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Entrance Exam
 
 
  M.A. Programme |  Doctoral Programme
   
  Syllabus M.A. Credit Course Electives
 

Applied Econometrics for Market Research and Analytics

  1. Semester: III/IV
  2. Number of credits: 4

Preamble
The objective of this four credit course is to introduce students to statistical and econometric methods used in market research and analytics. The focus is on applications of techniques to real world problems using the programming language R and other software like SPSS and STATA.

Evaluation
The mid semester examination will be replaced by four examinations of 10 marks each. These examinations will emphasise the ability to apply theoretical knowledge to the real world. One examination will be conducted after teaching for each module is completed. This will be followed by the end semester examination of 60 marks.

Module 1: Data structures and multivariate methods (12 Lectures)
Simple random samples-multistage surveys-biased samples-quality of survey data-data from social experiments; Multivariate methods- Factor analysis-Principal components analysis-Cluster analysis –conjoint analysis.

Module 2: Bayesian Methods (12 Lectures)
Prior and Posterior distribution-Bayesian point and interval estimation- Bayesian analysis of Linear Regression-Monte Carlo integration Markov Chain Monte Carlo simulation-Gibbs sampler for SUR-data augmentation-Bayesian model selection-Practical considerations.

Module 3: Binary Outcome Models (12 Lectures)
Logit and Probit models-Multinomial models-Tobit and selection models- survival models – models of multiple hazard-models of count data

Module 4: Data and Models (12 Lectures)
Issues arising out of stratified and clustered sampling-treatment evaluation- measurement error models-missing data and imputation-multi –level and hierarchical models

References
1.
Cameron A.C and P. K. Trivedi (2006): Microeconometrics: Methods and Applications, Cambridge
University Press. (all modules)
2.
Dhrymes P.: Foundations of Econometrics. (Module 1)
3.
Crawley M (2007): Statistics: An Introduction Using R, Wiley. (all modules)
4.
Frances P.H. and Richard Papp (2008): Quantitative Methods in Market Research, Cambridge University
Press. (Module 3)
 
  Core Courses  |  Electives
 
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