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AMDA-W07
(PGDM [PT-Weekend] 2007-10 : Term-VIII)

ADVANCED METHODS OF DATA ANALYSIS
(Faculty: Prof. P. Mishra)


COURSE OUTLINE




The behavior of economic variables is determined by the joint and simultaneous operation of a number of economic relations. Such relations are observed in product, service and financial markets. These relationship(s) are used to estimate and forecast the future movements of the variables under study. In such circumstances the manager is confronted with the task of decision making by using several econometric/statistical models which capture the crucial features of the economic sector or system and the above mentioned relationships. Moreover, for a decision making process a manager takes a holistic view of the economy/market. This leads to the understanding of simultaneous operation/interaction of the variables which form the basis of multivariate analysis.

The Course viz., Advanced Methods of Data Analysis (AMDA) seeks to sensitize the students on various methods of data analysis especially the multivariate data analysis methods. It focuses on the use of multivariate analysis and their applicability in the economy/market. Basic econometric problems and their possible remedies with respect to single equation models under dependence methods along with the application of a few multivariate techniques from the interdependence methods form the contents of a course like this.


The course will be a project-oriented course so as to give the participants an opportunity to use the different techniques, acquaint themselves with the related problems in estimation and their applicability in the realistic situation.

Pedagogy:

The course is divided into two parts i.e. (i) the theoretical concept of the multivariate techniques and (ii) the application of the techniques in the realistic situations. The participants will make use of SPSS and other statistical packages to analyze the data. The theoretical concept relating to the techniques will be dealt in the lecture sessions and the participants shall have to apply the techniques by using data collected from the market/villages. The presentation and discussions will be used to acquaint the participants with the interpretation of different statistics of the multivariate tools.

The exercises will focus on group work during the term. The groups will collect data for the group exercises and use those in the multivariate techniques and present it in the class for discussion.

The groups will submit a final project within one month from the date of completion of the term. The final report will incorporate all the exercises and the participants will take note of the points made and feedbacks given during the presentation.

Topics To Be Covered Including Presentation
Sessions *
    A
A brief Review of the Tools for Data Analysis with special reference to Dependence and Interdependence Methods
1
Dependence Methods:
    a) Multiple Regression as a tool for Data Analysis. Problems of estimation & prediction in the presence of heteroscedasticity, multicollinearity, autocorrelation and specification error in Multiple Regression with their possible remedies
      b) Dummy variables and their uses including introduction to Binary Choice Models (Logistic Regression)
        c) Discriminate Analysis
        6





        4



        2
        Interdependence Methods
          a) Factor analysis
          b) Cluster analysis
          c) Multidimensional scaling (incase time permits)
          3
          2
          2

          References:

          There are a few books on the techniques of data analysis. A few books on Social Research Methods will also be useful for this course. The following books will be very useful for understanding the concepts, fitting the data in the models and interpreting the statistics.

          1.
          		Econometric MethodsJ. Johnston
            2.
          		Basic EconometricsD.N. Gujarat
            3.
          		Multivariate Data AnalysisJ.E. Hair Jr. et.al
            4.
          		Business Research MethodsCooper & Schindler
            5.
          		Research MethodologyC.R. Kothari

          Evaluation:

          Class Assignment & Presentation 30%
          End Term 50%
          Final Project 20%

          Personal interviews with the participants/groups will be correction factors.

          Good Luck!
          Created By: Bijoy Kar on 06/09/2007 at 01:59 PM
          Category: ExPGP-NR-III Doctype: Document

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