Week  Topic  Content and Reading Assignment  Teaching Activities and Homework    1  Course Introduction  Course requirements, Class overview, and Review of Basic Statistics  Lecture   2  Overview of Real Estate Analysis  Quantitative Approach, Model Building in Real Estate Analysis  Lecture   3  Data Processing for Real Estate Analysis (1)  Introduction of SAS software, Read and Write Data in SAS  Lecture & Exercise   4  Data Processing for Real Estate Analysis (2)  Commonly Used Essentials in SAS(1): Basic Commands  Lecture & Exercise   5  Data Processing for Real Estate Analysis (3)  Commonly Used Essentials in SAS(2): Conditional and Iterative Processing  Lecture & Exercise   6  Data Processing for Real Estate Analysis (4)  Commonly Used Essentials in SAS(3): Combining Datasets  Lecture & Exercise   7  Basic Statistics for Real Estate Analysis (1)  Basic Statistical Procedures in SAS(1): UNIVARIATE, FREQ  Lecture & Exercise   8  Basic Statistics for Real Estate Analysis (2)  Basic Statistical Procedures in SAS(2): CORR, TTEST, GLM  Lecture & Exercise   9  Regression Analysis (1)  Overview of Regression Analysis  Lecture & Exercise   10  Regression Analysis (2)  Regression Analysis Using PROC REG in SAS  Lecture & Exercise   11  Regression Analysis (3)  Further Issues in Regression Analysis: Endogeneity (1)  Lecture & Exercise   12  Regression Analysis (4)  Further Issues in Regression Analysis: Endogeneity (2)  Lecture & Exercise   13  Discrete Dependent Variable Models  The Logit and Multinomial Logit Models  Lecture & Exercise   14  Panel Data Analysis  Basic Panel Data Models  Lecture & Exercise   15  Time Series Analysis (1)  Overview of Time Series Analysis  Lecture & Exercise   16  Time Series Analysis (2)  Regression Analysis with Autocorrelated Errors  Lecture & Exercise   17  Time Series Analysis (3)  Modeling the Dynamics of Multiple Time Series  Lecture & Exercise   18  Final Exam   Exam  

Reading materials will include books:
1. Brooks, Chris and Sotiris Tsolacos (2010), Real Estate Modelling and Forecasting. Cambridge University Press.
2. Ajmani, Vivek B. (2011), Applied Econometrics Using the SAS System. John Wiley & Sons.
3. Cody, Ron(2018), Learning SAS by Example: A Programmer‘s Guide, Second Edition. SAS Institute.
4. Brocklebank, John C., Dickey, David A., and Bong S. Choi (2018), SAS for Forecasting Time Series, Third Edition. SAS Institute.
5. Anders Milhøj (2016), Multiple Time Series Modeling Using the SAS® VARMAX Procedure. SAS Institute.
6. Wei, William W. S. (2018), Multivariate Time Series Analysis and Applications (Wiley Series in Probability and Statistics). Wiley.
7. SAS User's Guide, Programmer’s Guide, Procedures Guide, etc.
