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The Geography of Average Income and Inequality: Spatial Evidence from Austria

Author

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  • Mathias Moser

    (Department of Economics, Vienna University of Economics and Business)

  • Matthias Schnetzer

    (Austrian Chamber of Labour Vienna)

Abstract

This paper investigates the nexus between regional income levels and inequality. We present a novel small-scale inequality database for Austrian municipalities to address this question. Our dataset combines individual tax data of Austrian wage tax payer on regionally disaggregated scale with census and geographical information. This setting allows us to investigate regional spillover effects of average income and various measures of income inequality. Using this data set we find distinct regional clusters of both high average wages and high earnings inequality in Austria. Furthermore we use spatial econometric regressions to quantify the effects between income levels and a number of inequality measures such as the Gini and 90/10 quantile ratios.

Suggested Citation

  • Mathias Moser & Matthias Schnetzer, 2014. "The Geography of Average Income and Inequality: Spatial Evidence from Austria," Department of Economics Working Papers wuwp191, Vienna University of Economics and Business, Department of Economics.
  • Handle: RePEc:wiw:wiwwuw:wuwp191
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    2. Albacete, Nicolás & Fessler, Pirmin & Lindner, Peter, 2021. "Who’s asking? Interviewer effects on unit non-response in the Household Finance and Consumption Survey," Statistics Paper Series 39, European Central Bank.
    3. Tatiana Yu. Ivakhnenko, 2023. "Моделирование Неравенства Доходов Населения С Учетом Пространственной Зависимости В Рф," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 7, pages 21-28, July.
    4. Sophie Augustin & Katarina Hollan & Alyssa Schneebaum, 2015. "Bildungshomogamie und Vermögensverteilung in Österreich," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 41(3), pages 383-407.

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    More about this item

    Keywords

    Regional inequality; spatial dependence; spatial autoregressive model;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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