A statistical method of multi-market welfare analysis applied to Japanese beef policy liberalization

Jeong, Kyeong Soo; Garcia, Philip; Bullock, David S.

doi:10.1016/s0161-8938(03)00015-2

Cited by 11 publications

(12 citation statements)

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“…Computer-intensive methods have been introduced in the agricultural economics literature to obtain a fuller picture of the statistical properties of welfare measurements based either on bootstrapping (Efron, 1979;Freedman and Peters, 1984;Dorfman et al, 1990;Kling and Sexton, 1990), Monte Carlo simulations (Krinsky and Robb, 1986, 1990Addmowicz et al, 1989Addmowicz et al, , 1991 or Bayesian inference . '3 Recent applications of these methods in the field of agricultural policy analysis include Tremblay and Tremblay (1995), von Cramon-Taubadel (I 997), Jeong et al (1999), Jeong et al (2003) (bootstrapping), Alston et al ( , 2000 (Monte Carlo simulation), Davis andEspinoza (1998, 2000), Griffiths and Zhao (2000), Zhao et al (2000), Salhofer et al (2001) and Sinabell et al (1999) (Bayesian inference).…”

Section: Discussionmentioning

confidence: 99%

“…The traditional approach to get statistical welfare measures are linear approximations based on Taylor series expansion (Kealy and Bishop, 1986;Bockstael and Strand, 1986). distinguishing between agricultural production and processing, are Mullen et al (1989), Maier (1993a), Alston et al (1 997) and Jeong et al (2003). Examples of horizontal disaggregation, e.g.…”

Section: Discussionmentioning

confidence: 99%

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Judging agricultural policies: a survey

Bullock

Salhofer

2003

Agricultural Economics

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This survey provides a structured picture of 40 years of literature which uses welfare economic tools to judge agricultural policy. Challenges and developments of normative agricultural policy analysis are discussed in an easily accessible graphical framework. It is shown how the literature has gone from examining a very small discrete set of simple policies to a much broader (often continuous) set of policies that combine policy instruments simultaneously. The importance of the Pareto criterion, used to explore the limits of how government can affect welfare, is revealed. Moreover, given the importance of the objective of income redistribution in agricultural policy, agricultural economists have often departed from the purely efficiency-oriented tradition in economics. It is shown that they have tried to incorporate equity considerations by either adding these criteria as constraints to the social welfare function, or directly incorporating these criteria in the functional form of the social welfare function.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Judging agricultural policies: a survey

Bullock

Salhofer

2003

Agricultural Economics

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“…Each model was bootstrapped 1,000 times, while drawing with replacement and a distribution of the annual welfare effects was obtained. The importance of this procedure has been stressed by Kling and Sexton (1990), Jeong et al (2003), Katranidis et al (2005).…”

Section: Single-market Approachmentioning

confidence: 99%

Single Versus Multi-market Approach: An Application to the Greek Cotton Market

Dadakas

Katranidis

2008

Atl Econ J

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“…Some of the methods include the partial equilibrium model [13], the multivariate ordinary least squares [23], the cost-benefit adjusted gross domestic product (CBAGDP) social welfare function [17], the random expenditure function approach [16], the bootstrap methodology [36], the cost-benefit analysis and life satisfaction approach [58], the behavioral microsimulation modeling method [18] and the fuzzy states process [42].…”

Section: Introductionmentioning

confidence: 99%