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An Introduction to Modern Econometrics Using Stata
Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, this introduction illustrates how to apply econometric theories used in modern empirical research using Stata. The author emphasizes the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how to apply the theories to real data sets. The book first builds familiarity with the basic skills needed to work with econometric data in Stata before delving into the core topics, which range from the multiple linear regression model to instrumental-variables estimation.
An Introduction to Stata Programming
"The second edition of this book contains several new recipes illustrating how do-files, ado-files, and Mata functions can be used to solve programming problems. Several recipes have also been updated to reflect new features in Stata added between versions 10 and 14. The discussion of maximum-likelihood function evaluators has been significantly expanded in this edition. The new topics covered in this edition include factor variables and operatores; use of margins, marginsplot, and suest; Mata-based likelihood function evaluators; and associative arrays."--Preface.
Environmental Econometrics Using Stata
Aspects of environmental change are some of the greatest challenges faced by policymakers today. The key issues addressed by environmental science are often empirical, and in many instances very detailed, sizable datasets are available. Researchers in this field should have a solid understanding of the econometric tools best suited for analysis of these data. While complex and expensive physical models of the environment exist, it is becoming increasingly clear that reduced-form econometric models have an important role to play in modeling environmental phenomena. In short, successful environmental modeling does not necessarily require a structural model, but the econometric methods underlyi...
A Visual Guide to Stata Graphics, Second Edition
The Power of Stata Graphics at Your Fingertips Whether you are new to Stata graphics or a seasoned veteran, this book teaches you how to use Stata to make high-quality graphs that stand out and enhance statistical results. With over 900 illustrated examples and quick-reference tabs, it offers a guide to creating and customizing graphs for any type of statistical data using either Stata commands or the Graph Editor. The author displays each graph example in full color with simple and clear instructions. He shows how to produce various types of graph elements, including marker symbols, lines, legends, captions, titles, axis labels, and grid lines. Reflecting the new graphics features of Stata, this thoroughly updated and expanded edition contains a new chapter that explains how to exploit the power of the new Graph Editor. This edition also includes additional examples and illustrates nearly every example with the Graph Editor.
Axel Honneth
With his insightful and wide-ranging theory of recognition, AxelHonneth has decisively reshaped the Frankfurt School tradition ofcritical social theory. Combining insights from philosophy,sociology, psychology, history, political economy, and culturalcritique, Honneth’s work proposes nothing less than anaccount of the moral infrastructure of human sociality and itsrelation to the perils and promise of contemporary sociallife. This book provides an accessible overview of Honneth’s maincontributions across a variety of fields, assessing the strengthsand weaknesses of his thought. Christopher Zurn clearly explainsHonneth’s multi-faceted theory of recognition and itsrelation to diverse top...
Data Analysis Using Stata
"This book provides a comprehensive introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. Using data from a longitudinal study of private households in Germany, the book presents many examples from the social sciences to bring beginners up to speed on the use of Stata." -- BACK COVER.
Flexible Parametric Survival Analysis Using Stata
Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded. The book describes simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences.
Maximum Likelihood Estimation with Stata, Fourth Edition
Maximum Likelihood Estimation with Stata, Fourth Edition is written for researchers in all disciplines who need to compute maximum likelihood estimators that are not available as prepackaged routines. Readers are presumed to be familiar with Stata, but no special programming skills are assumed except in the last few chapters, which detail how to add a new estimation command to Stata. The book begins with an introduction to the theory of maximum likelihood estimation with particular attention on the practical implications for applied work. Individual chapters then describe in detail each of the four types of likelihood evaluator programs and provide numerous examples, such as logit and probit regression, Weibull regression, random-effects linear regression, and the Cox proportional hazards model. Later chapters and appendixes provide additional details about the ml command, provide checklists to follow when writing evaluators, and show how to write your own estimation commands.
Handbook of Research Methods and Applications in Empirical Macroeconomics
This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and...
Can Financial Markets be Controlled?
The Global Financial Crisis overturned decades of received wisdomon how financial markets work, and how best to keep them in check.Since then a wave of reform and re-regulation has crashed overbanks and markets. Financial firms are regulated as neverbefore. But have these measures been successful, and do they go farenough? In this smart new polemic, former central banker andfinancial regulator, Howard Davies, responds with a resounding‘no’. The problems at the heart of the financial crisisremain. There is still no effective co-ordination of internationalmonetary policy. The financial sector is still too big and,far from protecting the economy and the tax payer, recentgovernment legislation is exposing both to even greater risk. To address these key challenges, Davies offers a radicalalternative manifesto of reforms to restore market discipline andcreate a safer economic future for us all.
