Week 1 - Intermediate Quantitative Methods Timothy J. Fik...

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Unformatted text preview: Intermediate Quantitative Methods Timothy J. Fik Associate Professor GEO 4167 section #6647 (undergraduate) GEO 6161 section #8377 (graduate) Credit hours: 3 Thursdays (periods 2-4): 8:30-11:30AM Location: TUR 3012 SPRING 2012 Intermediate Quantitative Methods GEO 4167c/GEO6161 Prerequisites: GEO 3162C/Geo 6160 or equivalent My e-mail use it sparingly! fik@ufl.edu Course Overview This course surveys various statistical techniques that are widely used in the social, behavioral, spatial, and environmental sciences. Lectures will focus on several important topics including measures of spatial association and dependence, linear and non-linear model development, diagnostics, and remedial methods. The majority of lectures will be devoted to the topic of Regression Analysis and various aspects of the what can be described as the General Linear Model (GLM). Applications will involve estimation of regression models using cross-sectional, qualitative/categorical, time-series, and spatial data. Least Squares Regression Methods (OLS, WLS, GLS) Regression -- interpretation, diagnostics, remedial measures Matrix Algebra Approach to Regression Error Term Diagnostics Measures of Leverage and Influence Measures of Spatial and Temporal Autocorrelation Use of Dummy Variables Interaction/Interactive Variables Introduction to Time-Series Analysis/Regression Robust Regression models Regression Modeling and Functional Form Probit Models Logistic Regression Discriminant Analysis (time permitting) Selected topics will include Course Objectives are three-fold: (1) Familiarize students with procedures, statistics, diagnostics, and remedial measures commonly used in regression modeling and multivariate analysis; (2) Allow students to gain hands-on experience in applied quantitative methods and modeling through various take-home lab assignments and the completion of a final term project ( please consult on-line syllabus for details and project guidelines ); and (3) Give the more advanced students experience in writing and presenting a research paper in which they identify a research question and evaluate hypotheses, construct a model, generate statistical results, and present statistical findings. Required reading. The textbook for this course is Basic Econometrics by D. Gujarati (2007), 4 th edition. This is an excellent book on the topic of Regression Analysis. Note that the material is presented by an economist/econometrician but dont let that throw you. The techniques are universal in terms of how they can be applied. Note: You are responsible for all material covered in both the lectures and the required reading assignments (regardless if the material or topics covered in the assigned readings are reviewed during the lectures)....
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Week 1 - Intermediate Quantitative Methods Timothy J. Fik...

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