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Timely Indicators for Inequality and Poverty Using the Italian Labour Force Survey

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  • Francesca Carta

    (Bank of Italy
    Dondena)

Abstract

Income distribution measures obtained from standard household income surveys are usually published with a significant delay, of about 2 years. In this paper we propose a methodology for obtaining timelier indicators using the Italian Labour Force Survey (ILFS), a database which collects detailed information not only on individuals’ labour market status, but also on their households and wages. We develop a framework to estimate household labour income and we use it to construct distributional indicators that are available 1 year and half before the standard measures. After discussing the limitations of our approach, we show that the ILFS-based indicators closely track those calculated on standard household income surveys. The suggested indicators are not meant to substitute standard income measures but can offer up-to-date information, with the aim of better monitoring the distributional impact of changing macroeconomic conditions.

Suggested Citation

  • Francesca Carta, 2020. "Timely Indicators for Inequality and Poverty Using the Italian Labour Force Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 41-65, May.
    • Handle: RePEc:spr:soinre:v:149:y:2020:i:1:d:10.1007_s11205-019-02238-1
    DOI: 10.1007/s11205-019-02238-1
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    1. Tullio Jappelli & Luigi Pistaferri, 2010. "Does Consumption Inequality Track Income Inequality in Italy?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(1), pages 133-153, January.
    2. Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 195-237, Elsevier.
    3. Shorrocks, A F, 1982. "Inequality Decomposition by Factor Components," Econometrica, Econometric Society, vol. 50(1), pages 193-211, January.
    4. Jekaterina Navicke & Olga Rastrigina & Holly Sutherland, 2014. "Nowcasting Indicators of Poverty Risk in the European Union: A Microsimulation Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(1), pages 101-119, October.
    5. Giulia Bovini & Eliana Viviano, 2018. "The Italian "employment-rich" recovery: a closer look," Questioni di Economia e Finanza (Occasional Papers) 461, Bank of Italy, Economic Research and International Relations Area.
    6. Emanuele Ciani & Roberto Torrini, 2019. "The Geography of Italian Income Inequality: Recent Trends and the Role of Employment," Politica economica, Società editrice il Mulino, issue 2, pages 173-208.
    7. Stephen P. Jenkins, 2009. "Distributionally‐Sensitive Inequality Indices And The Gb2 Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(2), pages 392-398, June.
    8. Sauro Mocetti & Elisabetta Olivieri & Eliana Viviano, 2011. "Italian households and labour market: structural characteristics and effects of the crisis," Stato e mercato, Società editrice il Mulino, issue 2, pages 223-243.
    9. Jenkins, Stephen P. & Brandolini, Andrea & Micklewright, John & Nolan, Brian (ed.), 2012. "The Great Recession and the Distribution of Household Income," OUP Catalogue, Oxford University Press, number 9780199671021.
    10. James K. Galbraith & Jaehee Choi & Béatrice Halbach & Aleksandra Malinowska & Wenjie Zhang, 2016. "A Comparison of Major World Inequality Data Sets: LIS, OECD, EU-SILC, WDI, and EHII," Research in Labor Economics, in: Income Inequality Around the World, volume 44, pages 1-48, Emerald Group Publishing Limited.
    11. Carlos Vacas-Soriano & Enrique Fernández-Macías, 2018. "Income Inequality in the Great Recession from an EU-wide Perspective," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 19(02), pages 09-18, July.
    12. Michele Raitano, 2016. "Income Inequality in Europe Since the Crisis," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 51(2), pages 67-72, March.
    13. Andrea Brandolini & Romina Gambacorta & Alfonso Rosolia, 2018. "Inequality amid income stagnation: Italy over the last quarter of a century," Questioni di Economia e Finanza (Occasional Papers) 442, Bank of Italy, Economic Research and International Relations Area.
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    Cited by:

    1. Cathal O’Donoghue & Denisa M Sologon & Iryna Kyzyma & John McHale, 2021. "A Microsimulation Analysis of the Distributional Impact over the Three Waves of the COVID-19 Crisis in Ireland," International Journal of Microsimulation, International Microsimulation Association, vol. 14(2), pages 81-105.
    2. O'Donoghue, Cathal & Sologon, Denisa Maria, 2023. "The Transformation of Public Policy Analysis in Times of Crisis – A Microsimulation-Nowcasting Method Using Big Data," IZA Discussion Papers 15937, Institute of Labor Economics (IZA).
    3. Astarita, Caterina & Alcidi, Cinzia, 2022. "Did the COVID-19 pandemic impact income distribution?," MPRA Paper 113851, University Library of Munich, Germany.
    4. Barbieri, Teresa, 2021. "Changes in the Italian wage distribution: the role of routine and social tasks," MPRA Paper 113407, University Library of Munich, Germany.
    5. Francesca Carta & Marta De Philippis, 2021. "The impact of the COVID-19 shock on labour income inequality: evidence from Italy," Questioni di Economia e Finanza (Occasional Papers) 606, Bank of Italy, Economic Research and International Relations Area.

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    More about this item

    Keywords

    Inequality; Poverty; Employment; Nowcasting;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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