Graduate Thesis Or Dissertation
 

The distribution of home, business, and speculative real estate ownership among income classes

Pubblico Deposited

Contenuto scaricabile

Scarica il pdf
https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/76537461b

Descriptions

Attribute NameValues
Creator
Abstract
  • Public policy structured to treat "market failures" related to land use (through restructuring property rights) must be evaluated in terms of its potential impacts not only upon social efficiency, but also upon the distributions of wealth and income associated with real estate ownership. Analyses of basic relationships between forms of real estate ownership, and wealth and income levels provide a benchmark from which to evaluate potential changes in the wealth and income positions of real estate owners affected by public land use policy. Hence, the main objective of this study was to estimate and analyze descriptors of the distribution of real estate ownership by income class. Particular emphasis was given to analysis of institutional and economic forces which help to explain an individual's ownership in one or another form of real estate. This analysis provided a basis for the following hypotheses: 1. The proportion of wealth devoted to home real estate is inversely related to the investor's level of wealth. 2. The proportion of wealth devoted to business real estate is directly related to the investor's level of wealth. 3. The proportion of wealth devoted to speculative real estate is directly related to the investor's level of wealth. The empirical base used to test these hypotheses, and obtain the objective came from published national samples for the early 1960s and 1970s. Statistical results provided, primarily, confirming evidence on these hypotheses.
Resource Type
Date Available
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Committee Member
Academic Affiliation
Non-Academic Affiliation
Subject
Dichiarazione dei diritti
Publisher
Peer Reviewed
Language
Digitization Specifications
  • File scanned at 300 ppi (Monochrome) using Scamax Scan+ V.1.0.32.10766 on a Scanmax 412CD by InoTec in PDF format. LuraDocument PDF Compressor V.5.8.71.50 used for pdf compression and textual OCR.
Replaces

Le relazioni

Parents:

This work has no parents.

In Collection:

Elementi