Semiparametric Estimation of the Binary Choice Model for Contingent Valuation PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Semiparametric Estimation of the Binary Choice Model for Contingent Valuation PDF full book. Access full book title Semiparametric Estimation of the Binary Choice Model for Contingent Valuation by Chuan-Zhong Li. Download full books in PDF and EPUB format.
Author: Chuan-Zhong Li
Publisher:
ISBN:
Category :
Languages : en
Pages : 19
Get Book Here
Book Description
Author: Chuan-Zhong Li
Publisher:
ISBN:
Category :
Languages : en
Pages : 19
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Kazumitsu Nawata
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Fu Ouyang
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Margarida Genius
Publisher:
ISBN:
Category :
Languages : en
Pages : 121
Get Book Here
Book Description
Author: Kazumitsu Nawata
Publisher:
ISBN:
Category :
Languages : en
Pages : 26
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Semiparametric estimation of monotonic single index models is studied. In this class of models, the unknown components are a monotonic link function along with finite-dimensional parameters including the coefficient of the single index. The proposed method optimizes objective functionals with respect to both finite and infinite dimensional parameters. In the first chapter, proofs of consistency, rates of convergence, asymptotic normality and semiparametric efficiency are offered. The main result is applied to the semiparametric Least Squares (LS) estimation, semiparametric Least Absolute Deviation (LAD) estimation, and the semiparametric Maximum Likelihood (ML) estimation for various types of single index models. The second chapter focuses on an iteration-based method proposed by Wang and Zhou (1995) for the standard binary choice model. The algorithm is kernel free, very fast and easy-to-implement. The estimator is consistent and nearly efficient. These desirable large sample properties of the estimator, however, have not been rigorously proven so far. In this chapter, a set of sufficient conditions for consistency and asymptotic normality of the WZ estimator will be given. In the third chapter, the estimation methods developed in the previous two chapters are applied to dichotomous choice contingent valuation, which has been one of the most popular methods to estimate Willingness-To-Pay (WTP) for non-market goods, such as environmental resources. The proposed method is a two-step estimatior. In the first step, the underlying binary response model is estimated by the method studied in the previous chapters. In the second step, the distribution of the WTP is computed based on the first estimates. Consistency, asymptotic normality, and semiparametric efficiency of the estimator are studied.
Author: Kazumitsu Nawata
Publisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 66
Get Book Here
Book Description
Author: Richard C. Bishop
Publisher: Springer Science & Business Media
ISBN: 9780792381433
Category : Business & Economics
Languages : en
Pages : 312
Get Book Here
Book Description
Economic values are increasingly used in policy analysis and legal settings. With the growing recognition that many of the things that benefit or harm people are outside the market system, have come increasing efforts to develop nonmarket valuation techniques. One such technique is the contingent valuation method (CVM). CVM seeks to value environmental and other nonmarket goods and services by asking individuals about their values using survey methods. These procedures are different from the `revealed-preference' methods that economists have historically employed to estimate economic values. Why depart from well-established revealed-preference procedures and apply a `stated-preference' method like CVM? For nonmarket goods and services, revealed-preference methods have two shortcomings that those applying CVM hope to avoid. First, revealed-preference methods involve econometric problems that have yet to be fully overcome. The second shortcoming of revealed-preference methods is that such methods, when applied to environmental amenities, are likely to be only partial measures of value. Given the tremendous interest that exists in economic values and the limitations of revealed-preference methods, it is not surprising that interest in CVM has grown rapidly. Environmental Resource Valuation reviews the application of CVM and compares American experiences in nonmarket evaluation with those in other countries.
Author: Patricia A. Champ
Publisher: Springer
ISBN: 9781402014451
Category : Business & Economics
Languages : en
Pages : 576
Get Book Here
Book Description
A Primer on Nonmarket Valuation is unique in its clear descriptions of the most commonly used nonmarket valuation techniques and their implementation. Individuals working for government agencies, attorneys involved with natural resource damage assessments, graduate students, and others will appreciate the non-technical and practical tone of this book. The first section of the book provides the context and theoretical foundation of nonmarket valuation, along with practical data issues. The middle two sections of the Primer describe the major stated and revealed nonmarket valuation techniques. For each technique, the steps involved in implementation are laid out and described. Both practitioners of nonmarket valuation and those who are new to the field will come away from these methods chapters with a thorough understanding of how to design, implement, and analyze a nonmarket valuation study. The concluding section takes stock of the usefulness of nonmarket valuation, highlighting chapters on benefit transfer, the role of nonmarket valuation in real decisions about natural resources, and where nonmarket valuation is headed in the future. As a companion to A Primer on Nonmarket Valuation, a website has been developed, http://www.fs.fed.us/nonmarketprimerdata/. This website includes downloadable datasets for each of the techniques described in the Primer, as well as links to published journal articles and reports based on the data. The website also provides an opportunity for students to estimate models using the data.
