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161.
Anne Leucht Jens‐Peter Kreiss Michael H. Neumann 《Scandinavian Journal of Statistics》2015,42(4):1167-1193
We provide a consistent specification test for generalized autoregressive conditional heteroscedastic (GARCH (1,1)) models based on a test statistic of Cramér‐von Mises type. Because the limit distribution of the test statistic under the null hypothesis depends on unknown quantities in a complicated manner, we propose a model‐based (semiparametric) bootstrap method to approximate critical values of the test and to verify its asymptotic validity. Finally, we illuminate the finite sample behaviour of the test by some simulations. 相似文献
162.
Jens Hogrefe 《AStA Advances in Statistical Analysis》2008,92(3):271-296
Releases of GDP data undergo a series of revisions over time. These revisions have an impact on the results of macroeconometric models documented by the growing literature on real-time data applications. Revisions of U.S. GDP data can be explained and are partly predictable according to Faust et al. (J. Money Credit Bank. 37(3):403–419, 2005) or Fixler and Grimm (J. Product. Anal. 25:213–229, 2006). This analysis proposes the inclusion of mixed frequency data for forecasting GDP revisions. Thereby, the information set available around the first data vintage can be better exploited than the pure quarterly data. In-sample and out-of-sample results suggest that forecasts of GDP revisions can be improved by using mixed frequency data. 相似文献
163.
ABSTRACT: High unemployment in Europe has led many economists to recommend labour market deregulation — the removal of obstacles to labour market flexibility. These “obstacles” include union power, employment protection legislation and income security arrangements. We argue that such worker rights promote productivity and real wage growse effects. Policy-makers should be aware of these positive effects on productivity and real wage growth when considering curtailing worker rights in order to reduce unemployment. 相似文献