 Instructor: Jae Hoon Choi
 Class info (Syllabus)
 Summer session II (July 28th  August 27th)
 Class time: Monday & Wednesday 09:00AM  12:30PM
 Class location: Jack Baskin Auditorium 101 (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 twice a week for lectures and once per week for section which are strongly suggested though not mandatory. There will be two midterm exams followed by a comprehensive final. Though you may work in groups on problem sets you must turn in your own homework and write up the answers on your own. 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 10:00AM  11:10AM, Jack Baskin 165
 Office hours: Tuesday 10:00AM  12:00PM, Engineering 2 403G
 Contact: kneering at ucsc.edu
 MSI: Sarmad Moalem
Lecture Notes  Lecture 1: (July 28th) Introduction, Population & Sample, Mean and Variance, Unbiased estimator
 Lecture 2: (July 30th) Probability, Statistical inference (Significance test, CI, Pvalue)
 Lecture 3: (August 4th) Relationship between two variables (Covariance, Correlation)
 Lecture 4: (August 6th) Simple regression, OLS estimator
 Lecture 5: (August 11th) GaussMarkov assumptions, Multiple regression
 Lecture 6: (August 13th and 18th) Omitted variable bias, Quadratic terms, Comparing parameters, Multiple restrictions
 Lecture 7: (August 18th and 20th) Adjusted Rsquared, Standardizing coefficients, Interaction term, Dummy variable, Instrumental variable
 Lecture 8: (August 25th) 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™: $35 Small Stata will be sufficient for this class
 The latest version is also available on Windows in computer labs  more
 Notes
 Data

