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In this volume, Matthew L. Jockers introduces readers to large-scale literary computing and the revolutionary potential of macroanalysis--a new approach to the study of the literary record designed for probing the digital-textual world as it exists today, in digital form and in large quantities. Using computational analysis to retrieve key words, phrases, and linguistic patterns across thousands of texts in digital libraries, researchers can draw conclusions based on quantifiable evidence regarding how literary trends are employed over time, across periods, within regions, or within demographic groups, as well as how cultural, historical, and societal linkages may bind individual authors, texts, and genres into an aggregate literary culture. Moving beyond the limitations of literary interpretation based on the "close-reading" of individual works, Jockers describes how this new method of studying large collections of digital material can help us to better understand and contextualize the individual works within those collections.
A concise but rigorous and thorough introduction to modern macroeconomic theory. This book offers an introduction to modern macroeconomic theory. It is concise but rigorous and broad, covering all major areas in mainstream macroeconomics today and showing how macroeconomic models build on and relate to each other. The self-contained text begins with models of individual decision makers, proceeds to models of general equilibrium without and with friction, and, finally, presents positive and normative theories of economic policy. After a review of the microeconomic foundations of macroeconomics, the book analyzes the household optimization problem, the representative household model, and the overlapping generations model. It examines risk and the implications for household choices and macroeconomic outcomes; equilibrium asset returns, prices, and bubbles; labor supply, growth, and business cycles; and open economy issues. It introduces frictions and analyzes their consequences in the labor market, financial markets, and for investment; studies money as a unit of account, store of value, and medium of exchange; and analyzes price setting in general equilibrium. Turning to government and economic policy, the book covers taxation, debt, social security, and monetary policy; optimal fiscal and monetary policies; and sequential policy choice, with applications in capital income taxation, sovereign debt and default, politically motivated redistribution, and monetary policy biases. Macroeconomic Analysis can be used by first-year graduate students in economics and students in master's programs, and as a supplemental text for advanced courses.
Now in its second edition, Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R. R is an extremely popular programming language, used throughout the sciences; due to its accessibility, R is now used increasingly in other research areas. In this volume, readers immediately begin working with text, and each chapter examines a new technique or process, allowing readers to obtain a broad exposure to core R procedures and a fundamental understanding of the possibilities of computational text analysis at both the micro and the macro scale. Each chapter builds on its predecessor as readers move from small scale “microanalysis” of single texts to large scale “macroanalysis” of text corpora, and each concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book’s focus is on making the technical palatable and making the technical useful and immediately gratifying. Text Analysis with R is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological toolkit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that readers simply cannot gather using traditional qualitative methods of close reading and human synthesis. This new edition features two new chapters: one that introduces dplyr and tidyr in the context of parsing and analyzing dramatic texts to extract speaker and receiver data, and one on sentiment analysis using the syuzhet package. It is also filled with updated material in every chapter to integrate new developments in the field, current practices in R style, and the use of more efficient algorithms.
Macroeconomic policy is one of the most important policy domains, and the tools of macroeconomics are among the most valuable for policy makers. Yet there has been, up to now, a wide gulf between the level at which macroeconomics is taught at the undergraduate level and the level at which it is practiced. At the same time, doctoral-level textbooks are usually not targeted at a policy audience, making advanced macroeconomics less accessible to current and aspiring practitioners. This book, born out of the Masters course the authors taught for many years at the Harvard Kennedy School, fills this gap. It introduces the tools of dynamic optimization in the context of economic growth, and then applies them to a wide range of policy questions – ranging from pensions, consumption, investment and finance, to the most recent developments in fiscal and monetary policy. It does so with the requisite rigor, but also with a light touch, and an unyielding focus on their application to policy-making, as befits the authors’ own practical experience. Advanced Macroeconomics: An Easy Guide is bound to become a great resource for graduate and advanced undergraduate students, and practitioners alike.
Sociology has evolved greatly since it′s inception as an academic discipline. It has diverged into numerous strands often flowing in disparate directions - so much so that today the notion of canonical sociology has become widely disputed. The field of sociology at present approximates to one of multi-paradigmatic complexity in which many approaches to theory must be distinguished and situated. In addition, the discipline has had to confront new challenges from globalization, the shift of interest from production to consumption, the rise of new social movements, the challenge of bio-engineering, the collapse of a ′presently existing socialist alternative′ and much else besides. The new SAGE Handbook of Sociology aims to address these new developments, while at the same time providing an authoritative guide to theory and method, the key sub-disciplines and the primary debates of today. To undertake this ambitious project three leading figures in the field of sociology were selected as editors to bring together the foremost exponents of the different strands that contribute towards the make up modern sociology. Drawn from both sides of the Atlantic the contributors have been commissioned to utilise the most up to date research available to provide a critical, international analysis of their area of expertise. The result is this essential resource collection that not just reflects upon the condition of sociology today but also looks to future developments in the discipline. The Handbook is invaluable not just all sociologists but to a wide variety of students and researchers across the social sciences. Click on ′Sample Chapters & Resources′ to download the introduction.
Every day, more and more kinds of historical data become available, opening exciting new avenues of inquiry but also new challenges. This updated and expanded book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines or designing and using their own tools to process large amounts of information.Demonstrating what digital tools have to offer and also what 'digital' does to how we understand the past, the authors introduce the many different tools and developing approaches in Big Data for historical and humanistic scholarship, show how to use them, what to be wary of, and discuss the kinds of questions and new perspectives this new macroscopic perspective opens up. Originally authored 'live' online with ongoing feedback from the wider digital history community, Exploring Big Historical Data breaks new ground and sets the direction for the conversation into the future.Exploring Big Historical Data should be the go-to resource for undergraduate and graduate students confronted by a vast corpus of data, and researchers encountering these methods for the first time. It will also offer a helping hand to the interested individual seeking to make sense of genealogical data or digitized newspapers, and even the local historical society who are trying to see the value in digitizing their holdings.
Understanding macroeconomic developments and policies in the twenty-first century is daunting: policy-makers face the combined challenges of supporting economic activity and employment, keeping inflation low and risks of financial crises at bay, and navigating the ever-tighter linkages of globalization. Many professionals face demands to evaluate the implications of developments and policies for their business, financial, or public policy decisions. Macroeconomics for Professionals provides a concise, rigorous, yet intuitive framework for assessing a country's macroeconomic outlook and policies. Drawing on years of experience at the International Monetary Fund, Leslie Lipschitz and Susan Schadler have created an operating manual for professional applied economists and all those required to evaluate economic analysis.
Regional trade agreements (RTAs) are not new, but their complexity and importance in global economics and politics has grown exponentially in the past two decades. Tackling this daunting proliferation head on, this book provides a much-needed guide to RTAs. Setting current regional agreements in their economic, political, and historical context, David A. Lynch describes and compares every significant RTA, region by region. He clearly explains their intricate inner workings, their webs of collaboration and conflict, and their primary goals and effectiveness. Lynch's deeply knowledgeable study bridges the ideological divides in scholarly and public debate, including economists' emphases on markets and efficiency versus antiglobalization activists' concerns over inequality and social ills. By building a middle ground between micro and macro analysis and clarifying technical terminology, this concise and accessible book will be an invaluable reference for all readers.
In recent decades, the international economy has witnessed fundamental changes in the way manufacturing is organised: products are no longer manufactured in their entirety in a single location. Instead, the production process is often split across a number of stages located in countries that are frequently far apart from each other. By spreading out their manufacturing and supply chain activities globally through international investment and intra-firm trade, Multinational enterprises (MNEs) play a focal role in this reorganisation of production. Our ability to understand the global economy, therefore, requires an understanding of the interdependencies between the entities involved in such fragmented production. Traditional methods and statistical approaches are insufficient to address this challenge. Instead, an approach is required that allows us to account for these interdependencies. The most promising approach so far is network analysis. ‘Networks of International Trade and Investment’ makes a case for the use of network analysis alongside existing techniques in order to investigate pressing issues in international business and economics. The authors put forward a range of well-informed studies that examine compelling topics such as the role of emerging economies in global trade and the evolution of world trade patterns. They look at how network analysis, as both an approach and a methodology, can explain international business and economics phenomena, in particular, in relation to international trade and investment. Providing a comprehensive but accessible explanation of the applications of network analysis and some of the most recent methodological advances in its field, this edited volume is an important contribution to research in international trade and investment.