Listed in: Economics, as ECON-429
Mesay Melese Gebresilasse (Section 01)
In this course, we will explore key development topics with a focus on research papers that use geospatial analysis to answer fundamental questions related to economic development. Geospatial analysis has been applied in economic research to examine an array of factors that shape economic development including roads, internet access, trade links, institutions, slavery, climate change, and inequality. We will carefully read a selection of journal articles that employ geospatial analysis, paying close attention both to the important economic insights as well as the econometric and geospatial methodologies employed in the articles. The course will begin with an introduction of the main types of datasets, tools and techniques employed in geospatial analysis using R programming language. In addition to carefully studying and discussing selected research papers that apply geospatial analysis, students will also replicate some of the analyses presented in these papers. Overall, the course aims to familiarize students with the application of geospatial analysis in cutting-edge economic research and enable them to develop an original research project that makes use of the tools and techniques explored in the course.
Requisite: ECON 300/301 and ECON 360/361. Limited to 15 students. Spring semester. Professor Gebresilasse.
How to handle overenrollment: In case of over-enrollment, priority will be given to juniors and seniors, particularly those interested in engaging in research that may require the application of geospatial analysis.
Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: An emphasis on written work, readings, oral presentations, independent research, in-class quizzes or exams, quantitative work, visual analysis
Section 01
M 2:30 PM - 3:50 PM SMUD 006
W 2:30 PM - 3:50 PM SMUD 006