Introductory Econometrics: Intuition, Proof, and Practice attempts to distill econometrics into a form that preserves its essence, but that is acceptable—and even appealing—to the student's intellectual palate. This book insists on rigor when it is essential, but it emphasizes intuition and seizes upon entertainment wherever possible. Introductory Econometrics is motivated by three beliefs. First, students are, perhaps despite themselves, interested in questions that only econometrics can answer. Second, through these answers, they can come to understand, appreciate, and even enjoy the enterprise of econometrics. Third, this text, which presents select innovations in presentation and practice, can provoke readers' interest and encourage the responsible and insightful application of econometric techniques. In particular, author Jeffrey S. Zax gives readers many opportunities to practice proofs—which are challenging, but which he has found to improve student comprehension. Learning from proofs gives readers an organic understanding of the message behind the numbers, a message that will benefit them as they come across statistics in their daily lives. An ideal core text for foundational econometrics courses, this book is appropriate for any student with a solid understanding of basic algebra—and a willingness to use that tool to investigate complicated issues.
Modern biographies of Richard Nixon have been consumed with Watergate. All have missed arguably the most important perspective on Nixon as California's native son, the only U.S. president born and raised in California. In addition, Nixon was also a son, brother, friend, husband, father, uncle, and grandfather. By shifting the focus from Watergate and Washington to Nixon's deep, defining roots in California, Paul Carter boldly challenges common conceptions of the thirty-seventh president of the United States. More biographies have been written on Nixon than any other U.S. politician. Yet the territory traversed by Carter is unexplored, revealing for the first time the people, places, and experiences that shaped Richard Nixon and the qualities that garnered him respect from those who knew him well. Born in Yorba Linda and raised in Whittier, California, Nixon succeeded early in life, excelling in academics while enjoying athletics through high school. At Whittier College he graduated at the top of his class and was voted Best Man on Campus. During his career at Whittier's oldest law firm, he was respected professionally and became a chief trial attorney. As a military man in the South Pacific during World War II, he was admired by his fellow servicemen. Returning to his Quaker roots after the war, he was elected to the U.S. House of Representatives, the Senate, and the vice presidency, all within six short years. After losing to John Kennedy in the 1960 presidential campaign, Nixon returned to Southern California to practice law. After losing his gubernatorial race he reinvented himself: he moved to New York and was elected president of the United States in 1968. He returned to Southern California after Watergate and his resignation to heal before once again taking a place on the world stage. Richard Nixon: California's Native Son is the story of Nixon's Southern California journey from his birth in Yorba Linda to his final resting place just a few yards from the home in which he was born.
Features an introduction to probability theory using measure theory. This work provides proofs of the essential introductory results and presents the measure theory and mathematical details in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects.
Exploring Health Psychology provides comprehensive yet student-friendly coverage of both traditional topics in the field and important contemporary issues relating to reproductive, sexual, and psychological health. Using an informal, sometimes humorous narrative, the authors engage students of all interest levels, abilities, and learning styles by emphasizing the application of health and wellbeing psychology in their daily lives. Balancing depth and accessibly, each chapter describes the body systems relevant to a particular topic, incorporates up-to-date information and research, and contains relatable examples, real-world applications, compelling discussion and review questions, personal stories and vignettes, a running glossary, and more. Broad in scope, Exploring Health Psychology examines the interactions between biological, psychological, and sociocultural factors in psychological disorders and discusses their psychological and medical treatment. Critical psychological health issues such as anxiety and depression, the health of sexual and gender minorities, and the psychological dangers and pitfalls of the digital age are addressed to meet the needs of today’s students. An array of active learning features based on the SQ4R pedagogy—Survey, Question, Read, Recite, Reflect, and Review—enables students to take an active role in the learning process, develop effective study habits, strengthen critical and scientific thinking, and comprehend, retain, and apply the material.
Hydrogen bonds are weak attractions, with a binding strength less than one-tenth that of a normal covalent bond. However, hydrogen bonds are of extraordinary importance; without them all wooden structures would collapse, cement would crumble, oceans would vaporize, and all living things would disintegrate into random dispersions of inert matter. Hydrogen Bonding in Biological Structures is informative and eminently usable. It is, in a sense, a Rosetta stone that unlocks a wealth of information from the language of crystallography and makes it accessible to all scientists. (From a book review of Kenneth M. Harmon, Science 1992)
This edition draws on data from the ethology of defense learning theory, anxiety disorders, the psychopharmacology of anti-anxiety drugs and amnesia to present a theory of anxiety and the brain systems, especially the septo-hippocampal system that subserve it.
Thomas Hobbes and the uses of Christianity -- Hobbes, the long parliament, and the Church of England -- Rise of the independents -- Leviathan and the Cromwellian revolution -- Hobbes among the Cromwellians -- The independents and the 'Religion of Thomas Hobbes' -- Response of the exiled church.
This book aims to compile typical fundamental-to-advanced statistical methods to be used for health data sciences. Although the book promotes applications to health and health-related data, the models in the book can be used to analyze any kind of data. The data are analyzed with the commonly used statistical software of R/SAS (with online supplementary on SPSS/Stata). The data and computing programs will be available to facilitate readers’ learning experience. There has been considerable attention to making statistical methods and analytics available to health data science researchers and students. This book brings it all together to provide a concise point-of-reference for the most commonly used statistical methods from the fundamental level to the advanced level. We envisage this book will contribute to the rapid development in health data science. We provide straightforward explanations of the collected statistical theory and models, compilations of a variety of publicly available data, and illustrations of data analytics using commonly used statistical software of SAS/R. We will have the data and computer programs available for readers to replicate and implement the new methods. The primary readers would be applied data scientists and practitioners in any field of data science, applied statistical analysts and scientists in public health, academic researchers, and graduate students in statistics and biostatistics. The secondary readers would be R&D professionals/practitioners in industry and governmental agencies. This book can be used for both teaching and applied research.
Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods. *Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.
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.
Econometrics is the combined study of economics and statistics and is an 'applied' unit. It is increasingly becoming a core element in finance degrees at upper levels. This first local adaptation of Wooldridge's text offers a version of Introductory Econometrics with a structural redesign that will better suit the market along with Asia-Pacific examples and data. Two new chapters at the start of the book have been developed from material originally in Wooldridge's appendix section to serve as a clear introduction to the subject and as a revision tool that bridges students' transition from basic statistics into econometrics. This adaptation includes data sets from Australian and New Zealand, as well as from the Asia-Pacific region to suit the significant portion of finance students who are from Asia and the likelihood that many graduates will find employment overseas.
Interest in nonparametric methodology has grown considerably over the past few decades, stemming in part from vast improvements in computer hardware and the availability of new software that allows practitioners to take full advantage of these numerically intensive methods. This book is written for advanced undergraduate students, intermediate graduate students, and faculty, and provides a complete teaching and learning course at a more accessible level of theoretical rigor than Racine's earlier book co-authored with Qi Li, Nonparametric Econometrics: Theory and Practice (2007). The open source R platform for statistical computing and graphics is used throughout in conjunction with the R package np. Recent developments in reproducible research is emphasized throughout with appendices devoted to helping the reader get up to speed with R, R Markdown, TeX and Git.
Master the role and skills of the medical-surgical nurse in Canada with the book that has it all! Lewis's Medical-Surgical Nursing in Canada: Assessment and Management of Clinical Problems, 5th Edition reflects the expertise of nurses from across Canada with evidence-informed guidelines, a focus on clinical trends, and a review of pathophysiology. Clear examples make it easy to understand every concept in nursing care — from health promotion to acute intervention to ambulatory care. An Evolve website includes new case studies to enhance your skills in clinical judgement and prepare you for the Next Generation NCLEX®, CPNRE®, and REx-PNTM. From Canadian educators Jane Tyerman and Shelley L. Cobbett, this comprehensive guide provides a solid foundation in perioperative care as well as nursing care of disorders by body system. - Easy-to-understand content is written and reviewed by leading experts in the field, ensuring that information is comprehensive, current, and clinically accurate. - More than 800 full-colour illustrations and photographs demonstrate disease processes and related anatomy and physiology. - Focus on key areas includes the determinants of health, patient and caregiver teaching, age-related considerations, collaborative care, cultural considerations, nutrition, home care, evidence-informed practice, and patient safety. - Nursing Assessment chapters focus on individual body systems and include a brief review of related anatomy and physiology, a discussion of health history and non-invasive physical assessment skills, and note common diagnostic studies, expected results, and related nursing responsibilities. - Unfolding case studies in each assessment chapter help you apply important concepts and procedures to real-life patient care. - UNIQUE! Levels of Care approach organizes nursing management into three levels: health promotion, acute intervention, and ambulatory and home care. - Nursing Management chapters focus on the pathophysiology, clinical manifestations, laboratory and diagnostic study results, interprofessional care, and nursing management of various diseases and disorders, and are organized to follow the steps of the nursing process (assessment, nursing diagnoses, planning, implementation, and evaluation). - Safety Alerts and Drug Alerts highlight important safety issues in patient care. - Informatics boxes discuss the importance and use of technology with topics such as use of social media in the context of patient privacy, teaching patients to manage self-care using smartphone apps, and using Smart infusion pumps. - Cultural Competence and Health Equity in Nursing Care chapter discusses culture as a determinant of health, especially in regard to Indigenous populations; health equity and health equality issues as they relate to marginalized groups in Canada; and practical suggestions for developing cultural competence in nursing care. - More than 60 comprehensive nursing care plans on the Evolve website include defining characteristics, expected outcomes, specific nursing interventions with rationales, evaluation criteria, and collaborative problems.
This book is a practical guide for the analysis of longitudinal behavioural data. Longitudinal data consist of repeated measures collected on the same subjects over time.
A crime novel loosely based on the masses and songs of the 17th century Flemish composer Pierre de la Rue Masses and Motets is a tale composed of four basic interwoven threads, corresponding to the four-part choral writing of Pierre de la Rue’s service music. The first thread comes from the diaries of a recently murdered priest, Father Andrea Vidal, former secretary to the notorious Father Marcial Maciel. The second thread is the mystery story, a police procedural focusing on the efforts of Denver detective Francesca Fruscella to solve the murder and retrieve Vidal’s diary. The third strand is the story of Father Signelli, a priest sent from the Vatican to “fix” the murder. And the fourth strand explores the best and worst of Catholic culture: art and music created by Catholic artists and sexual abuse by Catholic priests. Vidal’s narrative is the story of a priest who systematically, sincerely, and hopefully tries to destroy his very self through sex, drinking, and drugs in order to get closer to God. Fruscella’s story is that of a middle-aged, female detective trying to solve a ghastly murder while constantly battling the sexism of the Catholic Church. Signelli’s tale is that of an older career priest who, in doing the bidding of his superiors to fix problems that threaten the order of the Church, has perhaps compromised his own soul. By no means a simple narrative of wicked priests, this is a story of men who desperately want to believe, as well as a story of what this belief might shelter and cost.
These seventeen essays provide an accessible and thorough reference for understanding the role of exchange rates in the international monetary system since 1973, when the rates were allowed to float. The essays analyze such issues as exchange rate movements, exchange risk premia, investor expectations of exchange rates and behavior of exchange rates in different systems. Frankel's sound empirical treatment of exchange rate questions shows that it is possible to produce work that is interesting from a purely intellectual viewpoint while contributing to practical knowledge of the real world of international economics and finance.The essays have been organized in a way that provides an introduction to the field of empirical international finance. Part I documents the steady reduction in barriers to international capital movement and leads logically to part II, which explains how exchange rates are determined. Both monetary and portfolio-based models are surveyed in part II, providing a clear transition to the topic of part III; the possible existence of an exchange risk premium. Part IV applies the tools discussed in earlier sections to explore various policy questions related to exchange rate expectations such as whether foreign exchange intervention matters and whether the European monetary system had become credible by 1991. Each part begins with a detailed introduction explaining not only the central issues of that section but also suggesting connections with other essays in the book.Jeffrey A. Frankel is Professor of Economics at the University of California, Berkeley.
Hazardous waste management is a complex, interdisciplinary field that continues to grow and change as global conditions change. Mastering this evolving and multifaceted field of study requires knowledge of the sources and generation of hazardous wastes, the scientific and engineering principles necessary to eliminate the threats they pose to people and the environment, the laws regulating their disposal, and the best or most cost-effective methods for dealing with them. Written for students with some background in engineering, this comprehensive, highly acclaimed text does not only provide detailed instructions on how to solve hazardous waste problems but also guides students to think about ways to approach these problems. Each richly detailed, self-contained chapter ends with a set of discussion topics and problems. Case studies, with equations and design examples, are provided throughout the book to give students the chance to evaluate the effectiveness of different treatment and containment technologies.
Handbook and reference guide for students and practitioners of statistical regression-based analyses in R Handbook of Regression Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical programming language. The authors’ thorough treatment of “classical” regression analysis in the first edition is complemented here by their discussion of more advanced topics including time-to-event survival data and longitudinal and clustered data. The book further pays particular attention to methods that have become prominent in the last few decades as increasingly large data sets have made new techniques and applications possible. These include: Regularization methods Smoothing methods Tree-based methods In the new edition of the Handbook, the data analyst’s toolkit is explored and expanded. Examples are drawn from a wide variety of real-life applications and data sets. All the utilized R code and data are available via an author-maintained website. Of interest to undergraduate and graduate students taking courses in statistics and regression, the Handbook of Regression Analysis will also be invaluable to practicing data scientists and statisticians.
Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, Monte Carlo Simulation and Resampling Methods for Social Science, by Thomas M. Carsey and Jeffrey J. Harden, examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.
Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on the successful 'Data Analysis and Graphics Using R,' 3rd edition (Cambridge, 2010), it expands upon topics including cluster analysis, exponential time series, matching, seasonality, and resampling approaches. An extended look at p-values leads to an exploration of replicability issues and of contexts where numerous p-values exist, including gene expression. Developing practical intuition, this book assists scientists in the analysis of their own data, and familiarizes students in statistical theory with practical data analysis. The worked examples and accompanying commentary teach readers to recognize when a method works and, more importantly, when it doesn't. Each chapter contains copious exercises. Selected solutions, notes, slides, and R code are available online, with extensive references pointing to detailed guides to R.
A statistics textbook that delivers essential data analysis techniques for Alzheimer's and other neurodegenerative diseases. Alzheimer's disease is a devastating condition that presents overwhelming challenges to patients and caregivers. In the face of this relentless and as-yet incurable disease, mastery of statistical analysis is paramount for anyone who must assess complex data that could improve treatment options. This unique book presents up-to-date statistical techniques commonly used in the analysis of data on Alzheimer's and other neurodegenerative diseases. With examples drawn from the real world that will make it accessible to disease researchers, practitioners, academics, and students alike, this volume • presents code for analyzing dementia data in statistical programs, including SAS, R, SPSS, and Stata • introduces statistical models for a range of data types, including continuous, categorical, and binary responses, as well as correlated data • draws on datasets from the National Alzheimer's Coordinating Center, a large relational database of standardized clinical and neuropathological research data • discusses advanced statistical methods, including hierarchical models, survival analysis, and multiple-membership • examines big data analytics and machine learning methods Easy to understand but sophisticated in its approach, Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases will be a cornerstone for anyone looking for simplicity in understanding basic and advanced statistical data analysis topics. Allowing more people to aid in analyzing data—while promoting constructive dialogues with statisticians—this book will hopefully play an important part in unlocking the secrets of these confounding diseases.
A new understanding of Kant’s theory of a priori knowledge and his natural philosophy emerges from Jeffrey Edwards’s mature and penetrating study. In the Third Analogy of Experience, Kant argues for the existence of a dynamical plenum in space. This argument against empty space demonstrates that the dynamical plenum furnishes an a priori necessary condition for our experience and knowledge of an objective world. Such an a priori existence proof, however, transgresses the limits Kant otherwise places on transcendental arguments in the Critique of Pure Reason because it establishes a material transcendental condition of possible experience. This finding motivates Edwards to examine the broader context of Kant’s views about matter, substance, causal influence, and physical aether in connection with the developmental history of his theory of transcendental idealism. Against the backdrop of early modern metaphysics and contemporaneous physical theory, Edwards explicates the origins of the Third Analogy in Kant’s early work on the metaphysics of nature. The argument against empty space presented in the Third Analogy reveals a central aspect of Kant’s transcendental theory of experience that Edwards explains lucidly. By clarifying the epistemological standpoint at issue in the Third Analogy, he shows that the fundamental revisions to which Kant subjects his theory of knowledge in the Opus postumum not only originate in his precritical metaphysics of nature but are developments of an argument central to the Critique of Pure Reason itself. Edwards’s work is important to scholars working in the history of philosophy and the history and philosophy of science, as well as to Kant specialists.
This is the essential companion to the second edition of Jeffrey Wooldridge's widely used graduate econometrics text. The text provides an intuitive but rigorous treatment of two state-of-the-art methods used in contemporary microeconomic research. The numerous end-of-chapter exercises are an important component of the book, encouraging the student to use and extend the analytic methods presented in the book. This manual contains advice for answering selected problems, new examples, and supplementary materials designed by the author, which work together to enhance the benefits of the text. Users of the textbook will find the manual a necessary adjunct to the book.
This textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields (mathematics, statistics, economics, management, finance, computer science, and engineering) who require a working knowledge of probability theory that is mathematically precise, but without excessive technicalities. The text provides complete proofs of all the essential introductory results. Nevertheless, the treatment is focused and accessible, with the measure theory and mathematical details presented in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. In this new edition, many exercises and small additional topics have been added and existing ones expanded. The text strikes an appropriate balance, rigorously developing probability theory while avoiding unnecessary detail.
The fourth edition of Corporate Finance takes an applied approach to cover all the latest research and topic areas important to students taking Finance courses. The new edition provides an international perspective on all areas of corporate finance and has been updated to include discussion on current trends such as the rise of populism and trade barriers on international finance, the advent of Financial Technology, and key regulatory changes impacting the sector. Understanding and Application •Clear, user-friendly style •Example boxes in every chapter provide hypothetical examples to illustrate theoretical concepts such as cash flow timing, dividend smoothing and differential growth. •Real World Insight boxes use real companies like Siemens, Avast and Adidas to show how they have applied corporate finance theories and concepts to their businesses and business decisions. •Chapter links in the margin provide quick cross-referencing to show students the connections between topics. Practice and Proficiency •Mini and Practical cases present scenarios and questions to practice applying what you have learnt. •Rigorous testing: between 30 and 40 Questions and Problems per chapter are categorised by topic and level of difficulty. •Numbered maths equations and key notation boxes listing the variables and acronyms that will be encountered in each chapter, designed to encourage mastery of Maths. •Exam Questions designed to take 45 minutes and test you on material learned in a more formal exam style. •Connect® resources include algorithmic questions designed to ensure equations and calculations are not learned by rote but by thorough understanding and practice New to This Edition •Updated discussions on peer-to-peer trading, cash flow forecasting methods, import/export partners and additional investment appraisal methods •Updated chapters on corporate governance to reflect global changes, efficient markets and mergers and acquisition to reflect new research, financial distress to reflect new data with discussion on trends and insolvencies and fully updated chapter on Leasing to reflect new IFRS standards •New section on Modified Internal Rate of Return and Margin of Safety in Investment Appraisal, Net Asset Value, Islamic Financing, and alternatives to CAPM to reflect research developments • NEW: This edition has now been updated with 8 new videos that covers a worked example from the text and each video has associated concept check questions. The videos are now available on Connect® and cover: • Chapter 1 & 2: Introduction to Finance and Corporate Governance • Chapter 5: Long-Term Financing • Chapter 6: Investment Appraisal • Chapter 9 & 10: Risk and Return • Chapter 15 and 16: Equity and Debt Valuation • Chapter 20: Advanced Capital Budgeting • Chapter 21: Dividends • Chapter 22: Options David Hillier is Associate Principal and Executive Dean of the University of Strathclyde Business School. A Professor of Finance, David was recognized as being in the top 3 per cent of the most prolific finance researchers in the world over the past 50 years (Heck and Cooley, 2009) and appears regularly in the media as a business commentator.
This book presents, compares, and develops various techniques for estimating market power - the ability to set price profitably above marginal cost - and strategies - the game-theoretic plans used by firms to compete with rivals. The authors start by examining static model approaches to estimating market power. They extend the analysis to dynamic models. Finally, they develop methods to estimate firms' strategies directly and examine how these strategies determine market power. A detailed technical appendix reviews the relevant information-theoretic and other econometric models that are used throughout. Questions and detailed answers for students and researchers are provided in the book for easy use.
Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related research. Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book. The inclusion of code for R, SAS, and SPSS allows for easy implementation by readers. For readers interested in learning more about the languages, though, there are short tutorials in the appendix. Accompanying data sets are available for download through the book s website. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects. Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.
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