Non-Cognitive Skills and Cognitive Skills to measure school efficiency
In: Socio-economic planning sciences: the international journal of public sector decision-making, Volume 81, p. 101058
ISSN: 0038-0121
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In: Socio-economic planning sciences: the international journal of public sector decision-making, Volume 81, p. 101058
ISSN: 0038-0121
In: IZA Discussion Paper No. 9918
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In: BERG working paper series 110
In: Lee Kuan Yew School of Public Policy Research Paper No. 18-05
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Working paper
In: Economic Modelling, 30, 565-578
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How schooling affects cognitive skills is a fundamental question for studies of human capital and labor markets. While scores on cognitive ability tests are positively associated with schooling, it has proven difficult to ascertain whether this relationship is causal. Moreover, the effect of schooling is difficult to separate from the confounding factors of age at test date, relative age within a classroom, season of birth, and cohort effects. In this paper, we exploit conditionally random variation in the assigned test date for a battery of cognitive tests which almost all 18 year-old males were required to take in preparation for military service in Sweden. Both age at test date and number of days spent in school vary randomly across individuals after flexibly controlling for date of birth, parish, and expected graduation date (the three variables the military conditioned on when assigning test date). We find an extra 10 days of school instruction raises cognitive scores on crystallized intelligence tests (synonym and technical comprehension tests) by approximately one percent of a standard deviation, whereas extra nonschool days have almost no effect. The benefit of additional school days is homogeneous, with similar effect sizes based on past grades in school, parental education, and father's earnings. In contrast, test scores on fluid intelligence tests (spatial and logic tests) do not increase with additional days of schooling, but do increase modestly with age. These findings have important implications for questions about the malleability of cognitive skills in young adults, schooling models of signaling versus human capital, the interpretation of test scores in wage regressions, and policies related to the length of the school year.
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In: Bulletin of economic research, Volume 65, Issue 2, p. 134-153
ISSN: 1467-8586
ABSTRACTWhile cognitive skills are known to play an important role in labour market success, empirical evidence is mainly concentrated in its effect on returns to schooling. Evidence on the role of cognitive skills in gender earnings gap decompositions is virtually absent. I use two approaches to investigate the potential for cognitive skills to affect the size and pattern of the unexplained component of the earnings gap ('relative discrimination') across the wage distribution, using data from the International Adult Literacy Survey (IALS). It has been shown that when the raw cognitive score is used to control for cognitive skills, the return to schooling cognitive skills is generally underestimated. Once a distinction is made about the origins of cognitive skills (acquired in school versus outside the school), the returns to cognitive skills can vary depending on their origin. I find that using the raw score to control for cognitive skills does not result in any significantly different estimates of the unexplained component of the gap compared to when cognitive skills are not controlled for. However, once cognitive skills by origin of skill are used in place of total cognitive skills, the results change substantially for three of the five countries examined.
In: IZA Discussion Paper No. 6913
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In: IZA Discussion Paper No. 13901
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Working paper
In: Journal of Political Economy, accepted
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Working paper
How schooling affects cognitive skills is a fundamental question forstudies of human capital and labor markets. While scores on cognitive ability testsare positively associated with schooling, it has proven difficult to ascertain whetherthis relationship is causal. Moreover, the effect of schooling is difficult to separate from the confounding factors of age at test date, relative age within a classroom, season of birth, and cohort effects. In this paper, we use a fundamentally different identification approach compared to the previous literature. We exploit conditionally random variation in the assigned test date for a battery of cognitive tests which almost all 18 year-old males were required to take in preparation for military servicein Sweden. Both age at test date and number of days spent in school vary randomly across individuals after flexibly controlling for date of birth, parish, and expected graduation date (the three variables the military conditioned on when assigningtest date). We find an extra 10 days of school instruction raises cognitive scoreson crystallized intelligence tests (synonym and technical comprehension tests) by approximately one percent of a standard deviation, whereas extra nonschool dayshave almost no effect. The benefit of additional school days is homogeneous, with similar effect sizes based on past grades in school, parental education, and father's earnings. In contrast, test scores on fluid intelligence tests (spatial and logic tests) do not increase with additional days of schooling, but do increase modestly with age. We discuss the importance of these findings for questions about the malleability of cognitive skills in young adults, schooling models of signaling versus human capital ,the interpretation of test scores in wage regressions, and policies related to the length of the school year
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By running a battery of incentivized and non-incentivized experiments with fund managers from four countries in the European Union, we investigate the impact of fund managers' cognitive skills and economic preferences on the dynamics of the mutual funds they manage. First, we find that fund managers' risk tolerance positively correlates with fund risk when accounting for fund benchmark, fund category, and other controls. Second, we show that fund managers' ambiguity tolerance positively correlates with the funds' tracking error from the benchmark. Finally, we report that cognitive skills do not explain fund performance in terms of excess returns. However, we do find that fund managers with high cognitive reflection abilities generate these returns at lower risk.
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