"The key to investment success, if there be just one, is the ability to remain emotionally detached. That detachment is only achieved through confidence. That confidence is only arrived at through knowledge. That knowledge is arrived at through thought, study, hard work, and experience. In this book, I will try to impart the knowledge and experience I have acquired over the last thirty years." — Richard Arms from the Introduction to Trading Without Fear

Richard Arms' revolutionary theories have changed the way investors perceive the market. His expertise in the field of technical analysis has had significant impact, evidenced by the fact that his Equivolume charting system is now part of the most popular stock and futures software, and his Arms Index—also known as the Short-Term Trading Index or TRIN—has become one of the most important technical tools of Wall Street.

In Trading Without Fear, Richard Arms shows investors how to make sound investment decisions "without succumbing to those two very powerful emotions": fear and greed. Learning to control those emotions in ourselves—while recognizing them in others—empowers us to capitalize on that knowledge. The result is informed investment choices, tempered by caution, and fueled by confidence and a strong desire to succeed.

Arms' cogent examination of leading strategies will enable the average investor to master successfully what is widely regarded as one of the most reliable methods of long-term market forecasting: volume analysis. Volume analysis is rooted in a seminal Arms theory—that volume plays as significant a role in understanding the markets as price movement. And volume is affected by the emotions at work in the marketplace. "The market is very complex. It is pushed one way or the other in varying degrees as a result of individual decisions of millions of participants. Some of those partici-pants are acting logically and others are acting emotionally...it is the volume which is giving us the real picture of the emotions in the marketplace. Price tells us what is happening, but volume tells us how it is happening."

Trading Without Fear offers investors a trading discipline with in-depth coverage of:

• Technical vs. fundamental analysis
• Equivolume charting and the importance of the "Power Box"
• Ease of Movement and Volume Adjusted Moving Averages with new information not available anywhere else
• Market tides—VAMA and cycles
• The mechanics of buying
• Selling short—how and when to do it
• Closing out short positions

With his succinct analytical skills and unique approach, Richard Arms makes sophisticated investment strategies accessible to everyday, individual investors.

Trading Without Fear

"Mr. Arms elegantly combines many different aspects of volume analysis in this book. Volume is related to stock market breadth via the Arms Index, and to price via Equivolume charting. Volume Weighted Moving Averages and the Ease of Movement Indicator complete the picture. If you are interested in how to quantify the driving force of the market, this book is for you." — John Bollinger, CFA, CMT President, Bollinger Capital Management Editor, The Capital Growth Letter

"Analysts and traders will acquire confidence and control fear through carefully studying and applying the unique insights available in Trading Without Fear. This book sums up much of the inventive genius of Richard Arms, the 1995 winner of the coveted Market Technicians Award. The famed Arms Index and other unique indicators including Equivolume, Ease of Movement and Volume Cyclicacity are presented in clear terms and in a logical progression filled with penetrating insights into how to profit in the market." — Henry O. Pruden, PhD Professor, Golden Gate University Executive Director, Institute for Technical Market Analysts

China is historically famous for its high demographic dividend and its huge working population, and this has driven tremendous economic growth over the past few decades. However, that population has begun to shrink and the Lewis turning point whereby surplus rural population has been absorbed into manufacturing is also approaching, leading to great change in the Chinese labor market. Will this negatively affect China's economic growth? Can the "Middle-Income Trap" be avoided? What reforms should be made on the labor supply side? This book tackles these key questions. This book is a collection of 14 papers presenting the author's observations, analysis, and opinions of China's long-term economic development from the demographic perspective, while analysing real economic problems from the past and including policy recommendations. It provides a critical reference for scholars and students interested in Chinese economic development and demographic perspectives on economic development.

Summarizes the latest developments and techniques in the field and highlights areas such as sample surveys, nonparametric analysis, hypothesis testing, time series analysis, Bayesian inference, and distribution theory for current applications in statistics, economics, medicine, biology, engineering, sociology, psychology, and information technology. Containing more than 800 contemporary references to facilitate further study, the Handbook of Applied Econometrics and Statistical Inference is an in-depth guide for applied statisticians, econometricians, economists, sociologists, psychologists, data analysts, biometricians, medical researchers, and upper-level undergraduate and graduate-level students in these disciplines.

Part of a series which focuses on advances in futures and options research, this volume discusses a variety of topics in the field.

This book concentrates on the five biggest recessions in the twentieth century. It focuses on the UK, but makes numerous comparisons to recessions in other countries. Two major recessions are identified in the interwar period; three more in the years 1973-1995. The main conclusion reached is that major recessions reflect abrupt fallings off in demand not supply, and can be explained by identifiable demand shocks. The concluding chapter offers advice on how to avoid future severe recessions: a combination of prudent policy-making beforehand and special measures in the downturn and recovery.

In 1950 the world population was 2.5 billion; fifty years later there are over 6 billion people. The demographic of this explosion has essentially occurred in the developing areas of the world. The key to understanding many contemporary development problems that have arisen from this rapid growth is in understanding the relationships between population and the economy.
This book offers an analysis of such relationships, encompassing a review of the major positions in the academic debate.
Population, Economic Growth and Agriculture in Less Developed Countries will serve as a useful introduction and reference tool for students, academics and all with an interest in the population debate and economics.

eBook available with sample pages: 0203103106

In the completely revised second edition of this highly praised book, Susumu Yabuki, one of Japan's leading China experts, and Stephen M. Harner, A Shanghai-based investment banker, present a comprehensive and accessible analysis of China's political economy.The authors provide dozens of easy-to-grasp and up-to-date graphs, charts, tables, and maps to illustrate the reality of China, as they explain and comment on political, economic, financial and trade trends.Placing issues in historical perspective, and with a view to trends into the twenty-first century, the authors survey the realities of China's area and population, agriculture, energy needs, pollution, industrial structure, township and village enterprises, state-owned enterprise reform, unemployment, economic regions, foreign investment, state finances, fiscal and monetary policy, China's financial institutions, foreign financial institutions in China, stock markets, international finance, balance of payments and exchange rate policy, corporate finance, the role of Shanghai, government institution reform, foreign trade, the roles of Hong Kong and Taiwan, U.S.-China relations, and Japan-China relations.Useful as an introduction to China's economics, finance, and politics for students, and as a desktop reference volume for corporations, organizations, and individuals considering doing business in China, this unique study fills a genuine gap in the literature.

Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.

This book offers a wide-ranging overview of the state of labour market forecasting in selected OECD countries. Besides presenting forecasting models, the contributions provide an introduction to past experiences of forecasting, highlight the requirements for building appropriate data sets and present the most up-to-date forecasts available. In most cases the forecasts project mismatches in the labour market as they are likely to occur in the coming years with respect to occupational groups, qualifications and employment in specific sectors. The authors demonstrate how these insights might be used to help reduce employment risks both for the individual worker and the national labour market as a whole. The country examples also show how information on labour market trends is disseminated and used by various actors, such as policymakers, firms and individuals. In a world of rapid structural change, the results of the research presented in this book could help cushion the impact of potential shocks from future mismatches and skill shortages in the job market. Policymakers at the supranational, national and regional level, and academics in the fields of labour market theory and policy can all draw valuable information from this insightful study.

A discussion of various aspects of dynamic behavior of empirical macroeconomic, and in particular, macroeconometric models, is presented in this book. The book addresses in depth several theoretical and practical aspects concerning the modeling and analysis of long-run equilibrium behavior, adjustment dynamics and stability. Tools are developed to identify and interpret the main determinants of the dynamics of models. The tools involve, among others, error-correction mechanisms, eigenvalue analysis, feedback closure rules, graph theory, learning behavior, steady-state analysis, and stochastic simulation. Their usefulness is demonstrated by interesting applications to a number of well-known national and multi-national models.

Smart Economic Decision-Making in a Complex World is a fresh and reality-based perspective on decision-making with significant implications for analysis, self-understanding and policy. The book examines the conditions under which smart people generate outcomes that improve their place of work, their household and society. Within this work, the curious reader will find interesting open questions on many fascinating areas of current economic debate, including, the role of realistic assumptions robust model building, understanding how and when non-neoclassical behavior is best practice, why the assumption of smart decision-makers is best to understand and explain our economies and societies, and under what conditions individuals can make the best possible choices for themselves and society at large. Additional sections cover when and how efficiency is achieved, why inefficiencies can persist, when and how consumer welfare is maximized, and what benchmarks should be used to determine efficiency and rationality.

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.

Fad-Free Strategy provides a ground-breaking approach to making better business strategy decisions: more efficient, open to out-of-the-box opportunities and evidence-based. Most strategy books focus on Grand Strategy, the process that leads to high-level recommendations or, more accurately, hypotheses about where and how to compete. While this book briefly covers critical Grand Strategy practices, it deep dives into Operational Strategy, the process of validation, adaptation and possible rejection of those hypotheses. Operational Strategy is based on an in-depth understanding of customer preferences and anticipating the choices they make. Those choices rather than managers' ambitions determine whether a strategy will generate the aspired financial results. The book explains, by means of detailed real-world cases across industries, how to generate validated solutions to any strategic problem such as: how to enter successfully into new markets, either as an innovator or as a latecomer? How to defend one's position against aggressive new entrants? Or how to sustain margins when price is the only thing customers seem to care about? This remarkable book contains expert advice from accomplished strategic advisors and thought leaders Daniel Deneffe and Herman Vantrappen. Fad Free Strategy will be a useful tool for smart business executives at mainstream companies who are disappointed with strategy fads and simplistic solutions based on cherry-picked, anecdotal evidence from today's hero companies. It will also appeal to economics faculty members teaching graduate courses in business strategy who are looking for an economics-based strategy textbook that is both rigorous and comprehensive. The book's core ideas have been taught successfully in continuing and executive education programs at Harvard University and Hult International Business School.

Global construction data is vital for contractors, governments, international organisations, policy makers, academic researchers and statisticians. As the global population of the world expands, the sustainability of the built environment raises the political agenda and the need to manage infrastructure and buildings in both urban and rural contexts becomes ever more pressing. How much more can the built environment grow and how can it be managed sustainably? This edited volume addresses how we can find a possible way through the inconsistencies between national construction data sets to devise a consistent approach to national construction data to further the global sustainability agenda and inform policy making. This search begins in Part I, which looks at the methods and definitions used in construction statistics in different countries. Part II considers examples of different types of construction data from the cost of materials, measuring work on high rise buildings and existing stock. In Part III, the authors consider construction data internationally, beginning with the problem of comparing data in different countries using exchange rates and purchasing power parities (PPPs), comparing innovation processes in different countries and looking at the provision of building design internationally. In Part IV, the international theme is continued by comparing accounting practices and company performance in different countries and concludes with an international comparison of construction industries. This book raises awareness of the significance of the construction industry globally and the importance of data to measure it. It informs the discussion of the best ways of handling the consequences of policies affecting the built environment and the effect of the built environment on the rest of the economy and society. It is essential reading for international economists, construction industry consultants, policy makers, construction statisticians and academics.

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.

This book provides a comprehensive description of the state-of-the-art in modelling global and national economies. It introduces the long-run structural approach to modelling that can be readily adopted for use in understanding how economies work, and in generating forecasts for decision- and policy-makers. The book contains a thorough description of recent developments in macroeconomics and econometrics, which should be of interest to advanced students and researchers, but is also written to be accessible and helpful to practitioners in government and the private sector. The long-run structural approach is illustrated with various global and national examples, including a step-by-step description of the development and use of a model of the UK economy. Throughout, the book emphasises the use of macroeconometric modelling in the real world and is written in a way that ensures the techniques illustrated can be replicated or applied in new contexts. The transparency and pragmatism of the modelling approach used within this book will be attractive to practitioners who need manageable and interpretable models to answer specific questions.

Strategic foresight is discipline that organizations adopt to gather, interpret, manage information about the future environment they plan to operate in. This book introduces the concept of strategic foresight and advocates a holistic and systemic foresight approach comprising five phases that are suitable for organizations in the public and private sectors. Using real-life cases as practical examples, the book demonstrates how organizations can apply a range of foresight methods and resources across the phases from intelligence to implementation. The book offers an opportunity to learn by all key stakeholders. It enhances the understanding of the National Research Organization's Foresight exercise (as the complex social phenomenon) in its context. The case study of the National Research Organisation provides lessons and insights that can improve both the theoretical and practical implementation of the Foresight Exercise. Dr Mlungisi Cele Acting Head: National Advisory Council on Innovation Department of Science and Technology, Republic of South Africa Foresight methodologies have been widely spreading among business and research organizations worldwide during the last decades. The weakest point of many forward-looking activities so far was the lack of their practical use. The books shows, on a number of cases, how a Foresight study, being wisely designed and implemented, can become a useful navigation tool for increasing competitiveness in the fast changing environment. Dr Alexander Sokolov Professor, HSE National Research University, Russia Director, Institute for Statistical Studies and Economics of Knowledge / International Research and Educational Foresight Centre Very useful tool to describe how organizations assess the future and formulate strategic plans using a systemic foresight methodology Ibon Zugasti Managing Director in PROSPEKTIKER and Chair of the Millennium Project Node in Spain A comprehensive source of knowledge on complex issues of technology foresight process, from conception to commercialization of key technologies, made easy to understand and useful for aspiring futurists seeking to learn more about the matters at hand. Dr Surachai Sathitkunarat Executive Director, APEC Center for Technology Foresight (APEC CTF) Assistant to the President Office of National Higher Education, Science, Research and Innovation Policy Council (NXPO) Thailand This book provides a very good coverage of the end-to-end methodology for technology-based innovation through the use of diverse and relevant business use cases. Very often, books on this theme only expound the approaches. Sarah goes beyond in sharing the pitfalls and challenges during the different stages of the systemic foresight methodology so that readers can learn and avoid the mistakes that other companies made. The emphasis on open innovation and intellectual property management is valuable as many organizations fail to deliver the vision due to insufficient attention on these two aspects. A must read if you wish to master strategic foresight. Dr Terence Hung Chief, Future Intelligence Technologies Rolls-Royce Singapore Pte Ltd Why do people want to know the future? People want to use budget efficiently or don't want to waste time? Aside from those who see the future, like fortune tellers, how do we make the future? Foresight is known as a method of creating the future in a way that many people has been using. So how is it different between Forecast and Foresight? This book will help answer that. Dr Kuniko Urashima Deputy Director of Foresight Center National Institute of Science and Technology Policy (NISTEP), Japan .

Alexa is Stealing Your Job is a guided tour of where the world has been with artificial intelligence and how it affects the future of work. Artificial intelligence is taking over. Ask Alexa to call a client or confirm your schedule for the day and she does just that immediately. Ask her a question, give her a command, or just share a joke together, and she becomes your new best employee. A conversation with Alexa can nix the need for millions of front-line workers. Today's companies must keep up with artificial intelligence to keep their customers, and today's employees must find new ways to provide value to their companies if they want to keep their job. Author and speaker Rhonda Scharf shows readers how a willingness to adapt to the new normal keeps both businesses and their employees relevant in these changing times. Alexa Is Stealing Your Job reveals what the future entails by diving into the world of AI and exploring how it impacts lives, careers, and the future.

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 definitive book on the Chinese Communist Party's extensive campaign over the last two decades to take the pole position of global dominance.

For several decades China's ascendancy has been supported by an astonishingly broad and deep portfolio of quiet coercion. Stories of the Chinese Communist Party's authoritarian reach are breathtaking - the gagging of sports stars and huge Western brands; Hollywood self-censorship; infrastructure deals in exchange for political loyalty in multilateral organizations; and of course - communications firms. But these are just the most visible examples.

Beijing Rules exposes the armoury of strategies with which China has exploited Western weakness to position itself as leader in the game of nations: tying market access to political acquiescence; punitive tariffs; online disinformation operations; use of private companies to spy on global users; leveraging vaccines for geopolitical gain; and the crushing of democracy in Hong Kong. With these weapons and dextrous manoeuvrings during the global pandemic, China positioned itself to take its place at the apex of world powers.

Bethany Allen, an internationally recognized investigator into China's covert power, shows Western institutions have bowed to and even enabled Beijing's coercion. As we come reeling out of a global pandemic and eyes are on a new war in Europe, this revealing analysis sounds the alarm about the most significant shift in the new world order, and what we must do to prevent the loss of freedoms we take for granted.

THE WILD INSIDE STORY OF CRYPTO'S GET-RICH-QUICK UNDERBELLY

Nat Eliason had six months to make as much money as possible before his first child was born.
So, he turned to where countless others did in 2021: crypto.

Within a year, he'd made millions writing code holding hundreds of millions of dollars of other people's money. He'd been hacked. He'd sold a picture of a monkey for two hundred grand. He'd become an influencer, speaking at conferences, and writing a weekly newsletter to tens of thousands of fans. Best of all, Nat had amassed a small fortune. But how much of this money was even real? And how many times can someone double down before they eventually lose everything?

Crypto Confidential is Nat's unfiltered, insider's account of the hyperactive, hyper-speculative, hyper-addictive, nearly unregulated, completely insane world being built on the blockchain. A story of getting rich, going broke, scamming and getting scammed - and how we can all be more educated participants during the inevitable next bull run.

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.

Applied Econometrics: A Practical Guide is an extremely user-friendly and application-focused book on econometrics. Unlike many econometrics textbooks which are heavily theoretical on abstractions, this book is perfect for beginners and promises simplicity and practicality to the understanding of econometric models. Written in an easy-to-read manner, the book begins with hypothesis testing and moves forth to simple and multiple regression models. It also includes advanced topics:

Endogeneity and Two-stage Least Squares

Simultaneous Equations Models

Panel Data Models

Qualitative and Limited Dependent Variable Models

Vector Autoregressive (VAR) Models

Autocorrelation and ARCH/GARCH Models

Unit Root and Cointegration

The book also illustrates the use of computer software (EViews, SAS and R) for economic estimating and modeling. Its practical applications make the book an instrumental, go-to guide for solid foundation in the fundamentals of econometrics. In addition, this book includes excerpts from relevant articles published in top-tier academic journals. This integration of published articles helps the readers to understand how econometric models are applied to real-world use cases.

Table of Contents

1. Review of Estimation and Hypothesis Tests

2. Simple Linear Regression Models

3. Multiple Linear Regression Models

4. Dummy Explanatory Variables

5. More on Multiple Regression Analysis

6. Endogeneity and Two-Stage Least Squares Estimation

7. Models for Panel Data

8. Simultaneous Equations Models

9. Vector Autoregressive (VAR) Models

10. Autocorrelation and ARCH/GARCH

11. Unit Root, Cointegration and Error Correction Model

12. Qualitative and Limited Dependent Variable Models