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Quantile Regression, the first book of Hao and Naiman's two-book series, establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literature exists for each subject, the authors seek to explore the natural connections between this increasingly sought-after tool and research topics in the social sciences. Quantile regression as a method does not rely on assumptions as restrictive as those for the classical linear regression; though more traditional models such as least squares linear regression are more widely utilized, Hao and Naiman show, in their application of quantile regression to empirical research, how this model yields a more complete understanding of inequality. Inequality is a perennial concern in the social sciences, and recently there has been much research in health inequality as well. Major software packages have also gradually implemented quantile regression. Quantile Regression will be of interest not only to the traditional social science market but other markets such as the health and public health related disciplines. Key Features: Establishes a natural link between quantile regression and inequality studies in the social sciences Contains clearly defined terms, simplified empirical equations, illustrative graphs, empirical tables and graphs from examples Includes computational codes using statistical software popular among social scientists Oriented to empirical research
Alexander Werner analysiert die Determinanten von regionalen Wachstumsunterschieden in Deutschland, für die verschiedene theoretische Modelle Erklärungsansätze liefern. Der Autor untersucht das regionale Wachstum mehrerer Wirtschaftsindikatoren – BIP und verfügbares Einkommen pro Einwohner sowie globale und sektorale Arbeitsproduktivität – im Zeitraum von 1996 bis 2008. Dabei greift er sowohl auf Kreisregionen als auch auf eine eigene Abgrenzung von Arbeitsmarktregionen zurück; zudem zeigt er die Unterschiede zwischen der nominalen und der realen Entwicklung der Wirtschaftsindikatoren durch regionale Preisindizes auf. In den ökonometrischen Modellen berücksichtigt der Autor räumliche Abhängigkeiten und weist mittels der Quantilsregression heterogene Effekte der Wachstumsdeterminanten entlang der bedingten Verteilung nach.
Statistics are important tools for validating theory, making predictions and engaging in policy research. They help to provide informed commentary about social and environmental issues, and to make the case for change. Knowledge of statistics is therefore a necessary skill for any student of geography or environmental science. This textbook is aimed at students on a degree course taking a module in statistics for the first time. It focuses on analysing, exploring and making sense of data in areas of core interest to physical and human geographers, and to environmental scientists. It covers the subject in a broadly conventional way from descriptive statistics, through inferential statistics to relational statistics but does so with an emphasis on applied data analysis throughout.
This book provides insight into current research topics in finance and banking in the aftermath of the financial crisis. In this volume, authors present empirical research on liquidity risk discussed in the context of Basel III and its implications. Chapters also investigate topics such as bank efficiency and new bank business models from a business diversification perspective, the effects on financial exclusion and how liquidity mismatches are related with the bank business model. This book will be of value to those with an interest in how Basel III has had a tangible impact upon banking processes, particularly with regard to maintaining liquidity, and the latest research in financial business models.
This book provides an extensive overview of the diffusion of Information and Communication Technologies (ICTs) in developing countries between 2000 and 2012. It covers issues such as country-specific ICT diffusion patterns, technological substitution and technological convergence. By identifying social, economic and institutional prerequisites and analyzing critical country-specific conditions, the author develops a new approach to explaining the emergence of their technological takeoff. Readers will discover how developing countries are now adopting ICTs, rapidly catching up with the developed world in terms of ICT access and use.
The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.

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