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Title: A Monte Carlo Study of Migration and Child Educational Production: Aggregated vs. Disaggregated Resource Modeling
Resulting in 1 citation.
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Mroz, Thomas Li, Guo |
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A Monte Carlo Study of Migration and Child Educational Production: Aggregated vs. Disaggregated Resource Modeling Working Paper, Social Science Research Network (SSRN), February 2013. Also: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2225473 Cohort(s): Children of the NLSY79, NLSY79 Publisher: Social Science Electronic Publishing, Inc. Keyword(s): Common Core of Data (CCD); Educational Outcomes; Endogeneity; Geocoded Data; Migration Patterns; Peabody Individual Achievement Test (PIAT- Math); School Characteristics/Rating/Safety Permission to reprint the abstract has not been received from the publisher. This paper studies the sensitivity of estimates on various assumptions about aggregation in modeling the school's effect in child educational production. Building a structural model to control the endogeneity of school qualities in the production function, the authors uses Monte Carlo simulations to evaluate the performance of a "correct" aggregation educational production model versus simple aggregation educational production model in estimating school resources' effect on academic outcome. Comparion of both specifications to the benchmark model without aggregation shows that the simple aggregation of school resources over a geographic area causes serious specification errors, and thus generate biased estimates for the marginal contribution of the school resources to test scores. Fortunately, such biasedness can be minimized by using the "correct" aggregation specification. |
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Bibliography Citation
Mroz, Thomas and Guo Li. "A Monte Carlo Study of Migration and Child Educational Production: Aggregated vs. Disaggregated Resource Modeling." Working Paper, Social Science Research Network (SSRN), February 2013. |