In this paper a numerical solution for incompressible Stokes equations using moving least-squares interpolators is developed. This approach does not require an element discretization; just a cloud of points is necessary. This is very attractive for 3D problems and deformable domains. First, taking i
Econometrics of auctions by least squares
โ Scribed by Leonardo Rezende
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 188 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0883-7252
- DOI
- 10.1002/jae.1036
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โฆ Synopsis
Abstract
I investigate using the method of ordinary least squares (OLS) on auction data. I find that for parameterizations of the valuation distribution that are common in empirical practice, an adaptation of OLS provides unbiased estimators of structural parameters. Under symmetric independent private values, adapted OLS is a specialization of the method of moments strategy of Laffont, Ossard and Vuong (1995). In contrast to their estimator, here simulation is not required, leading to a computationally simpler procedure. The paper also discusses using estimation results for inference on the shape of the valuation distribution, and applicability outside the symmetric independent private values framework. Copyright ยฉ 2008 John Wiley & Sons, Ltd.
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