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Author: Li, Guo

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1.	Li, Guo
1.	Migration And Child Educational Production: Aggregated Vs. Disaggregated Resource Modeling Ph.D. Dissertation, Department of Economics, Clemson University, August 2010 Cohort(s): Children of the NLSY79, NLSY79 Publisher: ProQuest Dissertations & Theses (PQDT) Keyword(s): Armed Forces Qualifications Test (AFQT); Geocoded Data; Maternal Employment; Migration; Monte Carlo; Peabody Individual Achievement Test (PIAT- Math); Residence; 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. By controlling for the endogeneity of school qualities in the production function, we evaluate the performance of a “correct” aggregation educational production model versus simple aggregation educational production model in predicting the school resources’ effect on academic outcome. Monte Carlo simulations on different modeling specifications shows that simple aggregation of school resources over a geographic area causes serious specification errors, and thus generates biased estimates for the marginal contribution of the school resources to test scores. The two aggregation models are empirically estimated, and we find that having heterogeneity control in the production function reduces the estimated effect of school characteristics on test score. We also find that the “Correct” Aggregation model and Simple Aggregation Model perform differently in the empirical study.
	Bibliography Citation Li, Guo. Migration And Child Educational Production: Aggregated Vs. Disaggregated Resource Modeling. Ph.D. Dissertation, Department of Economics, Clemson University, August 2010.

2.	Li, Guo Mroz, Thomas
2.	Expected Income and Labor Market Choices of U.S. Married Couples: A Locally Weighted Regression Approach Regional Science and Urban Economics 43,6 (November 2013): 985-995. Also: http://www.sciencedirect.com/science/article/pii/S0166046213000835 Cohort(s): NLSY79 Publisher: Elsevier Keyword(s): Current Population Survey (CPS) / CPS-Fertility Supplement; Geocoded Data; Income; Labor Market Studies, Geographic; Marriage; Migration Patterns This paper applies a locally weighted scatterplot smoothing (loess) method to estimate the spatially heterogeneous wages of demographic groups of workers across precisely defined US labor markets. We estimate a location choice model using data from the National Longitudinal Survey of Youth (NLSY79) using these estimates of labor market specific wages for men and women as determinants of their place of residence. We compare estimates of this model to a model using more aggregated measures of wages and locations from CPS. We show that potential wages based on these more refined definitions of labor markets and demographic groups provide more explanatory power in a simple migration model than do those based upon less detailed definitions of labor markets and demographic groups.
	Bibliography Citation Li, Guo and Thomas Mroz. "Expected Income and Labor Market Choices of U.S. Married Couples: A Locally Weighted Regression Approach." Regional Science and Urban Economics 43,6 (November 2013): 985-995.

3.	Mroz, Thomas Li, Guo
3.	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.
	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.

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