2018
DOI: 10.3368/le.94.2.259
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Measuring the Income Elasticity of Water Demand: The Importance of Publication and Endogeneity Biases

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

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Cited by 40 publications
(29 citation statements)
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“…We collect point estimates and standard errors from the studies that satisfy the criteria described above to test for the selective reporting bias. Many authors recognize this bias as a serious issue in economics research (Ashenfelter and Greenstone, 2004;Stanley, 2005;Havranek, 2015;Havranek and Kokes, 2015;Havranek et al, 2018aHavranek et al, , 2018bHavranek et al, , 2018c that arises from researchers' tendency to primarily report the estimates that display the sign predicted by the theory and consistent with prior studies, along with those that are statistically significant.…”
Section: Methodsmentioning
confidence: 99%
“…We collect point estimates and standard errors from the studies that satisfy the criteria described above to test for the selective reporting bias. Many authors recognize this bias as a serious issue in economics research (Ashenfelter and Greenstone, 2004;Stanley, 2005;Havranek, 2015;Havranek and Kokes, 2015;Havranek et al, 2018aHavranek et al, , 2018bHavranek et al, , 2018c that arises from researchers' tendency to primarily report the estimates that display the sign predicted by the theory and consistent with prior studies, along with those that are statistically significant.…”
Section: Methodsmentioning
confidence: 99%
“…Table reports the results of . In panel A, we present four different specifications applied to the unweighted sample: simple OLS, an instrumental variable specification in which the instrument for the standard error is the inverse of the square root of the number of observations (as in, for example, Stanley, ; Havranek, Irsova and Vlach, ); OLS, in which the standard error is replaced by the aforementioned instrument (as in Havranek, ); and study‐level between‐effect estimation . In panel B, we weight all estimates by their precision, which assigns greater importance to more precise results and directly corrects for heteroscedasticity (Stanley and Jarrell, ), and furthermore, we weight all estimates by the inverse of the number of observations per study, which treats small and large studies equally.…”
Section: Publication Biasmentioning
confidence: 99%
“…2 Furthermore, we use conditional variances and covariances estimated from the DCC model to compute hedge ratios and portfolio weights of individual currencies in an optimal portfolio. Our results may help foreign investors recognize whether new EU countries should be treated as whole or whether it is preferential to select assets individually from each country to improve portfolio diversification.…”
Section: Introduction Motivation and Related Literaturementioning
confidence: 99%