How would you decide who to give credit to from a set of credit applications
or who to hire in your company or who to insure in your insurance company?
How would you estimate the likelihood that your hostile takeover bid for a
company will succeed? What explains the number of hospital visits that
patients make in the hospital or the health insurance company that you are
running? How would you estimate a default rate or a credit score of your
potential customers? How would you estimate the monthly likelihood of default
of a car loan that you have offered or the likelihood that an employee in your company will leave this quarter? What and how would you infer when a
borrower wants to post collateral for your loan? How would you use the
information gained from tracking a group of customers over time?
To find answers to these questions one would require a firm understanding of
microeconomics, microeconomic data structures and microeconometric
techniques. Managers of the business world are often asked to make
qualitative and quantitative inference from various types of microdata, which
often hold the key to successfully implementing profitable strategies for their
businesses. Knowing how to collect, manage, maintain and make sense of
microdata is essential to running any successful business in today’s
The key objective of this program is to familiarize you with the various
techniques of microeconometrics and their business applications. In this
program we will use our knowledge of microeconomics to understand the
generation of various microeconomic data structures and show how
microeconometric techniques can be used to make rigorous business related
inferences from these data structures.
- Distinctive aspects of microeconometrics
- Microeconomic data structures and data manipulation techniques
- Binary outcome models: Probit and Logit models and their applications
- Multinomial models and their applications
- Ordinal models and their applications
- Count Data Models and their applications
- Censored regression model: Tobit model and its application
- Regression model of selection and its application
- Duration models and their applications
- Structural models and their applications
- Panel data models and their applications
The program will primarily rely on lectures and class discussions as modes
of communicating the theories behind the estimation techniques, which will
be appropriately supplemented by demonstrations of data manipulation and
estimation techniques using relevant microeconometric softwares.
The participants of this program will require basic knowledge of
microeconomics and statistics, acquired through either formal training or onthe-
job experience. Participants, who have no exposure to data-based
inference, will find this program a good place to start practicing hands-on
analysis and estimation of microdata using relevant microeconometric
softwares. Managers who are already making qualitative and quantitative
inference from various types of microdata will also find this program helpful
in making their business decision-making systems capable of handling an
extensive range of microeconomic data-generating processes.
Prof. Shubhasis Dey
Nomination forms duly filled along with the Course Fee should reach the
MDP Office latest by December 02, 2010.
Residential : Rs. 19,500.00
Non-Residential : Rs. 16,500.00
In the event of cancellation of nomination, full refund of the program fee will be made, if request is received in writing at least 15 days before commencement of the program. No refund will be made if such a request comes after this date. However, the amount can be adjusted against nominations in future programs in the financial year 2010-11.