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The Price You Pay, What Determines the Willingess to Pay for Housing?

Ödlund, Martin LU (2012) NEKN01 20121
Department of Economics
Abstract
Housing expenditure is without doubt one of the biggest expenditure posts for all households. By using econometrics to estimate regressions with cross-­‐sectional data including more than 1500 individuals, this thesis examines whether there is any individual characteristics that determines how big a share of the disposable income that is spent on housing each month. The results indicate that different factors affect the share of disposable income spent on housing depending on whether the respondent lives in a Single-­‐family house or a multi-­‐dwelling housing. It’s indicated that housing is a normal good with an increased demand as income rises.
Please use this url to cite or link to this publication:
author
Ödlund, Martin LU
supervisor
organization
course
NEKN01 20121
year
type
H1 - Master's Degree (One Year)
subject
keywords
Housing market, Willingness-to-pay, Allmännyttan, Product differentiation
language
English
id
3053989
date added to LUP
2012-09-27 11:07:02
date last changed
2012-09-27 11:07:02
@misc{3053989,
  abstract     = {{Housing expenditure is without doubt one of the biggest expenditure posts for all households. By using econometrics to estimate regressions with cross-­‐sectional data including more than 1500 individuals, this thesis examines whether there is any individual characteristics that determines how big a share of the disposable income that is spent on housing each month. The results indicate that different factors affect the share of disposable income spent on housing depending on whether the respondent lives in a Single-­‐family house or a multi-­‐dwelling housing. It’s indicated that housing is a normal good with an increased demand as income rises.}},
  author       = {{Ödlund, Martin}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{The Price You Pay, What Determines the Willingess to Pay for Housing?}},
  year         = {{2012}},
}