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This course is a basic core method course for graduate students in planning.  It introduces students to the logic, structure, process, and methods of planning research. The point of this class is not to become more theoretical. The objective is to reconcile gaps between what we believe with what we observe. To achieve this goal, we will apply the learned concepts empirically, emphasizing the uses of Excel and SAS (or SPSS) programs, arguing from data. Course topics include research design and process, and basic statistical methods of analyses. Also, basic econometrics methods which are used more widely for actual research are taught. After taking this course, students are expected to be able to pursue independent research.


This course is an advanced empirical method course for graduate students in planning, policy, geography, economics, or related fields. It introduces students to the empirical applications widely used in social science research. This course consists of three topics: Risk Modeling, Discrete Choice Models, and Input-Output Models. In Risk Modeling, students will be learning how to add uncertainty to Ordinary Linear Squares (OLS) and to forecast the future considering uncertainties in the current data set. Also, students will be taught the basic discrete choice models of Logit, Probit, and Multinomial Logit models which are widely applied to the discrete choices; whether or not persons buy a house, travel with a car, etc. With Input-Output models, students are expected to apply BEA’s Social Account Matrix or other available Input-Output models to their own projects to estimate indirect and total economic impacts, based on direct impacts calculated by them.  


This course examines how economics can help planners understand the function of cities and regions. Understanding the nature of the relationship between cities and regions are critical for planners because cities are the crux of industrialization and connected to wider geographical regions. Especially, planners need to explain various urban and regional problems and to scrutinize appropriate policies on the problems, based on quantitative, systematic tools of economics. This course provides various economic tools for understanding the urban and regional problems such as housing, transportation, poverty, growth management, fiscal problems, economic development, and urban disasters.