Download or read book The Implication of Linear Aggregation on Predictions from Econometric Models written by Roland Yi-min Wu and published by . This book was released on 1971 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Implication of Linear Aggregation on Predictions from Econometric Models written by Roland Yi-min Wu and published by . This book was released on 1971 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Critique of Models in Linear Aggregation Structures written by Karl Ringwald and published by . This book was released on 1980 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Disaggregation in Econometric Modelling Routledge Revivals written by Terry Barker and published by Routledge. This book was released on 2014-02-04 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, first published in 1990, leading theorists and applied economists address themselves to the key questions of aggregation. The issues are covered both theoretically and in wide-ranging applications. Of particular intrest is the optimal aggregation of trade data, the need for micro-modelling when imoprtant non-linearities are present (for example, tax exhaustion in modelling company behaviour) and the use of a micro-model to stimulate labour supply behaviour in a macro-model of the Netherlands.
Download or read book Linear Aggregation of Economic Relations written by Henri Theil and published by . This book was released on 1954 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evaluation of Econometric Models written by Jan Kmenta and published by Academic Press. This book was released on 2014-05-10 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evaluation of Econometric Models presents approaches to assessing and enhancing the progress of applied economic research. This book discusses the problems and issues in evaluating econometric models, use of exploratory methods in economic analysis, and model construction and evaluation when theoretical knowledge is scarce. The data analysis by partial least squares, prediction analysis of economic models, and aggregation and disaggregation of nonlinear equations are also elaborated. This text likewise covers the comparison of econometric models by optimal control techniques, role of time series analysis in econometric model evaluation, and hypothesis testing in spectral regression. Other topics include the relevance of laboratory experiments to testing resource allocation theory and token economy and animal models for the experimental analysis of economic behavior. This publication is intended for students and researchers interested in evaluating econometric models.
Download or read book Disaggregation in Econometric Modelling Routledge Revivals written by Terry Barker and published by Routledge. This book was released on 2014-02-04 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, first published in 1990, leading theorists and applied economists address themselves to the key questions of aggregation. The issues are covered both theoretically and in wide-ranging applications. Of particular intrest is the optimal aggregation of trade data, the need for micro-modelling when imoprtant non-linearities are present (for example, tax exhaustion in modelling company behaviour) and the use of a micro-model to stimulate labour supply behaviour in a macro-model of the Netherlands.
Download or read book Data Science for Economics and Finance written by Sergio Consoli and published by Springer Nature. This book was released on 2021 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
Download or read book American Doctoral Dissertations written by and published by . This book was released on 1971 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Economic Forecasting written by Graham Elliott and published by Newnes. This book was released on 2013-08-23 with total page 719 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Focuses on innovation in economic forecasting via industry applications Presents coherent summaries of subjects in economic forecasting that stretch from methodologies to applications Makes details about economic forecasting accessible to scholars in fields outside economics
Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2017-05-10 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data
Download or read book Statewide Travel Forecasting Models written by Alan J. Horowitz and published by Transportation Research Board. This book was released on 2006 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: TRB's National Cooperative Highway Research Program (NCHRP) Synthesis 358: Statewide Travel Forecasting Models examines statewide travel forecasting models designed to address planning needs and provide forecasts for statewide transportation, including passenger vehicle and freight movements. The report explores the types and purposes of models being used, integration of state and urban models, data requirements, computer needs, resources (including time, funding, training, and staff), limitations, and overall benefits. The report includes five case studies, two that focus on passenger components, two on freight components, and one on both passenger and freight.
Download or read book Econometric Models of Cyclical Behavior written by Social Science Research Council (U.S.). Committee on Economic Stability and published by . This book was released on 1972 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conference report on dynamically stable econometrics models of business cycles in the USA and their forecasting properties - examines methodologycal problems, analyses stochastic and non-stochastic simulations in respect of economic policy, etc., and stresses the need for further studies and research. Diagrams, references and statistical tables. Conference held in Cambridge 1969 November 14 and 15.
Download or read book National Economic Impact Analysis of Terrorist Attacks and Natural Disasters written by Harry W. Richardson and published by Edward Elgar Publishing. This book was released on 2014-11-28 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: øA unique contribution towards mitigation is offered in this book, which develops a national economic impact model to estimate the effects of simulated terrorist attacks and real world natural disasters on individual US States and economic sectors. The
Download or read book Introduction To Environmental Impact Assessment written by John Glasson and published by Routledge. This book was released on 2013-09-13 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Environmental Impact Assessment provides students and practitioners with a clearly structured overview of the subject, as well as critical analysis and support for further studies. Written by three authors with extensive research, training and practical experience in EIA (Environmental Impact Assessment), the book covers the latest EIA legislation, guidance and good practice. This edition updates essential information on: • the evolving nature of EIA • experience of the implementation of the changing EU and UK EIA procedures • best practice in the EIA process • other key issues in the process, explored in an extended case studies section • comparative EIA systems worldwide • development of SEA/SA legislation and practice • prospects for the future of EIA. Although the book’s focus is on the UK and the EU, the principles and techniques it describes are applicable internationally. With colour images and a new modern design, the book provides an essential introduction to EIA for undergraduate and postgraduate students on planning courses, as well as those studying environmental management and policy, environmental sciences, geography and the built environment. Planners, developers, community groups and decision-makers in government and business will also welcome the book as an effective way to get to grips with this important and evolving subject that affects a wide range of development projects.
Download or read book Handbook of Economic Forecasting written by G. Elliott and published by Elsevier. This book was released on 2006-05-30 with total page 1071 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on forecasting methods has made important progress over recent years and these developments are brought together in the Handbook of Economic Forecasting. The handbook covers developments in how forecasts are constructed based on multivariate time-series models, dynamic factor models, nonlinear models and combination methods. The handbook also includes chapters on forecast evaluation, including evaluation of point forecasts and probability forecasts and contains chapters on survey forecasts and volatility forecasts. Areas of applications of forecasts covered in the handbook include economics, finance and marketing. *Addresses economic forecasting methodology, forecasting models, forecasting with different data structures, and the applications of forecasting methods *Insights within this volume can be applied to economics, finance and marketing disciplines
Download or read book Principles of Forecasting written by J.S. Armstrong and published by Springer Science & Business Media. This book was released on 2001-05-31 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Forecasting: A Handbook for Researchers and Practitioners summarizes knowledge from experts and from empirical studies. It provides guidelines that can be applied in fields such as economics, sociology, and psychology. It applies to problems such as those in finance (How much is this company worth?), marketing (Will a new product be successful?), personnel (How can we identify the best job candidates?), and production (What level of inventories should be kept?). The book is edited by Professor J. Scott Armstrong of the Wharton School, University of Pennsylvania. Contributions were written by 40 leading experts in forecasting, and the 30 chapters cover all types of forecasting methods. There are judgmental methods such as Delphi, role-playing, and intentions studies. Quantitative methods include econometric methods, expert systems, and extrapolation. Some methods, such as conjoint analysis, analogies, and rule-based forecasting, integrate quantitative and judgmental procedures. In each area, the authors identify what is known in the form of `if-then principles', and they summarize evidence on these principles. The project, developed over a four-year period, represents the first book to summarize all that is known about forecasting and to present it so that it can be used by researchers and practitioners. To ensure that the principles are correct, the authors reviewed one another's papers. In addition, external reviews were provided by more than 120 experts, some of whom reviewed many of the papers. The book includes the first comprehensive forecasting dictionary.
