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Economics and Finance (R0)

Michael Lynn

The Psychology of Tipping

Scientific Insights for Services Customers, Workers, and Managers

&lt;p&gt;Ch 1: More than Small Change: Who Cares about Tipping? Why? What Should They Know?.- Ch 2: Beyond Gratitude &amp;amp; Gratuity: Why do, or don&amp;rsquo;t, people tip?.- Ch 3: Big-Tippers &amp;amp; Stiffers: Who gives the best, and worst, tips?.- Ch 4: A Time for Tipping: When do people tip more... or less?.- Ch 5: A Place for Tips: How and why does tipping vary across geographic areas?.- Ch 6: Perk of the Job: Why do we tip some service occupations and not others?.- Ch 7: Unequal Pay: Who gets the best tips and who gets the worst?.- Ch 8: Mega Tips: How can service workers get larger tips?.- Ch: 9: Winners &amp;amp; Losers: Who does tipping benefit and who does it harm? How?.- Ch 10: Cornucopia of Controversy: What controversies arise from tipping? What should people know about them?.- Ch 11: Past a Prologue: How did tipping get where it is? How might it change going forward?.&lt;/p&gt;

Essentials

Grundlagen und Anwendungen

Marketing und Service Dominant Logic

Classroom Companion: Business

Change Management, Digital Transformation and ESG

Modern Facility and Workplace Management

Employment, Hours, and Earnings

A special edition to the Handbook of U.S. Labor Statistics: Employment, Earnings, Prices, Productivity, and Other Labor Data, this reference is a consolidated wealth of employment information, providing monthly and annual data on hours worked and earnings made by industry, including figures and summary information spanning several years.These data are presented for states and the 75 largest metropolitan statistical areas (MSAs).

This edition features:

- Nearly 300 tables with data on employment for each state, the District of Columbia, and the nation's seventy-five largest MSAs

- Detailed, non-seasonally adjusted industry data organized by month and year

- Ranking of the seventy-five largest MSAs

- Concise technical notes

- A comprehensive appendix 

The employment, hours, and earnings data in this publication provide a detailed and timely picture of the fifty states, the District of Columbia, and the nation's seventy-five largest MSAs. These data can be used to analyze key factors affecting state and local economies and to compare national cyclical trends to local-level economic activity.

This reference is an excellent source of information for analysts in both the public and private sectors. Readers who are involved in public policy can use these data to determine the health of the economy, to clearly identify which sectors are growing and which are declining, and to determine the need for federal assistance. State and local jurisdictions can use the data to determine the need for services, including training and unemployment assistance, and for planning and budgetary purposes. In addition, the data can be used to forecast tax revenue. In private industry, the data can be used by business owners to compare their business to the economy as a whole and to identify suitable areas when making decisions about plant locations, wholesale and retail trade outlets, and locating a particular sector base.

States and Areas

Employment, Hours, and Earnings 2025

Busting the myth of “groupthink,” a powerful look at how our ability to influence one another can accelerate individual and collective intelligence. A leading expert on social networks and behavior change delivers new principles of social influence to improve collective intelligence. For years, scientists have struggled to discover the formula to produce the world’s smartest teams. But the solution has been elusive&nbsp;because they have focused on individual intelligences. In Goodthink, Damon Centola shows how to build teams, design online platforms, and create office spaces that sharpen our thinking individually and align our intelligence collectively. The secret, it turns out, is in the shape of our networks. How did MIT’s Building 20, populated with outcasts and eccentrics, become one of the most innovative and productive research hubs in American history? Why did increasing the number of online echo chambers unexpectedly reduce political polarization? How can popular “herding behavior” make crowds more intelligent? This book has the answers. Taking us behind the scenes of the most successful systems of collective intelligence in the modern world, it introduces a new science of what it means to be smart. Every day, each of us faces four critical decision-making challenges: choosing, coordination, cooperation, and creativity. Goodthink describes the tell-tale signs of when effective structures are at work, enabling us to “read the room” and begin to shift the dynamics at play. It also reveals how to know when things are failing and what to do to fix them. Delivering path-breaking insights currently at work within Fortune 500 companies, global philanthropic organizations, and government agencies, the book reveals underlying dynamics of group intelligence that have gone overlooked. Showing us how these principles work to make us feel more confident, more connected, and more engaged, Goodthink leaves us feeling smarter—because we are!

Busting the myth of “groupthink,” an insightful look at how our ability to influence one another can accelerate individual and collective intelligence. A leading expert on social networks and behavior change delivers new principles of social influence to improve collective intelligence. For years, scientists have struggled to discover the formula to produce the world’s smartest teams. But the solution has been elusive&nbsp;because they have focused on individual intelligences. In Goodthink, Damon Centola shows how to build teams, design online platforms, and create office spaces that sharpen our thinking individually and align our intelligence collectively. The secret, it turns out, is in the shape of our networks. How did MIT’s Building 20, populated with outcasts and eccentrics, become one of the most innovative and productive research hubs in American history? Why did increasing the number of online echo chambers unexpectedly reduce political polarization? How can popular “herding behavior” make crowds more intelligent? This book has the answers. Taking us behind the scenes of the most successful systems of collective intelligence in the modern world, it introduces a new science of what it means to be smart. Every day, each of us faces four critical decision-making challenges: choosing, coordination, cooperation, and creativity. Goodthink describes the tell-tale signs of when effective structures are at work, enabling us to “read the room” and begin to shift the dynamics at play. It also reveals how to know when things are failing and what to do to fix them. Delivering path-breaking insights currently at work within Fortune 500 companies, global philanthropic organizations, and government agencies, the book reveals underlying dynamics of group intelligence that have gone overlooked. Showing us how these principles work to make us feel more confident, more connected, and more engaged, Goodthink leaves us feeling smarter—because we are!

The New Science of Collective Intelligence

Goodthink

A comprehensive look at causality’s theoretical and practical aspects in economics and finance. In Causal Modeling for Finance and Business, Frank Fabozzi and Sergio Focardi offer a foundation for understanding causal relationships and their importance in complex systems. Topics include the theory of graphs, probabilistic frameworks, structural causal models, algorithms for learning causal structures, and the empirical testing of these models. The book emphasizes applying and deploying causal models in real-world business and investment scenarios. However, it also offers a novel theoretical perspective on causal modeling. Fabozzi and Focardi argue that causation is not a law of nature, but a characteristic of causal systems. If we accept the modern idea of causation as manipulability, causal systems are characterized by causal relationships as well as purely descriptive functional relationships. With these arguments in mind, the book addresses a critical gap in understanding and applying causal reasoning in complex systems. While correlations have often been relied upon in data analysis, decision-making in business and economics demands a deeper understanding of causation and functional relationships to drive actionable outcomes. The book’s objective is to provide a comprehensive resource that bridges foundational theories and practical applications of causal models. By integrating recent advancements in artificial intelligence, probabilistic logic, and graph theory, the authors offer a robust framework for researchers, practitioners, and decision-makers to harness the power of causality in solving intricate problems.

Foundations, Frameworks, and Applications

Causal Modeling for Finance and Business

Perspectives in Behavioral Economics and the Economics of Behavior

Keynesian Behavioral Macroeconomics analyzes Keynes’s landmark contributions in behavioral economics and develops a new and fresh genre of macroeconomic analysis. It compels us to consider seriously the earlier-generation warnings about the impact of investors’ animal spirits and financiers’ liquidity-presence using cognitive-based and social psychology heuristics. Innovative in its subject matter, approach, theoretical development and policy prescriptions, this constructivist pluralist approach can contribute to important debates. This fresh look in macroeconomics can fruitfully be applied by macroeconomists, policymakers, and market participants to prevent effective demand shortages, stimulate the economy, preserve job creation, and impact redistribution, sustainability and social inclusion. In this timely book, Theodore Koutsobinas develops a synthesis of Keynes’s macroeconomic theory with contemporary developments in behavioral macroeconomics to analyze urgent real-world challenges, and he proposes successful solutions for macroeconomic policy. This volume uniquely explains how Keynes’s magnificent, crucial, but long-forgotten dynamics can be analyzed on the basis of behavioral foundations to explain amplified global finance cycles, booms and busts, and macroeconomic instability with harmful effects on incomes and jobs.

Keynesian Behavioral Macroeconomics

Why do we use eighty-year-old metrics to understand today’s economy? The ways that statisticians and governments measure the economy were developed in the 1940s, when the urgent economic problems were entirely different from those of today. In The Measure of Progress, Diane Coyle argues that the framework underpinning today’s economic statistics is so outdated that it functions as a distorting lens, or even a set of blinkers. When policymakers rely on such an antiquated conceptual tool, how can they measure, understand, and respond with any precision to what is happening in today’s digital economy? Coyle makes the case for a new framework, one that takes into consideration current economic realities. Coyle explains why economic statistics matter. They are essential for guiding better economic policies; they involve questions of freedom, justice, life, and death. Governments use statistics that affect people’s lives in ways large and small. The metrics for economic growth were developed when a lack of physical rather than natural capital was the binding constraint on growth, intangible value was less important, and the pressing economic policy challenge was managing demand rather than supply. Today’s challenges are different. Growth in living standards in rich economies has slowed, despite remarkable innovation, particularly in digital technologies. As a result, politics is contentious and democracy strained. Coyle argues that to understand the current economy, we need different data collected in a different framework of categories and definitions, and she offers some suggestions about what this would entail. Only with a new approach to measurement will we be able to achieve the right kind of growth for the benefit of all.

Counting What Really Matters

The Measure of Progress

A groundbreaking bridge between traditional financial theories and emerging interdisciplinary approaches, offering a unique perspective on finance in these uncertain times. From a seasoned expert in finance, behavioral finance, complexity science, and quantum finance. Adaptive Finance is a forward-looking exploration of the evolving world of finance, addressing the most pressing challenges and emerging trends facing financial markets today. It examines how traditional economic and financial models, long dominant in the field, are being redefined by advancements in behavioral science, mathematics, and technology. Financial professionals and academics must confront risks and dynamics that established theories often fail to capture in an era marked by complexity, technological disruption, and global uncertainty. This book provides the intellectual foundation needed to tackle these challenges. The chapters span a wide range of topics—from behavioral finance and causal models to quantum finance and innovations in financial systems—offering a comprehensive view of the forces reshaping finance. The book begins with well-established frameworks and progressively explores cutting-edge concepts, guiding readers through the transformation of financial theory and practice. Each chapter stands on its own, making the book suitable for both comprehensive study and selective reading. The authors present a timely perspective on how finance must adapt to a more complex and dynamic world.

A groundbreaking bridge between traditional financial theories and emerging interdisciplinary approaches, offering a unique perspective on finance in these uncertain times. From a seasoned expert in finance, behavioral finance, complexity science, and quantum finance. Adaptive Finance is a forward-looking exploration of the evolving world of finance, addressing the most pressing challenges and emerging trends facing financial markets today. It examines how traditional economic and financial models, long dominant in the field, are being redefined by advancements in behavioral science, mathematics, and technology. Financial professionals and academics must confront risks and dynamics that established theories often fail to capture in an era marked by complexity, technological disruption, and global uncertainty. This book provides the intellectual foundation needed to tackle these challenges. The chapters span a wide range of topics—from behavioral finance and causal models to quantum finance and innovations in financial systems—offering a comprehensive view of the forces reshaping finance. The book begins with well-established frameworks and progressively explores cutting-edge concepts, guiding readers through the transformation of financial theory and practice. Each chapter stands on its own, making the book suitable for both comprehensive study and selective reading. The authors present a timely perspective on how finance must adapt to a more complex and dynamic world.

Embracing Uncertainty and Complexity

Adaptive Finance

Springer Climate

This book explores the impact of our consumption habits on the planet and how global crises can transform them. Connecting climate policy, sustainable development, and consumer behavior, it offers a clear framework for understanding responsible consumption. Additionally, the book examines EU climate targets, circular economy principles, and the role of digital commerce in shaping environmental outcomes. 
&nbsp;
Through an analysis of five major global crises ranging from the 1973 oil shock to the current climate emergency, the book illustrates how recent disruptions, such as the pandemic and the Russo-Ukrainian War, can prompt more conscientious choices while revealing the obstacles to lasting change. With real-world case studies and evidence-based policy insights, the book provides researchers, policymakers, and individuals interested in climate action with theoretical insights and practical tools.

From Crisis to Conscious Consumer Choices

Climate Change and Responsible Consumption

How can a particular way of argumenting direct our thinking? How does the formulation of a question influence the answer, producing a bias or an insight? And finally, what effect does public communication have on public behaviour?Psychorhetoric and the Psychology of Thought illustrates the role played by rhetoric and communicative heuristics in the psychology of thinking and decision making, and its effect on many areas of our daily life. It gives voice to a new and unconventional approach to the contemporary debate within the psychology of thought that has wide implications for key behavioural phenomena, including biases, creativity, decision making, and public policy. This innovative work challenges conventional wisdom by proposing that cognitive biases are not inherent flaws in human cognition, but rather outcomes of misleading communication patterns that influence our thinking processes.This unconventional approach to the psychology of thought has significant implications for creativity, decision making, economic behaviour, and public policy development. Essential reading for students and researchers in cognitive psychology, communication studies, and behavioural economics, this volume promises to reshape our understanding of human rationality and the communicative forces that guide it.

Psychorhetoric and the Psychology of Thought

Artificial intelligence can enable unique socioeconomic circumstances. This interdisciplinary book applies behavioral economics to AI-driven dynamics and concepts such as cybersecurity. Blending cutting-edge theory, workable policy insights, and human-AI cooperation, this book provides an ethical governance framework readers can apply across different contexts.

 The book identifies unique AI-driven patterns, cultural nuances, and socioeconomic drivers in African contexts, asking readers to rethink their approach to knowledge-based systems, behavioral frontiers, and cybersecurity. The book adopts an interdisciplinary approach to help readers decode how AI shapes African government cybersecurity choices.With a unique focus on supporting safer and more resilient cybersecurity behaviors in Africa, the book provides insights into the interconnections between education, finance, entrepreneurship, information science, psychology, public health, and other policy domains, the book proposes workable policy tools to help action the African Union Agenda 2063. Chapters offer constructive approaches to reconfigure the UN's SDGs 2030 themes related to cybersecurity and AI.Readers will discover opportunities to bolster the capacities of policymaking and research to enable AI-driven technologies, support cultural nuances, and transform socioeconomic circumstances.&nbsp;Gbadebo Odularu 
 teaches international economics, labor economics, econometrics, macroeconomics theory, African economic development, and economic research methods at Howard University. He is Research Fellow for the Princeton University Pan-African Scientific Research Council (PASRC) and the Global Labor Organization (GLO). Odularu is also President of the Washington, DC-based professional development non-profit, African Finance and Economic Association (AFEA).&nbsp;In 2023, he was an instructor for Econometrics I for Howard University's American Economic Association (AEA) Summer Program. He is the editor or coeditor of&nbsp;
 Nutrition, Sustainable Agriculture, and Climate Change in Africa&nbsp;
 (Palgrave Macmillan, 2020),&nbsp;
 Strategic Policy Options for Bracing Nigeria for the Future of Trade
 &nbsp;(Palgrave Macmillan, 2020), and&nbsp;
 Trade Facilitation Capacity Needs
 (Palgrave Macmillan, 2019).

Artificial intelligence can enable unique socioeconomic circumstances. This interdisciplinary book applies behavioral economics to AI-driven dynamics and concepts such as cybersecurity. Blending cutting-edge theory, workable policy insights, and human-AI cooperation, this book provides an ethical governance framework readers can apply across different contexts.

 The book identifies unique AI-driven patterns, cultural nuances, and socioeconomic drivers in African contexts, asking readers to rethink their approach to knowledge-based systems, behavioral frontiers, and cybersecurity. The book adopts an interdisciplinary approach to help readers decode how AI shapes African government cybersecurity choices.With a unique focus on supporting safer and more resilient cybersecurity behaviors in Africa, the book provides insights into the interconnections between education, finance, entrepreneurship, information science, psychology, public health, and other policy domains, the book proposes workable policy tools to help action the African Union Agenda 2063. Chapters offer constructive approaches to reconfigure the UN's SDGs 2030 themes related to cybersecurity and AI.Readers will discover opportunities to bolster the capacities of policymaking and research to enable AI-driven technologies, support cultural nuances, and transform socioeconomic circumstances.

Policy Lessons for Africa

Behavioral Cybersecurity and Ethical AI in Relational Economics Context

A new paradigm based on quantum probability that can model stock markets and price options—and also upends classical quantitative finance. In The Quantum Stock Market, David Orrell combines theory and new empirical findings to argue for a new approach to finance based on quantum probability. The main finding, a property called q-variance, may be unique in finance in that it was discovered as the result of a prediction, affects financial markets in general, has no tunable parameter, and has important consequences for a range of topics including the pricing of financial options. The property, which somehow eluded detection for over a century, has been verified by experts in the field. And the fact that it is incompatible with classical finance—which is perhaps why it went undetected—suggests that the field must be reinvented. The aim of this book is therefore nothing less than to initiate a paradigm shift in finance. As with any new work that challenges existing methods, the ideas have already received considerable pushback from a range of sources, including leaders in the field of finance, along with physicists skeptical of applying quantum probability outside its traditional domain. Written in an interdisciplinary style that mixes mathematical equations, data analysis, and informed comment on the field of finance, it should be read by anyone—including students, academics, and practitioners—who wants to be on the right side of a paradigm shift.

And the Road Not Taken in Finance

The Quantum Stock Market

The Psychology of Tipping

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