Modeling zero response data from willingness to pay surveys: A semi-parametric estimation

Seung Hoon Yoo; Tai Yoo Kim; Jai Ki Lee

doi:10.1016/S0165-1765(01)00363-9

Modeling zero response data from willingness to pay surveys: A semi-parametric estimation

Seung Hoon Yoo, Tai Yoo Kim, Jai Ki Lee

Dept. of Future Energy Convergence

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

This paper models zero response data from willingness to pay surveys by employing parametric and semi-parametric estimation methods. The result of the specification test indicates the semi-parametric estimation outperforms the parametric estimation significantly.

Original language	English
Pages (from-to)	191-196
Number of pages	6
Journal	Economics Letters
Volume	71
Issue number	2
DOIs	https://doi.org/10.1016/S0165-1765(01)00363-9
State	Published - May 2001

Keywords

C24
Symmetrically trimmed least squares
Willingness to pay
Zero response

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title = "Modeling zero response data from willingness to pay surveys: A semi-parametric estimation",

abstract = "This paper models zero response data from willingness to pay surveys by employing parametric and semi-parametric estimation methods. The result of the specification test indicates the semi-parametric estimation outperforms the parametric estimation significantly.",

keywords = "C24, Symmetrically trimmed least squares, Willingness to pay, Zero response",

author = "Yoo, \{Seung Hoon\} and Kim, \{Tai Yoo\} and Lee, \{Jai Ki\}",

year = "2001",

month = may,

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AU - Yoo, Seung Hoon

AU - Kim, Tai Yoo

AU - Lee, Jai Ki

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Y1 - 2001/5

N2 - This paper models zero response data from willingness to pay surveys by employing parametric and semi-parametric estimation methods. The result of the specification test indicates the semi-parametric estimation outperforms the parametric estimation significantly.

AB - This paper models zero response data from willingness to pay surveys by employing parametric and semi-parametric estimation methods. The result of the specification test indicates the semi-parametric estimation outperforms the parametric estimation significantly.

KW - C24

KW - Symmetrically trimmed least squares

KW - Willingness to pay

KW - Zero response

UR - https://www.scopus.com/pages/publications/0041866700

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DO - 10.1016/S0165-1765(01)00363-9

M3 - Article

AN - SCOPUS:0041866700

SN - 0165-1765

VL - 71

SP - 191

EP - 196

JO - Economics Letters

JF - Economics Letters

IS - 2

ER -

Modeling zero response data from willingness to pay surveys: A semi-parametric estimation

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Keywords

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