The Analysis and Forecast of Housing Requirements: Tenure Switching in a Local Housing Market

1981 ◽  
Vol 13 (1) ◽  
pp. 57-64
Author(s):  
R K Wilkinson ◽  
I A Law
Keyword(s):  
Regression Analysis ◽  
Housing Market ◽  
Least Squares ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Local Authority ◽  
Ordinary Least Squares ◽  
Reduced Form ◽  
Annual Number ◽  
Demand Structure

Data collected by a local authority housing department are analysed in order to test a model forecasting the annual number of households moving out into owner occupation. The reduced form of the model is estimated by means of ordinary least squares multiple regression analysis, and the demand structure is estimated by means of two-stage least squares for comparison. Despite problems of autocorrelation the results are sensible and suggest that further work on these lines is likely to be worthwhile not least for a local authority involved in planning the housing requirements of a region.

GENDER ANALYSIS OF ASSET DISTRIBUTION AND CHILDREN’S SCHOOLING AMONG RURAL HOUSEHOLDS IN OGUN STATE, NIGERIA

2020 ◽  
Vol 15 (2) ◽  
pp. 27-36
Author(s):  
E. O. OYEDEPO ◽  
C. A. AFOLAMI ◽  
C. A. AFOLAMI ◽  
A. E. OBAYELU
Keyword(s):  
Regression Analysis ◽  
Least Squares ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Rural Households ◽  
Ordinary Least Squares ◽  
Asset Ownership ◽  
Distribution Of Wealth ◽  
Ogun State ◽  
Asset Distribution

There is growing evidence that the gender distribution of wealth matters especially considering the fact that asset ownership is related to wellbeing, women empowerment and poverty alleviation. Not much is known about the gender distribution of wealth in the rural areas in Ogun state, Nigeria. This study assessed gender and asset distribution in Ogun State, South-west Nigeria using cross-sectional data collected from a total of 260 households selected through a five stage sampling procedure. The data were analysed using descriptive statistics and ordinary least squares multiple regression analysis. The findings from the study shows that an average rural household in the sample was made up of six persons and households were predominantly headed by males (88%). The mean worth of households’ physical assets was ₦1,402,791.00, about 15% of which was owned by women. The ordinary least squares multiple regression analysis revealed that women’s share of assets had a positive influence (P<0.05) on the number of years of formal education completed by children below eighteen years. The education of father and mother were also significant at (P < 0.05) and (P < 0.01) respectively and these show that children have longer access to education when parents have at least secondary school education. Some identified constraints to women asset ownership in the study area were lack of capital (67%), domestic challenges (65%), cultural barriers to female inheritance (56%), and unemployment (52%). Based on these findings it is recommended that women should be encouraged to own more assets so as to be able to positively affect their children’s welfare in terms of education. The economic situation of women can be enhanced by promoting their access to productive assets through indigenous savings and credit associations. The rural households should further be exposed to awareness talks through extension agents stressing the values of education to all in our contemporary world.    

scholarly journals Determinant of Poverty in Indonesian’s Province: A Review of Public Policy

2019 ◽  
Vol 15 (1) ◽  
pp. 59-80
Author(s):  
Radite Teguh Handalani
Keyword(s):  
Regression Analysis ◽  
Least Squares ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Poverty Alleviation ◽  
Ordinary Least Squares ◽  
Social Aspects ◽  
Poor People ◽  
Related Aspect ◽  
Representative Model

This study aims to analyze poverty which is complex and multidimensional in terms of several aspects: physical and demographic, economic, social and behavioral aspect. However, the study of poverty problems often constrained by incompleteness and data integrity and it causes limitations on variables and aspects to be studied. Unlike some previous studies, the variables examined in this study not only underlie the study of poverty on the economic aspects and the concept of growth. However, this study was also included demographic aspects and physical mastery of resources, social aspects on education and human development index and aspect of behavior (lifestyle). This approach was applied to avoid hinder on poverty alleviation analysis due to data limitation with an adequate spectrum and dimensions so as to produce a representative model in finding determiner of poverty alleviation in Indonesia and its alternative policies. The method used in this study was carried out with a series of tests and multiple regression analysis using the ordinary least squares (OLS) method. Findings from study which used thirteen variables on related aspect of demographic, economic, social and behavioral aspects generated four variables that significantly influence the decline in the number of poor people in Indonesia. Keywords: Poverty Alleviation, Ordinary Least Squares (OLS), Determinant of Poverty, Multiple Regression Analysis   Abstrak Penelitian ini bertujuan untuk melakukan kajian tentang kemiskinan yang bersifat kompleks dan multidimensi ditinjau dari beberapa aspek kehidupan yaitu: aspek fisik dan demografi, ekonomi, sosial dan aspek budaya (perilaku). Namun, kajian masalah kemiskinan, seringkali terkendala oleh ketidaklengkapan dan integritas data sehingga menyebabkan keterbatasan pada variabel dan aspek yang hendak diteliti. Berbeda dengan beberapa penelitian sebelumnya variabel yang dikaji dalam penelitian ini tidak hanya melandasi kajian tentang kemiskinan hanya pada aspek ekonomi dan konsep pertumbuhan. Namun penelitian ini juga memasukan aspek demografi dan penguasan fisik sumber daya, aspek sosial berupa pendidikan dan indeks pembangunan manusia dan aspek perilaku (gaya hidup). Pendekatan ini dilakukan dengan tujuan agar keterbatasan data tidak menghalangi analisis tentang upaya pengentasan kemiskinan dengan spektrum dan dimensi yang memadai, sehingga dapat menghasilkan model yang representatif dalam menemukan variabel determinan dalam pengentasan kemiskinan di Indonesia beserta alternatif kebijakannya. Metode yang digunakan dalam penelitian ini dilakukan dengan serangkaian pengujian dan analisis regresi berganda menggunakan metode ordinary least squares (OLS). Temuan dalam penelitian yang menggunakan 13 variabel yang terkait aspek demografi, ekonomi, sosial dan perilaku terdapat empat variabel berpengaruh signifikan terhadap penurunan jumlah penduduk miskin di Indonesia. Kata Kunci: Pengentasan Kemiskinan, Ordinary Least Squares (OLS), Determinant of Poverty, Regresi Berganda

scholarly journals The impact of government debt on public finance stability in Lithuania

2019 ◽  
Author(s):  
Liucija Birškytė
Keyword(s):  
Public Finance ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Financial Stability ◽  
Government Debt ◽  
Ordinary Least Squares ◽  
Small Sample ◽  
Series Data ◽  
The Impact

Purpose – though the global financial crisis is well behind us several EU countries continue to experience problems with public finance stability and need to cope with the consequences of high public debt. The purpose of the article is to find the relationship between government debt and of public finance stability in Lithuania. Research methodology – in order to achieve the aim of the article Financial Stability Index (FSI) for Lithuania has been created. It is based on theory and previous research. To find the determinants of FSI the multiple regression analysis model was specified and tested using Ordinary Least Squares (OLS). Findings – the results of multiple regression analysis indicate the government debt has a statistically significant impact on FSI, ceteris paribus. Other findings of the research show that profit or loss of the non-financial sector, foreign trade balance as well as a foreign direct investment are significant determinants of public finance stability. Research limitations – one of the limitations of this research is the small sample size that has an impact on the validity and generalizability of the results. Having a longer time-series data or panel data for more countries would improve the robustness and applicability of research results. Practical implications – the results of the research provide guidance to policymakers in the public finance area. Originality/Value − this paper contributes to the scarce literature on government debt and other determinants of financial stability in Lithuania

scholarly journals Litter live weight at birth with varying levels of D’Man germplasm

1988 ◽  
Vol 60 (6) ◽  
pp. 599-601
Author(s):  
M. Bourfia ◽  
R. W. Touchberry
Keyword(s):  
Regression Analysis ◽  
Least Squares ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Fixed Effects ◽  
Live Weight ◽  
Factorial Analysis ◽  
Additive Effects ◽  
Breed Group ◽  
Sire Breed

A total of 208 litter birth weights, with live lambs produced in the northwest of Morocco was analyzed both by factorial analysis and by multiple regression analysis using least squares procedure. In the first model, breed group of dam and age of dam were included as fixed effects. In the second model, maternal additive and heterotic effects were included instead of breed group of dam. Results of the first analysis indicated that breed group of dam influenced litter live weight at birth (LLWB). The crossbred S x D dams (with the sire breed listed first), and the purebred D’Man dams produced the heaviest live litters, in average 4.25 and 4.08 kg, respectively. The purebred Beni Guil dams produced the lightest live litter, 3.32 kg in average. The second analysis showed that maternal additive effects were important for LLWB, and that maternal heterosis was of little importance. The ranking of maternal additive breed effects for LLWB was D’Man, Sardi, and Beni Guil in descending order.

Statistical Considerations in X-Ray Fluorescence Analysis

1975 ◽  
Vol 19 ◽  
pp. 53-73 ◽  
Author(s):  
M. A. Short
Keyword(s):  
Regression Analysis ◽  
Standard Deviation ◽  
Least Squares ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Fluorescence Analysis ◽  
Single Element ◽  
X Ray ◽  
Experimental Parameters

The role of statistics in certain areas of X-ray fluorescence analysis is considered. The topics discussed include: calculating the standard deviation associated with the result of an analysis; optimizing experimental parameters for both wavelength and energy dispersive analyses; evaluating limits of detection, limits of decision, and limits of determination; and weighting in the least squares fitting of data in single element polynomial relationships and in multi-element multiple regression analysis.

Pengaruh Citra Merek, Kualitas Produk Dan Harga Terhadap Kepuasan Konsumen Pada Bisnis Franchise Minuman

2017 ◽  
Vol 24 (2) ◽  
pp. 144-153
Author(s):  
Yunita Fitri Wahyuningtyas
Keyword(s):  
Regression Analysis ◽  
Marketing Strategy ◽  
Product Quality ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Sampling Method ◽  
Sampling Technique ◽  
Sampling Process ◽  
And Function ◽  
Simultaneous Influence

This research is conducted upon the emergence of many companies producing the same product of the same kind and function. It leads to the urgency of proper and well planned marketing strategy. This research aims to investigate how far the influence of branding, product quality, and price toward consumer’s satisfaction in beverage franchise business. This research utilizes 5 likert scale questionnaire which is tested by using multiple regression analysis to reveal whether or not there is partial and simultaneous influence of branding, product quality, and price toward consumer’s satisfaction in beverage franchise business. Sampling method is accidental sampling technique, in which sample of particular population is taken based on the accessibility and availability of the sample during the sampling process. Sample used is 100 samples among consumers or customers of Mang Endy Milkshake. The result shows that branding, product quality, and price influence consumer’s satisfaction in beverage franchise business.

Significance of Experience, Farm Size, Quantity of Propagules and Location f or Seaweed Farmers in the Divided Island of Sebatik

2018 ◽  
Vol 9 (9) ◽  
pp. 825-832
Author(s):  
James M. Alin ◽  
◽  
Datu Razali Datu Eranza ◽  
Arsiah Bahron ◽  
◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Production Function ◽  
Weather Conditions ◽  
Education Level ◽  
Farm Size ◽  
Total Production ◽  
Explanatory Factors ◽  
Douglas Production Function

Seaweed-Kappaphycus-Euchema Cottonii and Denticulum species was first cultivated at Sabah side of Sebatik in 2009. By November 2014, sixty one Sabahan seaweed farmers cultivated 122 ha or 3,050 long lines. Thirty Sabahan seaweed farmers in Kampung Pendekar (3.2 m.t dried) and 31 in Burst Point (12.5 m.t dried) produced 16 metric tonnes of dried seaweed contributed 31% to Tawau’s total production (51 m.t). The remaining 69% were from farmers in Cowie Bay that separates Sebatik from municipality of Tawau. Indonesian in Desa Setabu, Sebatik started in 2008. However, the number of Indonesian seaweed farmers, their cultivated areas and production (as well as quality) in Sebatik increased many times higher and faster than the Sabah side of Sebatik. In 2009 more than 1,401 households in Kabupaten Nunukan (including Sebatik) cultivated over 700 ha and have produced 55,098.95 and 116, 73 m.t dried seaweed in 2010 and 2011 respectively. There is a divergence in productions from farming the sea off the same island under similar weather conditions. Which of the eight explanatory factors were affecting production of seaweeds in Sebatik? Using Cobb Douglas production function, Multiple Regression analysis was conducted on 100 samples (50 Sabahan and 50 Indonesian). Results; Variable significant at α = 0.05% are Experience in farming whereas Farm size; Quantity of propagules and Location — Dummy are the variables significant at α 0.01%. Not significant are variables Fuel; Age; Number of family members involved in farming and Education level.

Adiksi Internet pada Remaja

2019 ◽  
Vol 7 (1) ◽  
pp. 72-78
Author(s):  
Ismalia Prambayu ◽  
Mulia Sari Dewi
Keyword(s):  
Regression Analysis ◽  
Social Skills ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Parenting Style ◽  
Internet Addiction ◽  
Psychological Factors ◽  
Social Skill ◽  
Analysis Method ◽  
Loneliness Scale

AbstractInternet addiction has become a worrying phenomenon for Indonesian teenagers. This research was conducted to determine whether the psychological factors will influence internet addiction in adolescents. This research uses quantitative with multiple regression analysis method. The winning sample is 200 adolescents. The instrument collects data using a scale internet addiction scale that compiled by Griffiths (2005) and developed by Lemmens (2009), Parenting Authority Questionnaire (PAQ) developed by Buri (1991), Social Skill Inventory (SSI) developed by Riggio (1986), and A Rasch-Type Loneliness Scale compiled by De Jong Gierveld (2006).  The results showed that there were significant differences in the parenting style, social skills, and loneliness on the tendency of internet addiction in adolescents.AbstrakAdiksi Internet menjadi salah satu fenomena yang mengkhawatirkan untuk remaja Indonesia. Penelitian ini dilakukan untuk mengetahui faktor psikologis apakah yang memberikan pengaruh terhadap kecenderungan adiksi internet pada remaja. Sampel pada penelitian ini berjumlah 200 remaja dengan menggunakan metode analisis kuantitatif. Penelitian ini menggunakan alat ukur sebagai berikut, alat ukur adiksi internet yang dikembangkan oleh Lemmens (2009), Parenting Authority Questionnaire (PAQ) yang dikembangkan oleh Buri (1991), Social Skill Inventory (SSI) yang dikembangkan oleh Riggio (1986), dan A Rasch-Type Loneliness Scale yang disusun oleh De Jong Gierveld (2006). Berdasarkan hasil pengujian ditemukan pengaruh signifikan gaya pengasuhan, keterampilan sosial, dan kesepian terhadap kecenderungan adiksi internet pada remaja.

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