Issues in the construction of wealth indices for the measurement of socio-economic position in low-income countries

Howe, Laura D; Hargreaves, James; Huttly, Sharon

doi:10.1186/1742-7622-5-3

Cited by 358 publications

(359 citation statements)

References 29 publications

Supporting

Mentioning

342

Contrasting

Unclassified

Order By: Relevance

“…The wealth variable could potentially be endogenous, if the adoption of mobile money leads to greater efficiency in households' business operations and accordingly to higher profits. We try to minimize the endogeneity of the wealth variable by choosing an asset index to measure wealth, which responds more slowly to changes in income flows (Lindelow, 2006;Howe et al, 2008). In addition, we explore how sensitive our results are to the exclusion of the wealth variable.…”

Section: Econometric Resultsmentioning

confidence: 99%

Social Network Effects on Mobile Money Adoption in Uganda

Murendo

Wollni

Brauw

et al. 2017

The Journal of Development Studies

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. -551-3920212, fax: +49-551-3920203, e-mail: conrad.murendo@agr.uni-goettingen.de Abstract Social networks play a vital role in generating social learning and information exchange that can drive the diffusion of new financial innovations. This is particularly relevant for developing countries where education, extension and financial information services are underprovided. The recent introduction of mobile money in Africa represents a case where imperfect financial markets, weak extension services and information asymmetries limit the ability of rural households to make informed decisions to take advantage of mobile money innovation. This article identifies the role of social networks in the adoption of mobile money in Uganda. Using data from a survey of 477 rural households, a probit model is estimated controlling for household characteristics, correlated effects, and other possible information sources. Results suggest that learning within social networks helps disseminate information about mobile money and has enhanced its adoption. Compared to poor households, non-poor households rely more on social networks for information about mobile money. Mobile money adoption is likely to be enhanced if promotion programs reach more social networks. Terms of use: Documents in

show abstract

Section: Econometric Resultsmentioning

confidence: 99%

Social Network Effects on Mobile Money Adoption in Uganda

Murendo

Wollni

Brauw

et al. 2017

The Journal of Development Studies

View full text Add to dashboard Cite

show abstract

“…Principal Component Analysis (PCA) was used to determine household wealth index from information collected on housing quality (floor, walls, and roof material), source of drinking water, type of toilet facility, the presence of electricity, type of cooking fuel, and ownership of modern household durable goods (e.g. bicycle, television, radio, motorcycle, sewing machine, telephone, cars, refrigerator, mattress, bed, computer and mobile phone) [30–33]. …”

Section: Methodsmentioning

confidence: 99%

Relationship between agricultural biodiversity and dietary diversity of children aged 6-36 months in rural areas of Northern Ghana

Saaka

Osman

Hoeschle‐Zeledon

2017

Food & Nutrition Research

View full text Add to dashboard Cite

In this study, we investigated the relationship between agricultural biodiversity and dietary diversity of children and whether factors such as economic access may affect this relationship.This paper is based on data collected in a baseline cross-sectional survey in November 2013.The study population comprising 1200 mother-child pairs was selected using a two-stage cluster sampling. Dietary diversity was defined as the number of food groups consumed 24 h prior to the assessment. The number of crop and livestock species produced on a farm was used as the measure of production diversity. Hierarchical regression analysis was used to identify predictors and test for interactions.Whereas the average production diversity score was 4.7 ± 1.6, only 42.4% of households consumed at least four food groups out of seven over the preceding 24-h recall period. Agricultural biodiversity (i.e. variety of animals kept and food groups produced) associated positively with dietary diversity of children aged 6–36 months but the relationship was moderated by household socioeconomic status. The interaction term was also statistically significant [β = −0.08 (95% CI: −0.05, −0.01, p = 0.001)].Spearman correlation (rho) analysis showed that agricultural biodiversity was positively associated with individual dietary diversity of the child more among children of low socioeconomic status in rural households compared to children of high socioeconomic status (r = 0.93, p < 0.001 versus r = 0.08, p = 0.007). Socioeconomic status of the household also partially mediated the link between agricultural biodiversity and dietary diversity of a child’s diet.The effect of increased agricultural biodiversity on dietary diversity was significantly higher in households of lower socioeconomic status. Therefore, improvement of agricultural biodiversity could be one of the best approaches for ensuring diverse diets especially for households of lower socioeconomic status in rural areas of Northern Ghana.

show abstract

“…The essential function of the criterion validity is to define the relationship between test results (here, the score on the heat-adaptation index) and another criterion considered to be a major indicator of the construct to study (Hogan 2007). This indicator corresponds to the self-reported adverse health impacts.…”

Section: Criterion-related Validity Of the Indexmentioning

confidence: 99%

An adaptation index to high summer heat associated with adverse health impacts in deprived neighborhoods

et al. 2015

View full text Add to dashboard Cite

Socially and materially disadvantaged urban areas present a group of factors strongly correlated with high heat and humidity adverse health effects, particularly in densely populated cities where the heat island effect extends over large areas. This paper presents an adaptation index to high summer heat whose validity was tested by correlating it with selfreported adverse health impacts to heat. The data comes from a 2011 cross-sectional study conducted in the most deprived areas in 9 cities of 100,000 or more inhabitants in Quebec (Canada). In total, 3,485 people were interviewed at home. An index of various behavioral adaptations was developed using a Multiple Correspondence Analysis. This individual-level adaptation index summarizes a range of 14 easy-to-use and energy-efficient solutions for cooling off or protecting oneself against the sun, both at home and in other places, whether indoors or out. In addition, it shows that adaptation to heat goes beyond air conditioning in the home. People who experience adverse effects of heat on their health tend to adopt more of the behaviors measured by the index than those perceiving little or none, regardless of their age group or presence of air conditioning at home. Monitoring and improving this index over time Climatic Change (2015) 132:279-293 DOI 10.1007/s10584-015-1420 Electronic supplementary material The online version of this article (doi:10.1007/s10584-015-1420-4) contains supplementary material, which is available to authorized users. Ouranos, Montréal, QC, Canada and in several populations and contexts would establish a significant milestone for adaptation in health promotion and prevention.

show abstract

Issues in the construction of wealth indices for the measurement of socio-economic position in low-income countries

Cited by 358 publications

References 29 publications

Social Network Effects on Mobile Money Adoption in Uganda

Social Network Effects on Mobile Money Adoption in Uganda

Relationship between agricultural biodiversity and dietary diversity of children aged 6-36 months in rural areas of Northern Ghana

An adaptation index to high summer heat associated with adverse health impacts in deprived neighborhoods

Contact Info

Product

Resources

About