Comparison of the Application of Econometric Methods in Economic Valuation Library Services

Subject Areas : Journal of Knowledge Studies

vida  seifouri ¹ (Department of Information Science, Razi University.)
fahimeh  Babalhavaeji ² (Associate Professor, Department of Library and Information Science, science and research branch, Islamic Azad University, Tehran, Iran.)
Fatemeh  Nooshinfard ³ (Associate Professor, Knowledge and Information Science, Department of Knowledge and Information Science, Science and Research Branch, Islamic Azad University, Tehran)
Dariush  Matlabi ⁴ (Assistant Professor, Faculty of Humanities, Islamic Azad University, Yadegar Imam Branch,Shahr-e-Rey)

Received: 2018-06-03 Accepted : 2018-10-17 Published : 2019-05-22

Keywords: Willingness to pay, Library services, Central libraries, Economic valuation, econometrics,

Abstract :

Objective: To compare the application of econometric methods in the economic valuation of central library services. Methods: Conditional valuation with the stated priority technique and econometric methods such as linear regression, logistics, probit, and Hackman have been used. The statistical population of central library users, which was selected using the sampling method, cluster, two-stage, 10 libraries, and the sample size was calculated using the Michelle-Carson formula at the level of 85% of 854 people. The data collection tool was a two-dimensional researcher-made questionnaire with 40 questions that had face validity and reliability with Cronbach's alpha of 0.83. Results: In examining the effectiveness of each variable, the amount of change in the predicted probabilities of the dependent variable of the model (willingness to pay users) per unit of change in the variable (while the other variables are constant) showed that between the explanatory variables There is no correlation used in the models so that the two-to-two correlation coefficient of any of the independent variables was not more than 54%. Conclusion: Demographic and individual factors are more effective than other factors on people's willingness to pay. Based on the weighted elasticity of the income variable, if other factors are constant, a 1% increase in respondents' income increases the probability of accepting the proposed amount by more than 70%. No significant difference was observed in the results of logit and linear probit methods. Hackmann's two-step method, although it can differentiate between the factors affecting the acceptance of willingness to pay and the factors affecting the amount, in general, the willingness to pay was less than the other two methods.

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