Application of Econometric Models Using STATA for Addressing Economic Questions

The ICARE – International Center for Agribusiness Research and Education

invites you to participate in a training on

Application of Econometric Models Using STATA for Addressing Economic Questions

conducted by

    Lena Mamikonyan

Dates
The 2-day intensive training will take place on April 4th and 5th, 2018.

Venue
International Center for Agribusiness Research and Education (ICARE).
Address: 74 Teryan Street, 0009 Yerevan.

Time
18:30 – 20:45, Yerevan time (this includes a coffee break). For details, see the agenda below.

Working language
The working language of the training will be Armenian; however, the PowerPoint slides will be in English.

Level
Intermediate.

Training participation fee
The training is free of charge. While similar hands-on trainings are quite expensive, ICARE fully covers the associated expenses for the participants, thus staying true to its charitable, social, scientific, and educational commitments.

Training description
In this hands-on training, the participants will first be introduced to the basics of STATA. Then, they will be exposed to addressing economic questions (i.e., how much to produce, demand and supply functions and equilibrium price, estimation and empirical use of elasticities, basic forecasting, etc.) by estimating econometric models using the STATA software package.

Target audience
The purpose of this training is to introduce the participants to STATA and to equip them with practical skills for making educated economic decisions. This training uses the regression analysis applied to various sample datasets and is intended for economists, business consultants, business analysts, economics students, and other interested parties that do economic analysis in any type of production or service industry (food industry, consulting, wholesaling/retailing, banking, etc.). Participants are not expected to be intimately familiar with STATA or econometrics; however, it is recommended that they have a basic background in economics and regression analysis.

 Expected outcomes
After completing the training, participants will be able to:

  • Use the STATA statistical software package for empirical analysis  
  • Build and estimate an appropriate regression model
  • Interpret and explain the estimation results
  • Use the estimation results for addressing economic problems  

Software
The STATA 10 statistical software package will be used. A copy of STATA 10 will be installed on participants’ notebooks by the training organizers before the start of the training free of charge.

 Presentation methods
A combination of PowerPoint presentations and in-class computer exercises will be used. The participants will be provided with training material ahead of time. A dynamic discussion and exchange of ideas through interactive class participation will be strongly encouraged.

Trainer
Ms. Mamikonyan received her Master’s degree in Agribusiness and Marketing from Armenian National Agrarian University (ANAU). Currently, she works as an instructor and graduate research and teaching assistant in the Master of Agribusiness (MAB) program at the ANAU. She assists in teaching graduate courses such as Econometrics and Managerial Economics, and teaches Business Statistics, Agribusiness Analysis and Forecasting and Business Management Applications in the MAB program. Also, she works as a manager of programs at the Union of Credit Organizations of RA (UCORA).

Registration procedure and deadline
If interested, please register for the training by filling out the attached registration form (in English) and emailing it to the training coordinator, Lena Mamikonyan at lenamamikonyan@gmail.com. Registration deadline is 18:00 pm, April 1st. The seating is limited. ONLY SHORTLISTED APPLICANTS WILL BE NOTIFIED FOR PARTICIPATION.

Contacts
If you have questions, please contact Lena Mamikonyan or call at 093 42-59-55.

Agenda

April 4

Time

Topics

 

18:30 – 19:30

Basics of STATA

 

19:30 – 19:45

Coffee break

 

19:45 – 20:45

Basic correlation and regression analysis

April 5

Time

Topics

 

18:30 – 19:30

How much to produce? Estimating demand and supply equations, equilibrium price. Elasticity estimation and their practical application

 

19:30 – 19:45

Coffee break

 

19:45 – 20:45

Identifying driving factors affecting sales. Forecasting economic variables accounting for trend and seasonality

 

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