 Instructor: Jae Hoon Choi
 Class info (Syllabus)
 Summer session II (July 27th  August 28th)
 Class time: Monday & Wednesday & Friday 9:00AM  11:30PM
 Class location: Physical Sciences Building 114 (Map)
 Grade distribution
 Assignment 15%
 Midterm 1 5%
 Midterm 2 30%
 Final 50%
 This course is an introduction to the theory and application of statistics to economic problems. This course focuses on the techniques used in empirical research with a particular focus on intuitive understanding. Weekly problem sets will introduce real world applications and teach you the fundamentals of statistical programming. No prior knowledge of computer programming is required. Class meets three times a week for lectures which are mandatory, and once per week for section which are strongly suggested though not mandatory. You are expected to maintain the standards of academic integrity delineated here. Any violations of academic integrity standards will be dealt with in accordance with University policy.
 TA: Kyle Neering
Section: Thursday 9:00AM  10:10AM, Physical Sciences Building 114 Office hours: Tuesday 3:00PM  4:00PM, Engineering 2 403G Contact: kneering at ucsc.edu
 LSS Tutor: Lindsey Newman
Lecture Notes
 Lecture 1: Introduction, Population & Sample, Mean and Variance, Biased/unbiased estimator
 Lecture 2: Probability
 Lecture 3: Statistical inference (Significance test, Confidence Interval, Pvalue)
 Lecture 4: Relationship between two variables (Covariance, Correlation), Simple regression
 Lecture 5: OLS estimator, GaussMarkov assumptions
 Lecture 6: GuassMarkov assumptions, Goodnessoffit measures, Interpretation of OLS estimates
 Lecture 7: Multiple regression, Omitted variable bias
 Lecture 8: Quadratic terms, Comparing parameters, Multiple restrictions,
 Lecture 9: Adjusted Rsquared, Standardizing coefficients, Interaction term
 Lecture 10: Dummy variable, Instrumental variable
 Lecture 11: Differenceindifferences
 Lecture 12: Measurement error, Heteroskedasticity (BreuschPagan test, White test, WLS)
Assignments Exams Reading
 Jeffrey M. Wooldridge “Introductory Econometrics: A Modern Approach.” 5th edition (recommended)
Software and data
 Stata (Statistical software for data analysis)
 Stata GradPlan™: $38 Small Stata will be sufficient for this class
 The latest version is also available on Windows in computer labs  more
 Notes
 Data
Miscellaneous

