scholarly journals Approaches to the estimation of intergenerational correlations of earnings and education

2017 ◽  
pp. 141-142
Author(s):  
Gleb Vladimirovich Borisov ◽  
Keyword(s):  
Intergenerational Correlations

scholarly journals Sibling and Intergenerational Correlations in Welfare Program Participation

1988 ◽  
Vol 23 (3) ◽  
pp. 388 ◽  
Author(s):  
Gary Solon ◽  
Mary Corcoran ◽  
Roger Gordon ◽  
Deborah Laren
Keyword(s):  
Program Participation ◽  
Welfare Program ◽  
Intergenerational Correlations

scholarly journals Economic Interpretations of Intergenerational Correlations

2002 ◽  
Vol 16 (3) ◽  
pp. 45-58 ◽  
Author(s):  
Nathan D Grawe ◽  
Casey B Mulligan
Keyword(s):  
Decision Making ◽  
Economic Theory ◽  
Neighborhood Effects ◽  
Occupational Choice ◽  
Family Formation ◽  
Economic Models ◽  
Empirical Literature ◽  
Fertility Choice ◽  
Intergenerational Correlations

Since accurate prediction ultimately determines the usefulness of theory, our paper gives the reader a taste of some predictions derived from economic theory and some empirical successes and failures. We provide only a taste, because there are a great many economic models relevant to intergenerational correlations— such as models of educational attainment, neighborhood effects in schooling, family formation and fertility choice, occupational choice and discrimination—and quite a variety of predictions that might be derived from these models. However, a simple model of investment and intergenerational decision making can be interpreted as a conceptual aggregation of many more detailed economic models. We present such a model and from it derive one class of predictions that has received substantial attention in the empirical literature—the role of endowments and credit markets in determining intergenerational correlations.

scholarly journals Sibling and Intergenerational Correlations in Welfare Program Participation

10.3386/w2334 ◽  
1987 ◽  
Author(s):  
Gary Solon ◽  
Mary Corcoran ◽  
Roger Gordon ◽  
Deborah Laren
Keyword(s):  
Program Participation ◽  
Welfare Program ◽  
Intergenerational Correlations

scholarly journals Intergenerational Networks, Unemployment, and Persistent Inequality in South Africa

2010 ◽  
Vol 2 (1) ◽  
pp. 62-85 ◽  
Author(s):  
Jeremy R. Magruder
Keyword(s):  
South Africa ◽  
Human Capital ◽  
Job Search ◽  
South Africans ◽  
Network Connections ◽  
Intergenerational Correlations ◽  
Employment Rates ◽  
Specific Human Capital ◽  
Persistent Inequality ◽  
Correlated Networks

This paper examines the importance of network-based intergenerational correlations in South Africa. I use longitudinal data on young South Africans to examine the covariance of children's employment with the usefulness of parents in their job search. I find that fathers serve as useful network connections to their sons (not daughters), and that mothers do not seem to be useful network connections. The father-son effect is robust to alternate explanations of specific human capital and correlated networks. The size of this effect is large. Present fathers' utility as network connections may be responsible for a one-third increase in their sons' employment rates. (JEL D31, J12, J13, J24, J62, O15, Z13)

scholarly journals The intergenerational correlation of social assistance and selection bias in the Finnish population data

2011 ◽  
Vol 4 ◽  
pp. 7-15
Author(s):  
Pasi Moisio ◽  
Timo M. Kauppinen
Keyword(s):  
Selection Bias ◽  
Life Stage ◽  
Social Assistance ◽  
Correlation Coefficients ◽  
Population Data ◽  
Observation Window ◽  
Intergenerational Correlation ◽  
Parents And Children ◽  
The Social ◽  
Intergenerational Correlations

Using the social assistance register we were able to study intergenerational correlations of social assistance recipiency in Finland and how the length of the observation window for identifying recipiency affects on the correlation coefficients. Parents’ social assistance was observed in 1990, and that of their children aged 18–32 was observed in 2005. The intergenerational correlation was .15 on average when the observation window was a calendar year for both parents and children. The correlation varied substantially according to the length of the observation window, the gender and the age of child. The intergenerational correlation was stronger in the early twenties (.20), and substantially lower (.10) in the early thirties. The correlation was stronger for boys (.19) than for girls (.12). As expected from the theory and previous studies, a shorter observation window for parents yielded higher estimates for the intergenerational correlation, and a shorter observation window for children yielded lower estimates. There are two sources of bias when using a shorter observation window. The downward identification bias results when households receiving social assistance for a short spell outside the observation window are classified as non-recipients. The upward selection bias results when households receiving long-term social assistance are over-represented as compared to parents who receive social assistance only for a short spell. These two sources of bias operate in a complex way and the direction of bias they cause for the intergenerational correlation is essentially an empirical question. Hence, when drawing (policy) conclusions from studies on intergenerational correlations, one should keep in mind that the correlation estimates are very sensitive to the length for the observation windows and to the life stage when the children’s social assistance recipiency is observed.

scholarly journals Correlations in fertility across generations: can low fertility persist?

2014 ◽  
Vol 281 (1779) ◽  
pp. 20132561 ◽  
Author(s):  
Martin Kolk ◽  
Daniel Cownden ◽  
Magnus Enquist
Keyword(s):  
Population Size ◽  
Empirical Studies ◽  
Fertility Transition ◽  
Low Fertility ◽  
Major Influence ◽  
The Future ◽  
Intergenerational Correlations ◽  
Over Time ◽  
Future Population

Correlations in family size across generations could have a major influence on human population size in the future. Empirical studies have shown that the associations between the fertility of parents and the fertility of children are substantial and growing over time. Despite their potential long-term consequences, intergenerational fertility correlations have largely been ignored by researchers. We present a model of the fertility transition as a cultural process acting on new lifestyles associated with fertility. Differences in parental and social influences on the acquisition of these lifestyles result in intergenerational correlations in fertility. We show different scenarios for future population size based on models that disregard intergenerational correlations in fertility, models with fertility correlations and a single lifestyle, and models with fertility correlations and multiple lifestyles. We show that intergenerational fertility correlations will result in an increase in fertility over time. However, present low-fertility levels may persist if the rapid introduction of new cultural lifestyles continues into the future.

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