2006
DOI: 10.1002/jae.888
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Semi‐parametric estimation of consumption‐based equivalence scales: the case of Germany

Abstract: Die Discussion Papers dienen einer möglichst schnellen Verbreitung von neueren Forschungsarbeiten des ZEW. Die Beiträge liegen in alleiniger Verantwortung der Autoren und stellen nicht notwendigerweise die Meinung des ZEW dar.Discussion Papers are intended to make results of ZEW research promptly available to other economists in order to encourage discussion and suggestions for revisions. The authors are solely responsible for the contents which do not necessarily represent the opinion of the ZEW.Download this… Show more

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Cited by 10 publications
(10 citation statements)
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“…While modifying the loss function according to Stengos et al (2006) leads to more plausible results, it is still the case that not all criteria are satisfied; e.g., the scale values are not strictly increasing with household size. Compared with the estimates reported by Stengos et al (2006) for Canada, our estimates are relatively low and are closer to the results of Wilke (2006) using the EVS of 1998. Equivalence scales reported by Wilke (2006) do not violate the household size effect (See Table 7).…”
Section: Equivalence Scale Estimatessupporting
confidence: 67%
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“…While modifying the loss function according to Stengos et al (2006) leads to more plausible results, it is still the case that not all criteria are satisfied; e.g., the scale values are not strictly increasing with household size. Compared with the estimates reported by Stengos et al (2006) for Canada, our estimates are relatively low and are closer to the results of Wilke (2006) using the EVS of 1998. Equivalence scales reported by Wilke (2006) do not violate the household size effect (See Table 7).…”
Section: Equivalence Scale Estimatessupporting
confidence: 67%
“…Compared with the estimates reported by Stengos et al (2006) for Canada, our estimates are relatively low and are closer to the results of Wilke (2006) using the EVS of 1998. Equivalence scales reported by Wilke (2006) do not violate the household size effect (See Table 7). A possible explanation for this finding, is that in contrast to Pendakur (1999), Stengos et al (2006), and our application; he used a model based on multiple expenditure categories.…”
Section: Equivalence Scale Estimatessupporting
confidence: 67%
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“…The most common method used by economists to compare household living standards in this process is to observe their expenditure patterns, knowing that poorer households tend to spend higher proportions of their income on food and other essentials (McClements, 1977;Banks and Johnson 1993;Wilke, 2006). To give a simplified example, if three-child families with income A are found on average to spend the same proportion on essentials as two-child families on a lower income, B, this is held to imply that the former families reach the same living standard despite their higher incomes, because of the extra child, so the cost of the third child is inferred to be A minus B.…”
Section: Equivalence Based Approachesmentioning
confidence: 99%
“…As pointed out by one of the referees, this assumption is rather strong for the commodity groups food in restaurants and entertainment when focusing on the comparison between childless couples and couples with children. However, the chosen approach is common in the literature (see, e.g., Pendakur, 1999;Wilke, 2006).…”
Section: Datamentioning
confidence: 99%