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Philippine Economic Society (PES)

Online Course: Introduction to Stata

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Course Objectives

At the end of the course, participants should be able to:

  • Familiarize with the basic features and environment of Stata;
  • Harmonize data from the data editor function of Stata;
  • Run basic statistical analysis in Stata, such as descriptive statistics, hypothesis testing and graphics;
  • Apply and implement several econometric models in Stata; and
  • Operationalize and automate certain steps in the process.

Other Training Details

Training Fee: PhP2,500.00 per participant

Requirements:

  • Computer with installed Stata
  • Stable internet connection
  • Access to Zoom

How to Register

Register through the online form by clicking the button below.

Online Registration Form

 

Payment

Kindly pay the training fee of PhP2,500.00 per participant through any of the following options:

Bank Payment​

Deposit your payment to:

  • Account name: Philippine Economic Society, Inc.
  • Account number: 002281-0007-08
  • Bank branch: BPI-U.P. Techno Hub

Send a clear copy of your deposit slip, the accomplished membership form, and a valid student ID or proof of enrollment (for student membership applicants) to pes.eaea@gmail.com.

Online Payment

Pay your membership online through the button below and forward your transaction confirmation to pes.eaea@gmail.com:

Session

Learning Outcome

Activities

Assessment Strategies

Day 1

17 November 2021
(Wednesday)
2:00-5:00 PM

Be able to be familiarize with the basic features and environment of Stata

Demonstrations:

  • Interface, environment, commands
  • do files
  • log file
  • declaring data
  • Machine problem sets
  • One-page concept note on a sample research topic

Day 2

18 November 2021
(Thursday)
2:00-5:00 PM

Be able to harmonize data from the data editor function of Stata

Demonstrations:

  • Data cleaning
  • Generate new variables
  • Variable types, formats, labelling
  • Codebooks

Day 3

19 November 2021
(Friday)
2:00-5:00 PM

Be able to run basic statistical analysis in Stata such as descriptive statistics, hypothesis testing and graphics

Demonstrations:

  • Descriptive statistics
  • Hypothesis testing
  • Graphics

Asynchronous activities

after 19 November 2021

Be able to apply and implement several econometric models in Stata

Demonstrations: Regression analysis

  • Linear regression
  • Limited dependent variable
  • Panel data
  • Time series
  • Fixed and random effects
  • Selection models
  • IV
  • 'margins' and 'estout'
  • SEM
  • PLS
  • Factor models

Be able to operationalize and automate certain steps in the process

Demonstrations

  • Loops (if time is available)

Note: For the asynchronous sessions, video demonstrations will be provided via a Google Drive link that is open to all participants. The video recording of the synchronous sessions will also be made available in the Google Drive.

Attachment Size
Course Outline - Introduction to Stata_0.pdf 29.29 KB

Mr. Brian Irvyn Chan

Mr. Brian Irvyn Chan is currently a Lecturer at the School of Economics of De La Salle University (DLSU)-Manila and a Research Associate for an industry study under the DLSU Angelo King Institute for Business and Economic Studies. He has just recently completed his Bachelor’s degree and Master’s degree in Economics last June 2021 from the same university, with his master’s degree thesis discussing the effect of the COVID-19 pandemic on airline ticket factors and the air transport and tourism industry in the Philippines. His recent research stints include two research assistantships on the garments and textile industry, and input-output modelling and economics of natural disasters.