Monday 26 October 2015

RESEARCH METHODOLOGY ON THE ROLE OF COMMERCIAL BANKS IN AGRICULTURAL

CHAPTER THREE
3.0 RESEARCH METHODOLOGY
3.1 METHODOLOGY
The methodology to be adopted is multiple regression analysis, employing ordinary least square (OLS) technique.
The other technique is adopted because of the following reasons,
(1) The parameter estimates obtained posses optimal properties of un-biasedness, minimum variance, linearity etc.

(2) It is BLUE (i.e. best linear unbiased estimator).
(3) The computational procedure of OLS is fairly simple as compared with other econometric techniques.
(4) OLS is an essential component of most other econometric techniques (Kontsoyiannis 1997).
3.2 MODEL SPECIFICATION
3.2.1 DEPENDENT VARIABLE
AGDP: This is chosen as a dependent variable in the course of this study because it is used as an indicator for assessing the growth of agricultural output in the country.
3.2.2 EXPLANATORY OR INDEPENDENT VARIABLE
(a) Commercial bank credit advances to agricultural sector (CBCA). This is employed as an explanatory variable in the curse of study to show the total loan advances from commercial banks to agricultural sector.
(b) Real Interest Rate on Agricultural Loan (IRAL): This is used as an explanatory variable because it shows the rate of interest that causes the change in AGDP.
(c) Real Exchange Rate: This is used to capture the exchange rate volatility and its impact on the agricultural productivity level. It will be included as an explanatory variable.
3.3 STRUCTURAL PRESENTATION OF THE MODEL
This could be symbolically expressed as:
RAGDP = F (CBLAE, REIR, REXR)
Where:
RAGDP = Real Agricultural Gross Domestic Product.
CBLA = Commercial Bank Loan to Agriculture
RINTR= Real Interest Rate on Agricultural Loan
REXR= Real Exchange Rate.
3.4 MATHEMATICAL PRESENTATIOON OF THE MODEL
This can be mathematically written as:
RAGDP: b0 + b1CBLA + b2 REIR + b3 REXR +Ut
Where:
RAGDP = Real Agricultural Gross Domestic Product.
CBLA = Commercial Bank Loan to Agriculture
REXR = Real Exchange Rate
B0 = Constant term
B1 = Coefficient of CBLA
B2 = Coefficient of Real Exchange Rate
B3 = Coefficient of Real Exchange Rate
Ut = Stochastic error term.
Based on prior grounds, there should be a positive relationship between the CBLA and REXR explanatory variable and dependent variable, while the REIR will have negative relationship with the dependent variable.
3.5 METHOD OF EVALUATION
Having specified and estimated the parameters of model the research would proceed with the evaluation of the results of the calculation, that is, with the determination of the reliability of these results. That is, with the evaluation of the reliability of these results. The evaluation consists of
deciding whether the estimates of the theoretically meaningful and statistically satisfactory.
In view of the researcher will evaluate the estimated parameters using the following criteria;
(1) The adjusted R-²test
(2) The student t - test
(3) The f- test
(4) The Durbin – Watson test
1. The Adjusted R-²
This is also coefficient of multiple determinations. It measures the percentage of the total variation of the dependent variable (RAGDP) explained by the regression plane, that is by changes in explanatory variables, (CBLA, REIR, REXR). The value of R-² is between 0 and 1. The higher the R-² the better the goodness of fit of the regression plane to the sample observations, and the closer the R-² to zero worse the fit (Gujarati 2004).

2. The student T-test.......................................................................................

Order for the complete material, Visit the contact us page or call +2347034538881 

No comments:

Post a Comment

I HOPE THIS HAVE BEEN VERY INFORMATIVE,

Get the Full Material delivered to your Email, . Call us on 07034538881

Follow Us On Twitter,
Like Us On Facebook,
Join Our Cycle On Google+

we can keep u updated by subscribing for free using your email
For more clarification, Please Leave a comment.

Related Posts Plugin for WordPress, Blogger...