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In: Discussion paper / Series 1, Studies of the Economic Research Centre / Deutsche Bundesbank, 2004,2
World Affairs Online
In: African social research 49/50.2001/02
In: Poverty reduction strategies for Zambia Pt. 2
In: Schriftenreihe der Europäischen Akademie Bozen, Bereich "Ethnische Minderheiten und Regionale Autonomien" Bd. 6
In: EUR.AC research
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In: Discussion paper / Series 1, Studies of the Economic Research Centre / Deutsche Bundesbank, 2004,15
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In: Preprints of the Max Planck Institute for Research on Collective Goods 2004/1
In: Gender Research on Urbanisation, Planning, Housing and Everyday Life (GRUPHEL) Programme Phase III
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In: Discussion paper
In: Series 1, Studies of the Economic Research Centre No 03/16
In this paper, using the Monte Carlo (MC) method we propose an estimation and (at the same time) a test procedure for the stability parameter of α-stable distributions. One powerful advantage of the MC method is that it provides an exact significance level for finite samples, whose distribution can be far different from that of asymptotic samples on which the level of confidence interval for estimates is usually based. Statistical theory for the MC method is given. A simulation study compares the efficiency of our estimate with the Hill estimate (Hill, 1975). Construction of significance level based on the MC method is exploited and the corresponding power function is also studied. An empirical application demonstrates an easy implementation of our estimation and test procedure. It turns out that our estimate can improve the efficiency of any estimator for a in terms of mean square error.
In: Series work & society 30
In: SALTSA - a Joint Programme for Working Life Research in Europe
In: CSH Occasional Paper, 4/2002
In: A publication of the French Research Institutes in India
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In: CSH Occasional Paper, No. 6
In: A Publication of the French Research Institutes in India
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In: European Forest Institute Research Reports 13
In: Brill Book Archive Part 1, ISBN: 9789004472495
Most of the less-favoured regions in Europe feature large areas of forestland. The location of these areas - often far from political and economic centres, and in many cases in adverse climatic or terrain conditions - have been problematic for agriculture as well as for many other economic activities. Because of this unfavourable relationship between forest cover and the regional development opportunities of non-forest sectors, forest resources are an important factor for regional employment and income in many less-favoured regions. Higher utilization of existing wood and non-wood forest resources and services is expected to contribute to regional development by increasing the employment opportunities and welfare. The FORWARD (Forest Resources for Work Opportunities and Regional Development) project at the European Forest Institute was initiated to investigate the opportunities for rural areas to generate employment and income based on forest resources. The four-year study concentrated mainly on 11 case areas located in the border regions of Europe. In addition, analyses on the overall situation of the potential of forestry to contribute to regional development in Europe were conducted. The findings of the project are presented in this report
In: Working papers / Legal affairs series / European Parliament, Directorate-General for Research, 105 AXX
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In: Research Publications' American journey
In: The great depression and the new deal Teacher's guide
In: Research series / University of California at Berkeley, International and Area Studies no. 94
In: Research political economy
In: Supplement 1,A
In: Reagan, Bush, and right-wing politics A