Results 41 to 50 of about 1,081 (135)
Are analysts' loss functions asymmetric? [PDF]
, 2005 Recent research by Gu and Wu (2003) and Basu and Markov (2004) suggests that the well-known optimism bias in analysts’ earnings forecasts is attributable to analysts minimizing symmetric, linear loss functions when the distribution of forecast errors is ...
Mark A. Clatworthy +5 more
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Bootstrap-Based Improvements for Inference with Clustered Errors [PDF]
Researchers have increasingly realized the need to account for within-group dependence in estimating standard errors of regression parameter estimates. The usual solution is to calculate cluster-robust standard errors that permit heteroskedasticity and ...
Douglas L. Miller +2 more
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A Short Prehistory of the Bootstrap [PDF]
, 2016 The contemporary development of bootstrap methods, from the time of Efron’s early articles to the present day, is well documented and widely appreciated.
Hall, Peter
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Computationally efficient approximation for the double bootstrap mean bias correction [PDF]
We propose a computationally efficient approximation for the double bootstrap bias adjustment factor without using the inner bootstrap loop. The approximation converges in probability to the population bias correction factor.
Rachida Ouysse
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Energy Substitutability in Canadian Manufacturing: Econometric Estimation with Bootstrap Confidence Intervals [PDF]
This study provides estimates of the price and Morishima substitution elasticities between energy and non-energy inputs in two Canadian energy-intensive manufacturing industries: Primary Metal and Cement.
Yazid Dissou, Reza Ghazal
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A parametric bootstrap for heavytailed distributions [PDF]
It is known that Efron's resampling bootstrap of the mean of random variables with common distribution in the domain of attraction of the stable laws with infinite variance is not consistent, in the sense that the limiting distribution of the bootstrap ...
Russell Davidson, Adriana Cornea
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Bootstraping econometric models [PDF]
The bootstrap is a statistical technique used more and more widely in econometrics. While it is capable of yielding very reliable inference, some precautions should be taken in order to ensure this.
Russell Davidson
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More efficient tests robust to heteroskedasticity of unknown form [PDF]
In the presence of heteroskedasticity of unknown form, the Ordinary Least Squares parameter estimator becomes inefficient and its covariance matrix estimator inconsistent.
Emmanuel Flachaire
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Resampling-based Variance Estimation for Labour Force Surveys
, 2007 Labour force surveys are conducted to estimate quantities such as the unemployment rate and the number of people in work. Interest is typically both in estimates at a given time and in changes between two successive time-points. Calibration of the sample
Canty, A. J. +3 more
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Testing for the martingale hypothesis in Asian stock prices: evidence from a new joint variance ratio test [PDF]
This paper tests for the martingale (or random walk) hypothesis in the stock prices of a group of Asian countries. The selected countries represent well-developed markets (Hong Kong and Japan) as well as emerging markets (Korea, Taiwan and Thailand ...
Jae H. Kim
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