Model for capturing the potential relationship


The  main  objective  of  this  project  is  to  apply  the  econometric  methods  that  you  have acquired from the course in order to demonstrate that you can create a reliable and useful model for capturing the potential relationship between variables of interest. This could be achieved as the following:

Select two  or more  than two  variables  that you  are interested  in and  collect  the data. Describe each variable and explain what the expected relationship between the variables is (i.e. what is your theory). Provide information about your sample period, data  frequency  and  data  source. Determine  your  dependent  variable  and motivate  why. Make  a  graphical  illustration  of  each  variable  and  provide descriptive statistics for each.

Estimate  the  regression  equation.  Conduct  diagnostic  tests  (i.e.  tests  for  no misspecification,  no  autocorrelation  (if  time  series  data  is  used), homoscedasticity and  normality).  If  any desirable  assumption  for  a  good  model is not fulfilled, try to find a remedy.

Present the  estimations  of  the selected model  and  explain  what  your  estimation results imply.

It is recommended to organize your project in different sections. For example, in the  first  section you can  describe  what  the  goal  of  your  project  is  and  how  you intend to achieve that goal. In the second section you can describe your theory in order to define your model. In the third section you can present your estimation results. The last section can provide  summary and conclusions of your study.  It is recommended to provide a reference list at the end of the final report. Hand in a printed copy of your project. You will be informed about the submission date later. It  is  important that  you  write  your  full  name  and  student  id  number. Use EViews to do the estimations.

Request for Solution File

Ask an Expert for Answer!!
Other Management: Model for capturing the potential relationship
Reference No:- TGS01432004

Expected delivery within 24 Hours