Measurement errors can have dramatic impact on the outcome of empirical analysis. In this article we quantify the eects that they can have on predictions generated from ARMA processes. Lower and upper bounds are derived for dierences in minimum mean squared prediction errors (MMSE) for forecasts gen
Assessing the effects of measurement errors on the estimation of production functions
β Scribed by Carmine Ornaghi
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 125 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0883-7252
- DOI
- 10.1002/jae.887
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
This article explores to what extent the poor results that are often found when estimating parameters of production functions can be attributed to measurement errors, due to the use of common price deflators across firms. Because of the lack of detailed microβeconomic data, econometricians have to rely on industryβwide deflators when computing outputs and intermediate inputs. A unique feature of the longitudinal data used in this paper is that it reports firmβlevel prices. This allows for a comparative assessment of production function parameters where the outputs and intermediate inputs are computed using both firmβspecific prices and industryβwide deflators. The empirical results presented in this paper show that the use of common deflators across firms leads to lower scale estimates, mainly because of a large downward bias in the estimated coefficients for labour. Copyright Β© 2006 John Wiley & Sons, Ltd.
π SIMILAR VOLUMES
This article discusses convergence problems when calculating Vega (option sensitivity to volatility) that arise from discretization errors embedded in the lattice approach. Four alternative improvements to the traditional binomial method are discussed and investigated for performance. We also propos
This paper considers the nonparametric estimation of the densities of the latent variable and the error term in the standard measurement error model when two or more measurements are available. Using an identification result due to Kotlarski we propose a two-step nonparametric procedure for estimati
## Abstract Using data from a survey of 800 managers in 12 industries, we find empirical support for the hypothesis that the cost associated with missed work varies across jobs according to the ease with which a manager can find a perfect replacement for the absent worker, the extent to which the w
I n this study, 16 experienced oncologists each measured 12 simulated tumor masses employing their usual clinical methods. Unknown to the oncologists, two pairs of these tumors were identical in size. This permitted a total of 64 measurement comparisons of the same investigator measuring the same si