StataCorp will be offering sessions of NC-152 and NC-461 will be starting
October 10th. The NetCourses are available on the Internet using a web-based
system to deliver lectures, problem sets, and solutions. Course participants
and Stata course leaders interact through a bulletin board to discuss the
course and to ask and answer questions.
Here is a little more information about the upcoming NetCourses:
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NetCourse 152. Advanced Stata programming
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Course length: 7 weeks (5 lectures)
Course dates: October 10 through November 28
Deadline for enrollment: October 9
Cost: $150
Course Leaders: Kevin Crow, Kerry Kammire,
and Theresa Boswell
Prerequisites: Stata 10 installed and working.
Internet web browser installed and
working. NetCourse 151 or equivalent
knowledge. (Course is platform
independent.)
Schedule:
Lecture 1 October 10
Lecture 2 October 17
Lecture 3 October 24
One-week break October 30 through November 5
Lecture 4 November 7
Lecture 5 November 14
Closing discussion
Course ends November 28
Content:
o The -syntax- command and how it makes parsing command syntax
and options almost as easy as writing a syntax diagram,
o Estimates and return classes for saving and accessing
results,
o Setting the estimation sample,
o Advanced macro manipulation,
o The full range of Stata programming concepts.
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NetCourse 461. Introduction to Univariate Time Series Using Stata
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Course length: 7 weeks (4 lectures plus overview of
multivariate methods)
Course dates: October 10 through November 28
Deadline for enrollment: October 9
Cost: $295
Course Leaders: Brian Poi and Gustavo Sanchez
Prerequisites: Stata 10 installed and working.
Course content of NetCourse 101 or
equivalent knowledge. Familiarity
with basic cross-sectional summary
statistics and linear regression.
Internet web browser, installed and
working. (Course is platform
independent.)
Schedule:
Lecture 1 October 10
Lecture 2 October 17
Lecture 3 October 24
One-week break October 30 through November 5
Lecture 4 November 7
Overview November 14
Closing discussion
Course ends November 28
Content:
o Working with time-series data in Stata
o Drawing graphs
o Exponential smoothers and forecasting techniques
o Time-series processes
o Sample autocorrelation and partial autocorrelation functions
o ARIMA and seasonal ARIMA models
o Autocorrelation and regression analysis
o Nonstationarity and unit-root tests
o ARCH/GARCH models
o Vector autoregressions (VARs) and vector error correction
models (VECMs)
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More information
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You can find out more about Stata NetCourses by pointing your web browser to
http://www.stata.com/info/products/netcourse/
-- Kerry Kammire, StataCorp
[email protected]
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* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/