Econometrics of Qualitative Dependent Variables
Zusammenfassung
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Econometrics of Qualitative Dependent Variables by Christian Gourieroux
This textbook introduces students progressively to various aspects of qualitative models and assumes a knowledge of basic principles of statistics and econometrics. Inferring qualitative characteristics of data on socioeconomic class, education, employment status, and the like - given their discrete nature - requires an entirely different set of tools from those applied to purely quantitative data. Written in accessible language and offering cogent examples, students are given valuable means to gauge real-world economic phenomena. After the introduction, early chapters present models with endogenous qualitative variables, examining dichotomous models, model specification, estimation methods, descriptive usage, and qualitative panel data. Professor Gourieroux also looks at Tobit models, in which the exogenous variable is sometimes qualitative and sometimes quantitative, and changing-regime models, in which the dependent variable is qualitative but expressed in quantitative terms. The final two chapters describe models which explain variables assumed by discrete or continuous positive variables.
"What is refreshing about this book is that each of the topics is first introduced in an intuitive manner, and then analyzed rigorously-a sytle that is very special to the authorThe book is a must for any serious student of econometrics and for all libraries." Mathematical Reviews
| SKU | Nicht verfügbar |
| ISBN 13 | 9780521589857 |
| ISBN 10 | 0521589851 |
| Titel | Econometrics of Qualitative Dependent Variables |
| Autor | Christian Gourieroux |
| Serie | Themes In Modern Econometrics |
| Buchzustand | Nicht verfügbar |
| Bindungsart | Paperback |
| Verlag | Cambridge University Press |
| Erscheinungsjahr | 2000-10-09 |
| Seitenanzahl | 384 |
| Hinweis auf dem Einband | Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden. |
| Hinweis | Nicht verfügbar |