Economics Graduate Student
Office: LUMS C85
Web Address: http://www.lancs.ac.uk/postgrad/murphys4/index.htm
Email address: s dot murphy5 at lancaster dot ac dot uk
This web site is currently incomplete. For my resume in pdf, please look here.
In 2013-2014 I am TA'ing sections Econ 100 at Lancaster University. Material for that class can be found here.
In 2012-2013 I TA'ed Econ 100 at Lancaster University.
Fall 2009, I TA'ed Econ 200 (microeconomics principles). You may be able to find information about that class by contacting the economics department at the University of Washington.
Fall 2007 I taught principles of microeconomics also at NEIU, the course information can be found here.
I have previously taught Calculus II, Calculus for Business Students, and College Algebra courses at Iowa State. Please contact me if you are looking for my materials related to those courses.
I graduated from the University of Nebraska in 2004, and have a masters degree in mathematics from Iowa State which I recieved in 2006. While at ISU, I also completed the coursework towards a masters in Political Science, but I left before finishing. In 2007 I went Chicago to work as an economist for the consulting firm RCF economic headed by Dr. George Tolley. I got married July 26, 2008. I went to the University of Washinton to start an economics graduate program in fall 2009. While in Washington I became interested in health economics and global health and began to work as a research assistant in the department of global health and at the associated Institute of Health Metrics and Evaluation. In 2012 I came to the University of Lancaster to finish my PhD. My interests are in health economics, development, and game theory (particularly coordination and organization).
Current ResearchHealth platform quality:
Risk adjustment allows us to compare mortality rates for health care provision across diferent units such as facilities, geographical ar- eas, and demographic groups by adjusting for the expected level of mortality given certain relevant control variables. Our frst research question is how useful non-parametric methods from machine learning literature are in performing risk adjustment in order to assess facility quality. This work will establish a machine learning method which we can use in subsequent chapters. Additional issues we can consider include comparisons of risk-adjusted mortality across geographic regions and explore reasons for this, which may include but are not limited to socio-demographic factors. Second, we can consider how risk adjustment in the US and UK difer and in turn study difering patterns risk-adjusted mortality rates in the US and UK.
Extended Cost Effectiveness Analysis Models in Developing Countries Context: The methodology of ‘extended cost-effectiveness analysis’ (ECEA) can evaluate a hypothetical publicly financed program for health interventions. Primarilly it measures program impact along four dimensions: 1) deaths averted; 2) household expenditures averted; 3) financial risk protection afforded; 4) distributional consequences across the wealth strata of the country populations.
Past Research TopicsEconomics of Civil War
Fuzzy Logic applied to Rationality and Utility Theory
While teaching mathematical economics I compiled a reading list on contemporary utility theory, and subsequently have added some personal thoughts on the subject, which can be read here.
I have compiled data and written reports for various professional and academic (read: student) projects. I have also learned to use perl and R for data management and analysis. Thus I have generated a small amount of human and computer capital related to a few topics. These include:
Please feel free to contact me if you have are interested in these topics and would like some help getting started, would like a bibliography, or would like to work together on a project involving them.
I have had various webpages, including one at neiu which still works, should you be interested in courses I taught there. I have and image of my old Iowa State page here.
"Max Planck, the great Nobel laureate who found Planck’s Constant, tried once to do economics. He gave it up. Now why did Max Planck, one of the smartest people who ever lived, give up economics? The answer is, he said, "It’s too hard. The best solution you can get is messy and uncertain." It didn’t satisfy Planck’s craving for order, and so he gave it up. And if Max Planck early on realized he was never going to get perfect order, I will confidently predict that all of the rest of you are going to have exactly the same result. (Quoted from a speech by Charlie Munger) With this in mind, how shall we teach math economics, how shall we profess that economics is an exact science, a mathematical science. Certainly it is not, let us remember this.