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Titlebook: Econometric Analysis of Count Data; Rainer Winkelmann Book 19972nd edition Springer-Verlag Berlin Heidelberg 1997 Conditional Distribution

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書目名稱Econometric Analysis of Count Data
編輯Rainer Winkelmann
視頻videohttp://file.papertrans.cn/302/301432/301432.mp4
圖書封面Titlebook: Econometric Analysis of Count Data;  Rainer Winkelmann Book 19972nd edition Springer-Verlag Berlin Heidelberg 1997 Conditional Distribution
描述This monograph deals with econometric models for the analysis of event counts. The interest of econometricians in this class of models has started in the mid-eighties. After more than one decade of intensive research, the litera- ture has reached a level of maturity that calls for a systematic and accessible exposition of the main results and methods. Such an exposition is the aim of the book. Count data models have found their way into the curricula of micro-econometric classes and are available on standard computer software. The basic methods have been used in countless applications in fields such as labor economics, health economics, insurance economics, urban economics, and economic demography, to name but a few. Other, more recent, methods are poised to become standard tools soon. While the book is oriented towards the empirical economists and applied econometrician, it should be useful to statisticians and biometricians as well. A first edition of this book was published in 1994 under the title "Count Data Models - Econometric Theory and an Application to Labor Mobility" . While this edition keeps the character and broad organization of this first edition, and its emphasis on
出版日期Book 19972nd edition
關(guān)鍵詞Conditional Distribution Models; Count Data; Count Variables; Econometric Modeling; calculus; econometric
版次2
doihttps://doi.org/10.1007/978-3-662-03465-1
isbn_ebook978-3-662-03465-1
copyrightSpringer-Verlag Berlin Heidelberg 1997
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https://doi.org/10.1007/978-81-322-2298-9t. ., by contrast, model .(.) for a given (and constant) .. By studying the relation between the underlying count process, the most prominent being the Poisson process, and the resulting probability models for event counts ., one can acquire a better understanding of the conditions under which the s
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Pratika Singh,Azmi Khan,Amrita Srivastavalpful in specifying and conceptualizing the kind of issues that are encountered by the econometric practitioner using count data. My central purpose is to contribute to the recent research in count data methodology, while concentrating on those aspects that are relevant to the empirically oriented s
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