## Abstract Within the semiparametric framework introduced by Pendakur (1999) we introduce a new loss function to estimate equivalence scales. This loss function uses all available information from the total expenditures of both the reference and nonreference households and as such it produces more
Semiparametric estimation of lifetime equivalence scales
✍ Scribed by Professor Krishna Pendakur
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 224 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0883-7252
- DOI
- 10.1002/jae.768
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Pashardes (1991) and Banks et al. (1994) use parametric methods to estimate lifetime equivalence scales. Their approaches put parametric restrictions on the differences in within‐period expenditure needs across household types, the intertemporal allocation of expenditure, and the shapes of commodity demand equations. This paper puts parametric structure only on the differences in within‐period expenditure needs across household types. This implies structure on the intertemporal allocation of expenditure, but leaves the shapes of commodity demand equations unrestricted. Semiparametric methods are used to estimate within‐period and lifetime equivalence scales with Canadian expenditure data, and to test the restrictions imposed on within‐period expenditure functions. Estimated lifetime equivalence scales are similar in size to those estimated by Banks et al. (1994) and exhibit equal lifetime costs for first and second children. Copyright © 2005 John Wiley & Sons, Ltd.
📜 SIMILAR VOLUMES
## Abstract Consumption‐based equivalence scales are estimated by applying the extended partially linear model (EPLM) to the 1998 German Income and Consumption Survey (EVS). In this model the equivalence scales are identified from nonlinearities in household demand. The econometric framework should
In Giraitis, Robinson, and Samarov (1997), we have shown that the optimal rate for memory parameter estimators in semiparametric long memory models with degree of ``local smoothness'' ; is n &r( ;) , r( ;)=;Â(2;+1), and that a logperiodogram regression estimator (a modified Geweke and Porter-Hudak (
Previous work on the preferred specification of hedonic price models usually recommended a Box-Cox model. In this paper we note that any parametric model involves implicit restrictions and they can be reduced by using a semiparametric model. We estimate a benchmark parametric model which passes seve
Labour female participation models have been usually studied through probit and logit specifications. Little attention has been paid to verify the assumptions that are used in this sort of models, basically distributional assumptions and homoskedasticity. This paper estimates a binary response model