Share This Article
Background
The objective of the program is to impart knowledge on Econometrics and its applications from the context of empirical research for carrying out robust quantitative analysis in the various fields of Business, Commerce, Economics, Management, and Social Sciences.
The application of Econometric analysis especially in the fields of Finance, Business, and Management is becoming increasingly important for analyzing different day-to-day business problems.
The application of these analytical models on different datasets via statistical software has made a revolutionary transformation in the field of data analytics. The course will enable the participants to develop their conceptual clarity and practical knowledge which will help them to carry out robust empirical analysis in order to address applied problems.
Key Benefits
After attending the program, the participants will be able to:
Understand what Regression analysis is, & how an econometric model is formulated in the field of Economics, Finance, or Management
- Understand how econometric modeling helps in analyzing different datasets in order to arrive at the best fit model using various econometric indicators
- Acquire knowledge about the usage and application of ARIMA time series modeling for Forecasting in various fields of economics, finance, or management
- Understand the application of Principal Component Analysis (PCA) technique in the field of Economics, Finance or Management
- Understanding properties of Stationarity and Unit Root Testing for time series data
- Understand how long-run relationships are tested and estimated using Cointegration & error correction models like VECM
This Workshop is suitable for
Faculty members and research scholars (across all areas) from educational institutes who are interested in Data Analysis and Forecasting, who need to develop an understanding of econometrics, how various econometric techniques can be applied in order to analyze the data and come out with feasible and meaningful solutions.
Pedagogy
The course uses a mix of interactive techniques, such as topic-wise detailed discussions on theory followed by thorough practical sessions. All the participants will get training on an important software STATA by learning how to apply various econometric models and conduct data analysis using this software.
Major Topics
The program consists of four modules, first one focuses on Regression analysis and related topics, the second one focuses on ARIMA modeling, the third one talks about the Principal Component Analysis (PCA) technique and finally, the fourth module focuses on Vector Error Correction (VECM) models. The course emphasizes on application and implementation
Schedule:
of these four modules and related econometric techniques. Further, the usefulness of these econometric techniques is illustrated using real-world examples and its implementation is demonstrated using relevant software programs like STATA.
Module 1: INTRODUCTION TO REGRESSION ANALYSIS
Topics to be covered
- Definition of Regression
- A brief overview of the Classical Linear Regression Model and its assumptions
- Importance of indicators like R2 and Adjusted R2, p-value significance
- How issues like Heteroskedasticity and Multicollinearity impact an econometric model and how to deal with them
- Dummy variable trap
Duration of the Module: 3 hours
Module 2: Introduction to ARIMA Modelling
Topics to be covered
- Introduction to Auto-Regressive Integrated Moving Average (ARIMA) models
- Defining the three major components of ARIMA models
- Defining the three major components of ARIMA models
- Selection of values for three major components of ARIMA models from Autocorrelation function (ACF) and Partial Autocorrelation Function (PACF) graphs
Duration of the Module: 3 hours
Module 3: INTRODUCTION TO PRINCIPAL COMPONENT ANALYSIS (PCA)
Topics to be covered
- What is Principal Component Analysis (PCA)
- Importance and advantages of using PCA technique
Duration of the Module: 2 hours
Module 4: VECTOR ERROR CORRECTION (VECM) MODELS
Topics to be covered
- Defining Stationarity and unit root testing
- Understanding what is meant by Cointegration
- Testing and estimating cointegrating systems by Johansen Juselius Technique
Duration of the Module: 2 hours
Fee Details:
Prior registration of the participants is mandatory for attending the workshop. The fee details of different category of participants are as follows:
S.No Participant Category |
Fees Applicable INR 1500 |
|
1 |
Research Scholars/ Teaching Assistants/ Research Assistants |
|
2 |
Faculty Members |
INR 2000 |
3 |
Foreign Participants |
USD 50 |
The Registration fees include access to online lectures, reading material shared by session instructors, and merit certificates for the workshop. Fees paid are non-refundable unless the Summer School is canceled due to unavoidable situations.
Payment Details for Registration:
Interested participants can pay the fees through IMPS
A/c Number |
913010055532925 |
Account Name |
Jaipuria Jaipur Fees Collection Account |
IFSC Code |
UTIB 0000040 |
Bank Name & Branch |
Axis Bank, Pitampura, New Delhi |
How to apply:
Interested persons can apply till 8th June 2021 by paying the registration fees and filling the form with the link below https://forms.gle/19Hbr1hMZSP4QDbm7
Brief Profile of the Resource person:
Dr. Varun Chotia is presently working as an Assistant Professor, Economics and Program Chair
– First Year at Jaipuria Institute of Management, Jaipur Campus, Jaipur, Rajasthan, India. He is also the PAN Area Coordinator of Economics and IB area at Jaipuria Institute of Management. Prior to this, he has worked at LM Thapar School of Management, Thapar Institute of Engineering and Technology (Deemed to be a University). He has completed his Ph.D. degree in Economics from the Department of Economics and Finance, BITS Pilani. His research specialization lies in the field of Public Infrastructure Investment and Fiscal Sustainability wherein he uses prominent econometric models for empirical analysis.
Dr. Varun is an avid researcher with more than 20 research papers published in reputed International and National Journals to his credit. Before coming into academics, he also possesses around two years of corporate experience working as a Business Analyst in corporate firms like IMS Health and Accenture Management Consulting. He has passed out from BITS PILANI with an MSc (Hons) in Economics.
ABOUT JAIPURIA INSTITUTE OF MANAGEMENT, JAIPUR
Jaipuria Institute of Management, Jaipur is a part of the Jaipuria Group of institutions established under the Integral Education Society. The Jaipuria group has a long heritage of providing educational excellence to the youth of India since the establishment of Seth Anandram Jaipuria College in Calcutta (now Kolkata) in 1945. The first management institute of Jaipuria was established in 1995 in Lucknow, followed by Noida (2004), Jaipur (2006), and Indore (2010). The PGDM program offered at Jaipuria Institute of Management, Jaipur is approved by the AICTE (All India Council of Technical Education), accredited by the NBA (National Board of Accreditation), and recognized by AIU (Association of Indian Universities) as equivalent to MBA degree. The institute also runs AICTE approved PGDM- Service Management program and doctoral level Fellow Program in Management (FPM). The institute has been awarded Graded Autonomy (Grade 2) from AICTE and it has been listed under Great Place to Work by Great Place to Work Institute.
The institute strives to inculcate life skills in students and provide the opportunity and assistance in what they would want to become in life. IIMAhmedabad has written a case study on Jaipuria Institute of Management, Jaipur focusing on student engagement initiatives and its attempt to blend formal and informal learning systems. The infrastructure, ambiance, learning ecosystem available at Jaipuria-Jaipur altogether provides an excellent, conducive, and serene milieu for students to grow and realize their potential. There are four pillars of the student-centric learning model at Jaipuria Institute of Management, Jaipur.
1. Deeper Industry interface through sharing of learning and MoUs, Mentoring and Internship
2. Blending of formal & informal learning and strong Individual Development Plans IDPs
3. Leveraging technology to provide 24*7 learning environment, and
4. Emphasis on holistic development through strong social connect and global exposure.
Jaipuria Institute of Management, Jaipur takes concerted efforts towards enhancing deep learning resulting in significant learning experiences and meaningful student engagement leading to several positive outcomes in terms of improved employability and improved placements.
Tina Jain, Program Coordinator Summer School Office Jaipuria Institute of Management 1, Bambala Institutional Area, Pratap Nagar, Sanganer, Jaipur - 302033 (Rajasthan) M: +91-80059 16188 | E: tina.jain@jaipuria.ac.in
For further details on Jaipuria, please visit us at www.jaipuria.ac.in/jaipur
Also, watch the Interview:
http://65.2.154.159/research-stories/dr-pankaj-prabhat-learning-to-change-the-world/
