scholarly journals A Bayesian Approach to Linking a Survey and a Census via Small Areas

Stats ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 509-528
Author(s):  
Balgobin Nandram
Keyword(s):  
Weighted Least Squares ◽  
Homogeneous Model ◽  
Projection Methods ◽  
Posterior Density ◽  
Heterogeneous Model ◽  
Small Areas ◽  
Household Level ◽  
Individual Level ◽  
Level Data ◽  
Dirichlet Model

We predict the finite population proportion of a small area when individual-level data are available from a survey and more extensive household-level (not individual-level) data (covariates but not responses) are available from a census. The census and the survey consist of the same strata and primary sampling units (PSU, or wards) that are matched, but the households are not matched. There are some common covariates at the household level in the survey and the census and these covariates are used to link the households within wards. There are also covariates at the ward level, and the wards are the same in the survey and the census. Using a two-stage procedure, we study the multinomial counts in the sampled households within the wards and a projection method to infer about the non-sampled wards. This is accommodated by a multinomial-Dirichlet–Dirichlet model, a three-stage hierarchical Bayesian model for multinomial counts, as it is necessary to account for heterogeneity among the households. The key theoretical contribution of this paper is to develop a computational algorithm to sample the joint posterior density of the multinomial-Dirichlet–Dirichlet model. Specifically, we obtain samples from the distributions of the proportions for each multinomial cell. The second key contribution is to use two projection procedures (parametric based on the nested error regression model and non-parametric based on iterative re-weighted least squares), on these proportions to link the survey to the census, thereby providing a copy of the census counts. We compare the multinomial-Dirichlet–Dirichlet (heterogeneous) model and the multinomial-Dirichlet (homogeneous) model without household effects via these two projection methods. An example of the second Nepal Living Standards Survey is presented.

scholarly journals Representativeness of individual-level data in COVID-19 phone surveys: Findings from Sub-Saharan Africa

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0258877
Author(s):  
Joshua Brubaker ◽  
Talip Kilic ◽  
Philip Wollburg
Keyword(s):  
Survey Data ◽  
Adult Population ◽  
Sub Saharan Africa ◽  
Sampling Weights ◽  
Household Level ◽  
Individual Level ◽  
Level Data ◽  
Phone Survey ◽  
General Adult Population ◽  
Household Heads

The COVID-19 pandemic has created urgent demand for timely data, leading to a surge in mobile phone surveys for tracking the impacts of and responses to the pandemic. Using data from national phone surveys implemented in Ethiopia, Malawi, Nigeria and Uganda during the pandemic and the pre-COVID-19 national face-to-face surveys that served as the sampling frames for the phone surveys, this paper documents selection the biases in individual-level analyses based on phone survey data. In most cases, individual-level data are available only for phone survey respondents, who we find are more likely to be household heads or their spouses and non-farm enterprise owners, and on average, are older and better educated vis-a-vis the general adult population. These differences are the result of uneven access to mobile phones in the population and the way that phone survey respondents are selected. To improve the representativeness of individual-level analysis using phone survey data, we recalibrate the phone survey sampling weights based on propensity score adjustments that are derived from a model of an individual’s likelihood of being interviewed as a function of individual- and household-level attributes. We find that reweighting improves the representativeness of the estimates for phone survey respondents, moving them closer to those of the general adult population. This holds for both women and men and for a range of demographic, education, and labor market outcomes. However, reweighting increases the variance of the estimates and, in most cases, fails to overcome selection biases. This indicates limitations to deriving representative individual-level estimates from phone survey data. Obtaining reliable data on men and women through future phone surveys will require random selection of adult interviewees within sampled households.

scholarly journals Young Australians living with parents: free and pay board as popular housing tenure choices

2021 ◽  
Author(s):  
Jason Chia ◽  
Isil Erol
Keyword(s):  
Young Adults ◽  
Personal Characteristics ◽  
Housing Tenure ◽  
Policy Makers ◽  
Never Married ◽  
Household Level ◽  
Individual Level ◽  
Elderly Parents ◽  
Level Data ◽  
High Earning

AbstractYoung adults staying with parents is definitely a growing housing tenure in Australia. This paper, for the first time, unearths individual-level housing tenure choices of young Australians from the household-level data of owning/renting from the 2017 Household Income and Labour Dynamics in Australia survey. In addition to owner-occupation and private rental, the paper explores the influence of personal characteristics on two types of multigenerational co-residence: young adults who live with parents rent-free and pay board. The results show that, in Australia, young women are more independent in their housing tenure choices (i.e., owning and renting) in comparison to young men. There is a growing trend towards mature and high-earning young people living with parents for free, which might be explained by the aim of saving money to buy a house or investment property and also care arrangements for their elderly parents. Marital status has also a significant effect on housing tenure choices. Never married young adults prefer to live with parents either for free or pay board; while those divorced/separated or widowed prefer to rent privately to maintain their residential independency, after life circumstances changed. This study informs policy makers to provide more support to young adults in a fully or partly independent housing tenure (renting and paying board) in assisting them to climb up the housing career ladder—becoming a homeowner.

Combining Aggregate Data and Exit Polls for the Estimation of Voter Transitions

2017 ◽  
Vol 48 (2) ◽  
pp. 296-325 ◽  
Author(s):  
André Klima ◽  
Thomas Schlesinger ◽  
Paul W. Thurner ◽  
Helmut Küchenhoff
Keyword(s):  
Market Research ◽  
R Package ◽  
Individual Data ◽  
Ecological Inference ◽  
Aggregated Data ◽  
Parliamentary Elections ◽  
Individual Level ◽  
Level Data ◽  
Voter Transition ◽  
Dirichlet Model

Our objective is the estimation of voter transitions between two consecutive parliamentary elections. Usually, such analyses have been based either on individual survey data or on aggregated data. To move beyond these methods and their respective problems, we propose the application of so-called hybrid models, which combine aggregate and individual data. We use a Bayesian approach and extend a multinomial-Dirichlet model proposed in the ecological inference literature. Our new hybrid model has been implemented in the R-package eiwild (= Ecological Inference with individual-level data). Based on extensive simulations, we are able to show that our new estimator exhibits a very good estimation performance in many realistic scenarios. Application case is the voter transition between the Bavarian Regional election and the German federal elections 2013 in the Metropolitan City of Munich. Our approach is also applicable to other areas of electoral research, market research, and epidemiology.

scholarly journals Food Security and Dietary Quality in African Slums

2019 ◽  
Vol 11 (21) ◽  
pp. 5999 ◽  
Author(s):  
Wanyama ◽  
Gödecke ◽  
Qaim
Keyword(s):  
Food Security ◽  
Dietary Diversity ◽  
Dietary Quality ◽  
East African ◽  
Household Level ◽  
Individual Level ◽  
Country Level ◽  
Slum Dwellers ◽  
Level Data ◽  
The Individual

More than half of Africa’s urban population lives in slums. Little is known about their nutritional situation, as slums are often underrepresented in standard surveys. This study analyzes issues of food security and dietary quality in East African slums using household-level and individual-level data collected in Nairobi and Kampala. The household food insecurity access scale (HFIAS) is used as a subjective measure of food security. Moreover, calorie availability and different dietary diversity scores are calculated based on 7-day food consumption recalls at the household level and 24-hour dietary recalls at the individual level. The large majority of the slum households are food insecure and suffer from low dietary quality. Rates of undernourishment are considerably higher than what country-level statistics report, suggesting that slum dwellers deserve more explicit attention in initiatives to improve nutrition. Household-level indicators are significantly correlated with individual-level indicators for women and children. This means that household-level data, which are easier to collect, can proxy for individual nutrition up to a certain extent when individual-level data are unavailable. Regression models show that household income is one of the main factors explaining dietary patterns. Hence, facilitating access to lucrative employment is an important entry point for improving nutrition in slums.

Hasty Pudding Versus Tasty Bread: Regional Variations in Diet and Nutrition during the Industrial Revolution

2012 ◽  
pp. 9-30 ◽  
Author(s):  
Sara Horrell ◽  
Deborah Oxley
Keyword(s):  
Dairy Products ◽  
Industrial Revolution ◽  
Local Economy ◽  
Household Level ◽  
Level Data ◽  
Other Information ◽  
Level Information ◽  
Local Supply ◽  
Key Aspects ◽  
Nutritional Score

Using parish-level information from Sir F.M. Eden's The state of the poor (1797) we can identify typical diets for the counties of England. These diets varied considerably and afforded very different standards of nutrition. We compute a nutritional score for this diet, paying attention to the presence of vitamins, minerals and micronutrients shown to be essential for health and growth in constructing this measure. Other information in the reports allows us to relate county-level nutrition to factors in the local economy. In particular we find nutrition was positively related to the availability of common land in the area and to women's remunerated work if conducted from home. Lack of common land and little local supply of dairy products also pushed households into buying white wheaten bread rather than baking their own wholemeal loaf. Replicating some of this analysis with household-level data confirms these results. Diet also maps onto stature: male convicts to Australia were significantly taller if they originated in a county with a more nutritious diet. This verifies the important impact of nutrition on stature and demonstrates the sensitivity of height as a measure of key aspects of welfare.

Middle and Below Living Standards: What Can We Learn from Beyond Income Measures of Economic Well-being?

2018 ◽  
Author(s):  
Marii Paskov ◽  
Joan E. Madia ◽  
Tim Goedemé
Keyword(s):  
Well Being ◽  
Material Deprivation ◽  
Living Standards ◽  
Household Level ◽  
The Great Recession ◽  
Level Data ◽  
Working Age ◽  
Household Incomes ◽  
The Relationship ◽  
Economic Well Being

This chapter complements the income-based measures of living standards on which earlier chapters have focused by incorporating non-income dimensions of economic well-being into its analysis, including indicators of material deprivation, economic burdens, and financial stress. It analyses how working-age households around and below the middle of the income distribution fared in European countries in the years before, during, and after the Great Recession. Harmonized household-level data across the members of the EU are analysed to see whether the evolution of these various non-income measures present a similar or different picture to household incomes over time. To probe what lies behind the patterns this reveals, four quite different countries are then examined in greater depth. Finally, the chapter also explores the relationship between material deprivation for households around and below the middle and overall income inequality.

scholarly journals Review of Associations between Built Environment Characteristics and Severe Acute Respiratory Syndrome Coronavirus 2 Infection Risk

2021 ◽  
Vol 18 (14) ◽  
pp. 7561
Author(s):  
Jingjing Wang ◽  
Xueying Wu ◽  
Ruoyu Wang ◽  
Dongsheng He ◽  
Dongying Li ◽  
...  
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Built Environment ◽  
Longitudinal Research ◽  
Empirical Studies ◽  
Infection Risk ◽  
Design Guidelines ◽  
Individual Level ◽  
Transit Accessibility ◽  
Level Data ◽  
Transmission Pathways

The coronavirus disease 2019 pandemic has stimulated intensive research interest in its transmission pathways and infection factors, e.g., socioeconomic and demographic characteristics, climatology, baseline health conditions or pre-existing diseases, and government policies. Meanwhile, some empirical studies suggested that built environment attributes may be associated with the transmission mechanism and infection risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, no review has been conducted to explore the effect of built environment characteristics on the infection risk. This research gap prevents government officials and urban planners from creating effective urban design guidelines to contain SARS-CoV-2 infections and face future pandemic challenges. This review summarizes evidence from 25 empirical studies and provides an overview of the effect of built environment on SARS-CoV-2 infection risk. Virus infection risk was positively associated with the density of commercial facilities, roads, and schools and with public transit accessibility, whereas it was negatively associated with the availability of green spaces. This review recommends several directions for future studies, namely using longitudinal research design and individual-level data, considering multilevel factors and extending to diversified geographic areas.

scholarly journals The Role of Snack Choices, Body Weight Stereotypes and Smoking Behavior in Assessing Risk Factors for Adolescent Overweight and Obesity

Foods ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 557
Author(s):  
Elena Raptou
Keyword(s):  
Body Weight ◽  
Smoking Behavior ◽  
Negative Influence ◽  
Overweight And Obesity ◽  
Individual Level ◽  
Level Data ◽  
Prevention Interventions ◽  
Frequent Consumption ◽  
Adolescent Overweight ◽  
Relationship Of

This study investigated the relationship of behavioral factors, such as snack choices, obesity stereotypes and smoking with adolescents’ body weight. Individual-level data for 1254 Greek youths were selected via a formal questionnaire. Snack choices seem to be gender specific with girls showing a stronger preference for healthier snacks. Frequent consumption of high-calorie and more filling snacks was found to increase Body Mass Index (BMI) in both genders. Fruit/vegetable snacks were associated with lower body weight in females, whereas cereal/nut snacks had a negative influence in males’ BMI. The majority of participants expressed anti-fat attitudes and more boys than girls assigned positive attributes to lean peers. The endorsement of the thin-ideal was positively associated with the BMI of both adolescent boys and girls. This study also revealed that neglecting potential endogeneity issues can lead to biased estimates of smoking. Gender may be a crucial moderator of smoking–BMI relationships. Male smokers presented a higher obesity risk, whereas female smokers were more likely to be underweight. Nutrition professionals should pay attention to increase the acceptance of healthy snack options. Gender differences in the influence of weight stereotypes and smoking on BMI should be considered in order to enhance the efficacy of obesity prevention interventions.

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