We're Open
+44 7340 9595 39
+44 20 3239 6980

Estimate both the static and dynamic models using the time-series data over the period from 1950 to 2000 from ‘Macro_PEBLIF’ f

  100% Pass and No Plagiarism Guaranteed

Estimate both the static and dynamic models using the time-series data over the period from 1950 to 2000 from ‘Macro_PEBLIF’ for Ghana, Argentina, South Korea and Australia.

Econometrics assignment

The following are two macro production functions; the first is a static model, the second a dynamic model with a lagged dependent variable:

Static Model: Ln(yt) = β0 + β1 Ln kt + λ year + ut

Dynamic Model: Ln(yt) = β0 + β1 Ln (kt) + ρ Ln(yt-1) + λ year + vt

 

log(y) is the natural log of GDP per capita and log(k) is the natural log of capital per capita, Year is the trend variable.

The data for this exercise can be found in ‘Macro_PEBLIF’ (attached).

This macro data set is a merged file with data from PENN6.1, Barro and Lee (2000), the IMF Financial Statistics and measures of political and civil rights from the Freedom House annual ‘Freedom in the World’ survey over the period 1950 to 2000.

Answer the following in 2 pages:

1.  Estimate both the static and dynamic models using the time-series data over the period from 1950 to 2000 from ‘Macro_PEBLIF’ for Ghana, Argentina, South Korea and Australia.

2.  What are the assumptions that ensure the OLS estimates are unbiased and consistent and how can they be tested?

3.  What are the short- and long-run coefficients on capital and technical progress for both South Korea and Ghana?

4.  Establish the time-series properties of the arguments for the production function.

5.  Estimate the constant returns to scale production function and assess if the variables are cointegrated.

6.  The implications of variables having a unit root


100% Plagiarism Free & Custom Written,
Tailored to your instructions


International House, 12 Constance Street, London, United Kingdom,
E16 2DQ

UK Registered Company # 11483120


100% Pass Guarantee

STILL NOT CONVINCED?

View our samples written by our professional writers to let you comprehend how your work is going to look like. We have categorised this into 3 categories with a few different subject domains

View Our Samples

We offer a £ 2999

If your assignment is plagiarised, we will give you £ 2999 in compensation

Recent Updates

Details

  • Title: Estimate both the static and dynamic models using the time-series data over the period from 1950 to 2000 from ‘Macro_PEBLIF’ for Ghana, Argentina, South Korea and Australia.
  • Price: £ 79
  • Post Date: 2018-11-10T07:46:30+00:00
  • Category: Assignment
  • No Plagiarism Guarantee
  • 100% Custom Written

Customer Reviews

Estimate both the static and dynamic models using the time-series data over the period from 1950 to 2000 from ‘Macro_PEBLIF’ for Ghana, Argentina, South Korea and Australia. Estimate both the static and dynamic models using the time-series data over the period from 1950 to 2000 from ‘Macro_PEBLIF’ for Ghana, Argentina, South Korea and Australia.
Reviews: 5

A masterpiece of assignment by , written on 2020-03-12

Writing is not my field. I take help from this website for my accounting assignment. The work is good and I scored good grades in it. Thank you from the bottom of my heart.
Reviews: 5

A masterpiece of assignment by , written on 2020-03-12

I was worried about the plagiarism ration in my dissertation. But thanks to my dedicated writer, I received 0% plagiarism in all the chapters. I owe my writer a million thanks..!