The field of behavioural economics can tell us a great deal about cognitive bias and unconscious decision-making, challenging the orthodox economic model whereby consumers make rational and informed choices. But it is in the arena of health that it perhaps offers individuals and governments the most value. In this important new book, the most pernicious health issues we face today are examined through a behavioral economic lens. It provides an essential and timely overview of how this growing field of study can reframe and offer solutions to some of the biggest health issues of our age. The book opens with an overview of the core theoretical concepts, after which each chapter assesses how behavioral economic research and practice can inform public policy across a range of health issues. Including chapters on tobacco, alcohol and drug use, physical activity, dietary intake, cancer screening and sexual health, the book integrates the key insights from the field to both developed and developing nations. Also asking important ethical questions around paternalism and informed choice, this book will be essential reading for students and researchers across psychology, economics and business and management, as well as public health professionals wishing for a concise overview of the role behavioral economics can potentially play in allowing people to live healthier lives.

This book allows those with a basic knowledge of econometrics to learn the main nonparametric and semiparametric techniques used in econometric modelling, and how to apply them correctly. It looks at kernel density estimation, kernel regression, splines, wavelets, and mixture models, and provides useful empirical examples throughout. Using empirical application, several economic topics are addressed, including income distribution, wage equation, economic convergence, the Phillips curve, interest rate dynamics, returns volatility, and housing prices. A helpful appendix also explains how to implement the methods using R. This useful book will appeal to practitioners and researchers who need an accessible introduction to nonparametric and semiparametric econometrics. The practical approach provides an overview of the main techniques without including too much focus on mathematical formulas. It also serves as an accompanying textbook for a basic course, typically at undergraduate or graduate level.

First published in 1913, Richard Parry's Valuation and Investment Tables has since become an essential tool for students and professionals in the study and practice of valuation and appraisal. That the book reached its centenary year in print and now fourteenth edition is a testament to its acclaim by the valuation and property professionals in an era of calculators and computers, and furthermore a tribute to the historical importance of Parry's original vision and continued legacy. The purpose of the book is to provide a comprehensive range of different valuation and investment tables in one volume. Although many of the tables will be used by practicing surveyors for valuation purposes, they will also be useful to accountants and others concerned with various types of investment and financial calculations. Surveyors valuing freehold or leasehold interests in property have the choice of using either (a) annually in arrear, or (b) quarterly in advance figures of years' purchase. The relevant tables for each concept are printed on different coloured edged pages for ease of reference. In practice today, calculations are required for a variety of purposes which often justify more than one approach. To allow for this, Internal Rates of Return tables have been retained. Using these tables, both growth and non-growth scenarios can be analysed for more detailed appraisal of specific freehold properties and to provide a basis for more in-depth investment advice.

The period leading up to the Great Depression witnessed the rise of the economic forecasters, pioneers who sought to use the tools of science to predict the future, with the aim of profiting from their forecasts. This book chronicles the lives and careers of the men who defined this first wave of economic fortune tellers, men such as Roger Babson, Irving Fisher, John Moody, C. J. Bullock, and Warren Persons. They competed to sell their distinctive methods of prediction to investors and businesses, and thrived in the boom years that followed World War I. Yet, almost to a man, they failed to predict the devastating crash of 1929.

Walter Friedman paints vivid portraits of entrepreneurs who shared a belief that the rational world of numbers and reason could tame--or at least foresee--the irrational gyrations of the market. Despite their failures, this first generation of economic forecasters helped to make the prediction of economic trends a central economic activity, and shed light on the mechanics of financial markets by providing a range of statistics and information about individual firms. They also raised questions that are still relevant today. What is science and what is merely guesswork in forecasting? What motivates people to buy forecasts? Does the act of forecasting set in motion unforeseen events that can counteract the forecast made?

Masterful and compelling, "Fortune Tellers" highlights the risk and uncertainty that are inherent to capitalism itself.

UPDATED FOR 2020 WITH A NEW PREFACE BY NATE SILVER "One of the more momentous books of the decade." -The New York Times Book Review Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair's breadth, and became a national sensation as a blogger-all by the time he was thirty. He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of the website FiveThirtyEight. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the "prediction paradox": The more humility we have about our ability to make predictions, the more successful we can be in planning for the future. In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball to global pandemics, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good-or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary-and dangerous-science. Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise. With everything from the health of the global economy to our ability to fight terrorism dependent on the quality of our predictions, Nate Silver's insights are an essential read.

Concise, engaging, and highly intuitive—this accessible guide equips you with an understanding of all the basic principles of forecasting

Making accurate predictions about the economy has always been difficult, as F. A. Hayek noted when accepting his Nobel Prize in economics, but today forecasters have to contend with increasing complexity and unpredictable feedback loops. In this accessible and engaging guide, David Hendry, Michael Clements, and Jennifer Castle provide a concise and highly intuitive overview of the process and problems of forecasting. They explain forecasting concepts including how to evaluate forecasts, how to respond to forecast failures, and the challenges of forecasting accurately in a rapidly changing world.

Topics covered include: What is a forecast? How are forecasts judged? And how can forecast failure be avoided? Concepts are illustrated using real-world examples including financial crises, the uncertainty of Brexit, and the Federal Reserve’s record on forecasting. This is an ideal introduction for university students studying forecasting, practitioners new to the field and for general readers interested in how economists forecast.

The first book for a popular audience on the transformative, democratising technology of 'DeFi'.

After over a decade of Bitcoin, which has now moved beyond lore and hype into an increasingly robust star in the firmament of global assets, a new and more important question has arisen. What happens beyond Bitcoin? The answer is decentralised finance - 'DeFi'.

Tech and finance experts Steven Boykey Sidley and Simon Dingle argue that DeFi - which enables all manner of financial transactions to take place directly, person to person, without the involvement of financial institutions - will redesign the cogs and wheels in the engines of trust, and make the remarkable rise of Bitcoin look quaint by comparison. It will disrupt and displace fine and respectable companies, if not entire industries.

Sidley and Dingle explain how DeFi works, introduce the organisations and individuals that comprise the new industry, and identify the likely winners and losers in the coming revolution.

From two leaders of the FIRE (Financial Independence, Retire Early) movement, comes a bold, contrarian guide to retiring at any age, with a reproducible formula to financial independence

A bull***t-free guide to growing your wealth, retiring early, and living life on your own terms.

Kristy Shen retired with a million dollars at the age of thirty-one, and she did it without hitting a home run on the stock market, starting the next Snapchat in her garage, or investing in hot real estate. Learn how to cut down on spending without decreasing your quality of life, build a million-dollar portfolio, fortify your investments to survive bear markets and black-swan events, and use the 4 percent rule and the Yield Shield–so you can quit the rat race forever.

Not everyone can become an entrepreneur or a real estate baron; the rest of us need Shen’s mathematically proven approach to retire decades before sixty-five.

This sequel to A Life of Experimental Economics, Volume I, continues the intimate history of Vernon Smith's personal and professional maturation after a dozen years at Purdue. The scene now shifts to twenty-six transformative years at the University of Arizona, then to George Mason University, and his recognition by the Nobel Prize Committee in 2002. The book ends with his most recent decade at Chapman University. At Arizona Vernon and his students studied asset trading markets and learned how wrong it had been to suppose that price bubbles could not occur where markets were full-information transparent. Their work in computerization of the lab facilitated very complex supply and demand experiments in natural gas pipeline, communication and electricity markets that paved the way for implementing, through decentralized market processes, the liberalization of industries traditionally believed to be "natural" monopolies. The "Smart Computer Assisted Market" was born. Smith's move to George Mason University greatly facilitated government and industry work in tandem with various public and private entities, whereas his relocation to Chapman University coincided with the Great Recession, whose similarity with the Depression was evident in his research. There he integrated two fundamental kinds of markets with laboratory experiments: Consumer non-durables, the supply and demand for which was stable in the lab and in the economy, and durable assets whose bubble tendencies made them unstable in the lab as well as in the economy-witness the great housing-mortgage market bubble run-up of 1997-2007. This book's conversational style and emphasis on the backstory of published research accomplishments allows readers an exclusive peak into how and why economists pursue their work. It's a must-read for those interested in experimental economics, the housing crisis, and economic history.

Market Analysis for Real Estate is a comprehensive introduction to how real estate markets work and the analytical tools and techniques that can be used to identify and interpret market signals. The markets for space and varied property assets, including residential, office, retail, and industrial, are presented, analyzed, and integrated into a complete understanding of the role of real estate markets within the workings of contemporary urban economies. Unlike other books on market analysis, the economic and financial theory in this book is rigorous and well integrated with the specifics of the real estate market. Furthermore, it is thoroughly explained as it assumes no previous coursework in economics or finance on the part of the reader. The theoretical discussion is backed up with numerous real estate case study examples and problems, which are presented throughout the text to assist both student and teacher.

Including discussion questions, exercises, several web links, and online slides, this textbook is suitable for use on a variety of degree programs in real estate, finance, business, planning, and economics at undergraduate and MSc/MBA level. It is also a useful primer for professionals in these disciplines.

Table of Contents

PART A: INTRODUCTION 1. Market Analysis In Perspective 2. Real Estate Economics PART B: METROPOLITAN GROWTH ANALYSIS 3. Metropolitan Growth Patterns 4. Analyzing Metropolitan Economies PART C: ANALYZING RESIDENTIAL REAL ESTATE MARKETS 5. Residential Real Estate Markets 6. Macroeconomic Analysis of Residential Real Estate Markets: Accounting Techniques 7. Macroeconomic Analysis of Residential Real Estate Markets: The Basics of the Econometric Approach 8. Macroeconomic Analysis of Residential Real Estate Markets: Applying the Econometric Approach 9. Analyzing Residential Projects: A Micro Perspective 10. Analysis of Residential Real Estate Markets: An Example PART D: ANALYZING THE MARKET FOR RETAIL SPACE 11. Retail Markets and Retail Market Studies 12. Analyzing the Market for Retail Space 13. Analyzing the Market for Retail Space: Synthesis and Market Studies PART E: OFFICE MARKET ANALYSIS 14. The Market for Office Space 15. Office Market Analysis: A Macro Perspective 16. Micro Analysis of Office Markets 17. Office Market Analysis: Synthesis and Market Studies PART F: INDUSTRIAL MARKET ANALYSIS 18. Industrial Space Market PART G: DATA SOURCES 19. Data Sources for Real Estate Market Analysis

"This is a definitive, excellent book on Elliott, and I recommend it to all who have an interest in the Wave Principle." Richard Russell, Dow Theory Letters
"Gold and Silver Today wholeheartedly endorses this book. It is the definitive work on a scientific wave theory of human experience. If you are interested in technical or wave analysis, it should be required reading." Gold & Silver Today
"This book is extremely well done. It is clear, brief and bold....by far the most useful and comprehensive for both the beginner and the veteran." William Dilanni, Wellington Mgmt. Co.
"An outstanding job...I don't think a better basic handbook of Elliott Wave theory could be written." Donald J. Hoppe, Business and Investment Analysis
"...A top-drawer reference for serious technical analysts....all the nuts and bolts necessary to do their own Elliott Wave assembly." Futures Magazine
"Chapter Three is the best description of Fibonacci numbers we've seen in print and that alone is worth the price of the book." Janes Dines, The Dines Letter
"In a third of a lifetime in this business, this was the first time I really understood Elliott, and this is certainly the first book on Elliott that I could recommend. All the methods that Prechter has used so successfully are fully described in this book." The Professional Investor
"Elliott Wave Principle is such an important, fascinating, even mind-bending work, we are convinced that it should be read by and and every serious student of the market, be they fundamentalist or technician, dealing in stocks, bonds or commodities." Market Decisions
"Even allowing for minor stumbles, that 1978 prediction must go down as the most remarkable stick market prediction of all time." James W. Cowan, Monitor Money Review
Recipient of the Technical Analysis Association's Award of Excellence

Sustainability Accounting and Integrated Reporting deals with organizations' assessment, articulation and disclosure of their social and environmental impact on various groups in society. There is increasingly an understanding that financial information does not sufficiently discharge organizational accountability to members of society who are demanding an account of the social and environmental impacts of companies' and other organizations' activities. As a result, organizations report ever more social and environmental information, and there are simultaneous movements towards providing the information in an integrated fashion, showing how social and environmental activities influence each other, members of society and the financial aims of the organization. The book Sustainability Accounting and Integrated Reporting provides a broad and comprehensive review of the field, focusing on the interconnection between different elements of these topics, often dealt with in isolation. The book examines the accounting involved in the collection and analysis of data, control processes over the data, how information is reported to external parties, and the assurance of the information being reported. The book thereby provides an overview useful to practitioners (including sustainability managers, consultants, members of the accounting profession, and other assurance providers), academics, and students.

Using data science in order to solve a problem requires a scientific mindset more than coding skills. Data Science for Supply Chain Forecasting, Second Edition contends that a true scientific method which includes experimentation, observation, and constant questioning must be applied to supply chains to achieve excellence in demand forecasting. This second edition adds more than 45 percent extra content with four new chapters including an introduction to neural networks and the forecast value added framework. Part I focuses on statistical "traditional" models, Part II, on machine learning, and the all-new Part III discusses demand forecasting process management. The various chapters focus on both forecast models and new concepts such as metrics, underfitting, overfitting, outliers, feature optimization, and external demand drivers. The book is replete with do-it-yourself sections with implementations provided in Python (and Excel for the statistical models) to show the readers how to apply these models themselves. This hands-on book, covering the entire range of forecasting-from the basics all the way to leading-edge models-will benefit supply chain practitioners, forecasters, and analysts looking to go the extra mile with demand forecasting.

An overview of the macroeconomic forecasting industry in the United States that explains and evaluates the forecasting techniques used to make predictions about various aspects of the national economy.

Sustainability Accounting and Integrated Reporting deals with organizations' assessment, articulation and disclosure of their social and environmental impact on various groups in society. There is increasingly an understanding that financial information does not sufficiently discharge organizational accountability to members of society who are demanding an account of the social and environmental impacts of companies' and other organizations' activities. As a result, organizations report ever more social and environmental information, and there are simultaneous movements towards providing the information in an integrated fashion, showing how social and environmental activities influence each other, members of society and the financial aims of the organization. The book Sustainability Accounting and Integrated Reporting provides a broad and comprehensive review of the field, focusing on the interconnection between different elements of these topics, often dealt with in isolation. The book examines the accounting involved in the collection and analysis of data, control processes over the data, how information is reported to external parties, and the assurance of the information being reported. The book thereby provides an overview useful to practitioners (including sustainability managers, consultants, members of the accounting profession, and other assurance providers), academics, and students.

Hoe gaan Suid-Afrika in 2030 lyk? En hoe gaan die volgende 15 jaar ontvou?

Sedert die bekende scenariobeplanner Frans Cronje se blitsverkoper, A Time Traveller’s Guide to Our Next Ten Years, het die land dramaties verander. Politieke spanning het verhoog, die ekonomie het in die hek geduik en al meer Suid-Afrikaners wend hulle uit frustrasie straat toe.

Wat beteken dit vir die land se toekoms? Gaan die vonk in die kruitvat vlamvat of gaan ’n reenboog sy onverwagse verskyning maak?

Economists often look at markets as given, and try to make predictions about who will do what and what will happen in these markets. Market design, by contrast, does not take markets as given; instead, it combines insights from economic and game theory together with common sense and lessons learned from empirical work and experimental analysis to aid in the design and implementation of actual markets In recent years the field has grown dramatically, partially because of the successful wave of spectrum auctions in the US and in Europe, which have been designed by a number of prominent economists, and partially because of the increase use of the Internet as the platform over which markets are designed and run There is now a large number of applications and a growing theoretical literature. The Handbook of Market Design brings together the latest research from leading experts to provide a comprehensive description of applied market design over the last two decades In particular, it surveys matching markets: environments where there is a need to match large two-sided populations to one another, such as medical residents and hospitals, law clerks and judges, or patients and kidney donors It also examines a number of applications related to electronic markets, e-commerce, and the effect of the Internet on competition between exchanges.

A Washington Post Bestseller Winner of the 2017 Axiom Business Book Award in Business Technology Amy Webb is a noted futurist who combines curiosity, skepticism, colorful storytelling, and deeply reported, real-world analysis in this essential book for understanding the future. The Signals Are Talking reveals a systemic way of evaluating new ideas bubbling up on the horizon-distinguishing what is a real trend from the merely trendy. This book helps us hear which signals are talking sense, and which are simply nonsense, so that we might know today what developments-especially those seemingly random ideas at the fringe as they converge and begin to move toward the mainstream-that have long-term consequence for tomorrow. With the methodology developed in The Signals Are Talking, we learn how to think like a futurist and answer vitally important questions: How will a technology-like artificial intelligence, machine learning, self-driving cars, biohacking, bots, and the Internet of Things-affect us personally? How will it impact our businesses and workplaces? How will it eventually change the way we live, work, play, and think-and how should we prepare for it now? Most importantly, Webb persuasively shows that the future isn't something that happens to us passively. Instead, she allows us to see ahead so that we may forecast what's to come-challenging us to create our own preferred futures.

Discussing economic theory and English economic history from the eighteenth century until the late 1970s this volume discusses among other things fixed capital and problems with the definition of the premodern economy as well as providing a chronology of 18th century business cycles.

The information age has brought greater interconnection across the world, and transformed the global marketplace. To remain competitive, business firms look for ways of improving their ability to gauge business and economic conditions around the world. At the same time, advances in technology have revolutionized the way we process information and prepare business and economic forecasts. Secondary data searches, data collection, data entry and analysis, graphical visualization, and reporting can all be accomplished with the help of computers that provide access to information not previously available. Forecasters should therefore learn the techniques and models involved, as applied in this new era. Business Forecasting: A Practical Approach is intended as an applied text for students and practitioners of forecasting who have some background in economics and statistics. The presentation is conceptual in nature with emphasis on rationale, application, and interpretation of the most commonly used forecasting techniques. The goal of this book is to provide students and managers with an overview of a broad range of techniques and an understanding of the strengths and weaknesses of each approach. It is based on the assumption that forecasting skills are best developed and retained by starting with simple models, followed by repeated exposure to real world examples. The book makes extensive use of international examples to amplify concepts.

First published in 1972, this book provides an important critical review on the theory of futures trading. B. A. Goss looks at the work and ideas of Keynes and Hicks on futures, and considers how these have also been developed by Kaldor. He discusses the evolution of the concept of hedging in the context of buying forward into the markets, and considers theories of market and individual equilibrium. Goss draws on the work of other economists in this field, including Stein, Telser, Peston and L. L. Johnson, in order to illustrate the development of theory in futures trading. The book includes fifteen figures that illustrate diagrammatically the concepts involved, and the concluding section contains a series of problems for examination by the student.

This Handbook provides up-to-date coverage of both new developments and well-established fields in the sphere of economic forecasting. The chapters are written by world experts in their respective fields, and provide authoritative yet accessible accounts of the key concepts, subject matter and techniques in a number of diverse but related areas. It covers the ways in which the availability of ever more plentiful data and computational power have been used in forecasting, either in terms of the frequency of observations, the number of variables, or the use of multiple data vintages. Greater data availability has been coupled with developments in statistical theory and economic theory to allow more elaborate and complicated models to be entertained; the volume provides explanations and critiques of these developments. These include factor models, DSGE models, restricted vector autoregressions, and non-linear models, as well as models for handling data observed at mixed frequencies, high-frequency data, multiple data vintages, and methods for forecasting when there are structural breaks, and how breaks might be forecast. Also covered are areas which are less commonly associated with economic forecasting, such as climate change, health economics, long-horizon growth forecasting, and political elections. Econometric forecasting has important contributions to make in these areas, as well as their developments informing the mainstream. In the early 21st century, climate change and the forecasting of health expenditures and population are topics of pressing importance.

Economic Forecasting provides a comprehensive overview of macroeconomic forecasting. The focus is first on a wide range of theories as well as empirical methods: business cycle analysis, time series methods, macroeconomic models, medium and long-run projections, fiscal and financial forecasts, and sectoral forecasting.