Residence Life and Housing Services: Why Mid‐Level Managers Are Integral to a Department's Success

2020 ◽  
Vol 2020 (189) ◽  
pp. 71-86
Author(s):  
Thomas Ellett ◽  
Christopher J. Stipeck ◽  
David Pérez
Keyword(s):  
Residence Life ◽  
Housing Services

Estimating Inter-city Differences in the Price of Housing Services: Rejoinder

Urban Studies ◽  
1983 ◽  
Vol 20 (1) ◽  
pp. 95-97
Author(s):  
Robert Gillingham ◽  
John Greenlees
Keyword(s):  
Housing Services

scholarly journals Experiences of Trans Women and Two-Spirit Persons Accessing Women-Specific Health and Housing Services in a Downtown Neighborhood of Vancouver, Canada

LGBT Health ◽  
2016 ◽  
Vol 3 (5) ◽  
pp. 373-378 ◽  
Author(s):  
Tara Lyons ◽  
Andrea Krüsi ◽  
Leslie Pierre ◽  
Adrienne Smith ◽  
Will Small ◽  
...  
Keyword(s):  
Housing Services ◽  
Trans Women ◽  
Two Spirit ◽  
Specific Health

scholarly journals Accuracy of Households’ Dwelling Valuations, Housing Demand and Mortgage Decisions: Israeli Case

2021 ◽  
Author(s):  
Alla Koblyakova ◽  
Larisa Fleishman ◽  
Orly Furman
Keyword(s):  
Academic Research ◽  
House Price ◽  
Housing Demand ◽  
Empirical Estimation ◽  
Cross Sectional ◽  
Price Expectations ◽  
Housing Services ◽  
House Price Expectations ◽  
Supply Side Factors

AbstractHousing policy, as well as academic research, are increasingly concerned with the role of bias in subjective dwelling valuations as a proximate measure of households’ house price expectations and their relationship with housing demand. This paper contributes to this area of study by exploring the possibility of simultaneous relationships between households’ price expectations and incentive to maximise the size of housing services demanded also accounting for the supply side factors and regional perspective. The empirical estimation takes the form of a system of a two simultaneous equations model applying two stage least squares estimation technique. Cross sectional estimations utilise data extracted from the Israeli Longitudinal Panel Survey (LPS) data. Applying the best available proxy for households’ price expectations, calculated as the ratio between subjective dwelling valuations (LPS) and the estimated market value of the same properties, research has identified the interrelated factors that simultaneously influence householders’ price expectations and housing demand. Results offer conceptual and empirical advantages, highlighting the imperfect nature of the housing market, as reflected by the inseparability of bias in subjective valuations and housing decisions.

The demand for housing services

2004 ◽  
Vol 13 (1) ◽  
pp. 16-35 ◽  
Author(s):  
Jeffrey E Zabel
Keyword(s):  
Housing Services
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