Housing Rent Dynamics in Voi Town and its Environs

Bachelor Thesis , 2022 , 43 Pages , Grade: 78.00

Economics - Case Scenarios

Housing, or more general living spaces, is a fundamental aspect of existence, giving shelter, protection, warmth, and a place to rest for human beings. This study aimed at analyzing changes in rental price with particular emphasis on Voi town and its environs. In our study, we wished to determine the common types of houses rented in Voi, the amount paid as rent and the key determinants of house rent in Voi

Structured questionnaires executed on a Kobo-Collect mobile data collection platform was used to gather data. A sample size of 384 households was obtained from 23 locations within Voi and its environs. The data was analyzed using both qualitative and quantitative methods. A Multiple linear regression model was employed to identify the determinant of house rent prices in Voi and its environs.

Inhaltsverzeichnis (Table of Contents)

• ACKNOWLEDGEMENT
• CHAPTER ONE: INTRODUCTION
  • 1.1 Background.
  • 1.2 Statement of the problem.
  • 1.3 Significance of the study..
  • 1.4 Objectives........
    • 1.4.1 General objective.
    • 1.4.2 Specific objectives.....
• CHAPTER TWO: LITERATURE REVIEW
  • 2.1 Theoretical review
    • 2.1.1 Smith's gap theory.
    • 2.1.2 Information asymmetry theory
    • 2.1.3 Maximum housing expenditure theory...
    • 2.1.4 The residual income approach .....
    • 2.1.5 Heterogeneity theory.
  • 2.2 Conceptual framework.
  • 2.3.1 Type of house and its influence on rental price
  • 2.3.2 Housing demand and its influence on rental growth......
  • 2.3.3 Structural characteristics and their influence on rental prices
  • 2.3.4 Household income and its relation to rental prices
• CHAPTER THREE: RESEARCH METHODOLOGY
  • 3.1 Overview
  • 3.2 Research Design .....
  • 3.3 Target population and sampling .
  • 3.4 Data collection methods and instruments.
    • 3.4.1 Source of data
    • 3.4.2 Collection of data.
  • 3.5 Data management.
  • 3.6 Ethical consideration...\n3
  • 3.7 Data analysis strategies.
• CHAPTER FOUR: DATA ANALYSIS, PRESENTATION, INTERPRETATION, AND DISCUSSION
  • 4.1 Introduction.
  • 4.2 Descriptive statistics
    • 4.2.1 Distribution of households by the place of residence. .......
    • 4.2.2 Distribution of type of the house...
    • 4.2.3 Average rent by type of house.
    • 4.2.5 Status of the floor..\n
    • 4.2.6 Main wall Material.
  • 4.3 Inferential Statistics.
    • 4.3.1 Multiple linear regression analysis..\n
    • 4.3.2 Model summary.
    • 4.3.3 Coefficients..\n

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This project seeks to examine the dynamics of housing rent in Voi Town and its environs, providing a thorough analysis of factors influencing rental prices. The study aims to understand the relationship between various housing characteristics and rental costs, ultimately contributing to a better understanding of the housing market in the area.

• The influence of housing type on rental prices.
• The impact of housing demand on rental growth.
• The relationship between structural characteristics and rental costs.
• The connection between household income and rental prices.
• The application of statistical methods to analyze rental dynamics.

Zusammenfassung der Kapitel (Chapter Summaries)

Chapter one introduces the research problem, highlighting the significance of understanding housing rent dynamics in Voi Town and its environs. It outlines the objectives of the study, providing a framework for the subsequent analysis.

Chapter two reviews relevant literature, exploring theoretical frameworks that explain housing rent dynamics. This section delves into various theories, including Smith's gap theory, information asymmetry theory, and the residual income approach. It also presents a conceptual framework outlining the key variables and their relationships, guiding the research.

Chapter three details the research methodology employed in the study. It describes the research design, target population, and sampling methods. The chapter outlines data collection methods and instruments, including the source of data and procedures for data management. It also discusses ethical considerations and data analysis strategies used in the study.

Chapter four delves into data analysis, presentation, interpretation, and discussion. This section presents descriptive statistics, including distributions of households by residence and type of house, average rent by type of house, and analyses of floor status and main wall materials. It further explores inferential statistics, specifically through multiple linear regression analysis to assess the relationship between various variables and rental prices.

Schlüsselwörter (Keywords)

This research focuses on housing rent dynamics in Voi Town and its environs, employing various statistical techniques to analyze the relationship between housing characteristics and rental prices. Key keywords include housing rent dynamics, Voi Town, statistical analysis, housing characteristics, rental prices, and regression analysis.

• Course: Bsc.Statistics
• Grade: 78.00
• Author: Reuben Madava (Author)
• Publication Year: 2022
• Pages: 43
• Catalog Number: V1195499
• ISBN (PDF): 9783346642295
• ISBN (Book): 9783346642301
• Language: English, Middle (1100-1500)
• Tags: housing, rent, dynamics, town, environs