Impact of Taxes on Income Mobility," Working Papers 1725, Banco de España.
- Alloza, Mario, 2016. "The impact of taxes on income mobility," LSE Research Online Documents on Economics 86178, London School of Economics and Political Science, LSE Library.
- Lucas Chancel, 2019.
"Ten facts about income inequality in advanced economies,"
Working Papers
hal-02876982, HAL.
- Lucas Chancel, 2019. "Ten facts about income inequality in advanced economies," World Inequality Lab Working Papers hal-02876982, HAL.
- Joey Blumberg & Gary Thompson, 2022. "Nonparametric segmentation methods: Applications of unsupervised machine learning and revealed preference," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(3), pages 976-998, May.
- Andini, Monica & Boldrini, Michela & Ciani, Emanuele & de Blasio, Guido & D'Ignazio, Alessio & Paladini, Andrea, 2022.
"Machine learning in the service of policy targeting: The case of public credit guarantees,"
Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 434-475.
- Monica Andini & Michela Boldrini & Emanuele Ciani & Guido de Blasio & Alessio D'Ignazio & Andrea Paladini, 2019. "Machine learning in the service of policy targeting: the case of public credit guarantees," Temi di discussione (Economic working papers) 1206, Bank of Italy, Economic Research and International Relations Area.
- Francesco Bloise & Paolo Brunori & Patrizio Piraino, 2021.
"Estimating intergenerational income mobility on sub-optimal data: a machine learning approach,"
The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(4), pages 643-665, December.
- Francesco Bloise & Paolo Brunori & Patrizio Piraino, 2020. "Estimating intergenerational income mobility on sub-optimal data: a machine learning approach," Working Papers 526, ECINEQ, Society for the Study of Economic Inequality.
- Mehmet Güney Celbiş, 2021. "A machine learning approach to rural entrepreneurship," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 1079-1104, August.
- James T. E. Chapman & Ajit Desai, 2023.
"Macroeconomic Predictions Using Payments Data and Machine Learning,"
Forecasting, MDPI, vol. 5(4), pages 1-32, November.
- James Chapman & Ajit Desai, 2022. "Macroeconomic Predictions Using Payments Data and Machine Learning," Staff Working Papers 22-10, Bank of Canada.
- James T. E. Chapman & Ajit Desai, 2022. "Macroeconomic Predictions using Payments Data and Machine Learning," Papers 2209.00948, arXiv.org.
- Onder Ozgur & Erdal Tanas Karagol & Fatih Cemil Ozbugday, 2021. "Machine learning approach to drivers of bank lending: evidence from an emerging economy," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-29, December.
- Byron Botha & Rulof Burger & Kevin Kotzé & Neil Rankin & Daan Steenkamp, 2023.
"Big data forecasting of South African inflation,"
Empirical Economics, Springer, vol. 65(1), pages 149-188, July.
- Byron Botha & Kevin Kotze & Neil Rankin & Rulof P. Burger, 2022. "Big data forecasting of South African inflation," Working Papers 873, Economic Research Southern Africa.
- Byron Botha & Rulof Burger & Kevin Kotz & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," Working Papers 11022, South African Reserve Bank.
- Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," School of Economics Macroeconomic Discussion Paper Series 2022-03, School of Economics, University of Cape Town.
More about this item
Keywords
Economic Analysis; Inequality; Smart Economics; Behavioral Economics;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bba:j00007:v:2:y:2023:i:2:p:35-47:d:242. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ramona Wang (email available below). General contact details of provider: https://www.anserpress.org .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.