IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/111268.html
   My bibliography  Save this paper

Estimating the Social Welfare Function of Amartya Sen for Latin America

Author

Listed:
  • John Michael, Riveros-Gavilanes

Abstract

The present article establishes a set of empirical approximations related to the theorical formulation of the social welfare function of Sen applied to the Latin-American context between 1995 & 2018, this in order to provide estimates of the welfare trends derived from its original version and the generalized version proposed by Mukhopadhaya (2003a; 2003b). The article equally contributes exploring the long-run relationships among welfare, inequality and income with the panel data methodology. The results indicated that long-run relationships exists among these variables, a higher elasticity on the welfare comes from the income distribution rather than the economic growth, in the short-run, only the economic growth was significant to explain the welfare. Finally, for the Latin American countries the ranking of welfare was done considering the predicted values of welfare at country level with the linear predictions of the econometrical model of the long-run, which matches in terms of behavior and rank in the welfare with the original approach of Sen applied to Latin America.

Suggested Citation

  • John Michael, Riveros-Gavilanes, 2020. "Estimating the Social Welfare Function of Amartya Sen for Latin America," MPRA Paper 111268, University Library of Munich, Germany, revised 08 Feb 2021.
  • Handle: RePEc:pra:mprapa:111268
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/111268/1/MPRA_paper_111268.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    2. Branko Milanovic, 2013. "Global Income Inequality in Numbers: in History and Now," Global Policy, London School of Economics and Political Science, vol. 4(2), pages 198-208, May.
    3. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    4. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    5. Amartya Sen, 1976. "Real National Income," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 43(1), pages 19-39.
    6. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    7. Leonardo Gasparini & Walter Sosa, 2001. "Assessing Aggregate Welfare: Growth and Inequality in Argentina," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 38(113), pages 49-71.
    8. Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LP, vol. 7(3), pages 281-312, September.
    9. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    10. Kevin W. S. Roberts, 1980. "Possibility Theorems with Interpersonally Comparable Welfare Levels," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(2), pages 409-420.
    11. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    12. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    13. Alex Cobham & Lukas Schlögl & Andy Sumner, 2016. "Inequality and the Tails: the Palma Proposition and Ratio," Global Policy, London School of Economics and Political Science, vol. 7(1), pages 25-36, February.
    14. Berrebi, Z. M. & Silber, Jacques, 1987. "Regional differences and the components of growth and inequality change," Economics Letters, Elsevier, vol. 25(3), pages 295-298.
    15. Edith Madsen, 2005. "Estimating cointegrating relations from a cross section," Econometrics Journal, Royal Economic Society, vol. 8(3), pages 380-405, December.
    16. Thomas Dickson Ndamsa & Gladys Njang & Francis Menjo Baye, 2020. "Social Welfare Consequences of the Radius of Employment Decency," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 6(3), pages 211-238, April.
    17. Blackorby, Charles & Bossert, Walter & Donaldson, David, 2002. "Utilitarianism and the theory of justice," Handbook of Social Choice and Welfare, in: K. J. Arrow & A. K. Sen & K. Suzumura (ed.), Handbook of Social Choice and Welfare, edition 1, volume 1, chapter 11, pages 543-596, Elsevier.
    18. Yonatan Berman & Eshel Ben-Jacob & Yoash Shapira, 2016. "The Dynamics of Wealth Inequality and the Effect of Income Distribution," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-19, April.
    19. Sen, Amartya, 1974. "Informational bases of alternative welfare approaches : Aggregation and income distribution," Journal of Public Economics, Elsevier, vol. 3(4), pages 387-403, November.
    20. Mark McGillivray & Nora Markova, 2010. "Global Inequality in Well-being Dimensions," Journal of Development Studies, Taylor & Francis Journals, vol. 46(2), pages 371-378.
    21. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    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.
    1. Caravaggio, Nicola, 2020. "A global empirical re-assessment of the Environmental Kuznets curve for deforestation," Forest Policy and Economics, Elsevier, vol. 119(C).
    2. Caravaggio, Nicola, 2022. "Economic growth and forest transition in Latin America," Forest Policy and Economics, Elsevier, vol. 135(C).
    3. Omri, Anis, 2018. "Entrepreneurship, sectoral outputs and environmental improvement: International evidence," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 46-55.
    4. Wei Li & Tao Zhao & Yanan Wang & Fang Guo, 2017. "Investigating the learning effects of technological advancement on CO2 emissions: a regional analysis in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 1211-1227, September.
    5. Tiba, Sofien & Frikha, Mohamed, 2019. "The controversy of the resource curse and the environment in the SDGs background: The African context," Resources Policy, Elsevier, vol. 62(C), pages 437-452.
    6. Hdom, Hélde A.D., 2019. "Examining carbon dioxide emissions, fossil & renewable electricity generation and economic growth: Evidence from a panel of South American countries," Renewable Energy, Elsevier, vol. 139(C), pages 186-197.
    7. Zhang, Chuanguo & Zhou, Xiangxue, 2016. "Does foreign direct investment lead to lower CO2 emissions? Evidence from a regional analysis in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 943-951.
    8. Busayo Victor Osuntuyi & Hooi Hooi Lean, 2023. "Environmental degradation, economic growth, and energy consumption: The role of education," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 1166-1177, April.
    9. Jemima Peppel-Srebrny, 2018. "Government borrowing cost and balance sheets: do assets matter?," Economics Series Working Papers 860, University of Oxford, Department of Economics.
    10. Francisco García-Lillo & Eduardo Sánchez-García & Bartolomé Marco-Lajara & Pedro Seva-Larrosa, 2023. "Renewable Energies and Sustainable Development: A Bibliometric Overview," Energies, MDPI, vol. 16(3), pages 1-22, January.
    11. Jos Alberto Fuinhas & Ant nio Cardoso Marques & Alcino Pinto Couto, 2015. "Oil-Growth Nexus in Oil Producing Countries: Macro Panel Evidence," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 148-163.
    12. Asongu, Simplice A., 2014. "A note on the long-run neutrality of monetary policy: new empirics," European Economic Letters, European Economics Letters Group, vol. 3(1), pages 1-6.
    13. Asongu Simplice, 2013. "Does Money Matter in Africa? New Empirics on Long- and Short-run Effects of Monetary Policy on Output and Prices," Working Papers of the African Governance and Development Institute. 13/005, African Governance and Development Institute..
    14. Ramesh Chandra Das & Tonmoy Chatterjee & Enrico Ivaldi, 2022. "Nexus between Housing Price and Magnitude of Pollution: Evidence from the Panel of Some High- and-Low Polluting Cities of the World," Sustainability, MDPI, vol. 14(15), pages 1-18, July.
    15. Thian-Hee Yiew & Chin-Yu Lee & Lin-Sea Lau, 2021. "Economic growth in selected G20 countries: How do different pollution emissions matter?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11451-11474, August.
    16. Pao, Hsiao-Tien & Tsai, Chung-Ming, 2011. "Multivariate Granger causality between CO2 emissions, energy consumption, FDI (foreign direct investment) and GDP (gross domestic product): Evidence from a panel of BRIC (Brazil, Russian Federation, I," Energy, Elsevier, vol. 36(1), pages 685-693.
    17. Hakimi, Abdelaziz & Hamdi, Helmi, 2016. "Trade liberalization, FDI inflows, environmental quality and economic growth: A comparative analysis between Tunisia and Morocco," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1445-1456.
    18. Ferreira, Cândida, 2020. "Globalisation and Economic Growth: A Panel Data Approach," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 73(2), pages 187-236.
    19. Ben Jebli, Mehdi & Ben Youssef, Slim, 2015. "Output, renewable and non-renewable energy consumption and international trade: Evidence from a panel of 69 countries," Renewable Energy, Elsevier, vol. 83(C), pages 799-808.
    20. Simplice Asongu, 2013. "How Would Population Growth Affect Investment in the Future? Asymmetric Panel Causality Evidence for Africa," African Development Review, African Development Bank, vol. 25(1), pages 14-29.

    More about this item

    Keywords

    Welfare; Inequality; Growth; Income; Latin America.;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    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:pra:mprapa:111268. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.