A Fast Literature Search Engine based on top-quality journals, by Dr. Mingze Gao.
- Topic classification is ongoing.
- Please kindly let me know [mingze.gao@mq.edu.au] in case of any errors.
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Results 5 resources
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This paper investigates whether the housing market responds to the information incorporated in state-administered school grades. We study whether school grades affect families' residential locations and house prices. Using detailed data on repeated sales of individual residential properties in the state of Florida, we find evidence that there is an independent effect of these grades on house prices and residential location, above and beyond the estimated effects of test scores and the other components of the school grades. Because these grades have a large stochastic component, however, we find that over time the estimated effects of the grades has diminished.
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We use unique data from journal submissions to identify and unpack publication bias and p-hacking. We find initial submissions display significant bunching, suggesting the distribution among published statistics cannot be fully attributed to a publication bias in peer review. Desk-rejected manuscripts display greater heaping than those sent for review; i.e., marginally significant results are more likely to be desk rejected. Reviewer recommendations, in contrast, are positively associated with statistical significance. Overall, the peer review process has little effect on the distribution of test statistics. Lastly, we track rejected papers and present evidence that the prevalence of publication biases is perhaps not as prominent as feared.
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We make use of a new data resource – merged birth and schoolrecords for all children born in Florida from 1992 to 2002 – to studythe relationship between birth weight and cognitive development.Using singletons as well as twin and sibling fixed effects models,we find that the effects of early health on cognitive development areessentially constant through the school career; that these effects aresimilar across a wide range of family backgrounds; and that theyare invariant to measures of school quality. We conclude that theeffects of early health on adult outcomes are therefore set very early.(JEL I12, J13, J24)
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Recent evidence indicates that boys and girls are differently affected by the quantity and quality of family inputs received in childhood. We assess whether this is also true for schooling inputs. Using matched Florida birth and school administrative records, we estimate the causal effect of school quality on the gender gap in educational outcomes by contrasting opposite-sex siblings who attend the same sets of schools–thereby purging family heterogeneity–and leveraging within-family variation in school quality arising from family moves. Investigating middle school test scores, absences and suspensions, we find that boys benefit more than girls from cumulative exposure to higher quality schools.
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