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Econometric welfare evaluation of re...
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Park, Hoanjae.
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Econometric welfare evaluation of regulatory fishing restrictions: A synthetic inverse demand system approach.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Econometric welfare evaluation of regulatory fishing restrictions: A synthetic inverse demand system approach./
Author:
Park, Hoanjae.
Description:
188 p.
Notes:
Source: Dissertation Abstracts International, Volume: 57-04, Section: A, page: 1757.
Contained By:
Dissertation Abstracts International57-04A.
Subject:
Economics, General. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9627648
Econometric welfare evaluation of regulatory fishing restrictions: A synthetic inverse demand system approach.
Park, Hoanjae.
Econometric welfare evaluation of regulatory fishing restrictions: A synthetic inverse demand system approach.
- 188 p.
Source: Dissertation Abstracts International, Volume: 57-04, Section: A, page: 1757.
Thesis (Ph.D.)--North Carolina State University, 1996.
Empirical analysis of consumer behavior has always held a central position in econometrics. The theory of consumer behavior also has been central in economic analysis. One of the reasons is that the results and formulae of welfare economics depend for their implementation on the results of empirical demand analysis, particularly on estimates of substitution responses. For an example and as a motive for this study, regional and national policy-makers who face diminishing fish stocks (for example the Grouper and Snapper complex in the Southeast region) care about changes in consumer welfare from catch restrictions on individual species. To study the welfare effects, we need to analyze consumer behavior, either by the ordinary demand approach or by the inverse demand approach. This dissertation takes the latter approach, since it is equally appropriate in a market demand analysis and has some advantage over the ordinary demand approach, when quantities are predetermined at the market level.Subjects--Topical Terms:
1017424
Economics, General.
Econometric welfare evaluation of regulatory fishing restrictions: A synthetic inverse demand system approach.
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Source: Dissertation Abstracts International, Volume: 57-04, Section: A, page: 1757.
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Chair: Walter N. Thurman.
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Thesis (Ph.D.)--North Carolina State University, 1996.
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Empirical analysis of consumer behavior has always held a central position in econometrics. The theory of consumer behavior also has been central in economic analysis. One of the reasons is that the results and formulae of welfare economics depend for their implementation on the results of empirical demand analysis, particularly on estimates of substitution responses. For an example and as a motive for this study, regional and national policy-makers who face diminishing fish stocks (for example the Grouper and Snapper complex in the Southeast region) care about changes in consumer welfare from catch restrictions on individual species. To study the welfare effects, we need to analyze consumer behavior, either by the ordinary demand approach or by the inverse demand approach. This dissertation takes the latter approach, since it is equally appropriate in a market demand analysis and has some advantage over the ordinary demand approach, when quantities are predetermined at the market level.
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This dissertation first develops an integrated inverse demand system called the synthetic inverse demand system (SIDS) extending Barten's (1993) ordinary demand approach into the inverse demand approach. It further extends the static SIDS system dynamically by incorporating habit formation. The current study suggests four possible SIDS systems and selects the system according to the average information inaccuracy criterion. Then the study proposes and applies some tools of welfare measurement appropriate for the inverse demand approach. In addition, this dissertation tackles aggregation problems since, for fish, one may hesitate to accept the species as the relevant economic commodity.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9627648
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