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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).
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