Econocide tells the story of how an overweening focus on economic development, in concert with biased housing policy practices, and a virtual... abandonment of civic responsibility, has forsaken the urban poor in Cincinnati, Ohio. Alice Skirtz shows how the city has used legislation and the administration of public policy to serve the ends of privatizing public assets and displacing people who are perceived as undesirable because they lack economic power and privilege. Skirtz argues that enactment and implementation of legislation grounded in contempt for the economically disadvantaged and schemes contrived to keep affordable housing off the market and to reduce or devolve essential social services have resulted in gross economic inequities, manifest in a collectivity she identifies as "economic others." The book examines the constructs of economic others and econocide through three themes: The development of exclusion ordinances to remove economic others The indirect removal of economic others by means of policy decisions The privatization of governance to absolve the city of its social and ethical responsibilities Econocide is more than just a profound history of a sociopolitical vicious circle, it suggests a way out of it—not just for Cincinnati but for all cities in which econocide is occurring. No one concerned with social work practice with the economically disenfranchised or, more generally, how public policy affects the urban poor can afford to ignore this book.

Econometric Analysisi, 6/e serves as a bridge between an introduction to the field of econometrics and the professional literature for  social... scientists and other professionals in the field of social sciences, focusing on applied econometrics and theoretical background. This book provides a broad survey of the field of econometrics that allows the reader to move from here to practice in one or more specialized areas. At the same time, the reader will gain an appreciation of the common foundation of all the fields presented and use the tools they employ. This book gives space to a wide range of topics including basic econometrics, Classical, Bayesian, GMM, and Maximum likelihood, and gives special emphasis to new topics such a time series and panels. For social scientists and other professionals in the field who want a thorough introduction to applied econometrics that will prepare them for advanced study and practice in the field.

Econometric Analysis  serves as a bridge between an introduction to the field of econometrics and the professional literature for  social scientists... and other professionals in the field of social sciences, focusing on applied econometrics and theoretical background. This book provides a broad survey of the field of econometrics that allows the reader to move from here to practice in one or more specialized areas. At the same time, the reader will gain an appreciation of the common foundation of all the fields presented and use the tools they employ.

The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section... and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis.Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

Written by one of the world's leading researchers and writers in the field, Econometric Analysis of Panel Data has become established as the leading... textbook for postgraduate courses in panel data.  This new edition reflects the rapid developments in the field covering the vast research that has been conducted on panel data since its initial publication. Featuring the most recent empirical examples from panel data literature, data sets are also provided as well as the programs to implement the estimation and testing procedures described in the book.  These programs will be made available via an accompanying website which will also contain solutions to end of chapter exercises that will appear in the book.The text has been fully updated with new material on dynamic panel data models and recent results on non-linear panel models and in particular work on limited dependent variables panel data models.  

Applied work in business and economics often require a solid understanding of econometric methods to support decision making. This book provides this,... encouraging an active engagement with these methods by means of examples and exercises, so that the student develops a working understanding and hands-on experience with current day econometrics.

First course in Econometrics in Economics Departments at better schools, also Economic/Business Forecasting. Statistics prerequisite but no calculus.... Slightly higher level and more comprehensive than Gujarati (M-H, 1996) . P-R covers more time series and forecasting. P-R coverage is notch below Johnston-DiNardo (M-H, 97) and requires no matrix algebra. Includes data disk.

Hayashi's Econometrics promises to be the next great synthesis of modern econometrics. It introduces first year Ph.D. students to standard graduate... econometrics material from a modern perspective. It covers all the standard material necessary for understanding the principal techniques of econometrics from ordinary least squares through cointegration. The book is also distinctive in developing both time-series and cross-section analysis fully, giving the reader a unified framework for understanding and integrating results. Econometrics has many useful features and covers all the important topics in econometrics in a succinct manner. All the estimation techniques that could possibly be taught in a first-year graduate course, except maximum likelihood, are treated as special cases of GMM (generalized methods of moments). Maximum likelihood estimators for a variety of models (such as probit and tobit) are collected in a separate chapter. This arrangement enables students to learn various estimation techniques in an efficient manner. Eight of the ten chapters include a serious empirical application drawn from labor economics, industrial organization, domestic and international finance, and macroeconomics. These empirical exercises at the end of each chapter provide students a hands-on experience applying the techniques covered in the chapter. The exposition is rigorous yet accessible to students who have a working knowledge of very basic linear algebra and probability theory. All the results are stated as propositions, so that students can see the points of the discussion and also the conditions under which those results hold. Most propositions are proved in the text. For those who intend to write a thesis on applied topics, the empirical applications of the book are a good way to learn how to conduct empirical research. For the theoretically inclined, the no-compromise treatment of the basic techniques is a good preparation for more advanced theory courses.