DETERMINING FACTORS AFFECTING WHEAT INSURANCE DEMAND: THE COMPARISON OF CLASSICAL AND BAYES ECONOMETRIC APPROACHES

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KARBASI A.R.; ZIAEE S.; ABDOSHAHI A.

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: AGRICULTURAL ECONOMICS: IRANIAN JOURNAL OF AGRICULTURAL ECONOMICS (ECONOMICS AND AGRICULTURE JOURNAL) Year:2010 | Volume:4 | Issue:2 Page(s): 149-163

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

842

Download:

Cites:

Information Journal Paper

Title

DETERMINING FACTORS AFFECTING WHEAT INSURANCE DEMAND: THE COMPARISON OF CLASSICAL AND BAYES ECONOMETRIC APPROACHES

Author(s)

KARBASI A.R. | ZIAEE S. | ABDOSHAHI A. | Issue Writer Certificate

Keywords

BAYESIAN ECONOMETRICSQ3

MAXIMUM LIKELIHOOD ESTIMATIONQ3

METROPOLIS HASTINGS SAMPLINGQ3

INSURANCEQ2

NEYSHABOURQ2

Abstract

The aim of this study was to determine factors affecting wheat INSURANCE demand by the farmers of NEYSHABOUR region as well as to compare the estimated parameters by classical and Bayes approaches in large and small samples. Data were collected from 125 farmers (large sample) and 50 farmers (the small sample) were randomly selected among the large sample. Logit model was applied to the data for pursuing the objectives of this study and MAXIMUM LIKELIHOOD ESTIMATION (MLE) and METROPOLIS HASTINGS SAMPLING (MHS) were applied to estimate parameters of the model. In large sample, the results showed that variables such as family size, having non- agriculture occupation, type of ownership and risk taking have negative and variables such as education level, participating in extension classes and cultivated land have positive effects on INSURANCE demand with both MLE (classical) and MHS (Bayes) approaches. Moreover, in small sample, the results indicated that the estimators of Bayes approach are more robust than classical approach. Therefore, it is possible to increase farmers demand for crop INSURANCE by using policies such as increasing the farmers' education level, holding extension classes and conceding incentives such as credit.

Cites

References

No record.

Cite

APA: Copy

KARBASI, A.R., ZIAEE, S., & ABDOSHAHI, A.. (2010). DETERMINING FACTORS AFFECTING WHEAT INSURANCE DEMAND: THE COMPARISON OF CLASSICAL AND BAYES ECONOMETRIC APPROACHES. AGRICULTURAL ECONOMICS: IRANIAN JOURNAL OF AGRICULTURAL ECONOMICS (ECONOMICS AND AGRICULTURE JOURNAL), 4(2), 149-163. SID. https://sid.ir/paper/124389/en

Vancouver: Copy

KARBASI A.R., ZIAEE S., ABDOSHAHI A.. DETERMINING FACTORS AFFECTING WHEAT INSURANCE DEMAND: THE COMPARISON OF CLASSICAL AND BAYES ECONOMETRIC APPROACHES. AGRICULTURAL ECONOMICS: IRANIAN JOURNAL OF AGRICULTURAL ECONOMICS (ECONOMICS AND AGRICULTURE JOURNAL)[Internet]. 2010;4(2):149-163. Available from: https://sid.ir/paper/124389/en

IEEE: Copy

A.R. KARBASI, S. ZIAEE, and A. ABDOSHAHI, “DETERMINING FACTORS AFFECTING WHEAT INSURANCE DEMAND: THE COMPARISON OF CLASSICAL AND BAYES ECONOMETRIC APPROACHES,” AGRICULTURAL ECONOMICS: IRANIAN JOURNAL OF AGRICULTURAL ECONOMICS (ECONOMICS AND AGRICULTURE JOURNAL), vol. 4, no. 2, pp. 149–163, 2010, [Online]. Available: https://sid.ir/paper/124389/en

Related Journal Papers