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The Bias of the Gini Coefficient due to Grouping
Ourti, Tom Van; Clarke, Philip - 2008
We propose a first order bias correction term for the Gini index to reduce the bias due to grouping. The first order … reveals an intuitive formula for the remaining second order bias which is useful in empirical analyses. We analyze the … it reduces a considerable share of the bias due to grouping. …
Persistent link: https://www.econbiz.de/10010325812
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The Bias of the Gini Coefficient Due to Grouping : Revisiting First-Order Corrections
Van Ourti, Tom - 2008
We propose a first order bias correction term for the Gini index to reduce the bias due to grouping. The first order … reveals an intuitive formula for the remaining second order bias which is useful in empirical analyses. We analyze the … it reduces a considerable share of the bias due to grouping …
Persistent link: https://www.econbiz.de/10012722922
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Measurement Error in Education and Growth Regressions
Portela, Miguel; Alessie, Rob; Teulings, Coen N. - 2004
the measurement error. The standard attenuation bias suggests that using these corrected data would lead to a higher …
Persistent link: https://www.econbiz.de/10010325186
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Resolving spurious regressions and serially correlated errors
Agiakloglou, Christos N. - In: Empirical economics : a journal of the Institute for … 45 (2013) 3, pp. 1361-1366
Persistent link: https://www.econbiz.de/10010222386
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Asymmetries in Conditional Mean and Variance: Modelling Stock Returns by asMA-asQGARCH
Brännäs, Kurt; de Gooijer, Jan G. - 2000
variancefunctions. In a genuine out-of-sample forecasting experiment theperformance of the best fitted asMA-asQGARCH model is compared …
Persistent link: https://www.econbiz.de/10010324389
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Combined Forecasts from Linear and Nonlinear Time Series Models
Terui, N.; van Dijk, Herman K. - 2000
Combined forecasts from a linear and a nonlinear model areinvestigated for timeseries with possibly nonlinear characteristics. The forecasts arecombined by aconstant coefficient regression method as well as a time varyingmethod. Thetime varying method allows for a locally (non)linear model....
Persistent link: https://www.econbiz.de/10010324396
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The Monetary Exchange Rate Model as a Long-Run Phenomenon
Groen, Jan J.J. - 1998
Pure time series-based tests fail to find empirical support formonetary exchange rate models. In this paper we apply pooled timeseries estimation on a forward-looking monetary model, resulting inparameter estimates which are in compliance with the underlyingtheory. Based on a panel version of...
Persistent link: https://www.econbiz.de/10010324410
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Testing for Integration using Evolving Trend and Seasonals Models: A Bayesian Approach
Koop, Gary; van Dijk, Herman K.; Hoek, Henk - 1997
In this paper, we make use of state space models to investigate the presence of stochastic trends in economic time series. A model is specified where such a trend can enter either in the autoregressive representation or in a separate state equation. Tests based on the former are analogous to...
Persistent link: https://www.econbiz.de/10010324436
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Modelling Economic High-Frequency Time Series
Lundbergh, Stefan; Teräsvirta, Timo - 1999
In this paper we introduce the STAR-STGARCH model that can characterizenonlinear behaviour both in the conditional mean and the conditionalvariance. A modelling cycle for this family of models, consisting ofspecification, estimation, and evaluation stages is constructed.Misspecification tests...
Persistent link: https://www.econbiz.de/10010324484
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Profit Shifting and Productivity Mismeasurement
Bartelsman, Eric J.; Beetsma, Roel - 2000
This note identifies profit shifting in response to cross-countrydifferences in corporate tax rates as a source of productivitymismeasurement. To quantify the magnitude of mismeasurement, theprofit-shifting effect is isolated from other possible effects ofcorporatetax rates changes on real...
Persistent link: https://www.econbiz.de/10010324505