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Urban Political Structure and Inequality: Political Economy Lessons from Early Modern German Cities

Published online by Cambridge University Press:  15 April 2024

Felix Schaff*
Affiliation:
Max Weber Fellow, European University Institute, Departments of Economics and SPS, Via Delle Fontanelle 18, 50014 San Domenico Di Fiesole, Italy.
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Abstract

What was the impact of urban political structure on preindustrial wealth inequality? I document that more closed political institutions were associated with higher inequality in a panel of early-modern German cities. To investigate the mechanisms behind that macro-relationship, I construct a unique individual-level panel dataset on personal wealth and political office-holding in the city-state of Nördlingen (1579–1700). I employ a difference-in-differences setting to show that political elites enriched themselves substantially, increasing inequality. To address endogeneity concerns, I exploit the Thirty-Years’ War as a shock to elites’ potential for enrichment from public office. Officials manipulated this crisis to enrich themselves further.

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Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of the Economic History Association
Figure 0

Figure 1 OLIGARCHIC POLITICAL STRUCTURE AND ECONOMIC INEQUALITYSources: Author’s own elaboration.

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Figure 2 WEALTH SHARE OF THE TOP 5 PERCENT IN NÖRDLINGEN (1579–1700)Notes: The shaded box represents the period of the Thirty Years’ War.Sources: See the main text.

Figure 2

Table 1 TAXPAYER CHARACTERISTICS COMPARED TO MAGISTRATES BEFORE COUNCIL MEMBERSHIP

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Table 2 WEALTH INEQUALITY AND ELECTIONS IN EARLY MODERN GERMAN CITIES (TOP-WEALTH SHARES)

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Table 3 POLITICAL OFFICE AND WEALTH (DE CHAISEMARTIN AND D’HAULTFŒUILLE (2020, 2022) DIFF-IN-DIFF ESTIMATES)

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Figure 3 POLITICAL OFFICE AND WEALTH (DE CHAISEMARTIN AND D’HAULTFŒUILLE (2020, 2022) FLEXIBLE DIFF-IN-DIFF ESTIMATES)Notes: Regression estimates of ln-wealth (Panel A), wealth percentile (Panel B), and the probability of being part of the Top 5% of the wealth distribution (Panel C) before and after becoming a city council member (vertical dashed line), following De Chaisemartin and D’Haultfœuille (2020, 2022). This consists of estimating aggregate impacts by comparing all changers with non-changers in the respective period. The omitted base is period –1. All regressions include a full set of taxpayer and time fixed effects, a linear and a quadratic time trend. Block-bootstrapped standard errors are clustered at the household level in parentheses. Confidence intervals indicate significance at the 95-percent level.Sources: See the main text.

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Table 4 MECHANISMS: INHERITANCE, AND THE WEALTH OF MERCHANTS AND CITY CLERKS (DE CHAISEMARTIN AND D’HAULTFŒUILLE (2020, 2022) DIFF-IN-DIFF ESTIMATES)

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Figure 4 MECHANISMS: WEALTH OF CITY CLERKS (DE CHAISEMARTIN AND D’HAULTFŒUILLE (2020, 2022) FLEXIBLE DIFF-IN-DIFF ESTIMATES)Notes: Regression estimates of ln-wealth before and after becoming a city clerk (vertical dashed line), following De Chaisemartin and D’Haultfœuille (2020, 2022). This consists of estimating aggregate impacts by comparing all changers with non-changers in the respective period. The omitted base is period –1. All regressions include a full set of taxpayer and time fixed effects, a linear and a quadratic time trend. Block-bootstrapped standard errors are clustered at the household level in parentheses. Confidence intervals indicate significance at the 95-percent level.Sources: See the main text.

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Table 5 POLITICAL OFFICE AND WEALTH DURING THE 30-YEARS’ WAR (DE CHAISEMARTIN AND D’HAULTFŒUILLE (2020, 2022) DIFF-IN-DIFF ESTIMATES)

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Figure 5 POLITICAL OFFICE AND WEALTH DURING THE 30-YEARS’ WAR (DE CHAISEMARTIN AND D’HAULTFŒUILLE (2020, 2022) FLEXIBLE DIFF-IN-DIFF ESTIMATES)Notes: Regression estimates of ln-wealth (Panel A) and wealth percentile (Panel B) of being a council member during the Thirty Years’ War (vertical dashed line), following De Chaisemartin and D’Haultfœuille (2020, 2022). This consists of estimating aggregate impacts by comparing all changers with non-changers in the respective period. The omitted base is the year 1615. All regressions include a full set of taxpayer and time fixed effects, a linear and a quadratic time trend, and I control for Council member × Post. Block-bootstrapped standard errors are clustered at the household level in parentheses. Confidence intervals indicate significance at the 95-percent level.Sources: See the main text.

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Figure 6 CITY CLERKS AND WEALTH DURING THE 30-YEARS’ WAR (DE CHAISEMARTIN AND D’HAULTFŒUILLE (2020,2022) FLEXIBLE DIFF-IN-DIFF ESTIMATES)Notes: Regression estimates of ln-wealth of being a city clerk during the Thirty Years’ War (vertical dashed line), following De Chaisemartin and D’Haultfœuille (2020,2022). This consists of estimating aggregate impacts by comparing all changers with non-changers in the respective period. The omitted base is the year 1615. All regressions include a full set of taxpayer and time fixed effects, a linear and a quadratic time trend, and I control for being a city clerk. Block-bootstrapped standard errors are clustered at the household level in parentheses. Confidence intervals indicate significance at the 95-percent level.Sources: See the main text.

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