LOVE, MONEY, LOCATION: THE INTERCONNECTEDNESS OF MARITAL STATUS, INCOME, AND LOCATION CHOICE OF IMMIGRANTS TO BRITISH COLUMBIA, CANADA

2017 ◽  
Vol 83 (4) ◽  
pp. 421-444
Author(s):  
Marcel Voia ◽  
Wen Ci ◽  
Michael Haan

AbstractThe objectives of this study are twofold: first, we assess what factors “anchors” are keeping immigrants in their current place of residence, and what variables drive immigrants to move out of their community. Second, we also look at how the effects of these factors on migration differ by whether or not immigrants are living in ethnic enclaves and by the macro-level economic environment. We find that the conventional “anchors” of mobility are less powerful for immigrants living in co-ethnic regions. Results also show that under depressed economic conditions, migration decisions are largely driven by economic factors, and that socio-demographic factors like marital status are less consequential. Conversely, when general economic conditions are better for immigrants, marital status will weigh more heavily on migration decisions.

Author(s):  
Tatyana A. Esina

Off-hour preferences, values and confessions of readers of Lipetsk Regional Universal Research Library are considered. The influence on the choice of reading by not only sex, age, education, professional status, but also by marital status, economic conditions, kind of business in which respondents are engaged, is shown.


Author(s):  
P.V. Fadeev

The article is devoted to the study of interethnic attitudes of people of different nationalities in the labor sphere. Based on the data of 24-s wave of RLMS-HSE, interviews and focus groups, we study the readiness to accept a boss of a different nationality, as well as factors affecting the perception of a foreign boss (gender, age, education, profession, marital status, type of settlement and economic conditions).


2020 ◽  
Vol 2 (10) ◽  
pp. 58-63
Author(s):  
O. N. KUSAKINA ◽  
◽  
S. V. SOKOLOV ◽  

The article is devoted to research of dynamics of disposable resources of rural and urban households; components of disposable resources of households depending on the place of residence (per household member on average); structure of consumer expenditures of rural households based on official statistics for 2018–2020. The presented findings may serve as a basis for justifying the trends in social and economic conditions necessary for the growth of human capital in rural areas.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Idika E. Okorie ◽  
Ricardo Moyo ◽  
Saralees Nadarajah

AbstractWe provide a survival analysis of cancer patients in Zimbabwe. Our results show that young cancer patients have lower but not significant hazard rate compared to old cancer patients. Male cancer patients have lower but not significant hazard rate compared to female cancer patients. Race and marital status are significant risk factors for cancer patients in Zimbabwe.


Author(s):  
Milena Kostadinovic ◽  
Dejan Nikolic ◽  
Ivana Petronic ◽  
Dragana Cirovic ◽  
Mirko Grajic ◽  
...  

We aimed to evaluate the prevalence of sociodemographic factors with the presence and different degrees of walking difficulties in elderly above 65 years, and to analyze association between evaluated variables and the presence and degree of waking difficulties. In the population based study, 3540 individuals age above 65 years from Serbia were recruited. Further predictors were analyzed: gender, age, level of education, marital status, body mass index (BMI), index of well-being and place of residence. We assessed difficulty in walking half a km on level ground without the use of any aid (Group-1); and difficulty in walking up or down 12 steps (Group-2). Walking difficulties were categorized as no difficulty, some difficulty, a lot of difficulty and cannot do at all. For present difficulty significant predictors were: age (Group-1 (OR-3.022)/Group-2 (OR-3.825)), gender (Group-1 (OR-0.337)/Group-2 (OR-0.311)), educational level (Group-1 (OR-0.689)/Group-2 (OR-0.556)) and place of residence (Group-2 (OR-1.523)) while for non-performing the task, significant predictors were: age (Group-1 (OR-1.998)/Group-2 (OR-2.096)), gender (Group-1 (OR-0.629)/Group-2 (OR-0.495)), BMI (Group-1 (OR-1.219)/Group-2 (OR-1.305)), marital status (Group-1 (OR 0.764)/Group-2 (OR-0.769)), educational level (Group-1 (OR-0.679)/Group-2 (OR-0.719)) and index of well-being (Group-2 (OR-0.764)). Understanding of predictors, and their role on functional decline in elderly is of great importance for the development of specific population-based health programs to prevent further functional loss and preserve achieved functional gains.


2020 ◽  
Vol 6 (4) ◽  
pp. 104-115
Author(s):  
Sayeed Naqibullah Orfan ◽  
Abdul Hamid Elmyar

Background: COVID-19 has tremendously affected the world including Afghanistan since its outbreak.Objective: This study aimed to investigate the public knowledge about COVID-19 in Afghanistan as well as practices used to prevent contracting the disease. It also studied the attitudes of the public towards the COVID-19 survivors, and the impact of the participants’ gender, place of residence and marital status on their responses.Method: The data were collected from 1472 individuals through an online survey questionnaire. SPSS version 24.0 was used to analyze the data.Results: The findings showed that the public were very knowledgeable about COVID-19. They used various practices to varying extent to prevent contracting COVID-19 and its spread. Moreover, the participants’ attitudes towards the COVID-19 survivors varied. They had negative attitudes towards them if close contact was concerned, but their attitudes were positive towards them if close contact was not involved, e.g., educating community members about the disease. Gender and place of residence had a significant impact on the participants’ knowledge and practices, but they did not affect their attitudes towards the survivors. Furthermore, marital status significantly affected the participants’ practices, but it did not have any impact on their knowledge and attitudes towards the survivors.


2014 ◽  
Vol 27 (2) ◽  
pp. 173-181 ◽  
Author(s):  
Maria Beatriz Trindade De Castro ◽  
Rita Adriana Gomes De Souza ◽  
Ana Amélia Freitas Vilela ◽  
Gilberto Kac

OBJECTIVE: To investigate the association between socio-demographic factors and dietary patterns in pregnancy. METHODS: Cross-sectional study with baseline data from a cohort of 421 postpartum women aged 18 and 45 years resident in Rio de Janeiro, Brazil. Dietary intake was evaluated with a validated food frequency questionnaire at 15 days following delivery, having as time frame the second and third pregnancy trimesters. Dietary patterns were identified using factor analysis for principal components analysis. The association between socio-demographic factors and the identified dietary patterns was assessed with multiple linear regression analysis. RESULTS: Two dietary patterns were identified: i) healthy: fruits; green vegetables; vegetables; fish; roots, corn and potato; milk and dairy and herbal tea mate, and negatively loadings for alcohol and coffee and ii) mixed: rice; bean; flour and pasta; breads; cake and cookies; soda and juice; sugar and sweets; fatty foods; meats; chicken; and eggs. The linear regression showed that the income (β=0.0002; 95%CI: 0.0002-0.0004) and schooling (β=0.0491; 95%CI: 0.0264-0.0718) were positively associated with healthy pattern, and parity (β=-0.1044; 95%CI: -0.1665- -0.0423) and skin color (β=-0.3102; 95%CI: -0.5256- -0.0947) were negatively associated. Skin color (β=0.1647; 95%CI: 0.0378- 0.2916) and marital status (β=0.1065; 95%CI: 0.0062- 0.2067) were positively associated with mixed pattern and income (β=-0.0001; 95%CI:-0.0002- -0.0001) and schooling (β=-0.0281; 95%CI: -0.0417- -0.0146) were negatively associated. CONCLUSION: Socio-demographic factors such as income, schooling, skin color, marital status and parity were associated with dietary patterns in this sample of postpartum women residents in Rio de Janeiro.


2020 ◽  
Vol 5 (2) ◽  
pp. 193-203
Author(s):  
Muhit Hidayah ◽  
◽  
Joko Triyanto ◽  

The existence of a demographic transition that in the long run has an impact on the population explosion in the productive age and even the population trend shows a growing pattern of population growth in the productive age. It is feared that the number of people of productive age who are not absorbed in employment will eventually become unemployed. Unemployment of productive age will have an impact on the amount of educated unemployment. This study will analyze the demographic, human capital and economic factors behind educated unemployment in Sragen Regency in 2019, from the supply dan demand side. The data used is the raw data of the results of the National Labor Force Survey (SAKERNAS) in Agustus 2019 from the Statistics of Sragen Regency (BPS) with a sample of 602 respondents. The method used is logistic regression analysis. The results showed that the variables age, number of household members, gender, relationship with the head of the household, marital status, Diploma I / II, Diploma III, Diploma IV / S1 and S2 affect the probability of the educated workforce to be unemployed. Meanwhile, the domicile variable does not significantly affect the probability of the educated workforce being unemployed.


1997 ◽  
Vol 17 ◽  
pp. 75-96 ◽  
Author(s):  
Alı Çarkoğlu

The assertion that economic conditions prevailing during a government's tenure influence the level of electoral support it receives is frequently expressed in Turkey. Despite frequent references to economic dimensions of electoral behavior in Turkish media and academic circles, however, there are only a few systematic analyses of the impact of macro-economic performance on incumbents' electoral success. Bulutay and Yıldırım (1969) and Bulutay (1970) were the first attempts in this direction. These pioneering empirical analyses were mainly descriptive and rely on cross-sectional observations across provinces for the elections between 1950 and 1969. Based solely on developments in the agricultural sector they concluded that economic factors were first among the factors determining election outcomes. Özselçuk (1975) included macro-economic indicators, such as changes in per capita income and prices, in a regression model to explain changes in incumbents' vote share. Özselçuk provided some evidence that incumbents' electoral support was shaped by developments in macro-economic indicators, however, his analyses were technically deficient and his results were poorly documented.


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