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Books in Econometric modeling

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A Guide to Econometric Methods for the Energy-Growth Nexus

  • 1st Edition
  • November 10, 2020
  • Angeliki Menegaki
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 9 0 3 9 - 5
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 9 0 4 0 - 1
A Guide to Econometric Methods for the Energy-Growth Nexus presents, explains and compares all the available econometrics methods pertinent to the energy-growth nexus. Chapters cover methods and applications, starting with older econometric methods and moving toward new ones. Each chapter presents the method and facts about its applications, providing step-by-step explanations about the ways the method meets the demands of the field. In addition, applied case studies and practical research steps are included to enhance the learning process. By touching on all relevant econometric methods for the energy-growth nexus, this book gives energy-growth researchers and students all they need to tackle the subject matter.

The Economics and Econometrics of the Energy-Growth Nexus

  • 1st Edition
  • March 22, 2018
  • Angeliki Menegaki
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 2 7 4 6 - 9
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 2 7 4 7 - 6
The Economics and Econometrics of the Energy-Growth Nexus recognizes that research in the energy-growth nexus field is heterogeneous and controversial. To make studies in the field as comparable as possible, chapters cover aggregate energy and disaggregate energy consumption and single country and multiple country analysis. As a foundational resource that helps researchers answer fundamental questions about their energy-growth projects, it combines theory and practice to classify and summarize the literature and explain the econometrics of the energy-growth nexus. The book provides order and guidance, enabling researchers to feel confident that they are adhering to widely accepted assumptions and procedures.

Introduction to Agent-Based Economics

  • 1st Edition
  • August 3, 2017
  • Mauro Gallegati + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 0 3 8 3 4 - 5
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 3 9 0 3 - 8
Introduction to Agent-Based Economics describes the principal elements of agent-based computational economics (ACE). It illustrates ACE’s theoretical foundations, which are rooted in the application of the concept of complexity to the social sciences, and it depicts its growth and development from a non-linear out-of-equilibrium approach to a state-of-the-art agent-based macroeconomics. The book helps readers gain a better understanding of the limits and perspectives of the ACE models and their capacity to reproduce economic phenomena and empirical patterns.

Probability, Statistics and Econometrics

  • 1st Edition
  • March 3, 2017
  • Oliver Linton
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 0 4 9 5 - 8
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 0 4 9 6 - 5
Probability, Statistics and Econometrics provides a concise, yet rigorous, treatment of the field that is suitable for graduate students studying econometrics, very advanced undergraduate students, and researchers seeking to extend their knowledge of the trinity of fields that use quantitative data in economic decision-making. The book covers much of the groundwork for probability and inference before proceeding to core topics in econometrics. Authored by one of the leading econometricians in the field, it is a unique and valuable addition to the current repertoire of econometrics textbooks and reference books.

Investment and Factor Demand

  • 1st Edition
  • Volume 193
  • May 7, 2016
  • P. Artus + 1 more
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 5 3 3 - 6
The first part of the book presents the estimation of traditional models of investment, their interpretation in the light of the disequilibrium theory and their use in evaluating the economic policies implemented during the seventies. The issue of the best representation of the production technology is also addressed. The second part analyses the interdependance of the decisions of investment, employment and consumption of raw materials using simultaneous estimations of factor demand equations, as well as the dynamic adjustment costs firms are facing. The last section illustrates the most recent theories and econometric methods: investment models with several regimes taking into account sales, employment and financing constraints, and the introduction of the uncertainty on future sales.

Foundations of Econometrics

  • 1st Edition
  • Volume 7
  • July 22, 2014
  • Albert Madansky
  • C. J. Bliss + 1 more
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 7 5 2 5 - 3
Advanced Textbooks in Economics, Volume 7: Foundations of Econometrics focuses on the principles, processes, methodologies, and approaches involved in the study of econometrics. The publication examines matrix theory and multivariate statistical analysis. Discussions focus on the maximum likelihood estimation of multivariate normal distribution parameters, point estimation theory, multivariate normal distribution, multivariate probability distributions, Euclidean spaces and linear transformations, orthogonal transformations and symmetric matrices, and determinants. The manuscript then ponders on linear expected value models and simultaneous equation estimation. Topics include random exogenous variables, maximum likelihood estimation of a single equation, identification of a single equation, linear stochastic difference equations, and errors-in-variables models. The book takes a look at a prolegomenon to econometric model building, tests of hypotheses in econometric models, multivariate statistical analysis, and simultaneous equation estimation. Concerns include maximum likelihood estimation of a single equation, tests of linear hypotheses, testing for independence, and causality in economic models. The publication is a valuable source of data for economists and researchers interested in the foundations of econometrics.

Economics of Insurance

  • 1st Edition
  • Volume 29
  • July 14, 2014
  • K.H. Borch + 2 more
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 4 9 0 - 2
The theory of insurance is presented in this book, discussed from the viewpoint of the theory of economics of uncertainty. The principle of premium calculation which the book uses is based on economic equilibrium theory and differs from many of the premium systems discussed by actuaries.Reinsurance is developed in the framework of general economic equilibrium theory under uncertainty. Here ordering of risks, preferences and utility theory play an important role. The book discusses the markets for insurance and divides them into three classes: (i) life insurance (ii) business insurance and (iii) household insurance, and these classes are each treated extensively in three separate chapters. Finally uninsurable risks are presented under "asymmetric information". Here moral hazard and adverse selection are treated and illustrations are given, some based on game theory.

A History of Econometrics

  • 1st Edition
  • Volume 165
  • June 28, 2014
  • R.J. Epstein
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 4 2 2 - 3
This comparative historical study of econometrics focuses on the development of econometric methods and their application to macroeconomics.The analysis covers the origins of modern econometrics in the USA and Europe during the 1920's and 30's, the rise of `structural estimation' in the 1940's and 50's as the dominant research paradigm, and the crisis of the large macroeconomic models in the 1970's and 80's.The completely original feature of this work is the use of previously unknown manuscript material from the archives of the Cowles Commission and other collections. The history so constructed shows that recent debates over methodology are incomplete without understanding the many deep criticisms that were first raised by the earliest researchers in the field.

Filtering and Control of Macroeconomic Systems

  • 1st Edition
  • Volume 160
  • October 22, 2013
  • M.J.M. Rao
  • J. Tinbergen
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 0 0 7 - 2
Advances in computer technology, coupled with the sophistication of econometric modelling, have enabled rapid progress in the formulation and solution of optimal control and filtering programmes, especially in the sphere of macroeconomic policy designing.These developments in systems methodology have prompted the need for an interface between optimal control theory and dynamic macroeconomic analysis. The implications of this convergence have already aroused a great deal of research, but it remains to be seen whether policy makers in most developing countries will consider actually incorporating these techniques into planning. The author argues that control and systems theory can be of immense help in stabilizing those economies plagued by cyclical and structural problems. By demonstrating the applicability of control & filter theory to short-term macroeconomic planning, this book illuminates the impressive array of problems that can thereby be solved, and helps foster a closer working relationship between economists and control theorists. The work deals specifically with the construction of a Kalman filter mechanism, for deriving short-term optimal economic policies under conditions of uncertainty. It specifies and resolves a macroeconometric model which is linked to a unique observation sub-system of a given economy, congruent with the errors in information signalling which are prevalent within the data base context of most developing countries. An evaluation of control settings contrasts short and long-term economic policies. This indicates that an economy may `overheat' under protracted settings of instrument values around their optimal levels if the constraints on the system, in the form of external shocks, are too great to allow reaching all targets simultaneously using feasible instrument paths.

Handbook of Economic Forecasting

  • 1st Edition
  • Volume 2A
  • July 26, 2013
  • Graham Elliott + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 5 3 6 8 3 - 9
  • eBook
    9 7 8 - 0 - 4 4 4 - 5 3 6 8 4 - 6
The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics.  In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects.  Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables.  Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies.  Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals.  The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues.