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We study the robustness of block resampling procedures for time series. We first derive a set of formulas to characterize their quantile breakdown point. For the moving block bootstrap and the subsampling, we find a very low quantile breakdown point. A similar robustness problem arises in...
Persistent link: https://www.econbiz.de/10003971115
The paper explores the effect of measurement errors on the estimation of a linear panel data model. The conventional fixed effects estimator, which ignores measurement errors, is biased. By correcting for the bias one can construct consistent and asymptotically normal estimators. In addition, we...
Persistent link: https://www.econbiz.de/10003824983
This paper considers an empirical likelihood method to estimate the parameters of the quantile regression (QR) models and to construct confidence regions that are accurate in finite samples. To achieve the higher-order refinements, we smooth the estimating equations for the empirical likelihood....
Persistent link: https://www.econbiz.de/10014072593
Following Lancaster (2002), we propose a strategy to solve the incidental parameter problem. The method is demonstrated under a simple panel Poisson count model. We also extend the strategy to accomodate cases when information orthogonality is unavailable, such as the linear AR(p) panel model....
Persistent link: https://www.econbiz.de/10003817215
Following Lancaster (2002), we propose a strategy to solve the incidental parameter problem. The method is demonstrated under a simple panel Poisson count model. We also extend the strategy to accomodate cases when information orthogonality is unavailable, such as the linear AR(p) panel model....
Persistent link: https://www.econbiz.de/10010288792
Many meta-regression analyses that synthesize estimates from primary studies have now been published in economics. Meta-regression models attempt to infer the presence of genuine empirical effects even if the authors of primary studies select statistically significant and theory-confirming...
Persistent link: https://www.econbiz.de/10011408185
This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data … important determinants of participation, while race is much less important. -- Initial conditions ; missing data ; simulation …
Persistent link: https://www.econbiz.de/10003824296
This paper illustrates how measurement error (“ME”) in dependent variables not only reduces power but, under common conditions in accounting and finance studies, can lead to statistical biases and erroneous inferences. These confounds exist because ME in accounting-based proxies is typically...
Persistent link: https://www.econbiz.de/10012869187
'. Through Monte Carlo simulation, closely calibrated on the typical conditions found among 6,700 economics research papers, we …
Persistent link: https://www.econbiz.de/10012034162
distribution is normal under the null hypothesis, and a consistent bootstrap is available to get simulation based critical values …
Persistent link: https://www.econbiz.de/10003550675