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The twenty-first century will witness a rapid urban expansion in the developing world. India, it is believed, will be at the forefront of such a phenomenon. This book acknowledges the role of agglomeration externalities as the cornerstone of urban public policy in India. Arguing that hypotheses of over-urbanization and urban bias theory--which articulated a negative view of urbanization--are based on fragile theoretical as well as empirical foundations, this book calls for proactive public policy to harness planned urbanization as resource. India requires agglomeration-augmenting, congestion-mitigating, and resource-generating cities as engines of economic growth, including rural development. The book provides a large number of practical examples from India and abroad to enable policy-makers undertake reforms in urban and regional planning, financing, and governance to meet the challenges of urbanization in India. It combines theory and practice to draw lessons for an urban agenda for India and recognizes the central role of cities in catalysing growth and generating public finance for economic development.
Description: The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. 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.