OVERVIEW

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 information-driven world.

LEARNING OUTCOME

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.

LEARNING THEMES

• 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

PEDAGOGY

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.

PARTICIPANT PROFILE

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.

PROGRAMME DIRECTOR

Prof. Shubhasis Dey

LAST DATE

Nomination forms duly filled along with the Course Fee should reach the MDP Office latest by December 02, 2010.

FEE

Residential : Rs. 19,500.00
Non-Residential : Rs. 16,500.00

CANCELLATION POLICY

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.