Reference no: EM131114806

The focus of this analysis involves analyzing key economic themes such as demand, production, cost, and market structure with quantitative techniques like regression analysis and linear programming for a specific company.  For purposes of this project you will select a product or service with substantial data. 

Some possible topics: unemployment and crime, exports and underdeveloped countries, demand/supply of higher education, air pollution and population, etc.  

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  • Introduction and Statement of Problem: What problem are you trying to solve?  This is where you would discuss key information; why the issue/problem is important, sources of data you plan to use, estimation procedure you will use, variables, assumptions, weaknesses of data, etc.  (Some possible topics: unemployment and crime, exports and underdeveloped countries, demand/supply of higher education, air pollution and population, etc. )
  •  Introduce and describe the product or service being evaluated.  Why the issue/problem is important
  •  Model Formation:  This refers to the model, hypothesis, or theoretical framework that will be used to explain and/or forecast some variables. In the usual case, the model will be in the form of functional equations. QD = f(P, Y, ...)
  • Data Sources:  Include the sources of data you plant to use, complete description with references.
  • Variables:  What variables are used?  Why are the variables used in the model?, Consider relation among measurable variables,  what is the impact of an independent variable X on a dependent variable Y, what are some additional independent variable that could influence variable Y
  • Assumptions of Data:  Consider the following in your analysis; accurate/consistent, sample is representative of the population, unbiased, efficient
  • Weaknesses of Data:  Currency, not complete data set, biased selection, not scientifically accurate
  • Estimation Procedure:  Consider what estimation procedure you plan to use (if you are using time series data, be sure to account for the identification problem).   Why this particular procedure was chosen.