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Analysis of Microdata

ISBN/EAN: 9783540927471
Umbreit-Nr.: 1538867

Sprache: Englisch
Umfang: xiv, 343 S., 39 s/w Illustr., 343 p. 39 illus.
Format in cm: 2.4 x 24 x 16.2
Einband: gebundenes Buch

Erschienen am 04.02.2009
Auflage: 2/2009
€ 128,39
(inklusive MwSt.)
Lieferbar innerhalb 1 - 2 Wochen
  • Zusatztext
    • The availability of microdata has increased rapidly over the last decades, and standard statistical and econometric software packages for data analysis include ever more sophisticated modeling options. The goal of this book, now initssecondedition,istofamiliarizethereaderwithawiderangeofcommonly used models, and thereby to enable her/him to become a critical consumer of current empirical research, and to properly conduct own empirical analyses. The book can be used as a textbook for an advanced undergraduate, a Master's or a ?rst-year Ph.D. course on the topic of microdata analysis. In economicsandrelateddisciplines,suchacourseistypicallyo?eredaftera?rst course on the linear regression model. Alternatively, the book can also serve as a supplementary text to applied ?eld courses, such as those dealing with empirical analyses in labor, health or education. Finally, it might provide a useful reference for graduate students, researchers and practitioners who encounter microdata in their work. The focus of the book is on regression-type models in the context of large cross-section samples where the dependent variable is qualitative or discrete, or where the sample is not randomly drawn from the population of interest, due to censoring or truncation of the dependent variable. While our ba- groundisineconomics,andweoccasionallyrefertoproblemsandapplications fromempiricaleconomics,themodelsdiscussedinthisbookshouldbeequally relevant wherever microdata are used, inside the social sciences, including for example quantitative political science and sociology, as well as outside.
  • Kurztext
    • Can be used as a textbook for undergraduate, Master`s or first-year Ph.D. students in economics and related disciplines as well a supplementary text to an applied microeconomics field course (e. g. areas of labor economics, health economics a.s.o.)Intended as a reference for graduate students, researchers as well as practioners who encounter microdata in their workWith numerous exercises, illustrations and tablesProvides several extensions and refinements, includes additional details on the concept of conditional probability models, which form the basis for all models discussed in the book