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The Statistical Analysis of Resident...

Adedo, Zainab Omotola.

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The Statistical Analysis of Residential Property Pricing in the Era of Big Data for the Cook County, Illinois.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Statistical Analysis of Residential Property Pricing in the Era of Big Data for the Cook County, Illinois./
Author:	Adedo, Zainab Omotola.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	81 p.
Notes:	Source: Masters Abstracts International, Volume: 85-08.
Contained By:	Masters Abstracts International85-08.
Subject:	Urban planning. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30817864
ISBN:	9798381681987

The Statistical Analysis of Residential Property Pricing in the Era of Big Data for the Cook County, Illinois.
Adedo, Zainab Omotola.

The Statistical Analysis of Residential Property Pricing in the Era of Big Data for the Cook County, Illinois. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 81 p.

Source: Masters Abstracts International, Volume: 85-08.

Thesis (M.U.R.P.)--Alabama Agricultural and Mechanical University, 2023.

In the period of big data, advances in applicable technologies are profoundly impacting the field of real estate appraisal. numerous scholars regard the integration of big data technology as an ineluctable unborn trend in the real estate appraisal assiduity. Real estate products have a value just like any other items, and real estate scholars disagree about whether or not the methods adopted in arriving at this value are appropriate. While there are various ways to determine property pricing, the accuracy of these assessments and prices has come under intense scrutiny. Therefore, this is what big data analytics wants to solve in the determinants affecting the price of residential property through the use of a large array of data from US census data for Cook County, Illinois.The goal of this study is to explore and access the determinants affecting the price of residential properties. The research design used in this study is quantitative, and in order to get a relevant result, both the descriptive statistical approach, correlation analysis, and multiple regression were adopted.According to the results, the type of residence and land square have a positive correlation with the sale price; this means that the larger the land, the higher sale price. Furthermore, there is a negative correlation between age and use and sale price, meaning that the older a residential property, the lower its return. People prefer to be in complete control of their surroundings, which is supported by the negative coefficient of usage in the result, which indicates that single-family homes are more expensive than multifamily ones.

ISBN: 9798381681987Subjects--Topical Terms:

2122922
Urban planning.
Subjects--Index Terms:

Computerized information

The Statistical Analysis of Residential Property Pricing in the Era of Big Data for the Cook County, Illinois.
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245 1 0 $a The Statistical Analysis of Residential Property Pricing in the Era of Big Data for the Cook County, Illinois.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 81 p.
500 $a Source: Masters Abstracts International, Volume: 85-08.
500 $a Advisor: Rukmana, Deden.
502 $a Thesis (M.U.R.P.)--Alabama Agricultural and Mechanical University, 2023.
520 $a In the period of big data, advances in applicable technologies are profoundly impacting the field of real estate appraisal. numerous scholars regard the integration of big data technology as an ineluctable unborn trend in the real estate appraisal assiduity. Real estate products have a value just like any other items, and real estate scholars disagree about whether or not the methods adopted in arriving at this value are appropriate. While there are various ways to determine property pricing, the accuracy of these assessments and prices has come under intense scrutiny. Therefore, this is what big data analytics wants to solve in the determinants affecting the price of residential property through the use of a large array of data from US census data for Cook County, Illinois.The goal of this study is to explore and access the determinants affecting the price of residential properties. The research design used in this study is quantitative, and in order to get a relevant result, both the descriptive statistical approach, correlation analysis, and multiple regression were adopted.According to the results, the type of residence and land square have a positive correlation with the sale price; this means that the larger the land, the higher sale price. Furthermore, there is a negative correlation between age and use and sale price, meaning that the older a residential property, the lower its return. People prefer to be in complete control of their surroundings, which is supported by the negative coefficient of usage in the result, which indicates that single-family homes are more expensive than multifamily ones.
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653 $a Statistical analysis
653 $a Valuation
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