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Books > Business & Economics > Economics > Economic forecasting
Bringing together a collection of previously published work, this book provides a discussion of major considerations relating to the construction of econometric models that work well to explain economic phenomena, predict future outcomes and be useful for policy-making. Analytical relations between dynamic econometric structural models and empirical time series MVARMA, VAR, transfer function, and univariate ARIMA models are established with important application for model-checking and model construction. The theory and applications of these procedures to a variety of econometric modeling and forecasting problems as well as Bayesian and non-Bayesian testing, shrinkage estimation and forecasting procedures are also presented and applied. Finally, attention is focused on the effects of disaggregation on forecasting precision and the Marshallian Macroeconomic Model that features demand, supply and entry equations for major sectors of economies is analysed and described. This volume will prove invaluable to professionals, academics and students alike.
Like all of us, though few so visibly, Alan Greenspan was forced by the financial crisis of 2008 to question some fundamental assumptions about risk management and economic forecasting. No one with any meaningful role in economic decision making in the world saw beforehand the storm for what it was. How had our models so utterly failed us? To answer this question, Alan Greenspan embarked on a rigorous and far-reaching multiyear examination of how Homo economicus predicts the economic future, and how it can predict it better. Economic risk is a fact of life in every realm, from home to business to government at all levels. Whether we're conscious of it or not, we make wagers on the future virtually every day, one way or another. Very often, however, we're steering by out-of-date maps, when we're not driven by factors entirely beyond our conscious control. "The Map and the Territory" is nothing less than an effort to
update our forecasting conceptual grid. It integrates the history
of economic prediction, the new work of behavioral economists, and
the fruits of the author's own remarkable career to offer a
thrillingly lucid and empirically based grounding in what we
can No map is the territory, but Greenspan's approach, grounded in his trademark rigor, wisdom, and unprecedented context, ensures that this particular map will assist in safe journeys down many different roads, traveled by individuals, businesses, and the state.
The degree to which markets incorporate information is one of the most important questions facing economists today. This book provides a fascinating study of the existence and extent of information efficiency in financial markets, with a special focus on betting markets. Betting markets are selected for study because they incorporate features highly appropriate to a study of information efficiency, in particular the fact that each bet has a well-defined end point at which its value becomes certain. Using international examples, this book reviews and analyses the issue of information efficiency in both financial and betting markets. Part I is an extensive survey of the existing literature, while Part II presents a range of readings by leading academics. Insights gained from the book will interest students of financial economics, financial market analysts, mathematicians and statisticians, and all those with a special interest in finance or gambling.
A provocative look at how and why Britain has fallen into
decline from being a superpower in 1914 to being a third world
economy in 2014 by two of Britain's leading Economists
journalists
"It's the economy, stupid," as Democratic strategist James Carville
would say. After many years of study, Ray C. Fair has found that
the state of the economy has a dominant influence on national
elections. Just in time for the 2012 presidential election, this
new edition of his classic text, "Predicting Presidential Elections
and Other Things," provides us with a look into the likely future
of our nation's political landscape--but Fair doesn't stop there.
Conventional wisdom once told us big companies are unbeatable... and eat smaller competitors for breakfast. Not anymore. These days It's Not the Big that Eat the Small... It's the FAST that Eat the Slow! Jason Jennings and Laurence Haughton discovered what separates today's icons of speed from everybody else. They asked questions like:
And studied the world's fastest companies like:
The results are in this sensational book... a national bestseller, translated all over the globe and universally praised. Would you like to make speed a competitive tool in your business? Here's your roadmap!
The guru of high technology and a man whose "slightest utterance can move stocks" (The Wall Street Journal) presents a clear, cogent vision of the future of telecommunications; what it will mean in our everyday lives; and how savvy investors can get on the bandwagon today. With his books (including the groundbreaking Microcosm), top-selling newsletter, testimony before Congress, and annual Telecosm conferences, George Gilder has become the premier prophet of bandwidth and connectivity. In this revised version of Telecosm, Gilder takes technology buffs and investors on a mind-bending tour inside the worldwide webs of glass and light, explaining how fiber optics and wireless breakthroughs are pushing new technologies and new companies to the fore.
This book, and its companion volume in the Econometric Society Monographs series (ESM number 32), present a collection of papers by Clive W. J. Granger. His contributions to economics and econometrics, many of them seminal, span more than four decades and touch on all aspects of time series analysis. The papers assembled in this volume explore topics in causality, integration and cointegration, and long memory. Those in the companion volume investigate themes in causality, integration and cointegration, and long memory. The two volumes contain the original articles as well as an introduction written by the editors.
This book, and its companion volume, present a collection of papers by Clive W.J. Granger. His contributions to economics and econometrics, many of them seminal, span more than four decades and touch on all aspects of time series analysis. The papers assembled in this volume explore topics in causality, integration and cointegration, and long memory. Those in the companion volume investigate themes in causality, integration and cointegration, and long memory. The two volumes contain the original articles as well as an introduction written by the editors.
Volume II provides an in-depth analysis of important specific issues, detailed discussion of the independence of the Bank of Israel, and an econometric study of the central banks policies. This volume also includes a historical account of the liberalization of Israel's foreign-exchange market and various issues related to the banking system, such as concentration, competition, and especially banking supervision. In one of the articles in this volume, based on a series of interviews, the top officials of the Bank of Israel present their view on the Banks policies in the various periods.
"Economic Forecasting" deals with macroeconomic forecasts from a
global point of view. The focus is first on a large 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. In addition, the book addresses the main issues
surrounding the use of forecasts (accuracy, communication
challenges) and their policy implications. A synthetic overview of
economic data and forecasting institutions is also provided.
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.
The material contained in this book originated in interrogations about modern practice in time series analysis. * Why do we use models optimized with respect to one-step ahead foreca- ing performances for applications involving multi-step ahead forecasts? * Why do we infer 'long-term' properties (unit-roots) of an unknown process from statistics essentially based on short-term one-step ahead forecasting performances of particular time series models? * Are we able to detect turning-points of trend components earlier than with traditional signal extraction procedures? The link between 'signal extraction' and the first two questions above is not immediate at first sight. Signal extraction problems are often solved by su- ably designed symmetric filters. Towards the boundaries (t = 1 or t = N) of a time series a particular symmetric filter must be approximated by asymm- ric filters. The time series literature proposes an intuitively straightforward solution for solving this problem: * Stretch the observed time series by forecasts generated by a model. * Apply the symmetric filter to the extended time series. This approach is called 'model-based'. Obviously, the forecast-horizon grows with the length of the symmetric filter. Model-identification and estimation of unknown parameters are then related to the above first two questions. One may further ask, if this approximation problem and the way it is solved by model-based approaches are important topics for practical purposes? Consider some 'prominent' estimation problems: * The determination of the seasonally adjusted actual unemployment rate.
In these three essays, Professor Granger explains the process of constructing and evaluating an empirical model. Drawing on a wide range of cases and vignettes from economics, finance, politics and environment economics, as well as from art, literature, and the entertainment industry, Professor Granger combines rigour with intuition to provide a unique and entertaining insight into one of the most important subjects in modern economics. Chapter 1 deals with Specification. The process of specifying a model is discussed using deforestation in the Amazon region of Brazil as an illustration. Chapter 2 considers Evaluation, and argues that insufficent evaluation is undertaken by economists, and that models should be evaluated in terms of the quality of their output. In Chapter 3, the question of how to evaluate forecasts is considered at several levels of increasing depth and using a more sophisticated, technical approach than in the earlier two chapters.
This book provides a formal analysis of the models, procedures, and measures of economic forecasting with a view to improving forecasting practice. David Hendry and Michael Clements base the analyses on assumptions pertinent to the economies to be forecast, viz. a non-constant, evolving economic system, and econometric models whose form and structure are unknown a priori. The authors find that conclusions which can be established formally for constant-parameter stationary processes and correctly-specified models often do not hold when unrealistic assumptions are relaxed. Despite the difficulty of proceeding formally when models are mis-specified in unknown ways for non-stationary processes that are subject to structural breaks, Hendry and Clements show that significant insights can be gleaned. For example, a formal taxonomy of forecasting errors can be developed, the role of causal information clarified, intercept corrections re-established as a method for achieving robustness against forms of structural change, and measures of forecast accuracy re-interpreted.
This is a powerful new approach to marketing that will multiply the impact of every dollar invested. Comprehensive research by Doug Hall details marketing initiatives that will deliver sustained success. What makes this book's teaching more reliable and reproducible than others is its foundation on hard data reflecting customer, industrial, and business-to-business marketing, not "guru opinions." After reading "Jump Start Your Marketing Brain, " readers will know how to more effectively and efficiently market and sell their brand, their services, their products, and even themselves!
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.
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.
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.
We live in a world where capital is free to move. Increasingly this determines the pattern of international growth. Savings are invested in the country yielding the highest return, thus adding to its stock of capital. This development is espe- cially true of common markets such as the European Union, which are based on free trade and financial openness. The present monograph deals with internatio- nal growth, featuring the dynamics of foreign debt and domestic capital. I had many helpful talks with my colleagues at Hamburg: Michael Schmid (now at Bamberg), Franco Reither, Wolf Schlifer, Thomas Straubhaar and Johannes Hackmann. In addition, Michael Brauninger and Philipp Lichtenauer carefully discussed with me all parts of the manuscript. Last but not least, Doris Ehrich did the secretarial work as excellently as ever. I wish to thank all of them. Contents INTRODUCTION 3 BRIEF SURVEY OF THE LITERATURE 9 SMALL OPEN ECONOMY 15 CHAPTER I. 1. Solow Model 15 1.1. Foreign Assets 15 1.1.1. Steady State 15 Process of Adjustment 25 1.1.2.
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.
1. Introduction and overview Until still few years ago, economic growth theory (going back to Solow, 1956; for an introduction cf. Burmeister and Dobell, 1970) predicted convergence of both growth rates and level of per capita income of economies which share identical preferences, technologies and same population growth rates, independently of initial conditions. Countries with a low capital stock grow faster than those with a higher capital stock, until, in the long-run, they all converge to a common constant growth rate. This prediction is due to the way how growth is "explained" in models of this kind. Growth of output per capita resulted, in the simplest model, from an exogenous growth oflabour productivity (see e. g. Sala-i-Martin, 1990; Grossman and Helpman, 1991a, ch. 2). Si 1ce this increase of productivity is exogenously given, the model itselfdoes not give any explanation ofits source. The prediction ofconvergence ofgrowth rates, itself, is very doubtful and observations show, that on an international level either convergence is not given at all, or that it takes a very long time. The literature of the "new" theory of growth provides a rich variety of models whose theoretical implications range from divergence to convergence and thus offers much better working tools in order to analyze real world observations. These models (starting with Romer, 1986 and Lucas, 1988) explain growth of GNP or per capita income from within the model by includingexternal effects such as a public stock ofknowledge capital (e. g.
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. |
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