Arbeitspapier

Measuring stick-style housing policies: A multi-country longitudinal database of governmental regulations

This paper introduces a new international longitudinal database of governmental housing policies. The regulations are measured using binary variables based on a thorough analysis of the real-time country-specific legislation. Three major restrictive policies are considered: rent control, protection from restriction, and housing rationing. The database covers 47 countries and states between 1910 and 2018. This allows comparisons of regulation stringency across both time and space. The analysis reveals a surge of all restrictive policies in the first half of the 20th century. However, following World War II, the evolution of policies diverged: while rent control became more flexible or was phased out, tenure security stabilized at a high level or even increased, while housing rationing became used less frequently. An application of dynamic multivariate longitudinal clustering permits dividing the sample in two groups. One cluster comprises countries with more flexible rent control, stronger tenure security, and more housing rationing. It mostly includes European continental countries. Another cluster unifies countries with a more rigid rent control, weaker tenant protection, and rarely used housing rationing.

Language
Englisch

Bibliographic citation
Series: DIW Discussion Papers ; No. 1727

Classification
Wirtschaft
Index Numbers and Aggregation; Leading indicators
Economic Development: Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
Production Analysis and Firm Location: Government Policy
Subject
regulation indices
rent control
tenure security
housing rationing

Event
Geistige Schöpfung
(who)
Cholodilin, Konstantin A.
Event
Veröffentlichung
(who)
Deutsches Institut für Wirtschaftsforschung (DIW)
(where)
Berlin
(when)
2018

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Cholodilin, Konstantin A.
  • Deutsches Institut für Wirtschaftsforschung (DIW)

Time of origin

  • 2018

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