Data Analysis Using Stata

The field of marketing and management has undergone immense changes over the past decade. These dynamic changes are driving an increasing need for data analysis using quantitative modelling. Problem s

How do developing states decide who gets access to public goods like electricity, water, and education? Power and the Vote breaks new ground by showing that the provision of seemingly universal public goods is intricately shaped by electoral priorities. In doing so, this book introduces new methods using high-resolution satellite imagery to study the distribution of electricity across and within the developing world. Combining cross-national evidence with detailed sub-national analysis and village-level data from India, Power and the Vote affirms the power of electoral incentives in shaping the distribution of public goods and challenges the view that democracy is a luxury of the rich with little relevance to the world's poor.

How do developing states decide who gets access to public goods like electricity, water, and education? Power and the Vote breaks new ground by showing that the provision of seemingly universal public goods is intricately shaped by electoral priorities. In doing so, this book introduces new methods using high-resolution satellite imagery to study the distribution of electricity across and within the developing world. Combining cross-national evidence with detailed sub-national analysis and village-level data from India, Power and the Vote affirms the power of electoral incentives in shaping the distribution of public goods and challenges the view that democracy is a luxury of the rich with little relevance to the world's poor.

When and why do countries redistribute land to the landless? What political purposes does land reform serve, and what place does it have in today's world? A long-standing literature dating back to Aristotle and echoed in important recent works holds that redistribution should be both higher and more targeted at the poor under democracy. Yet comprehensive historical data to test this claim has been lacking. This book shows that land redistribution - the most consequential form of redistribution in the developing world - occurs more often under dictatorship than democracy. It offers a novel theory of land reform and develops a typology of land reform policies. Albertus leverages original data spanning the world and dating back to 1900 to extensively test the theory using statistical analysis and case studies of key countries such as Egypt, Peru, Venezuela, and Zimbabwe. These findings call for rethinking much of the common wisdom about redistribution and regimes.

When and why do countries redistribute land to the landless? What political purposes does land reform serve, and what place does it have in today's world? A long-standing literature dating back to Aristotle and echoed in important recent works holds that redistribution should be both higher and more targeted at the poor under democracy. Yet comprehensive historical data to test this claim has been lacking. This book shows that land redistribution - the most consequential form of redistribution in the developing world - occurs more often under dictatorship than democracy. It offers a novel theory of land reform and develops a typology of land reform policies. Albertus leverages original data spanning the world and dating back to 1900 to extensively test the theory using statistical analysis and case studies of key countries such as Egypt, Peru, Venezuela, and Zimbabwe. These findings call for rethinking much of the common wisdom about redistribution and regimes.

This book provides a rigorous treatment of spectral analysis using Fourier-based techniques in the geosciences, specifically geodesy and geophysics that deal with global and regional spatial data. It

QlikView Your Business is written as a comprehensive resource that teaches best practices for using QlikView for effective analysis and visualization of data. It quickly covers the basics of using the

Family members, friends, coworkers and neighbors are often the first to know that a woman has been abused by an intimate male partner. What is the proper course of action for those with knowledge of abuse? Using a wide range of empirical data from international sources, Renate Klein documents informal third parties as the first port of call, sources of support and interference, and gatekeepers to formal services. Family and social network members disrupt ongoing assaults, respond to disclosures of abuse and provide solace and practical help. These networks do not always side with victims, however, and may either sympathize with or actively support perpetrators. Klein illuminates the complexities of these contingent situations. Her analysis highlights the potential of informal third parties for effective intervention, demonstrating their significant role in promoting societies free from rape and domestic violence.

How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This book introduces readers to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. Each chapter, written by leading domain experts in clear and accessible language, takes the reader to the forefront of the newly emerging field of computational social science. An introductory chapter on Twitter data analysis provides an overview of key tools and skills, and gives pointers on how to get started, while the case studies demonstrate shortcomings, limitations, and pitfalls of Twitter data as well as its advantages. The book will be an excellent resource for social science students and researchers wanting to explore the use of online data.

How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This book introduces readers to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. Each chapter, written by leading domain experts in clear and accessible language, takes the reader to the forefront of the newly emerging field of computational social science. An introductory chapter on Twitter data analysis provides an overview of key tools and skills, and gives pointers on how to get started, while the case studies demonstrate shortcomings, limitations, and pitfalls of Twitter data as well as its advantages. The book will be an excellent resource for social science students and researchers wanting to explore the use of online data.

White Backlash provides an authoritative assessment of how immigration is reshaping the politics of the nation. Using an array of data and analysis, Marisa Abrajano and Zoltan Hajnal show that fears a

This volume provides general linguists with new data and analysis on languages spoken in China regarding various aspects of space and quantification, using different approaches. Contributions by resea

Signalling nouns (SNs) are abstract nouns like 'fact', 'idea', 'problem' and 'result', which are non-specific in their meaning when considered in isolation and specific in their meaning by reference to their linguistic context. SNs contribute to cohesion and evaluation in discourse. This work offers the first book-length study of the SN phenomenon to treat the functional and discourse features of the category as primary. Using a balanced corpus of authentic data, the book explores the lexicogrammatical and discourse features of SNs in academic journal articles, textbooks, and lectures across a range of disciplines in the natural and social sciences. The book will be essential reading for researchers and advanced students of semantics, syntax, corpus linguistics and discourse analysis, in addition to scholars and teachers in the field of English for academic purposes.

In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative estimation techniques are first introduced using both the potential outcome model and causal graphs; after which, conditioning techniques, such as matching and regression, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, alternative techniques, such as instrumental variable estimators, longitudinal methods, and estimation via causal mechanisms, are then presented. The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed.

In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative estimation techniques are first introduced using both the potential outcome model and causal graphs; after which, conditioning techniques, such as matching and regression, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, alternative techniques, such as instrumental variable estimators, longitudinal methods, and estimation via causal mechanisms, are then presented. The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed.

If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis compu

Applied Econometric Time Series, 4th Edition demonstrates modern techniques for developing models capable of forecasting, interpreting, and testing hypotheses concerning economic data. In this text, Dr. Walter Enders commits to using a “learn-by-doing” approach to help readers master time-series analysis efficiently and effectively.

Policymaking in the realm of elections is too often grounded in anecdotes and opinions, rather than in good data and scientific research. To remedy this, The Measure of American Elections brings together a dozen leading scholars to examine the performance of elections across the United States, using a data-driven perspective. This book represents a transformation in debates about election reform, away from partisan and ideological posturing, toward using scientific analysis to evaluate the conduct of contemporary elections. The authors harness the power of newly available data to document all aspects of election administration, ranging from the registration of voters to the counting of ballots. They demonstrate what can be learned from giving serious attention to data, measurement, and objective analysis of American elections.

Policymaking in the realm of elections is too often grounded in anecdotes and opinions, rather than in good data and scientific research. To remedy this, The Measure of American Elections brings together a dozen leading scholars to examine the performance of elections across the United States, using a data-driven perspective. This book represents a transformation in debates about election reform, away from partisan and ideological posturing, toward using scientific analysis to evaluate the conduct of contemporary elections. The authors harness the power of newly available data to document all aspects of election administration, ranging from the registration of voters to the counting of ballots. They demonstrate what can be learned from giving serious attention to data, measurement, and objective analysis of American elections.

Using a wide range of professional genres such as research papers, business reports, performance commentaries, guidebooks and legal documents, this study focuses on the discourse of professional writing, employing analytic paradigms from systemic-functional linguistics, pragmatics, text analysis, sociology and anthropological linguistics. Kenneth Kong argues that while professions use different sets of practices, their use of language displays many universals. This is demonstrated through the analysis of data from a broad cross-section of professional settings such as medicine, law, business, mass media and engineering. This examination of professional discourse, and its important role in society, will be of interest to researchers in applied linguistics, to professionals who want to understand the role of language in their work, and to teachers of English for specific purposes.

How are languages represented in the human brain? Ideas from neuroscience have increasingly been applied to the study of language, exploring the neural processes involved in acquisition, maintenance and loss of language and languages, and the interaction between languages in bi- and multilingual speakers. With a sharp focus on multilingualism, this culmination of cutting-edge research sheds light on this challenging question. Using data from a variety of experiments, this is the first book-length study to offer a new neuroscientific model for analysing multilingualism. Alongside a comprehensive analysis of the theoretical and experimental contributions to the field, it presents new data and analysis obtained from a multilingualism fMRI study. It also includes a unique longitudinal study of second and third language acquisition combined with extensive empirically valid language proficiency data of the subjects. A must-read for researchers and advanced students interested in neurolinguis

Looking for Student Resources?Go here to explore.Principles of Life was the first book to reflect the changes occurring in the AP® Biology redesign. This innovative text emphasizes biology’s major concepts and provides students with opportunities to apply those concepts through data analysis and active-learning. Now Principles of Life returns in a thoroughly updated new edition that exemplifies the reform that is remaking the modern biology classroom. The new teacher’s edition – written for and by AP® Biology instructors - is designed to support every AP® Biology teacher using POL teach a successful course and prepare their students for the redesigned exam.

This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The treatment of exact algorithms covers the main inference paradigms based on elimination and conditioning and includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks. The treatment of approximate algorithms covers the main inference paradigms based on sampling and optimization and includes influential algorithms such as importance sampling, MCMC, and belief propagation. The author assumes very little background on the covered subjects, supplying

"Traditional, low-dimensional, small scale data have been successfully dealt with using conventional software engineering and classical statistical methods, such as discriminant analysis, neural netwo

Stream processing is a novel distributed computing paradigm that supports the gathering, processing and analysis of high-volume, heterogeneous, continuous data streams, to extract insights and actionable results in real time. This comprehensive, hands-on guide combining the fundamental building blocks and emerging research in stream processing is ideal for application designers, system builders, analytic developers, as well as students and researchers in the field. This book introduces the key components of the stream computing paradigm, including the distributed system infrastructure, the programming model, design patterns and streaming analytics. The explanation of the underlying theoretical principles, illustrative examples and implementations using the IBM InfoSphere Streams SPL language and real-world case studies provide students and practitioners with a comprehensive understanding of such applications and the middleware that supports them.

In this exhaustive analysis, authors deal with the epidemiology, pathogenesis, pathoanatomy, diagnosis, and treatment of chronic radiation syndrome, using data from a unique sample of villagers in the

Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions.

Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions.

Populism is best understood as a Manichaean world view linked to a characteristic language or discourse. Chavismo, the movement that sustains Hugo Chávez in Venezuela, is a paradigmatic instance of populism. Using a novel, cross-country dataset on populist discourse, combined with extensive data from within Venezuela and across other countries, this book demonstrates that populist movements can be understood as responses to widespread corruption and economic crisis. The book analyzes the Bolivarian Circles and government missions in Venezuela, revealing how populist ideas influence political organization and policy. The analysis provides important insight into the nature of populism, including its causes and consequences, and addresses broader questions about the role of ideas in politics.

This book demonstrates the consequences of legislators' strategic communication for representation in American politics. Representational Style in Congress shows how legislators present their work to cultivate constituent support. Using a massive new data set of texts from legislators and new statistical techniques to analyze the texts, this book provides comprehensive measures of what legislators say to constituents and explains why legislators adopt these styles. Using the new measures, Justin Grimmer shows how legislators affect how constituents evaluate their representatives and the consequences of strategic statements for political discourse. The introduction of new statistical techniques for political texts allows a more comprehensive and systematic analysis of what legislators say and why it matters than was previously possible. Using these new techniques, the book makes the compelling case that to understand political representation, we must understand what legislators say to c

With new chapters on data analysis and multi-level models, and fresh exercises in SPSS and Stata, this fourth edition provides a solid introduction to the topic. Real-life examples show how statistica

This book explores both theoretical and practical issues of language use in a migration context, using a mixed-method approach. The unique interview data on which the analysis is based (and therefore

This book examines and evaluates various private initiatives to enforce fair labor standards within global supply chains. Using unique data (internal audit reports and access to more than 120 supply chain factories and 700 interviews in 14 countries) from several major global brands, including NIKE, HP and the International Labor Organization's Factory Improvement Programme in Vietnam, this book examines both the promise and the limitations of different approaches to actually improve working conditions, wages and working hours for the millions of workers employed in today's global supply chains. Through a careful, empirically grounded analysis of these programs, this book illustrates the mix of private and public regulation needed to address these complex issues in a global economy.

This book examines and evaluates various private initiatives to enforce fair labor standards within global supply chains. Using unique data (internal audit reports and access to more than 120 supply chain factories and 700 interviews in 14 countries) from several major global brands, including NIKE, HP and the International Labor Organization's Factory Improvement Programme in Vietnam, this book examines both the promise and the limitations of different approaches to actually improve working conditions, wages and working hours for the millions of workers employed in today's global supply chains. Through a careful, empirically grounded analysis of these programs, this book illustrates the mix of private and public regulation needed to address these complex issues in a global economy.

This supplement can be used in any analytical chemistry course. The exercises teach students how to use Microsoft Excel using applications from statistics, data analysis equilibrium calculations, curv

The field of marketing and management has undergone immense changes over the past decade. These dynamic changes are driving an increasing need for data analysis using quantitative modelling.Problem so

Disrupting Dark Networks focuses on how social network analysis can be used to craft strategies to track, destabilize and disrupt covert and illegal networks. The book begins with an overview of the key terms and assumptions of social network analysis and various counterinsurgency strategies. The next several chapters introduce readers to algorithms and metrics commonly used by social network analysts. They provide worked examples from four different social network analysis software packages (UCINET, NetDraw, Pajek and ORA) using standard network data sets as well as data from an actual terrorist network that serves as a running example throughout the book. The book concludes by considering the ethics of and various ways that social network analysis can inform counterinsurgency strategizing. By contextualizing these methods in a larger counterinsurgency framework, this book offers scholars and analysts an array of approaches for disrupting dark networks.

Disrupting Dark Networks focuses on how social network analysis can be used to craft strategies to track, destabilize and disrupt covert and illegal networks. The book begins with an overview of the key terms and assumptions of social network analysis and various counterinsurgency strategies. The next several chapters introduce readers to algorithms and metrics commonly used by social network analysts. They provide worked examples from four different social network analysis software packages (UCINET, NetDraw, Pajek and ORA) using standard network data sets as well as data from an actual terrorist network that serves as a running example throughout the book. The book concludes by considering the ethics of and various ways that social network analysis can inform counterinsurgency strategizing. By contextualizing these methods in a larger counterinsurgency framework, this book offers scholars and analysts an array of approaches for disrupting dark networks.

Thirty years after the identification of the disease that became known as AIDS, humanitarian organizations warn that the fight against HIV/AIDS has slowed, amid a funding shortfall and donor fatigue. In this book, Bjørn Lomborg brings together research by world-class specialist authors, a foreword by UNAIDS founding director Peter Piot and perspectives from Nobel Laureates and African civil society leaders to identify the most effective ways to tackle the pandemic across sub-Saharan Africa. There remains an alarming lack of high-quality data evaluating responses to HIV. We still know too little about what works, where and how to replicate our successes. This book offers the first comprehensive attempt by teams of authors to analyze HIV/AIDS policy choices using cost-benefit analysis, across six major topics. This approach provides a provocative fresh look at the best ways to scale up the fight against this killer epidemic.

Thirty years after the identification of the disease that became known as AIDS, humanitarian organizations warn that the fight against HIV/AIDS has slowed, amid a funding shortfall and donor fatigue. In this book, Bjørn Lomborg brings together research by world-class specialist authors, a foreword by UNAIDS founding director Peter Piot and perspectives from Nobel Laureates and African civil society leaders to identify the most effective ways to tackle the pandemic across sub-Saharan Africa. There remains an alarming lack of high-quality data evaluating responses to HIV. We still know too little about what works, where and how to replicate our successes. This book offers the first comprehensive attempt by teams of authors to analyze HIV/AIDS policy choices using cost-benefit analysis, across six major topics. This approach provides a provocative fresh look at the best ways to scale up the fight against this killer epidemic.