From displacements to rent control and housing justice

2021 ◽  
Vol 42 (5) ◽  
pp. 701-712
Author(s):  
Tom Slater
Keyword(s):  
Author(s):  
Noemi Schmitt ◽  
Frank Westerhoff

AbstractWe propose a novel housing market model to explore the effectiveness of rent control. Our model reveals that the expectation formation and learning behavior of boundedly rational homebuyers, switching between extrapolative and regressive expectation rules subject to their past forecasting accuracy, may create endogenous housing market dynamics. We show that policymakers may use rent control to reduce the rent level, although such policies may have undesirable effects on the house price and the housing stock. However, we are also able to prove that well-designed rent control may help policymakers to stabilize housing market dynamics, even without creating housing market distortions.


2007 ◽  
Vol 09 (03) ◽  
pp. 515-525
Author(s):  
KIMMO ERIKSSON ◽  
JONAS SJÖSTRAND

The Swedish rent control system creates a white market for swapping rental contracts and a black market for selling rental contracts. Empirical data suggests that in this black-and-white market some people act according to utility functions that are both discontinuous and locally decreasing in money. We discuss Quinzii's theorem for the nonemptiness of the core of generalized house-swapping games, and show how it can be extended to cover the Swedish game. In a second part, we show how this theorem of Quinzii and her second theorem on nonemptiness of the core in two-sided models are both special cases of a more general theorem.


2013 ◽  
pp. 360-386
Author(s):  
Robert M. Fogelson
Keyword(s):  

2018 ◽  
Vol 18 (1) ◽  
pp. 235 ◽  
Author(s):  
Walter E. Block ◽  
Harold E. Wirth ◽  
Joseph A. Butt

Most economists oppose minimum wages, rent control and protectionism. The present paper takes this opposition one step further. Well, a few steps further. It attempts to make the case that those responsible for these enactments are criminals and should be punished by law.


2005 ◽  
Vol 58 (3) ◽  
pp. 421-436 ◽  
Author(s):  
Robert Krol ◽  
Shirley Svorny
Keyword(s):  

1998 ◽  
Vol 5 (4) ◽  
pp. 25-37
Author(s):  
Steven Soifer
Keyword(s):  

2020 ◽  
Vol 27 ◽  
pp. 77-90
Author(s):  
Maria Rosaria Guarini ◽  
Antonio Nesticò ◽  
Pierluigi Morano ◽  
Francesco Sica

Green areas in urban agglomerations are strategic resource for the sustainable city development. The implementation of Urban Forestry Projects (UFP) allows on the one hand to raise the environmental quality level, improving the microclimate and preserving biodiversity, on the other hand to promote urban regeneration and promote socio-economic development by creating eco-systemic s er vices for the population. The result is a more rational land use and an increase in real estate values. Although the EU Directives show the need to promote the sustainable territory growth through the recover y and redevelopment of the built environment, the implementation of investments based on eco-system logic is rarely counted as a priority action for the city, often preferring a different allocation of available resources. The present work aims first to define an indicators set useful to express the value components – financial, social, cultural and ecological- environmental – for the UFP. These indicator s are the reference terms for the characterization of an innovative protocol of multicriteria analysis for the public operator who wants to establish the optimal distribution of funds between UFP units in limited areas of the urban fabric. The protocol uses the algorithms of mathematical programming and is tested on a case study about urban areas to be redeveloped.


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