Large Scale Data Analysis – LASI Online Course
Published on January 13, 2024
February 12, 2024 6:00 pm (IST)
Online - Webinar
Population ageing is a pertinent issue of society. Evidence based policy making requires ability to extract insights from appropriate datasets. This course is designed to introduce one of the world’s largest ageing databases, the Longitudinal Ageing Study in India (LASI). LASI is one of the sister surveys of Health and Retirement Study (HRS) of the US and comparable with similar surveys conducted around different regions and countries. The course will use applied techniques to learn the LASI database and the participants are expected to initiate their own study. During the course, the participants will also learn the basics of data management, and analysis using STATA software.
Expectations and Goals
By the end of the course, course participants will develop skills in how to conduct basic statistical analysis in line with research article publications in scientific journals. Since LASI is an ongoing prospective study, it is expected that a better understanding of it will be useful from policy perspective in future.
- Introduce participants to the STATA analysis software and its core features.
- Familiarize participants with the structure of LASI wave 1 data.
- Provide hands-on exercises using published papers in scientific journals based on LASI.
Personal Computer (PC) with stable internet connection. The participants are expected to have STATA software installed on their PC.
Class Days, Times, Location
Classes will be held online during 12 to 15 February. Schedule 6 PM – 7:30 PM.
Day 1: Introduction to LASI
Day 2: Introduction to STATA using LASI data. Understanding the structure of data.
Day 3: Replication of a study published using LASI database.
Day 4: Assignment
Appropriate Use of Course Resources:
Any unauthorized copying of the class materials is a violation of federal law and may result in disciplinary actions being taken against the student. Additionally, the sharing of class materials without the specific, express approval of the instructor may be a violation of the institute’s Honor Code and an act of academic dishonesty, which could result in further action. This includes, among other things, uploading class materials to websites for the purpose of sharing those materials with other current or future students.
Your attendance and active participation are an integral part of your learning experience in this course. Students are expected to attend class regularly. We will be taking attendance at each class. If students are not able to make it to class, please send an email to the course coordinator explaining your absence. It is expected that students will read all assigned readings prior to class. Students are encouraged to share their prior experiences with large scale data, if any, during class. We have designed the class to include a combination of large group presentations/discussions, and small group discussions and breakout sessions. The slides for the class will be available in the classroom at the end of the lectures.
You are expected to follow professional etiquette and common courtesy in all communication including email, discussion boards, and face-to-face. All electronic communications sent should follow proper English grammar rules to include complete sentences. This is a professional course, and you are expected to communicate like a professional.
Late Work Late
Late submissions will not be entertained. Such submissions will not be evaluated unless the instructors are not informed in advance due to extenuating circumstances, such as medical procedures or professional travel. Corrected submissions will not be accepted unless stated otherwise. Attendance on all course days and active participation in class is required to receive a course completion certificate.
The International Institute of Migration and Development (IIMAD) will provide technical support for the course. If you need help with installation and access to course materials, please contact the IIMAD Help Desk by email at email@example.com.
Course Registration Details:
COURSE FEE: Rs.4000
Payment to be made to :
Name of the Account: The International Institute of Migration and Development
Name of the Bank: Union Bank
Bank Address: T C 3/21(18) Mathews Arcade, Kesavadasapuram, Pattom Palace, Trivandrum 695 004
Account Number: 545101010050227
IFSC/ NEFT/RTGS: UBIN0554511
SWIFT CODE: UBININBBKHU
Registration link : https://forms.gle/j9VfqWBZUfcckZhC9
About Resource Person
Dr. Irshad CV completed PhD in Economics (Specialisation: Health Economics) from the Department of Humanities and Social Sciences at the Indian Institute of Technology Madras. He completed a bachelor’s and master’s in Economics from the University of Calicut. His Ph.D. thesis titled “Healthy Ageing in India: A Mixed Methods Approach” explored various research questions on healthy ageing in India using both quantitative and qualitative tools. His thesis work proposed the first multi- dimensional Healthy Ageing Index (HAI) for the health status measurement of older adults in India. Two of the core works of his thesis was published in the Journal of Population Ageing, an official journal of the Oxford Institute of Population Ageing, University of Oxford by Springer. His extended thesis work was also presented at a conference conducted by the Asian Development Bank, Manila, with full funding support from the Government of Japan. Besides his Ph.D. thesis work, he has been extensively collaborating with various researchers in Gerontology, and published works in reputed journals. In 2021, he received a research grant from the United Nations Population Fund (UNFPA) and International Institute for Population Sciences, Mumbai, to study social frailty status among older adults in India.
Dr S Irudaya Rajan
Dr Irshad C V
Assistant Professor Vellore Institute of Technology