9780521131001 - analysis of panels and limited dependent variable models von hsiao, cheng (6 Ergebnisse)
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paperback. Zustand: Very Good. Analysis of Panels and Limited Dependent Variable Models This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and… looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
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Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Zustand: New. A collection in honour of G. S. Maddala, bringing together leading econometricians to discuss important advances in econometrics. Editor(s): Hsiao, Cheng; Pesaran, M. Hashem; Lahiri, Kajal; Lee, Lung Fei. Num Pages: 352 pages, 15 tables. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 2…29 x 152 x 20. Weight in Grams: 520. . 2010. 1st Edition. paperback. . . . . Books ship from the US and Ireland.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This important collection brings together leading econometricians to discuss advances in the areas of the econometrics of panel data. The papers in this collection can be grouped into two categories. The first, which includes chapters by Amemiya, Bal…tagi, Arellano, Bover and Labeaga, primarily deal with different aspects of limited dependent variables and sample selectivity. The second group of papers, including those by Nerlove, Schmidt and Ahn, Kiviet, Davies and Lahiri, consider issues that arise in the estimation of dyanamic (possibly) heterogeneous panel data models. Overall, the contributors focus on the issues of simplifying complex real-world phenomena into easily generalisable inferences from individual outcomes. As the contributions of G. S. Maddala in the fields of limited dependent variables and panel data were particularly influential, it is a fitting tribute that this volume is dedicated to him.
