Non-farm Income and Consumption Expenditures in Rural Bangladesh: Empirical Evidence from Multilevel Regression Modelling

2018 ◽  
Vol 17 (2) ◽  
pp. 377-396 ◽  
Author(s):  
M. J. Hossain ◽  
A. K. M. Abdullah Al-Amin
Keyword(s):  
Empirical Evidence ◽  
Farm Income ◽  
Multilevel Regression ◽  
Consumption Expenditures ◽  
Rural Bangladesh ◽  
Regression Modelling

scholarly journals Income and Expenditure of Farm Households: A Micro Perspective

2020 ◽  
pp. 147-159
Author(s):  
K. R. Hamsa ◽  
K. B. Umesh
Keyword(s):  
Income Distribution ◽  
Food Consumption ◽  
Farm Households ◽  
Farm Income ◽  
Household Expenditure ◽  
Consumption Expenditure ◽  
Employment Opportunities ◽  
Consumption Expenditures ◽  
Food Items ◽  
Micro Level

This micro level study, conducted in the Southern Karnataka to examine the sources of income and pattern of household expenditure, revealed that farm activities are the main sources of income in both progressive and less progressive areas and non-farm and off-farm activity (mainly agricultural labour) contributes only a negligible portion. The smallholders as well as rainfed households during the slack agricultural season depend on rural non-farm activities through non- agricultural labour as the source of earning in progressive area where as in less progressive area, all the categories of farmers had their non-farm income earned majorly from house rent. Percentage of spending on various items varied with category of farmers. With the increase in income, there was increase in expenditure on non-food items, which was observed in both areas. Inequality in income distribution was less than consumption expenditure due to unequal non-food consumption expenditures in both areas. There was a relatively higher income and expenditure inequality has observed in less progressive area compared to progressive area. Overall, it was evident from the results that, even though farm income contribution was more in both areas, still improving off and non-farm employment opportunities that adds to income and helps for further savings.

scholarly journals Multilevel regression modelling to investigate variation in disease prevalence across locations

2016 ◽  
pp. dyw274 ◽  
Author(s):  
Gudrun Weinmayr ◽  
Jens Dreyhaupt ◽  
Andrea Jaensch ◽  
Francesco Forastiere ◽  
David P. Strachan
Keyword(s):  
Disease Prevalence ◽  
Multilevel Regression ◽  
Regression Modelling

scholarly journals Modelling Tax-Consumption Relationship: An Empirical Evidence from Asia

2019 ◽  
Vol 2 (2) ◽  
pp. g8-14
Author(s):  
SHU HUI TAN ◽  
MUHAMMAD ASRAF ABDULLAH
Keyword(s):  
Economic Growth ◽  
Empirical Evidence ◽  
High Volume ◽  
Household Consumption ◽  
Negative Influence ◽  
Consumption Expenditures ◽  
The Public ◽  
Absolute Income ◽  
Study Support ◽  
The Impact

This study examines the impact of tax on consumption behaviour by focusing on selected countries from Asia. The study adopts panel fixed effect and random estimators to gauge the influence of tax on consumption expenditures. Findings of the study support negative influence of tax on household consumption. The finding is parallel with the absolute income hypothesis that high volume of tax collected from the public results in falling households’ disposable incomes, hence downwardly affecting households’ consumption levels. The study’s finding implies the importance of carefully observing appropriate tax policy that suit the country’s level of development in promoting high rates of economic growth and consumption.

scholarly journals Analisis Pengaruh External Shock Terhadap Pengeluaran Konsumsi Masyarakat Indonesia

2020 ◽  
Vol 5 (1) ◽  
pp. 38-46
Author(s):  
Firsty Lubis ◽  
Keyword(s):  
Natural Disasters ◽  
Empirical Evidence ◽  
Food Consumption ◽  
Crop Loss ◽  
Household Expenditures ◽  
Consumption Expenditures ◽  
South Sulawesi ◽  
Indonesia Family Life Survey ◽  
Panel Data Regression ◽  
The Impact

Household consumption is differentiated by food and non-food consumption regardless of origin and limited to household expenditures, excluding consumption expenditures for business purposes or provided to other parties. The high risk of external shock experienced by the society in Indonesia were not supported by sufficient systems insurance and social security. This research employed panel data regression. The data used in the study is from Indonesia Family Life Survey (IFLS) data covering: IFLS 4 (2007) dan IFLS 5 (2014) which sample covers 13 provinces in Indonesia (all provinces in Java, Bali, NTB, South Sulawesi, South Kalimantan, South Sumatera, Lampung, West Sumatera and North Sumatera). This study aims to examine the effects of external shock covering including natural disasters and crop loss to the consumption level of Indonesian society. The results showed that there empirical evidence of the impact of natural disasters on food consumption expenditure in Indonesia, the empirical evidence is found significantly influenced the variables of crop loss on food household expenditure in Indonesia

Acceptability of Partner Violence in 51 Societies

2016 ◽  
Vol 23 (3) ◽  
pp. 351-367 ◽  
Author(s):  
Juan Herrero ◽  
Francisco J. Rodríguez ◽  
Andrea Torres
Keyword(s):  
Intimate Partner Violence ◽  
Empirical Evidence ◽  
Social Relationships ◽  
Partner Violence ◽  
Regression Models ◽  
Intimate Partner ◽  
Multilevel Regression ◽  
Positive Attitudes ◽  
Sexist Attitudes ◽  
The World

Sexist attitudes have been claimed to play an important role in acceptability of intimate partner violence (IPV). Empirical evidence suggests that sexist individuals are also more accepting of violence in social relationships than non-sexist individuals. Results from multilevel regression models of data from 72,730 respondents of 51 countries around the world showed that (a) both sexism and acceptability of general violence in social relationships were positively related to acceptability of IPV and (b) the highest levels of acceptability of IPV were found among those sexist individuals who also present positive attitudes toward the use of violence in social relationships.

scholarly journals Living well with chronic illness: How social support, loneliness and psychological appraisals relate to well-being in a population-based European sample

2019 ◽  
pp. 135910531988392 ◽  
Author(s):  
Rebecca Maguire ◽  
Paul Hanly ◽  
Phil Maguire
Keyword(s):  
Social Support ◽  
Social Factors ◽  
Social Contact ◽  
Well Being ◽  
Population Based ◽  
Multilevel Regression ◽  
Financial Status ◽  
Regression Modelling ◽  
Living Well ◽  
Coping With Illness

Positive social and psychological appraisals may help maintain well-being in illness, but few studies have systematically investigated this in a European context. After controlling for sociodemographic, health and objective social factors, we employed multilevel regression modelling to establish if appraisals predict well-being in three illness groups ( n = 10,577). In addition to health and financial status, positive appraisals were consistent predictors of well-being. Social appraisals had stronger associations with well-being than extent of social contact. Optimism and resilience appeared more important in those limited by health than those who were not. Findings may inform interventions aimed at supporting people coping with illness.

scholarly journals INEQUALITIES IN HEALTHY AGING: THE DIFFERENTIAL IMPACT OF EDUCATION AND WEALTH ACROSS COHORT STUDIES

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S799-S799
Author(s):  
Yu-Tzu Wu ◽  
Christina Daskalopoulou ◽  
Graciela Muniz Terrera ◽  
Martin Prince ◽  
Matthew Prina
Keyword(s):  
Cohort Studies ◽  
Healthy Aging ◽  
Effect Sizes ◽  
Future Research ◽  
Multilevel Regression ◽  
Differential Impact ◽  
Regression Modelling ◽  
Symposium Abstract ◽  
The Impact ◽  
Retirement Study

Abstract Several studies have investigated longitudinal changes in health status and functional ability but few have examined whether inequalities in healthy ageing varied across different countries. The aim of this study is to investigate trajectories of health metric scores (generated in previous symposium abstract) over the ageing process and examine the impact of education and wealth on the trajectories across eight cohorts in the ATHLOS consortium (N=135,828) using multilevel regression modelling. After adjusting for age, gender and study, higher levels of education (9.52; 95% CI: 9.30, 9.74) and wealth (8.06; 95% CI: 7.84, 8.28) were associated with higher baseline scores but had minimal impacts on decline rates. These effect sizes varied across different cohort studies and the inequality gradient was found to be strongest in the Health Retirement Study from US. Future research may investigate potential mechanisms which might explain the differential impact of education and wealth in different societies.

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