Microeconometrics Using Stata, Second Edition is an invaluable reference for researchers and students interested in applied microeconometric methods. Like previous editions, this text covers all the classic microeconometric techniques ranging from linear models to instrumental-variables regression to panel-data estimation to nonlinear models such as probit, tobit, Poisson, and choice models. Each of these discussions has been updated to show the most modern implementation in Stata, and many include additional explanation of the underlying methods. In addition, the authors introduce readers to performing simulations in Stata and then use simulations to illustrate methods in other parts of the book. They even teach you how to code your own estimators in Stata. The second edition is greatly expanded—the new material is so extensive that the text now comprises two volumes. In addition to the classics, the book now teaches recently developed econometric methods and the methods newly added to Stata. Specifically, the book includes entirely new chapters on duration models randomized control trials and exogenous treatment effects endogenous treatment effects models for endogeneity and heterogeneity, including finite mixture models, structural equation models, and nonlinear mixed-effects models spatial autoregressive models semiparametric regression lasso for prediction and inference Bayesian analysis Anyone interested in learning classic and modern econometric methods will find this the perfect companion. And those who apply these methods to their own data will return to this reference over and over as they need to implement the various techniques described in this book.

Microeconometrics Using Stata, Second Edition is an invaluable reference for researchers and students interested in applied microeconometric methods. Like previous editions, this text covers all the classic microeconometric techniques ranging from linear models to instrumental-variables regression to panel-data estimation to nonlinear models such as probit, tobit, Poisson, and choice models. Each of these discussions has been updated to show the most modern implementation in Stata, and many include additional explanation of the underlying methods. In addition, the authors introduce readers to performing simulations in Stata and then use simulations to illustrate methods in other parts of the book. They even teach you how to code your own estimators in Stata. The second edition is greatly expanded—the new material is so extensive that the text now comprises two volumes. In addition to the classics, the book now teaches recently developed econometric methods and the methods newly added to Stata. Specifically, the book includes entirely new chapters on duration models randomized control trials and exogenous treatment effects endogenous treatment effects models for endogeneity and heterogeneity, including finite mixture models, structural equation models, and nonlinear mixed-effects models spatial autoregressive models semiparametric regression lasso for prediction and inference Bayesian analysis Anyone interested in learning classic and modern econometric methods will find this the perfect companion. And those who apply these methods to their own data will return to this reference over and over as they need to implement the various techniques described in this book.

Microeconometrics Using Stata, Second Edition is an invaluable reference for researchers and students interested in applied microeconometric methods. Like previous editions, this text covers all the classic microeconometric techniques ranging from linear models to instrumental-variables regression to panel-data estimation to nonlinear models such as probit, tobit, Poisson, and choice models. Each of these discussions has been updated to show the most modern implementation in Stata, and many include additional explanation of the underlying methods. In addition, the authors introduce readers to performing simulations in Stata and then use simulations to illustrate methods in other parts of the book. They even teach you how to code your own estimators in Stata. The second edition is greatly expanded—the new material is so extensive that the text now comprises two volumes. In addition to the classics, the book now teaches recently developed econometric methods and the methods newly added to Stata. Specifically, the book includes entirely new chapters on duration models randomized control trials and exogenous treatment effects endogenous treatment effects models for endogeneity and heterogeneity, including finite mixture models, structural equation models, and nonlinear mixed-effects models spatial autoregressive models semiparametric regression lasso for prediction and inference Bayesian analysis Anyone interested in learning classic and modern econometric methods will find this the perfect companion. And those who apply these methods to their own data will return to this reference over and over as they need to implement the various techniques described in this book.

The site of Dhaskalio Kavos, on the remote Cycladic island of Keros, was extensively looted in the late 1950s and early 1960s. Investigations starting in1963 then revealed large quantities of fractured marble bowls, broken marble figures and smashed pottery of the Early Cycladic period from around 2500 BC. This report of the subsequent survey and rescue excavations of 1987-88 reveals the extraordinary richness of the site, now confirmed as one of the most prolific in lite goods of the entire Aegean early bronze age. Was it an unprecedentedly rich Early Cycladic cemetery, recently wrecked by looters? Or was the damage deliberately produced during early bronze age times in some procedure of ritual breakage and ceremonial deposition? Here the survey of the site and the rescue excavations undertaken within the looted area are documented in detail, with a full account of the finds. Alternative explanations for this extraordinary deposit are explored. What has been termed 'the Keros Enigma', in the light of the finds at the site, can now be reconsidered with the full documentation which this volume offers.

Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. This book provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors have conducted research in the field for more than twenty-five years. In this book, they combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics, and quantitative social sciences. The book may be used as a reference work on count models or by students seeking an authoritative overview. Complementary material in the form of data sets, template programs, and bibliographic resources can be accessed on the Internet through the authors' homepages. This second edition is an expanded and updated version of the first, with new empirical examples and more than one hundred new references added. The new material includes new theoretical topics, an updated and expanded treatment of cross-section models, coverage of bootstrap-based and simulation-based inference, expanded treatment of time series, multivariate and panel data, expanded treatment of endogenous regressors, coverage of quantile count regression, and a new chapter on Bayesian methods.

Data from molecular genetics have changed our views on the origin, spread and timescale of our species across this planet. But how can we reveal more detail about the demography of ancient human populations? For example, is it possible to determine when and how many people arrived at a certain continent, and which route they took from a choice of geographically plausible options? One of the most promising tools for such investigation is computer simulation incorporating various demographic scenarios. The simulation outcomes must be evaluated by teams with archaeological expertise, since archaeological evidence is generally the best evidence currently available on the population histories of geographical regions. This book is a summary of the landmark conference held in Cambridge in 2005, where specialists in simulations and molecular genetics as well as archaeologists came together to present and evaluate the state of the art, and to discuss future possibilities.

The Cycladic Islands of Greece played a central role in Aegean prehistory, and many new discoveries have been made in recent years at sites ranging in date from the Mesolithic period to the end of the Bronze Age. In the well-illustrated chapters of this book, based on the recent conference held at the McDonald Institute for Archaeological Research in Cambridge, international scholars including leading Greek archaeologists offer new information about recent developments, many arising from hitherto unpublished excavations. The book contains novel theoretical insights into the workings of culture process in the prehistoric cultures of the islands. It will be an indispensable resource for students and scholars interested in the prehistory of the Aegean and in the contributions made to its development by the prehistoric inhabitants of the Cyclades.

Fixed income attribution is by its very nature a complex and mathematically demanding topic, and there is little information available on this area. "Fixed Income Attribution" has been written to fill this tremendous void. This comprehensive resource contains both theoretical and practical information about running and understanding fixed income attribution, including the mathematics of attribution, practical limitations, benchmarks, presentation tools, and choosing and running an attribution system. Filled with insightful examples and expert advice, "Fixed Income Attribution" is the perfect source of information for those working in this complex environment.

Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. This book, now in its second edition, provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics and quantitative social sciences. The new material includes new theoretical topics, an updated and expanded treatment of cross-section models, coverage of bootstrap-based and simulation-based inference, expanded treatment of time series, multivariate and panel data, expanded treatment of endogenous regressors, coverage of quantile count regression, and a new chapter on Bayesian methods.

This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.

Linguistic diversity is one of the most puzzling and challenging features of humankind. Why are there some six thousand different languages spoken in the world today? Why are some, like Chinese or English, spoken by millions over vast territories, while others are restricted to just a few thousand speakers in a limited area? The farming/language dispersal hypothesis makes the radical and controversial proposal that the present-day distributions of many of the world's languages and language families can be traced back to the early developments and dispersals of farming from the several nuclear areas where animal and plant domestication emerged. For instance, the Indo-European and Austronesian language families may owe their current vast distributions to the spread of food plants and of farmers (speaking the relevant proto-language) following the Neolithic revolutions which took place in the Near East and in Eastern Asia respectively, thousands of years ago. In this challenging book, international experts in historical linguistics, prehistoric archaeology, molecular genetics and human ecology bring their specialisms to bear upon this intractable problem, using a range of interdisciplinary approaches. There are signs that a new synthesis between these fields may now be emerging. This path-breaking volume opens new perspectives and indicates some of the directions which future research is likely to follow.

This volume of essays examines the claim that a linguistic macrofamily can be identified which includes not only the Indo-European and Afroasiatic language families but also the Kartvelian, Uralic,Altaic and Dravidian families. The Nostratic case was put by Aharon Dolgopolsky in his The Nostratic Macrofamily and Linguitic Palaeontology , and it is here evaluated critically by linguists specialising in the language families concerned. Contents include: The Nostratic Macrofamily (A. Bomhard); Nostratic Languages: Internal and External Relationship (V. Shevoroshkin); Beyond Nostratic in Time and Space (G. Decsy); Nostratic and Linguistic Palaeontology in Methodological Perspective (L. Campbell); Family Trees and Favourite Daughters (A. McMahon, M. Lohr & R. McMahon); Linguistis Palaeontology: For and Against (I. Hegedus); Afroasiatic and the Nostratic Hypothesis (D. Appleyard); The Dravidian Perspective (K. Zvelebil); Altaic Evidence for Nostratic (A. Vovin); On Semitohamitic Comparison (R. Voight); Toward a Future History of Macrofamily Research (D. Sinor).