Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy
Author
Abstract
Suggested Citation
DOI: 10.1007/s10614-023-10369-4
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Feige, Edgar L., 2015.
"Reflections on the meaning and measurement of Unobserved Economies: What do we really know about the “Shadow Economy”?,"
MPRA Paper
68466, University Library of Munich, Germany.
- Feige, Edgar L., 2016. "Reflections on the meaning and measurement of Unobserved Economies: What do we really know about the "Shadow Economy"," MPRA Paper 69271, University Library of Munich, Germany, revised 01 Feb 2016.
- Lars P. Feld & Friedrich Schneider, 2010.
"Survey on the Shadow Economy and Undeclared Earnings in OECD Countries,"
German Economic Review, Verein für Socialpolitik, vol. 11(2), pages 109-149, May.
- Feld Lars P. & Schneider Friedrich, 2010. "Survey on the Shadow Economy and Undeclared Earnings in OECD Countries," German Economic Review, De Gruyter, vol. 11(2), pages 109-149, May.
- Ha, Le Thanh & Dung, Hoang Phuong & Thanh, To Trung, 2021. "Economic complexity and shadow economy: A multi-dimensional analysis," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 408-422.
- Ricardo P. Masini & Marcelo C. Medeiros & Eduardo F. Mendes, 2023.
"Machine learning advances for time series forecasting,"
Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 76-111, February.
- Ricardo P. Masini & Marcelo C. Medeiros & Eduardo F. Mendes, 2020. "Machine Learning Advances for Time Series Forecasting," Papers 2012.12802, arXiv.org, revised Apr 2021.
- Piotr Dybka & Michał Kowalczuk & Bartosz Olesiński & Andrzej Torój & Marek Rozkrut, 2019.
"Currency demand and MIMIC models: towards a structured hybrid method of measuring the shadow economy,"
International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(1), pages 4-40, February.
- Piotr Dybka & Michal Kowalczuk & Bartosz Olesinski & Marek Rozkrut & Andrzej Toroj, 2017. "Currency demandand MIMIC models: towards a structured hybrid model-based estimation of the shadow economy size," KAE Working Papers 2017-030, Warsaw School of Economics, Collegium of Economic Analysis.
- repec:bla:germec:v:11:y:2010:i::p:109-149 is not listed on IDEAS
- Kenneth Rogoff, 2015.
"Costs and Benefits to Phasing out Paper Currency,"
NBER Macroeconomics Annual, University of Chicago Press, vol. 29(1), pages 445-456.
- Kenneth Rogoff, 2014. "Costs and Benefits to Phasing out Paper Currency," NBER Chapters, in: NBER Macroeconomics Annual 2014, Volume 29, pages 445-456, National Bureau of Economic Research, Inc.
- Kenneth S. Rogoff, "undated". "Costs and Benefits to Phasing Out Paper Currency," Working Paper 168026, Harvard University OpenScholar.
- Rogoff, Kenneth S., 2014. "Costs and Benefits to Phasing Out Paper Currency," Scholarly Articles 12491029, Harvard University Department of Economics.
- Kenneth S. Rogoff, 2014. "Costs and Benefits to Phasing Out Paper Currency," NBER Working Papers 20126, National Bureau of Economic Research, Inc.
- Friedrich Schneider & Andreas Buehn & Claudio Montenegro, 2010. "New Estimates for the Shadow Economies all over the World," International Economic Journal, Taylor & Francis Journals, vol. 24(4), pages 443-461.
- Friedrich SCHNEIDER, 2016.
"Estimating the Size of the Shadow Economy: Methods, Problems and Open Questions,"
Turkish Economic Review, KSP Journals, vol. 3(2), pages 256-280, June.
- Friedrich Schneider & Andreas Bühn, 2013. "Estimating the Size of the Shadow Economy: Methods, Problems and Open Questions," CESifo Working Paper Series 4448, CESifo.
- Andreas Buehn & Friedrich Schneider, 2013. "Estimating the Size of the Shadow Economy: Methods, Problems and Open Questions," Economics working papers 2013-20, Department of Economics, Johannes Kepler University Linz, Austria.
- Schneider, Friedrich & Buehn, Andreas, 2016. "Estimating the Size of the Shadow Economy: Methods, Problems and Open Questions," IZA Discussion Papers 9820, Institute of Labor Economics (IZA).
- Kerem Cantekin & Ceyhun Elgin, 2017. "Extent And Growth Effects Of Informality In Turkey: Evidence From A Firm-Level Survey," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(05), pages 1017-1037, December.
- Dominik H. Enste & Friedrich Schneider, 2000. "Shadow Economies: Size, Causes, and Consequences," Journal of Economic Literature, American Economic Association, vol. 38(1), pages 77-114, March.
- Ceyhun Elgin & Oguz Oztunali, 2012. "Shadow Economies around the World: Model Based Estimates," Working Papers 2012/05, Bogazici University, Department of Economics.
- Jaehyun Yoon, 2021. "Forecasting of Real GDP Growth Using Machine Learning Models: Gradient Boosting and Random Forest Approach," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 247-265, January.
- Weber, Gerhard-Wilhelm & Defterli, Ozlem & Alparslan Gök, SIrma Zeynep & Kropat, Erik, 2011. "Modeling, inference and optimization of regulatory networks based on time series data," European Journal of Operational Research, Elsevier, vol. 211(1), pages 1-14, May.
- Friedrich Schneider & Dominik Enste, 1999.
"Shadow Economies Around the World - Size, Causes, and Consequences,"
CESifo Working Paper Series
196, CESifo.
- Mr. Friedrich Schneider & Dominik Enste, 2000. "Shadow Economies Around the World: Size, Causes, and Consequences," IMF Working Papers 2000/026, International Monetary Fund.
- Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," MetaArXiv haf2v, Center for Open Science.
- Lars P. Feld & Claus Larsen, 2012. "Undeclared Work, Deterrence and Social Norms," Springer Books, Springer, edition 127, number 978-3-540-87401-0, July.
- Susan Athey & Guido W. Imbens, 2019. "Machine Learning Methods That Economists Should Know About," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 685-725, August.
- Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," LawArXiv kczj5, Center for Open Science.
- Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," SocArXiv 9vdwf, Center for Open Science.
- Guerino Ardizzi & Carmelo Petraglia & Massimiliano Piacenza & Gilberto Turati, 2014.
"Measuring the Underground Economy with the Currency Demand Approach: A Reinterpretation of the Methodology, With an Application to Italy,"
Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 747-772, December.
- Guerino Ardizzi & Carmelo Petraglia & Massimiliano Piacenza & Gilberto Turati, 2012. "Measuring the underground economy with the currency demand approach: a reinterpretation of the methodology, with an application to Italy," Temi di discussione (Economic working papers) 864, Bank of Italy, Economic Research and International Relations Area.
- Ceyhun Elgin & Ferda Erturk, 2019. "Informal economies around the world: measures, determinants and consequences," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(2), pages 221-237, June.
- Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," OSF Preprints yc6e2, Center for Open Science.
- Shami, Labib, 2019. "Dynamic monetary equilibrium with a Non-Observed Economy and Shapley and Shubik’s price mechanism," Journal of Macroeconomics, Elsevier, vol. 62(C).
- Marcelo C. Medeiros & Gabriel F. R. Vasconcelos & Álvaro Veiga & Eduardo Zilberman, 2021.
"Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 98-119, January.
- Marcelo Madeiros & Gabriel Vasconcelos & Álvaro Veiga & Eduardo Zilberman, 2019. "Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods," Working Papers Central Bank of Chile 834, Central Bank of Chile.
- Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," Thesis Commons auyvc, Center for Open Science.
- Periklis Gogas & Theophilos Papadimitriou & Emmanouil Sofianos, 2022. "Forecasting unemployment in the euro area with machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 551-566, April.
- Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," EdArXiv 5dwrt, Center for Open Science.
- Trevor Breusch, 2005. "Estimating the Underground Economy using MIMIC Models," Econometrics 0507003, University Library of Munich, Germany, revised 15 Dec 2005.
- J. Ferwerda & I. Deleanu & B. Unger, 2010. "Revaluating the Tanzi-Model to Estimate the Underground Economy," Working Papers 10-04, Utrecht School of Economics.
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.- Teddy Lazebnik & Tzach Fleischer & Amit Yaniv-Rosenfeld, 2023. "Benchmarking Biologically-Inspired Automatic Machine Learning for Economic Tasks," Sustainability, MDPI, vol. 15(14), pages 1-9, July.
- Kose, M. Ayhan & Elgin, Ceyhun & Ohnsorge, Franziska & Yu, Shu, 2021.
"Understanding Informality,"
CEPR Discussion Papers
16497, C.E.P.R. Discussion Papers.
- Elgin, Ceyhun & Kose, M. Ayhan & Ohnsorge, Franziska & Yu, Shu, 2021. "Understanding Informality," MPRA Paper 109490, University Library of Munich, Germany.
- Ceyhun Elgin & M. Ayhan Kose & Franziska Ohnsorge & Shu Yu, 2021. "Understanding informality," CAMA Working Papers 2021-76, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Ceyhun Elgin & M. Ayhan Kose & Franziska Ohnsorge & Shu Yu, 2021. "Understanding Informality," Koç University-TUSIAD Economic Research Forum Working Papers 2114, Koc University-TUSIAD Economic Research Forum.
- Ceyhun Elgin & M. ayhan Köse & Franziska Ohnsorge & Shu Yu, 2021. "Understanding Informality Abstract:," Working Papers 2021/03, Bogazici University, Department of Economics.
- Friedrich Schneider & Mangirdas Morkunas & Erika Quendler, 2023. "An estimation of the informal economy in the agricultural sector in the EU‐15 from 1996 to 2019," Agribusiness, John Wiley & Sons, Ltd., vol. 39(2), pages 406-447, March.
- Owolabi, Adegboyega O. & Berdiev, Aziz N. & Saunoris, James W., 2022. "Is the shadow economy procyclical or countercyclical over the business cycle? International evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 257-270.
- Urko Aguirre-Larracoechea & Cruz E. Borges, 2021. "Imputation for Repeated Bounded Outcome Data: Statistical and Machine-Learning Approaches," Mathematics, MDPI, vol. 9(17), pages 1-27, August.
- Miguel Ángel Echarte Fernández & Sergio Luis Náñez Alonso & Ricardo Reier Forradellas & Javier Jorge-Vázquez, 2022. "From the Great Recession to the COVID-19 Pandemic: The Risk of Expansionary Monetary Policies," Risks, MDPI, vol. 10(2), pages 1-17, January.
- K K C Sineth Kannangara & Yanrui Wu, 2023. "Shadow Economy in Sri Lanka: A Review and New Estimates," Economics Discussion / Working Papers 23-04, The University of Western Australia, Department of Economics.
- Hanyao Gao & Gang Kou & Haiming Liang & Hengjie Zhang & Xiangrui Chao & Cong-Cong Li & Yucheng Dong, 2024. "Machine learning in business and finance: a literature review and research opportunities," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-35, December.
- Donal Mac Géidigh & Friedrich Schneider & Matthias Blum, 2016. "Grey Matters: Charting the Development of the Shadow Economy," CESifo Working Paper Series 6234, CESifo.
- Cui, Xiwen & Yu, Xiaoyu & Niu, Dongxiao, 2024. "The ultra-short-term wind power point-interval forecasting model based on improved variational mode decomposition and bidirectional gated recurrent unit improved by improved sparrow search algorithm a," Energy, Elsevier, vol. 288(C).
- Lin, Yong & Wang, Renyu & Gong, Xingyue & Jia, Guozhu, 2022. "Cross-correlation and forecast impact of public attention on USD/CNY exchange rate: Evidence from Baidu Index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
- Philippe Adair, 2017. "Non-Observed Economy vs. the Shadow Economy in the EU: The Accuracy of Measurements Methods and Estimates revisited," Post-Print hal-01683929, HAL.
- Oliver Hümbelin & Lukas Hobi & Robert Fluder, 2021. "Rich Cities, Poor Countryside? Social Structure of the Poor and Poverty Risks in Urban and Rural Places in an Affluent Country. An Administrative Data based Analysis using Random Forest," University of Bern Social Sciences Working Papers 40, University of Bern, Department of Social Sciences, revised 10 Nov 2021.
- Petr Suler & Zuzana Rowland & Tomas Krulicky, 2021. "Evaluation of the Accuracy of Machine Learning Predictions of the Czech Republic’s Exports to the China," JRFM, MDPI, vol. 14(2), pages 1-30, February.
- Schneider, Friedrich, 2017.
"Restricting or Abolishing Cash: An Effective Instrument for Fighting the Shadow Economy, Crime and Terrorism?,"
International Cash Conference 2017 – War on Cash: Is there a Future for Cash?
162914, Deutsche Bundesbank.
- Friedrich Schneider, 2017. "Restricting or Abolishing Cash: An Effective Instrument for Fighting the Shadow Economy, Crime and Terrorism?," Economics working papers 2017-09, Department of Economics, Johannes Kepler University Linz, Austria.
- Friedrich Schneider, 2017. "Restricting or Abolishing Cash: An Effective Instrument for Fighting the Shadow Economy, Crime and Terrorism?," Economics working papers 2017-08, Department of Economics, Johannes Kepler University Linz, Austria.
- Saeed Nosratabadi & Nesrine Khazami & Marwa Ben Abdallah & Zoltan Lackner & Shahab S. Band & Amir Mosavi & Csaba Mako, 2020. "Social Capital Contributions to Food Security: A Comprehensive Literature Review," Papers 2012.03606, arXiv.org.
- Cheng Zhang & Nilam Nur Amir Sjarif & Roslina Ibrahim, 2023. "Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022," Papers 2305.04811, arXiv.org, revised Sep 2023.
- Xiaodong Zhang & Suhui Liu & Xin Zheng, 2021. "Stock Price Movement Prediction Based on a Deep Factorization Machine and the Attention Mechanism," Mathematics, MDPI, vol. 9(8), pages 1-21, April.
- Di Wu & Zhenning Xu & Seung Bach, 2023. "Using Google Trends to predict and forecast avocado sales," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 629-641, December.
More about this item
Keywords
Informal economy; Demand for money; Tax evasion and avoidance; Shadow economy; Machine learning in 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:kap:compec:v:63:y:2024:i:4:d:10.1007_s10614-023-10369-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.