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Labour responsiveness to income tax changes: empirical evidence from a DID analysis of an income tax treatment in Italy

Author

Listed:
  • Bruno Paolo Bosco

    (University of Milano-Bicocca)

  • Carlo Federico Bosco

    (University of Pavia)

  • Paolo Maranzano

    (University of Milano-Bicocca
    Fondazione Eni Enrico Mattei (FEEM))

Abstract

This paper uses an Italian income tax treatment occurred in 2006/7 as a quasi-natural tax experiment and offers some fresh empirical evidence on how labour supply responds to exogenous income tax hikes. The specific features of the Italian tax measures, namely homogeneity and contemporaneity of the treatment across Italian regions, allow us to adopt the identification strategy of the two-way fixed effect (TWFE) panel data difference-in-differences (DID) model and to define the correct statistical framework of the study. We find that income tax hikes cause extensive negative adjustments of various response variables measuring the supply of labour services offered by treated taxpayers. DID estimated coefficients indicate that supply adjustments are significant, fast, and strong but not long-time lasting. Estimated time effects permit to evaluate the time impact of the tax measures and to conduct a dynamical policy evaluation of the tax hikes. We also show that treated families reduce in a similar manner their consumption with respect to families in the control groups and that analogous adjustment responses to income tax hikes characterise the growth of real per capita regional GDP. Altogether, estimates provide an overall view of the labour, consumption, and real growth effects of the income tax hikes. Results from DID estimations are further evaluated in comparison with the spatial–temporal patterns observed for every response variable in treated and untreated regions.

Suggested Citation

  • Bruno Paolo Bosco & Carlo Federico Bosco & Paolo Maranzano, 2025. "Labour responsiveness to income tax changes: empirical evidence from a DID analysis of an income tax treatment in Italy," Empirical Economics, Springer, vol. 69(2), pages 787-828, August.
  • Handle: RePEc:spr:empeco:v:69:y:2025:i:2:d:10.1007_s00181-025-02748-7
    DOI: 10.1007/s00181-025-02748-7
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    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation

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