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Corporate accountability is never far from the front page, and as one of the world’s most elite business schools, Harvard Business School trains many of the future leaders of Fortune 500 companies. But how does HBS formally and informally ensure faculty and students embrace proper business standards? Relying on his first-hand experience as a Harvard Business School faculty member, Michel Anteby takes readers inside HBS in order to draw vivid parallels between the socialization of faculty and of students. In an era when many organizations are focused on principles of responsibility, Harvard Business School has long tried to promote better business standards. Anteby’s rich account reveals the surprising role of silence and ambiguity in HBS’s process of codifying morals and business values. As Anteby describes, at HBS specifics are often left unspoken; for example, teaching notes given to faculty provide much guidance on how to teach but are largely silent on what to teach. Manufacturing Morals demonstrates how faculty and students are exposed to a system that operates on open-ended directives that require significant decision-making on the part of those involved, with little overt guidance from the hierarchy. Anteby suggests that this model—which tolerates moral complexity—is perhaps one of the few that can adapt and endure over time. Manufacturing Morals is a perceptive must-read for anyone looking for insight into the moral decision-making of today’s business leaders and those influenced by and working for them.
Since his pioneering application of economic analysis to racial discrimination, Gary S. Becker has shown that an economic approach can provide a unified framework for understanding all human behavior. In a highly readable selection of essays Becker applies this approach to various aspects of human activity, including social interactions; crime and punishment; marriage, fertility, and the family; and "irrational" behavior. "Becker's highly regarded work in economics is most notable in the imaginative application of 'the economic approach' to a surprising breadth of human activity. Becker's essays over the years have inevitably inspired a surge of research activity in testimony to the richness of his insights into human activities lying 'outside' the traditionally conceived economic markets. Perhaps no economist in our time has contributed more to expanding the area of interest to economists than Becker, and a number of these thought-provoking essays are collected in this book."—Choice Gary Becker was awarded the Nobel Prize in Economic Science in 1992.
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
This volume, explores the nature of economics as a science, including classic texts and newer essays.
This is a new release of the original 1962 edition.
How did the fact become modernity's most favored unit of knowledge? How did description come to seem separable from theory in the precursors of economics and the social sciences? Mary Poovey explores these questions in A History of the Modern Fact, ranging across an astonishing array of texts and ideas from the publication of the first British manual on double-entry bookkeeping in 1588 to the institutionalization of statistics in the 1830s. She shows how the production of systematic knowledge from descriptions of observed particulars influenced government, how numerical representation became the privileged vehicle for generating useful facts, and how belief—whether figured as credit, credibility, or credulity—remained essential to the production of knowledge. Illuminating the epistemological conditions that have made modern social and economic knowledge possible, A History of the Modern Fact provides important contributions to the history of political thought, economics, science, and philosophy, as well as to literary and cultural criticism.
A comprehensive overview of theoretical economics, its distinctive modeling strategy, applicability, and empirical support.
Drawing together leading scholars, the book provides a revealing new map of the US political economy in cross-national perspective.
There is a paradox at the heart of our lives. We all want more money, but as societies become richer, they do not become happier. This is not speculation: It's the story told by countless pieces of scientific research. We now have sophisticated ways of measuring how happy people are, and all the evidence shows that on average people have grown no happier in the last fifty years, even as average incomes have more than doubled. The central question the great economist Richard Layard asks in Happiness is this: If we really wanted to be happier, what would we do differently? First we'd have to see clearly what conditions generate happiness and then bend all our efforts toward producing them. That is what this book is about-the causes of happiness and the means we have to effect it. Until recently there was too little evidence to give a good answer to this essential question, but, Layard shows us, thanks to the integrated insights of psychology, sociology, applied economics, and other fields, we can now reach some firm conclusions, conclusions that will surprise you. Happiness is an illuminating road map, grounded in hard research, to a better, happier life for us all.
Focuses on the economics of information goods and services, which are sufficiently different from other types of goods and services that a complete understanding of their differences is important to information managers and policymakers.