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Informality and development: The nonlinear effect

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  • Fotié, Andrée Kenne
  • Mbratana, Taoufiki

Abstract

This paper explores how the level of development affects informality. We find for 150 countries from 1996 to 2017 that the long-run relationship between the size of the informal economy and GDP per capita follows an inverted-N pattern. This nonlinear effect is heterogeneous across the conditional distribution of informality, and robust to different income-country groups and alternative specifications. Additionally, we identify rule of law and financial development as powerful determinants of informality. In terms of policy, the formation of reforms to the informal sector should take into account the country's level of development.

Suggested Citation

  • Fotié, Andrée Kenne & Mbratana, Taoufiki, 2024. "Informality and development: The nonlinear effect," Economics Letters, Elsevier, vol. 234(C).
    • Handle: RePEc:eee:ecolet:v:234:y:2024:i:c:s0165176523004962
    DOI: 10.1016/j.econlet.2023.111470
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    1. Roberto Dell'Anno, 2022. "Theories and definitions of the informal economy: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 36(5), pages 1610-1643, December.
    2. Rafael La Porta & Andrei Shleifer, 2014. "Informality and Development," Journal of Economic Perspectives, American Economic Association, vol. 28(3), pages 109-126, Summer.
    3. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    4. Friedrich Schneider, 2005. "Shadow Economies of 145 Countries all over the World: What Do We Really Know?," CREMA Working Paper Series 2005-13, Center for Research in Economics, Management and the Arts (CREMA).
    5. Bittencourt, Manoel & Gupta, Rangan & Stander, Lardo, 2014. "Tax evasion, financial development and inflation: Theory and empirical evidence," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 194-208.
    6. Galvao Jr., Antonio F., 2011. "Quantile regression for dynamic panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 164(1), pages 142-157, September.
    7. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    8. Rafael La Porta & Andrei Shleifer, 2008. "The Unofficial Economy and Economic Development," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 39(2 (Fall)), pages 275-363.
    9. Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, January.
    10. Gareth Lui-Evans & Shalini Mitra, 2019. "Informality and Bank Stability," Working Papers 201903, University of Liverpool, Department of Economics.
    11. Leandro Medina & Mr. Friedrich Schneider, 2018. "Shadow Economies Around the World: What Did We Learn Over the Last 20 Years?," IMF Working Papers 2018/017, International Monetary Fund.
    12. Ivan A. Canay, 2011. "A simple approach to quantile regression for panel data," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 368-386, October.
    13. Galina Besstremyannaya & Sergei Golovan, 2019. "Reconsideration of a simple approach to quantile regression for panel data," The Econometrics Journal, Royal Economic Society, vol. 22(3), pages 292-308.
    14. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    15. Norman V. Loayza, 2016. "Informality in the Process of Development and Growth," The World Economy, Wiley Blackwell, vol. 39(12), pages 1856-1916, December.
    16. Dong Frank Wu & Mr. Friedrich Schneider, 2019. "Nonlinearity Between the Shadow Economy and Level of Development," IMF Working Papers 2019/048, International Monetary Fund.
    17. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    18. Nguimkeu, Pierre, 2014. "A structural econometric analysis of the informal sector heterogeneity," Journal of Development Economics, Elsevier, vol. 107(C), pages 175-191.
    19. Guillermo E. Perry & William F. Maloney & Omar S. Arias & Pablo Fajnzylber & Andrew D. Mason & Jaime Saavedra-Chanduvi, 2007. "Informality : Exit and Exclusion," World Bank Publications - Books, The World Bank Group, number 6730.
    20. Liu-Evans, Gareth & Mitra, Shalini, 2019. "Informality and bank stability," Economics Letters, Elsevier, vol. 182(C), pages 122-125.
    21. Ceyhun Elgin & Oguz Oztunali, 2012. "Shadow Economies around the World: Model Based Estimates," Working Papers 2012/05, Bogazici University, Department of Economics.
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    More about this item

    Keywords

    Informality; Level of development; Nonlinearity; Panel data; Quantile regression;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E26 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Informal Economy; Underground Economy
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • O5 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies

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