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Applied Econometrics with Stata


Topics (Level):
Delivered by:
Course Code:
23-26 June 2014
Baruch College - The City University of New York (CUNY), New York, USA (View map)
General Econometrics & Statistics (Introductory / Intermediate)
Dr. Arnab Bhattacharjee, Heriott-Watt University (View profile)
Baruch College - The City University of New York (CUNY) Stata  Stata 13    Timberlake Consultants | Statistics | Econometrics | Forecasting
Overview Agenda Prerequisites Testimonials Prices Registration Terms & Conditions  


Timberlake Consultants invite you to attend the following four-day course to be held at Baruch College, New York City, USA between 23-26 June 2014.

Several major advances in time series, forecasting and panel data estimation and management and software engineering have occurred in the past few years. These advances provide a major breakthrough in the modeling of time series and dynamic panels using Stata 13 . The course aims to provide delegates with background on econometric modelling methods and demonstrate, using real-life business and industrial data, how to interpret and report the results.

The course will:

  • Review all major econometric modeling methods;
  • Provide a practical and systematic approach to the modeling of business and financial time series and dynamic panel data;
  • Provide hands-on experience in building econometric models using time series and panels - each delegate will have access to a computer throughout the course;
  • Provide an opportunity for you to meet with a panel of experienced modelers to discuss industry-specific applications related to forecasting and time series analysis.

Additionally, this course will cover the use of Stata in the field of econometrics and will be delivered using Stata 13.

Applied Econometrics using Stata is aimed at forecasters and researchers in:

  • Economic Research / Model Building;
  • Financial Modelling / Arbitrage Trading;
  • Quantitative Investment Management;
  • Sales and Inventory Forecasting;
  • Traffic Modelers;
  • Energy Load Forecasting;
  • University Instruction;
  • Academic Researchers.


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Preliminary Agenda

The course will include theory, demonstration and practical exercises for the following topics:

  • Classical Linear Regression Model;
  • Diagnostic testing;
  • ARIMA Models;
  • Non-Stationary Time-Series;
  • VAR Analysis;
  • Error Correction Models;
  • Limited Dependent Variable Models;;
  • Cointegration Analysis;
  • Non-parametric density estimation and regression;
  • Panel Data Analysis;
  • Duration Data Analysis.

Learning Ratio

This course has a learning ratio of approximately 80% practical to 20% theory.

Pre-course Reading

  • Angrist, J.D., and Pischke, J.-S., (2008). Mostly Harmless Econometrics: An Empiricists Companion, 1st Ed., Princeton University Press.
  • Greene, W.H., (2012). Econometric Analysis, 7th Ed., Prentice Hall.
  • Wooldridge, J.M., (2009). Introductory Econometrics: A Modern Approach, 4th Ed., Cengage Learning.

Supplementary Reading


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No knowledge of Stata required, but some undergraduate level knowledge of statistics or econometrics or both.


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Feedback & Testimonials

Coming soon.


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Cost (per participant):

Registration type Price
Commercial / Government $2,900.00
Academic / Non-profit research $2,260.00
Student registrations $980.00
Click here for Pricing FAQs »
  • All costs exclude local taxes, where applicable.
  • Student registrations: Attendees must provide proof of full time student status at the time of booking to qualify for student registration rate (valid student ID card or authorised letter of enrollment).
  • Additional discounts are available for multiple registrations (non-academic only).
  • Cost includes course materials, lunch, refreshments and the use of computers (please advise us if you have any dietary requirements).
  • If you need assistance in locating hotel accommodation in the region, please notify us at the time of booking.

The number of delegates is restricted. Please register early to guarantee your place.


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We welcome delegates to find out more and register for the course by contacting our sales and training team either by email: info@timberlake-consultancy.com, phone: +1 908 686 1251 or by filling out an online registration form.


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Terms & Conditions

For full Training Courses Terms & Conditions please click here.

Payment of course fees required prior to the course start date.

Registration closes 5-calendar days prior to the start of the course.

  • 100% fee returned for cancellations made over 28-calendar days prior to start of the course.
  • 50% fee returned for cancellations made 14-calendar days prior to the start of the course.
  • No fee returned for cancellations made less than 14-calendar days prior to the start of the course.


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Last modified: 2014-07-07 10:17:24
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