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2010
DOI: 10.1016/j.econmod.2010.01.021
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A panel cointegration approach to estimating substitution elasticities in consumption

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Cited by 26 publications
(17 citation statements)
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“…Bean () argues that “not all public spending is of the hole‐in‐the‐ground variety; spending on services such as health and education and on the police force is a substitute for private expenditure.” Although this statement suggests that private and public consumption may not be separable, many studies include government spending in an addilog utility function as introduced in Equation . Examples are Auteri and Constantini (), Ho (), and Nieh and Ho () who estimate values of the EIS in private consumption below 0.45, between 1.25 and 7.5 (depending on different subsamples, see Section ), and around 0.8.…”
Section: Consumers' Preferences and The Eismentioning
confidence: 99%
“…Bean () argues that “not all public spending is of the hole‐in‐the‐ground variety; spending on services such as health and education and on the police force is a substitute for private expenditure.” Although this statement suggests that private and public consumption may not be separable, many studies include government spending in an addilog utility function as introduced in Equation . Examples are Auteri and Constantini (), Ho (), and Nieh and Ho () who estimate values of the EIS in private consumption below 0.45, between 1.25 and 7.5 (depending on different subsamples, see Section ), and around 0.8.…”
Section: Consumers' Preferences and The Eismentioning
confidence: 99%
“…Following Auteri and Costantini (), we also compute residual cross‐correlations of the consumption equation. They have an average of 0.49 and range between 0.02 and 0.84, dictating the correction for cross‐sectional dependence.…”
Section: Resultsmentioning
confidence: 99%
“…The reliance on this set of countries makes such an approach powerful in light of the similarity of households' preferences, as revealed by their long‐run elasticities of consumption with respect to asset wealth and labor income, and implied asset and human wealth shares (Afonso & Sousa, ). In fact, an important attraction of panel data is the ability to pool long‐run information about cointegration parameters (Auteri & Costantini, ). When estimating cay, our paper uses panel cointegration techniques that assume cross‐sectional dependence through factor models that capture common drivers to which euro area countries are exposed.…”
Section: Introductionmentioning
confidence: 99%
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“…The main advantage of this approach corresponds to the fact that it is not necessary to know the order of integration of the constituent variables. The presence of cross-sectional dependence is modelled by a factor model in which the residuals are obtained by common unobservable factors across the constituent countries (Auteri & Costantini, 2010).…”
Section: Resultsmentioning
confidence: 99%