Parameter Evaluation for a Statistical Mechanical Model for Binary Choice with Social Interaction

In this paper we use a statistical mechanical model as a paradigm for educational choices when the reference population is partitioned according to the socioeconomic attributes of gender and residence. We study how educational attainment is influenced by socioeconomic attributes of gender and reside...

Full description

Saved in:
Bibliographic Details
Main Authors: Alex Akwasi Opoku, Godwin Osabutey, Charles Kwofie
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2019/3435626
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832567117424099328
author Alex Akwasi Opoku
Godwin Osabutey
Charles Kwofie
author_facet Alex Akwasi Opoku
Godwin Osabutey
Charles Kwofie
author_sort Alex Akwasi Opoku
collection DOAJ
description In this paper we use a statistical mechanical model as a paradigm for educational choices when the reference population is partitioned according to the socioeconomic attributes of gender and residence. We study how educational attainment is influenced by socioeconomic attributes of gender and residence for five selected developing countries. The model has a social and a private incentive part with coefficients measuring the influence individuals have on each other and the external influence on individuals, respectively. The methods of partial least squares and the ordinary least squares are, respectively, used to estimate the parameters of the interacting and the noninteracting models. This work differs from the previous work that motivated this work in the following sense: (a) the reference population is divided into subgroups with unequal subgroup sizes, (b) the proportion of individuals in each of the subgroups may depend on the population size N, and (c) the method of partial least squares is used for estimating the parameters of the model with social interaction as opposed to the least squares method used in the earlier work.
format Article
id doaj-art-a100c04061154e73a34feb7af12c60e0
institution Kabale University
issn 1687-952X
1687-9538
language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Journal of Probability and Statistics
spelling doaj-art-a100c04061154e73a34feb7af12c60e02025-02-03T01:02:16ZengWileyJournal of Probability and Statistics1687-952X1687-95382019-01-01201910.1155/2019/34356263435626Parameter Evaluation for a Statistical Mechanical Model for Binary Choice with Social InteractionAlex Akwasi Opoku0Godwin Osabutey1Charles Kwofie2Mathematics and Statistics Department, University of Energy and Natural Resources, P. O. Box 214, Sunyani, GhanaMathematics and Statistics Department, University of Energy and Natural Resources, P. O. Box 214, Sunyani, GhanaMathematics and Statistics Department, University of Energy and Natural Resources, P. O. Box 214, Sunyani, GhanaIn this paper we use a statistical mechanical model as a paradigm for educational choices when the reference population is partitioned according to the socioeconomic attributes of gender and residence. We study how educational attainment is influenced by socioeconomic attributes of gender and residence for five selected developing countries. The model has a social and a private incentive part with coefficients measuring the influence individuals have on each other and the external influence on individuals, respectively. The methods of partial least squares and the ordinary least squares are, respectively, used to estimate the parameters of the interacting and the noninteracting models. This work differs from the previous work that motivated this work in the following sense: (a) the reference population is divided into subgroups with unequal subgroup sizes, (b) the proportion of individuals in each of the subgroups may depend on the population size N, and (c) the method of partial least squares is used for estimating the parameters of the model with social interaction as opposed to the least squares method used in the earlier work.http://dx.doi.org/10.1155/2019/3435626
spellingShingle Alex Akwasi Opoku
Godwin Osabutey
Charles Kwofie
Parameter Evaluation for a Statistical Mechanical Model for Binary Choice with Social Interaction
Journal of Probability and Statistics
title Parameter Evaluation for a Statistical Mechanical Model for Binary Choice with Social Interaction
title_full Parameter Evaluation for a Statistical Mechanical Model for Binary Choice with Social Interaction
title_fullStr Parameter Evaluation for a Statistical Mechanical Model for Binary Choice with Social Interaction
title_full_unstemmed Parameter Evaluation for a Statistical Mechanical Model for Binary Choice with Social Interaction
title_short Parameter Evaluation for a Statistical Mechanical Model for Binary Choice with Social Interaction
title_sort parameter evaluation for a statistical mechanical model for binary choice with social interaction
url http://dx.doi.org/10.1155/2019/3435626
work_keys_str_mv AT alexakwasiopoku parameterevaluationforastatisticalmechanicalmodelforbinarychoicewithsocialinteraction
AT godwinosabutey parameterevaluationforastatisticalmechanicalmodelforbinarychoicewithsocialinteraction
AT charleskwofie parameterevaluationforastatisticalmechanicalmodelforbinarychoicewithsocialinteraction