The Experts below are selected from a list of 82545 Experts worldwide ranked by ideXlab platform
Jongwha Lee - One of the best experts on this subject based on the ideXlab platform.
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international data on Educational Attainment updates and implications
Oxford Economic Papers, 2001Co-Authors: Robert J Barro, Jongwha LeeAbstract:This paper presents a data set that improves the measurement of Educational Attainment for a broad group of countries. We extend our previous estimates to 1995 for Educational Attainment for the population over ages 15 and 25. We also provide projections for 2000. We discuss the estimation method for the measures of Educational Attainment and relate our estimates to alternative international measures of human capital stocks.
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International Data on Educational Attainment Updates and Implications
Oxford Economic Papers, 2001Co-Authors: Robert J Barro, Jongwha LeeAbstract:This paper presents a data set that improves the measurement of Educational Attainment for a broad group of countries. We extend our previous estimates of Educational Attainment for the population over age 15 and over age 25 up to 1995 and provide projections for 2000. We discuss the estimation method for the measures of Educational Attainment and relate our estimates to alternative international measures of human capital stocks.
William Sander - One of the best experts on this subject based on the ideXlab platform.
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Educational Attainment and Residential Location
Education and Urban Society, 2006Co-Authors: William SanderAbstract:The effects of residential location at age 16 and current residential location on measures of Educational Attainment are estimated. Particular attention is given to the effects of migration and family background on Educational outcomes. It is shown that central cities and suburbs of large metropolitan areas in the United States have significantly higher levels of Educational Attainment. The reasons for this include migration of more highly educated individuals to large metropolitan areas and family background factors that are more favorable to higher levels of Educational Attainment in large urban areas. It is also shown that although urban advantages in schooling for respondents at age 16 have declined over time, urban advantages for respondents when they are older have increased. Data from the National Opinion Research Center’s General Social Survey are used.
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The effects of ethnicity and religion on Educational Attainment
Economics of Education Review, 1992Co-Authors: William SanderAbstract:Abstract This paper tries to explain some of the effects of ethnicity and religion on Educational Attainment. It is shown that correlations between ethnicity (and religion) and Educational Attainment are partly explained by differentials in parental endowments (parents' schooling and father's occupation) and location. Religious and ethnic effects are also shown to operate through length of time in the United States and other family background characteristics including number of siblings, divorce and mothers working. Respondents born in the United States acquire more schooling; respondents with American-born parents or grandparents acquire less schooling. Number of siblings and divorce reduces Educational Attainment. For males, mothers working increase years of schooling completed. This variable has no effect on female respondents. The estimates also indicate that ethnic and religious effects on Educational Attainment have persisted over time. However, for men, ethnic and religious effects have been of declining importance. This is less true for women where religious effects, in particular, have persisted over time.
Robert J Barro - One of the best experts on this subject based on the ideXlab platform.
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international data on Educational Attainment updates and implications
Oxford Economic Papers, 2001Co-Authors: Robert J Barro, Jongwha LeeAbstract:This paper presents a data set that improves the measurement of Educational Attainment for a broad group of countries. We extend our previous estimates to 1995 for Educational Attainment for the population over ages 15 and 25. We also provide projections for 2000. We discuss the estimation method for the measures of Educational Attainment and relate our estimates to alternative international measures of human capital stocks.
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International Data on Educational Attainment Updates and Implications
Oxford Economic Papers, 2001Co-Authors: Robert J Barro, Jongwha LeeAbstract:This paper presents a data set that improves the measurement of Educational Attainment for a broad group of countries. We extend our previous estimates of Educational Attainment for the population over age 15 and over age 25 up to 1995 and provide projections for 2000. We discuss the estimation method for the measures of Educational Attainment and relate our estimates to alternative international measures of human capital stocks.
Regina T. Riphahn - One of the best experts on this subject based on the ideXlab platform.
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The causal effect of age at migration on youth Educational Attainment
Economics of Education Review, 2018Co-Authors: Dominique Lemmermann, Regina T. RiphahnAbstract:We investigate the causal effect of age at migration on subsequent Educational Attainment in the destination country. To identify the causal effect we compare the Educational Attainment of siblings at age 21, exploiting the fact that they typically migrate at different ages within a given family. We consider several education outcomes conditional on family fixed effects. We take advantage of long running and detailed data from the German Socio-Economic Panel, which entails an oversample of immigrants and provides information on language skills. We find significant effects of age at migration on Educational Attainment and a critical age of migration not above age 6. The Educational Attainment of female immigrants responds more strongly to a high age at immigration than that of males. While language skills affect Educational Attainment they do not appear to fully explain the causal connection between age at migration and Educational Attainment.
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The causal effect of age at migration on youth Educational Attainment
2016Co-Authors: Dominique Lemmermann, Regina T. RiphahnAbstract:We investigate the causal effect of youths' age at immigration on subsequent Educational Attainment in the destination country. To identify the causal effect we compare the Educational Attainment of siblings at age 21, exploiting the fact that they typically migrate at different ages within a given family. We consider several education outcomes conditional on family fixed effects. We take advantage of long running and detailed data from the German Socio-Economic Panel, which entails an oversample of immigrants and provides information on language skills. We find significant effects of age at migration on Educational Attainment and a critical age of migration around age 6. We find that the Educational Attainment of female immigrants responds more strongly to a high age at immigration than that of males. We can exclude that the causal effect is determined only by language abilities.
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Dissimilation? The Educational Attainment of Second Generation Immigrants
2001Co-Authors: Regina T. RiphahnAbstract:The Educational Attainment of second generation immigrants is of crucial importance for their subsequent labour market success in Germany. While the schooling outcomes of natives improved in recent decades, German-born children of immigrants did not partake in this development. The Paper applies representative data from the Mikrozensus and the German Socioeconomic Panel (GSOEP) to investigate the development and determinants of Educational Attainment of immigrant youth. Even after controlling for covariate effects, the time trends in the Educational Attainment of natives and second generation immigrants deviate. This evidence for ‘dissimilation’ calls for responses by Educational policy and further research attention. An additional outcome of the study is that the analysis of immigrant Educational Attainment ought to distinguish first and second generation immigrants as these groups differ in statistically significant ways.
Jordan W Smoller - One of the best experts on this subject based on the ideXlab platform.
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the shared genetic basis of Educational Attainment and cerebral cortical morphology
Cerebral Cortex, 2019Co-Authors: Chiayen Chen, Alysa E Doyle, Richard Vettermann, Lauri Tuominen, Daphne J Holt, Mert R Sabuncu, Jordan W SmollerAbstract:Individual differences in Educational Attainment are linked to differences in intelligence, and predict important social, economic, and health outcomes. Previous studies have found common genetic factors that influence Educational achievement, cognitive performance and total brain volume (i.e., brain size). Here, in a large sample of participants from the UK Biobank, we investigate the shared genetic basis between Educational Attainment and fine-grained cerebral cortical morphological features, and associate this genetic variation with a related aspect of cognitive ability. Importantly, we execute novel statistical methods that enable high-dimensional genetic correlation analysis, and compute high-resolution surface maps for the genetic correlations between Educational Attainment and vertex-wise morphological measurements. We conduct secondary analyses, using the UK Biobank verbal-numerical reasoning score, to confirm that variation in Educational Attainment that is genetically correlated with cortical morphology is related to differences in cognitive performance. Our analyses relate the genetic overlap between cognitive ability and cortical thickness measurements to bilateral primary motor cortex as well as predominantly left superior temporal cortex and proximal regions. These findings extend our understanding of the neurobiology that connects genetic variation to individual differences in Educational Attainment and cognitive performance.
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the shared genetic basis of Educational Attainment and cerebral cortical morphology
bioRxiv, 2018Co-Authors: Chiayen Chen, Alysa E Doyle, Richard Vettermann, Lauri Tuominen, Daphne J Holt, Mert R Sabuncu, Jordan W SmollerAbstract:Individual differences in Educational Attainment are linked to differences in intelligence, and predict important social, economic and health outcomes. Previous studies have found common genetic factors that influence Educational achievement, cognitive performance and total brain volume (i.e., brain size). Here, in a large sample of participants from the UK Biobank, we investigate the shared genetic basis between Educational Attainment and fine-grained cerebral cortical morphological features, and associate this genetic variation with a related aspect of cognitive ability. Importantly, we execute novel statistical methods that enable high-dimensional genetic correlation analysis, and compute high-resolution surface maps for the genetic correlations between Educational Attainment and vertex-wise morphological measurements. We conduct secondary analyses, using the UK Biobank verbal-numerical reasoning score, to confirm that variation in Educational Attainment that is genetically correlated with cortical morphology is related to differences in cognitive performance. Our analyses reveal the genetic overlap between cognitive ability and cortical thickness measurements in bilateral primary motor cortex and predominantly left superior temporal cortex and proximal regions. These findings may contribute to our understanding of the neurobiology that connects genetic variation to individual differences in Educational Attainment and cognitive performance.
