Intergenerational Mobility of Earnings and Income in Japan

2009 ◽  
Vol 9 (1) ◽  
Author(s):  
Atsuko Ueda
Keyword(s):  
Quantile Regression ◽  
Nonlinear Analysis ◽  
Linear Relation ◽  
Intergenerational Mobility ◽  
Economic Status ◽  
Downward Trend ◽  
Panel Survey ◽  
Parental Income

Abstract This paper presents estimates on the intergenerational mobility of economic status in Japan. We estimate the intergenerational elasticity of the earnings and income of offspring with respect to parental income using microdata from the 1993–2004 rounds of the Japanese Panel Survey of Consumers. The estimated intergenerational elasticity using predicted parental income is 0.41–0.46 for married sons, 0.30–0.38 for married daughters, and marginally less than 0.30 for single daughters. A downward trend in elasticity is also observed. Quantile regression does not suggest any particular relation between elasticity and quantiles. A nonlinear analysis of the relation between parental log income and log earnings of offspring illustrates an S-shaped relation for married sons and single daughters, and a linear relation for married daughters.

Socio demographic determinants of BMI of Pakistani women: an evidence from PDHS (2017-18) using quantile regression analysis

2021 ◽  
Author(s):  
Asifa Kamal ◽  
Aqsa Asghar Ali ◽  
Sameena Irfan
Keyword(s):  
Quantile Regression ◽  
Economic Status ◽  
Household Head ◽  
Secondary Data ◽  
Wealth Index ◽  
Least Square ◽  
Obese Women ◽  
Ordinary Least Square ◽  
Under Nutrition ◽  
Pakistani Women

Abstract Objective: To explore the socio demographic determinants of nutritional status of Pakistani women. Methods: Secondary data from recent Pakistan Demographic and Health Survey (PDHS 2017-18) is taken. Data collection period is from 22 November 2017 to 30 April 2018. Ordinary least square (OLS) and quantile regression (QR) models are used for analysis. Results: QR model is found appropriate for BMI data to capture effect at different level of distribution of BMI. Less than 5% women are under nutrition for some categories of factors. Age of women, women’s education, frequency of watching TV, wealth index, husband’s education and region (KPK, Balochistan) showed a positive effect on women’s BMI in Pakistan across all conditional distribution of BMI. In contrary, age of women at first birth, women’s agriculture or manual working status, gender of household head (female) and region (Sindh) showed negative effect on women’s BMI in Pakistan. Conclusion: It is concluded that overweight/obesity is becoming serious problem as compared to undernutrition in Pakistani women. Percentage of deprived women is little and level of under nutrition is also not alarming.  Privileged women (with respect to education, economic status, urbanization, sedentary life style) have more chances to have higher BMI (overweight or obese). Women of KPK and Balochistan are at higher risk of overweight/ obesity as compared to Punjabi women. Keywords: PDHS 2017-18, Ordinary Least Square (OLS), Quantile Regression (QR) Model, Continuous....

scholarly journals Cross-Country Differences in Intergenerational Earnings Mobility

2002 ◽  
Vol 16 (3) ◽  
pp. 59-66 ◽  
Author(s):  
Gary Solon
Keyword(s):  
United States ◽  
Intergenerational Transmission ◽  
Intergenerational Mobility ◽  
Economic Status ◽  
The United States ◽  
International Studies ◽  
The Third ◽  
Income Status ◽  
Country Differences ◽  
Cross Country

International studies of the extent to which economic status is passed from one generation to the next are important for at least two reasons. First, each study of a particular country characterizes an important feature of that country's income inequality. Second, comparisons of intergenerational mobility across countries may yield valuable clues about how income status is transmitted across generations and why the strength of that intergenerational transmission varies across countries. The first section of this paper explains a benchmark measure of intergenerational mobility commonly used in U.S. studies. The second section summarizes comparable empirical findings that have accumulated so far for countries other than the United States. The third section sketches a theoretical framework for interpreting cross-country differences in intergenerational mobility.

Childhood Inequality in China: Evidence from Recent Survey Data (2012–2014)

2018 ◽  
Vol 236 ◽  
pp. 1063-1087 ◽  
Author(s):  
Natalie A.E. Young ◽  
Emily C. Hannum
Keyword(s):  
Child Welfare ◽  
Physical Health ◽  
Family Environment ◽  
Economic Status ◽  
Psychosocial Health ◽  
Panel Survey ◽  
Socio Economic Status ◽  
Egalitarian Society ◽  
Welfare Measures ◽  
Nationally Representative

AbstractIn recent decades, China has transformed from a relatively egalitarian society to a highly unequal one. What are the implications of high levels of inequality for the lives of children? Drawing on two nationally representative datasets, the China Family Panel Studies and the China Education Panel Survey, we develop a comprehensive portrait of childhood inequality in post-reform China. Analyses reveal stark disparities between children from different socio-economic backgrounds in family environments and in welfare outcomes, including physical health, psychosocial health and educational performance. We argue that childhood inequality in China is driven not only by the deprivations of poverty but also by the advantages of affluence, as high socio-economic status children diverge from their middle and low socio-economic status counterparts on various family environment and child welfare measures.

What More Than Parental Income, Education and Occupation? An Exploration of What Swedish Siblings Get from Their Parents

2010 ◽  
Vol 10 (1) ◽  
Author(s):  
Anders Björklund ◽  
Lena Lindahl ◽  
Matthew J. Lindquist
Keyword(s):  
Parenting Practices ◽  
Economic Status ◽  
Explanatory Power ◽  
Data Set ◽  
Parental Income ◽  
Socio Economic Status ◽  
Sibling Correlations ◽  
Community Influences ◽  
Long Run ◽  
The Impact

Abstract Sibling correlations are broader measures of the impact of family and community influences on individual outcomes than intergenerational correlations. Estimates of such correlations in income show that more than half of the family and community influences that siblings share are uncorrelated with parental income. We employ a data set with rich family information to explore what factors in addition to traditional measures of parents’ socio-economic status can explain sibling similarity in long-run income. Measures of family structure and social problems account for very little of sibling similarities beyond that already accounted for by income, education and occupation. However, when we add indicators of parental involvement in schoolwork, parenting practices and maternal attitudes, the explanatory power of our variables increases from about one-quarter (using only traditional measures of parents’ socio-economic status) to nearly two-thirds.

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