Home ownership and rent control in Switzerland

1994 ◽  
Keyword(s):  
Home Ownership ◽  
Rent Control

scholarly journals The Home Front: Rent Control and the Rapid Wartime Increase in Home Ownership

2016 ◽  
Vol 76 (4) ◽  
pp. 1001-1043 ◽  
Author(s):  
Daniel K. Fetter
Keyword(s):  
World War Ii ◽  
Home Ownership ◽  
Empirical Test ◽  
Home Front ◽  
Rent Control ◽  
World War ◽  
Percentage Points ◽  
Ownership Rate ◽  
The U.S

The U.S. home ownership rate rose by 10 percentage points between 1940 and 1945, despite severe restrictions on construction during World War II. I investigate whether wartime rent control played a role in this shift. The empirical test exploits variation in rent reductions across cities that had similar increases in rents prior to control. This variation does not appear to be correlated with underlying trends also driving home ownership. Greater initial rent reductions led to larger increases in home ownership; rent control can account for a significant share of the increase in home ownership over the early 1940s.

Home ownership and rent control in Switzerland

1997 ◽  
Vol 12 (3) ◽  
pp. 337-353 ◽  
Author(s):  
Elia Werczberger
Keyword(s):  
Home Ownership ◽  
Rent Control

Home ownership in Saudi Arabia: Spatial Dimensions

2018 ◽  
Author(s):  
Asharaf Abdul Salam
Keyword(s):  
Saudi Arabia ◽  
Standard Deviation ◽  
Detailed Analysis ◽  
Statistical Methods ◽  
Home Ownership ◽  
Ownership Type ◽  
Chi Square ◽  
Spatial Dimensions ◽  
One Way Anova

<p>This paper undertakes a detailed analysis of 2010 Census Population and Household Tables (Final), to assess governorate wise variations in home ownership, type of living accommodations and housing infrastructure - material used for construction, electricity, water and sewage facilities.</p> <p>The data published by the Ministry of Economics and Planning in its “Population and Housing, 2010 Census” analyzed in detail using SPSS20, applying statistical methods such as, cross tabulations and chi-square; mean and standard deviation; and One-Way ANOVA. Governorates classified into small, medium and large, according to the number of Saudi persons, have been analyzed across 13 regions quantifying homeownership status. Further governorates are classified according to the percentage of owning homes in order to analyze the type of living accommodations, built up material of housing, source of electricity, water and sewage facilities. </p> <br>

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