2004
DOI: 10.2139/ssrn.569110
|View full text |Cite
|
Sign up to set email alerts
|

A Meta-Analysis of the Willingness to Pay for Reductions in Pesticide Risk Exposure

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
8
0

Year Published

2006
2006
2020
2020

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 7 publications
(8 citation statements)
references
References 77 publications
(51 reference statements)
0
8
0
Order By: Relevance
“…The nonexperimental setting of meta-analysis introduces specific methodological challenges because the meta-analysis is intrinsically heteroskedastic: the effect-sizes originate from studies with differing numbers of observations, which results in different estimated standard errors (Travisi et al 2004). The true data-generating process is often unknown, which leads to a mix of correct and erroneous effect-size measures, and the varying sets of control variables across the studies induce omitted variable bias and (or) multicollinearity in at least a subset of the available primary studies (Koetse et al 2005).…”
Section: Methods: Meta-regression Analysismentioning
confidence: 99%
“…The nonexperimental setting of meta-analysis introduces specific methodological challenges because the meta-analysis is intrinsically heteroskedastic: the effect-sizes originate from studies with differing numbers of observations, which results in different estimated standard errors (Travisi et al 2004). The true data-generating process is often unknown, which leads to a mix of correct and erroneous effect-size measures, and the varying sets of control variables across the studies induce omitted variable bias and (or) multicollinearity in at least a subset of the available primary studies (Koetse et al 2005).…”
Section: Methods: Meta-regression Analysismentioning
confidence: 99%
“…Meta-analysis has now become a widely accepted research tool, encompassing a range of procedures used in a variety of disciplines, such as medicine, nursing, psychology, labor economics, environmental science, and transportation science (Gaarder 2002;Yu 2002;Greenaway, Milne et al 2004;Travisi, Florax et al 2004). The wide employment of metaanalysis is partially because that it is an integration which is more than the sum of parts in that it offers novel interpretations of findings .…”
Section: Methodology Of Meta-analysismentioning
confidence: 99%
“…A variety of Meta-analysis methods has long been used in research field of laboratory medicine, clinical medicine and behavioral science. There are also applications in experimental or quasi-experimental studies in the economic environment (Travisi, Florax et al 2004). For example, a New Zealand government-funded research built a framework for future implementation of very effective guidelines drawn from the Meta-analysis of 10 government aided community projects (Greenaway, Milne et al 2004).…”
Section: Tests Of Homogeneitymentioning
confidence: 99%
See 1 more Smart Citation
“…Meta-analysis has now become a widely accepted research tool, encompassing a range of procedures used in a variety of disciplines, such as medicine, nursing, psychology, labor economics, environmental science, and transportation science (Gaarder 2002;Yu 2002;Greenaway et al 2004;Travisi et al 2004). …”
Section: Methodology Of Meta-analysismentioning
confidence: 99%