URP 513– Quantitative Methods for Planning
Course No.: 21667
Department: Urban and Regional Planning
Semester: 2017 Fall
Location: Hayes Hall – 301
Meeting Day(s): Monday
Meeting Time: 6:00 PM - 8:40 PM
This course consists of three topics: General Regression Models, Discrete Choice Models, and Input-Output Models. To achieve this goal, we will apply the learned concepts empirically, emphasizing the use of MS-Excel and SPSS programs. In General Regression Models, , students will learn how to run diverse models based on Ordinary Linear Squares (OLS) and to forecast the future considering current data sets and conditions. Also, students will be taught the basic discrete choice models of Logit, Probit, Multinomial and Nested Logit models which are widely applied to discrete choices such as the choice to buy a house, to travel by car, etc. With Input-Output models, students are expected to apply BEA’s Social Account Matrix or other available Input-Output models (IMPLAN) to their own projects to estimate indirect and total economic impacts, based on direct impacts calculated from a researcher.