Abstract: William Anderson

Welcome to my Freshman Monroe research project on elasticity in abortion markets!

My project will respond to four questions. First, whether there is adequate public data on abortion rates to be able to synthesize a supply or demand curve from them (regardless of how constrained in scope or market size such a curve may be). Second, what degree of price elasticity exists for both supply and demand in the abortion market analyzed in the event either curves can be found. Third, whether the data found can provide insight into what impact supply-side restrictions and/or taxation (specifically originating in public policy) have on quantity and other considerations such as timing of abortions, and whether these data align with supply/demand models given the findings of the first two questions. Fourth and finally, how useful these findings are to public policy given unaccounted-for or uncontrolled variables in the data, such as consumers travelling outside of the market for abortions.

Populism of the 20th century and Donald Trump – abstract

Through this research I hope to compare Populism in the United States today to its utilization by Huey Long and Father Charles Coughlin during the 1930s and George Wallace in the 1960s. Further, I will explore how mainstream political parties dealt with the rise and popularity of those leaders but still barred them from achieving political success. I will begin by exploring and identifying the major themes and rhetoric associated with American populist politicians of the 20th century. Next, I will look more closely at the resurgence of Populism today by researching recent events, social and political movements, and the current administration in the United States. With this project I hope to produce a compiled analysis of historic populism and recent political movement written in the form of a literature review.

[Read more…]

Breaking Staff Notation (Sheet Music) to Reveal Its Presumptions About Music

Spinning the Coaching Carousel: How Trends in Scoring Inform Coaching Hires in NCAA Men’s Basketball

In recent years, one of the strongest general trends across sports has been a shift towards a more statistics-oriented understanding of performance and success. For this project, I am focusing in on a specific sport, NCAA Men’s Basketball, a well-defined time period, from the beginning of the 2016-2017 season until today, and a specific portion of that sport, scoring, to examine several interconnected ideas. Firstly, I am exploring the correlations between how a team scores and how that team wins. Is a team more successful by scoring many points or by holding its opponents to few? Can a relationship be established between a the net points a team scores and the amount of wins they compile? I will then focus further on teams that have undergone a coaching change, either after the 2016-2017 season or after the 2017-2018 season. From there, I will look at how those teams changed from before to after. If a team had more wins after the coaching change, was there a meaningful change in the points they scored or allowed to explain it? Do the original trends between scoring and wins help explain these changes, and can they be used to predict the success of future coaching hires? This project will, in time, try to explore each of these ideas and connect them, in the hopes of better understanding the complex relationships between team scoring and team success.