1,721,852 research outputs found

    Replication Data for: Capital and Labor: The Factor Income Composition of Top Incomes in the United States, 1962-2006

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    Atkinson, Anthony B., and Lakner, Christoph, (2021) “Capital and Labor: The Factor Income Composition of Top Incomes in the United States, 1962–2006.” Review of Economics and Statistics 103:5, 892–904

    Replication Data for: Capital and Labor: The Factor Income Composition of Top Incomes in the United States, 1962-2006

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    Atkinson, Anthony B., and Lakner, Christoph, (2021) “Capital and Labor: The Factor Income Composition of Top Incomes in the United States, 1962–2006.” Review of Economics and Statistics 103:5, 892–904

    Economic transformation in Eastern Europe and the distribution of income

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    Digitised version produced by the EUI Library and made available online in 2020

    Pauvreté et inclusion dans une perspective mondiale

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    Bourguignon François, Atkinson Anthony B. Pauvreté et inclusion dans une perspective mondiale. In: Revue d'économie du développement, 8e année N°1-2, 2000. Gouvernance, équité et marchés mondiaux. Sélection des Actes. Conférence ABCDE – Europe. Paris, 21-23 juin 1999. pp. 13-32

    Inequality and crises revisited

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    Abstract Recent debate has suggested that growing levels or high levels of inequality may be systematically associated with the occurrence of banking crises. Using the updated version of the Chartbook of Economic Inequality, this paper provides new empirical evidence on the 'level' hypothesis and reassesses the empirical validity of the 'growth' hypothesis. In line with previous work, the empirical analysis on the entire set of countries and years under investigation does not provide any conclusive and compelling statistical support to either of the hypotheses. However, the apparent statistical insignificance of the findings does not rule out the economic relevance of the question at hand, given that the hypotheses cannot be rejected for important crises and countries such as the US and the UK. Hence, the overall evidence is far from being conclusive and there are several reasons to shed further light on this important research topic

    The Box-Cox Transformation: Review and Extensions

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    The Box-Cox power transformation family for non-negative responses in linear models has a long and interesting history in both statistical practice and theory, which we describe. The relationship between generalized linear models and log transformed data is illustrated. Extensions investigated include the transform both sides model and the Yeo-Johnson transformation for observations that can be positive or negative. The paper also describes an extended Yeo-Johnson transformation that allows positive and negative responses to have different power transformations. Analyses of data show this to be necessary. Robustness enters in the fan plot for which the forward search provides an ordering of the data. Plausible transformations are checked with an extended fan plot. These procedures are used to compare parametric power transformations with nonparametric transformations produced by smoothing

    Some history leading to design criteria for Bayesian prediction

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    The chapters in this volume present the state of optimum experimental design at the beginning of the new millennium, with an emphasis on developing areas. The contributions range from theory to applications, starting with a glimpse back to the beginnings of optimum experimental design. Theoretical chapters cover the properties and methods of construction of designs. Applications include chapters on sequential design problems in the pharmaceutical industry and on the designs with discrete factors in agriculture. There are chapters on training neural networks, on the efficient selection of sampling methods, and on problems arising in glass making and in herbicide resistance of Brazilian weeds. The contributors, from a variety of countries, include many acknowledged experts whose work reflects the international spread of activity in the subject. Audience: Experimentalists as well as research workers and students in statistics will find much to interest them in these papers
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