Who Succeeds in STEM Studies? An Analysis of Binghamton University Undergraduate Students

Using student level data, the characteristics of STEM and Non-STEM students are examined for attributes associated with academic success. We use fixed effects models to analyze the variables’ role in attaining graduation and college GPA and find preparation and ability, as evidenced by Advanced Placement course work, mathematical ability, gender, ethnicity, high school GPA and college experience are all statistically significant indicators of success. These attributes may confer a comparative advantage to STEM students. The engineers have statistically significant differing response elasticities than the non-engineers, and show evidence of persistence that may arise from learning-by-doing. A successful engineering STEM major at Binghamton has good mathematics preparation, and disproportionately is of Asian ethnicity. Women are few in numbers as engineers. Other STEM fields see less emphasis on mathematics preparation, but more emphasis on the presence of AP course work. Women have the same presence in these other STEM fields as in the whole university

The Efficiency of Private Universities As Measured By Graduation Rates

It is well known that human capital is enhanced by graduation from a college or university. How efficient are such institutions in conveying this mark of human capital? Efficiency and productivity in private higher education is measured by using undergraduate graduation rates as the output, and demographic variables, the quality of the students, and the annual expenditures (adjusted for academic mission) as inputs. Tests of several models using OLS and stochastic frontier analysis confirm that private schools can increase their graduation rates by increasing focused expenditures and through more selective admissions. Estimated elasticities are reported and point toward increasing expenditures as the most responsive method. Estimate graduation efficiencies of 93.0, 91.5, and near 100% are also reported for four, five and six year graduation rates respectively. A rank correlation with the U S News and World Report 2008 rankings is consistent with our measure of relative efficiencies

The Effects of Class Size on Student Grades at a Public University

We model how class size affects the grade higher education students earn and we test the model using an ordinal logit with and without fixed effects on over 760,000 undergraduate observations from a northeastern public university. We find that class size negatively affects grades for a variety of specifications and subsets of the data, as well as for the whole data set from this school. The specifications tested hold constant for academic department, peer effects (relative ability in class), student ability, level of student, gender, minority status, and other factors. Average grade point declines as class size increases, precipitously up to class sizes of twenty, and more gradually but monotonically through larger class sizes. JEL Classification; I2

Tax Policy and Business Fixed Investment During the Regan Era

We examine the impact of major tax legislation on business capital investment during the 1980-88 period. We detail the tax changes and imbed them into a neoclassical rental price of capital goods. We then use this rental price in two popular models of business fixed investment, a standard and a modified neo-classical model. We estimate these two models along with an accelerator model of capital investment. The models, in general, exhibit parameter instability regardless of fit. We then develop a model incorporating expected delivery lags for new capital goods and embed a forecasted output and the rental price of capital services. Again, parameter instability and fit are examined. Finally we conduct simulations of tax, price and output shocks. We conclude that the new model has parameter stability, and that the net effect of Reagan's tax policies was small

Who succeeds in STEM studies? An analysis of Binghamton University undergraduate students

Using student level data, the characteristics of STEM and Non-STEM students are examined for attributes associated with academic success. We use fixed effects models to analyze the variables' role in attaining graduation and college GPA and find preparation and ability, as evidenced by Advanced Placement course work, mathematical ability, gender, ethnicity, high school GPA and college experience are all statistically significant indicators of success. These attributes may confer a comparative advantage to STEM students. The engineers have statistically significant differing response elasticities than the non-engineers, and show evidence of persistence that may arise from learning-by-doing. A successful engineering STEM major at Binghamton has good mathematics preparation, and disproportionately is of Asian ethnicity. Women are few in numbers as engineers. Other STEM fields see less emphasis on mathematics preparation, but more emphasis on the presence of AP course work. Women have the same presence in these other STEM fields as in the whole university.STEM preparation Fixed effect models Women in STEM fields Comparative advantage Learning-by-doing