![]() |
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
|
Your cart is empty |
||
|
Books > Business & Economics > Economics > Econometrics
This is the second of three volumes surveying the state of the art
in Game Theory and its applications to many and varied fields, in
particular to economics. The chapters in the present volume are
contributed by outstanding authorities, and provide comprehensive
coverage and precise statements of the main results in each area.
The applications include empirical evidence. The following topics
are covered: communication and correlated equilibria, coalitional
games and coalition structures, utility and subjective probability,
common knowledge, bargaining, zero-sum games, differential games,
and applications of game theory to signalling, moral hazard,
search, evolutionary biology, international relations, voting
procedures, social choice, public economics, politics, and cost
allocation. This handbook will be of interest to scholars in
economics, political science, psychology, mathematics and biology.
For more information on the Handbooks in Economics series, please
see our home page on http: //www.elsevier.nl/locate/hes
Hardbound. This is the fourth volume of the Handbook of Econometrics. The Handbook is a definitive reference source and teaching aid for econometricians. It examines models, estimation theory, data analysis and field applications in econometrics. Comprehensive surveys, written by experts, discuss recent developments at a level suitable for professional use by economists, econometricians, statisticians, and in advanced graduate econometrics courses.
A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of 'deep' or 'Q', or why the code sometimes fails. This book is designed to explain the science behind reinforcement learning and optimal control in a way that is accessible to students with a background in calculus and matrix algebra. A unique focus is algorithm design to obtain the fastest possible speed of convergence for learning algorithms, along with insight into why reinforcement learning sometimes fails. Advanced stochastic process theory is avoided at the start by substituting random exploration with more intuitive deterministic probing for learning. Once these ideas are understood, it is not difficult to master techniques rooted in stochastic control. These topics are covered in the second part of the book, starting with Markov chain theory and ending with a fresh look at actor-critic methods for reinforcement learning.
Two central problems in the pure theory of economic growth are analysed in this monograph: 1) the dynamic laws governing the economic growth processes, 2) the kinematic and geometric properties of the set of solutions to the dynamic systems. With allegiance to rigor and the emphasis on the theoretical fundamentals of prototype mathematical growth models, the treatise is written in the theorem-proof style. To keep the exposition orderly and as smooth as possible, the economic analysis has been separated from the purely mathematical issues, and hence the monograph is organized in two books. Regarding the scope and content of the two books, an "Introduction and Over view" has been prepared to offer both motivation and a brief account. The introduc tion is especially designed to give a recapitulation of the mathematical theory and results presented in Book II, which are used as the unifying mathematical framework in the analysis and exposition of the different economic growth models in Book I. Economists would probably prefer to go directly to Book I and proceed by consult ing the mathematical theorems of Book II in confirming the economic theorems in Book I. Thereby, both the independence and interdependence of the economic and mathematical argumentations are respected."
In recent years, as part of the increasing "informationization" of industry and the economy, enterprises have been accumulating vast amounts of detailed data such as high-frequency transaction data in nancial markets and point-of-sale information onindividualitems in theretail sector. Similarly,vast amountsof data arenow ava- able on business networks based on inter rm transactions and shareholdings. In the past, these types of information were studied only by economists and management scholars. More recently, however, researchers from other elds, such as physics, mathematics, and information sciences, have become interested in this kind of data and, based on novel empirical approaches to searching for regularities and "laws" akin to those in the natural sciences, have produced intriguing results. This book is the proceedings of the international conference THICCAPFA7 that was titled "New Approaches to the Analysis of Large-Scale Business and E- nomic Data," held in Tokyo, March 1-5, 2009. The letters THIC denote the Tokyo Tech (Tokyo Institute of Technology)-Hitotsubashi Interdisciplinary Conference. The conference series, titled APFA (Applications of Physics in Financial Analysis), focuses on the analysis of large-scale economic data. It has traditionally brought physicists and economists together to exchange viewpoints and experience (APFA1 in Dublin 1999, APFA2 in Liege ` 2000, APFA3 in London 2001, APFA4 in Warsaw 2003, APFA5 in Torino 2006, and APFA6 in Lisbon 2007). The aim of the conf- ence is to establish fundamental analytical techniques and data collection methods, taking into account the results from a variety of academic disciplines.
This book presents a theory of the general dynamic economic equilibrium which is a development of the static theory of Walras and Pareto. The work has built up an analytical model of the effective, current movement of an economic system, founded on the logic of the individual changing programmes - a basis for finding out the laws of all types of endogenous and exogenous movements of the economy. Indeed, the model can be used in the treatment of the typical problems of dynamic economics, by means of the author's method of variational dynamic analysis.
Each chapter of Macroeconometrics is written by respected econometricians in order to provide useful information and perspectives for those who wish to apply econometrics in macroeconomics. The chapters are all written with clear methodological perspectives, making the virtues and limitations of particular econometric approaches accessible to a general readership familiar with applied macroeconomics. The real tensions in macroeconometrics are revealed by the critical comments from different econometricians, having an alternative perspective, which follow each chapter.
Tax policy questions may relate to specific problems, concerning perhaps the revenue implications of a particular tax, or they may involve an extensive analysis of the cost and redistributive effects of many taxes and transfer payments. This book is concerned with the ways in which tax policy design can be enhanced by the use of a behavioural tax microsimulation model capable of evaluating the effects of planned or actual tax reforms. An advantage of such a large-scale tax simulation model, which reflects the heterogeneity of the population and captures the details of the tax structure, is that it can examine detailed practical policy questions and can provide direct inputs into policy debates. After introducing behavioural models, the authors discuss the role of means testing, several hypothetical policy reforms, actual and proposed reforms and recent modelling developments.Tax Policy Design and Behavioural Microsimulation Modelling will be of interest to academics and researchers of economics, econometrics and public finance. It will also be useful reading for policymakers responsible for the formulation of taxation.
This book collects contributions written by well-known
statisticians and econometricians to acknowledge Leopold Simar s
far-reaching scientific impact on Statistics and Econometrics
throughout his career. The papers contained herein were presented
at a conference in This book collects contributions written by well-known
statisticians and econometricians to acknowledge Leopold Simar s
far-reaching scientific impact on Statistics and Econometrics
throughout his career. The papers contained herein were presented
at a conference in
The book addresses the problem of calculation of d-dimensional integrals (conditional expectations) in filter problems. It develops new methods of deterministic numerical integration, which can be used to speed up and stabilize filter algorithms. With the help of these methods, better estimates and predictions of latent variables are made possible in the fields of economics, engineering and physics. The resulting procedures are tested within four detailed simulation studies.
Nonlinear Time Series Analysis of Economic and Financial Data provides an examination of the flourishing interest that has developed in this area over the past decade. The constant theme throughout this work is that standard linear time series tools leave unexamined and unexploited economically significant features in frequently used data sets. The book comprises original contributions written by specialists in the field, and offers a combination of both applied and methodological papers. It will be useful to both seasoned veterans of nonlinear time series analysis and those searching for an informative panoramic look at front-line developments in the area.
Features Self-contained book suitable for graduate students and post-doctoral fellows in financial mathematics and data science, as well as for practitioners working in the financial industry who deal with big data All results are presented visually to aid in understanding of concepts.
"Economics, Econometrics and The LINK" is a collection of scholarly contributions by leading scholars from the U.S., Europe, and Asia dealing with issues of economics and econometrics. The book contains a learned and erudite exposition of macroeconomics and macroeconomic modeling including national, sectoral, issues exchange rate, environment, international price competitiveness and international linkages. It presents a comprehensive perspective of econometric modeling - country-specific, sector-specific and issue-specific. The volume is a tribute to the work of Lawrence R. Klein from all his friends who share a common agenda, viz. to relate the study of economics to the studies of mankind.
The basic characteristic of Modern Linear and Nonlinear Econometrics is that it presents a unified approach of modern linear and nonlinear econometrics in a concise and intuitive way. It covers four major parts of modern econometrics: linear and nonlinear estimation and testing, time series analysis, models with categorical and limited dependent variables, and, finally, a thorough analysis of linear and nonlinear panel data modeling. Distinctive features of this handbook are: -A unified approach of both linear and nonlinear econometrics, with an integration of the theory and the practice in modern econometrics. Emphasis on sound theoretical and empirical relevance and intuition. Focus on econometric and statistical methods for the analysis of linear and nonlinear processes in economics and finance, including computational methods and numerical tools. -Completely worked out empirical illustrations are provided throughout, the macroeconomic and microeconomic (household and firm level) data sets of which are available from the internet; these empirical illustrations are taken from finance (e.g. CAPM and derivatives), international economics (e.g. exchange rates), innovation economics (e.g. patenting), business cycle analysis, monetary economics, housing economics, labor and educational economics (e.g. demand for teachers according to gender) and many others. -Exercises are added to the chapters, with a focus on the interpretation of results; several of these exercises involve the use of actual data that are typical for current empirical work and that are made available on the internet. What is also distinguishable in Modern Linear and Nonlinear Econometrics is that everymajor topic has a number of examples, exercises or case studies. By this learning by doing' method the intention is to prepare the reader to be able to design, develop and successfully finish his or her own research and/or solve real world problems.
Jean-Jacques Rousseau wrote in the Preface to his famous Discourse on Inequality that "I consider the subject of the following discourse as one of the most interesting questions philosophy can propose, and unhappily for us, one of the most thorny that philosophers can have to solve. For how shall we know the source of inequality between men, if we do not begin by knowing mankind?" (Rousseau, 1754). This citation of Rousseau appears in an article in Spanish where Dagum (2001), in the memory of whom this book is published, also cites Socrates who said that the only useful knowledge is that which makes us better and Seneca who wrote that knowing what a straight line is, is not important if we do not know what rectitude is. These references are indeed a good illustration of Dagum's vast knowledge, which was clearly not limited to the ?eld of Economics. For Camilo the ?rst part of Rousseau's citation certainly justi?ed his interest in the ?eld of inequality which was at the centre of his scienti?c preoccupations. It should however be stressed that for Camilo the second part of the citation represented a "solid argument in favor of giving macroeconomic foundations to microeconomic behavior" (Dagum, 2001). More precisely, "individualism and methodological holism complete each other in contributing to the explanation of individual and social behavior" (Dagum, 2001).
This book provides a better understanding of how intellectual
property can improve economic and business performance. It focuses
on three particular issues: the valuation of patents, the transfer
of knowledge, and the management of innovation and intellectual
property. Scholars from leading worldwide institutions use
quantitative methods and advanced survey techniques to explore the
complex relationship between patents, innovation, venture capital
and scientific research. The book focuses on three broad issues:
the valuation of patents, the transfer of knowledge, and the
management of innovation and intellectual property.
During 1985-86, the acquisition editor for the humanities and social sciences division of Kluwer Academic Publishers in the Netherlands visited the University of Horida (where I was also visiting while on sabbatical leave from Wilfrid Laurier University as the McKethan-Matherly Senior Research Fellow) to discuss publishing plans of the faculty. He expressed a keen interest in publishing the proceedings of the conference of the Canadian Econometric Study Group (CESG) that was to be held the following year at WLU. This volume is the end product of his interest, endurance, and persistence. But for his persistence I would have given up on th~ project Most of the papers (though not all) included in this volume are based on presentations at CESG conferences. In some cases scholars were invited to contribute to this volume where their research complimented those presented at these conferences even though they were not conference participants. Since papers selected for presentation at the CESG conferences are generally the finished product of scholarly research and often under submission to refereed journals, it was not possible to publish the conference proceedings in their entirety. Accordingly it was decided, in consultation with the publisher, to invite a select list of authors to submit significant extensions of the papers they presented at the CESG conferences for inclusion in this volume. The editor wishes to express gratitude to all those authors who submitted their papers for evaluation by anonymous referees and for making revisions to conform to our editorial process.
This book aims at meeting the growing demand in the field by introducing the basic spatial econometrics methodologies to a wide variety of researchers. It provides a practical guide that illustrates the potential of spatial econometric modelling, discusses problems and solutions and interprets empirical results.
This book contains contributions from friends of Ben Stevens,
remembering and celebrating his life and his work. Following his
untimely death, a set of special sessions were organized for the
program of the November 1998 meetings of the Regional Science
Association International, held in Sante Fe, New Mexico.
This book provides detailed empirical analysis of countries in Asia to examine various dynamic models that incorporate the impact of technology and innovations on the industry evolution and overall economic growth.
The subject theory is important in finance, economics, investment strategies, health sciences, environment, industrial engineering, etc.
The papers collected in this volume demonstrate how different kinds of analytical approach can be used to anticipate the economic repercussions of systematic reduction of military spending. This volume will be of interest to economists; scholars in peace studies, international relations and such like; and officials of national governments and international bodies dealing with disarmament issues and with economic restructuring.
The Handbook of Mathematical Economics aims to provide a definitive source, reference, and teaching supplement for the field of mathematical economics. It surveys, as of the late 1970's the state of the art of mathematical economics. This is a constantly developing field and all authors were invited to review and to appraise the current status and recent developments in their presentations. In addition to its use as a reference, it is intended that this Handbook will assist researchers and students working in one branch of mathematical economics to become acquainted with other branches of this field. The emphasis of this fourth volume of the Handbook of Mathematical Economics is on choice under uncertainty, general equilibrium analysis under conditions of uncertainty, economies with an infinite number of consumers or commodities, and dynamical systems. The book thus reflects some of the ideas that have been most influential in mathematical economics since the appearance of the first three volumes of the Handbook. Researchers, students, economists and mathematicians will all find this Handbook to be an indispensable reference source. It surveys the entire field of mathematical economics, critically reviewing recent developments. The chapters (which can be read independently) are written at an advanced level suitable for professional, teaching and graduate-level use. For more information on the Handbooks in Economics series,
please see our home page on http:
//www.elsevier.nl/locate/hes
The analysis ofwhat might be called "dynamic nonlinearity" in time series has its roots in the pioneering work ofBrillinger (1965) - who first pointed out how the bispectrum and higher order polyspectra could, in principle, be used to test for nonlinear serial dependence - and in Subba Rao and Gabr (1980) and Hinich (1982) who each showed how Brillinger's insight could be translated into a statistical test. Hinich's test, because ittakes advantage ofthe large sample statisticalpropertiesofthe bispectral estimates became the first usable statistical test for nonlinear serial dependence. We are forever grateful to Mel Hinich for getting us involved at that time in this fascinating and fruitful endeavor. With help from Mel (sometimes as amentor, sometimes as acollaborator) we developed and applied this bispectral test in the ensuing period. The first application ofthe test was to daily stock returns {Hinich and Patterson (1982, 1985)} yielding the important discovery of substantial nonlinear serial dependence in returns, over and above the weak linear serial dependence that had been previously observed. The original manuscript met with resistance from finance journals, no doubt because finance academics were reluctant to recognize the importance of distinguishing between serial correlation and nonlinear serial dependence. In Ashley, Patterson and Hinich (1986) we examined the power and sizeofthe test in finite samples.
This book is a macro-study of Indian business communities in Singapore through different phases of their growth since colonial times. It goes beyond the conventional labour-history approach to study Indian immigrants to Southeast Asia, both in terms of themselves and their connections with the peoples' movements. It looks at how Indian business communities negotiated with others in the environments in which they found themselves and adapted to them in novel ways. It especially brings into focus the patterns and integration of the Indian networks in the large-scale transnational flows of capital, one of the least-studied aspects of the diaspora history in this part of the world. The complexities and overlapping interests of different groups of traders and businessmen form an interesting study of various aspects of these trading bodies, their methods of operation and their trade links, both within and outside Singapore. The book also charts their mobility and progress, in terms of both business and social status. The research aims to construct linear threads of linkages through generations and situate them in the larger framework and broader paradigms of business networks in Singapore. In shedding light on aspects of Indian connectivities to Southeast Asia, the narrative is particularly relevant in the context of India's economic rise. This study raises economic, social and cultural issues regarding the transition. |
You may like...
A Study of Black Hole Attack Solutions…
Elahe Fazeldehkordi, I.S. Dr. Amiri, …
Paperback
R1,277
Discovery Miles 12 770
Handbook of Research on Smart Technology…
J. Joshua Thomas, Ugo Fiore, …
Hardcover
R8,119
Discovery Miles 81 190
MIMO Wireless Networks - Channels…
Bruno Clerckx, Claude Oestges
Hardcover
R2,237
Discovery Miles 22 370
The COVID-19 Pandemic and the…
Floribert Patrick Calvain Endong
Hardcover
R5,848
Discovery Miles 58 480
|