An Ex Post Evaluation of the Predictive Ability of Two Early Econometric Models PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download An Ex Post Evaluation of the Predictive Ability of Two Early Econometric Models PDF full book. Access full book title An Ex Post Evaluation of the Predictive Ability of Two Early Econometric Models by Richard Ronald Sherlock. Download full books in PDF and EPUB format.
Author: Richard Ronald Sherlock
Publisher:
ISBN:
Category : Beans
Languages : en
Pages : 314
Get Book Here
Book Description
Author: Richard Ronald Sherlock
Publisher:
ISBN:
Category : Beans
Languages : en
Pages : 314
Get Book Here
Book Description
Author: Jan Kmenta
Publisher: Academic Press
ISBN: 1483267342
Category : Business & Economics
Languages : en
Pages : 425
Get Book Here
Book Description
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.
Author: Mario Faliva
Publisher: EDUCatt - Ente per il diritto allo studio universitario dell'Università Cattolica
ISBN: 8867804103
Category : Business & Economics
Languages : en
Pages : 125
Get Book Here
Book Description
Author: Ahmed Riahi-Belkaoui
Publisher: Bloomsbury Publishing USA
ISBN: 0313007861
Category : Business & Economics
Languages : en
Pages : 238
Get Book Here
Book Description
Financial analysis, based on ratio analysis, has been used as a tool for analyzing the financial strength of corporations. Although ratio analysis is generally used as a univariate strategy, the accounting and finance literature has evolved to include multivariate-based models in financial analysis, and these models can be used to explain important economic events and often predict them. Thus, in an exhaustive coverage of the economic events to which they can be applied, Riahi-Belkaoui discusses these models in a way that will have special value to corporate management, financial planners, and to their colleagues in the academic community who specialize in business and economic analysis.
Author: Shahidur R. Khandker
Publisher: World Bank Publications
ISBN: 082138029X
Category : Business & Economics
Languages : en
Pages : 262
Get Book Here
Book Description
Public programs are designed to reach certain goals and beneficiaries. Methods to understand whether such programs actually work, as well as the level and nature of impacts on intended beneficiaries, are main themes of this book.
Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172
Get Book Here
Book Description
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Author: Max Kuhn
Publisher: Springer Science & Business Media
ISBN: 1461468493
Category : Medical
Languages : en
Pages : 595
Get Book Here
Book Description
Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
Author: A. Myrick Freeman III
Publisher: Routledge
ISBN: 1317703928
Category : Business & Economics
Languages : en
Pages : 523
Get Book Here
Book Description
The first edition of this important work was the winner of the 2002 Publication of Enduring Quality award by the Association of Environmental and Resource Economists. The continuing premise for the book is that estimates of the economic values of environmental and natural resource services are essential for effective policy-making. As previous editions, the third edition, which includes two additional co-authors, presents a comprehensive treatment of the theory and methods involved in estimating environmental benefits. Researchers, policy-makers, and practitioners will welcome the work as an up-to-date reference on recent developments. Students will gain a better understanding of the contribution that economics as a discipline can make to decisions concerning pollution control and human health, recreation, environmental amenities, and other critical issues concerning the way we use and interact with environmental and natural resource systems. To reflect recent progress in both the theory and practice of non-market valuation, the third edition includes more details on empirical approaches to measurement, expanded discussion of the reasons for divergence between "willingness to pay" and "willingness to accept compensation," and increased coverage of econometric issues encountered in estimation. In keeping with its cutting edge orientation, it also includes more discussion of survey design, equilibrium sorting models, and the implications of behavioral economics for welfare measurements and benefit cost analysis.
Author: Wenceslao J. Gonzalez
Publisher: Springer
ISBN: 3319088858
Category : Philosophy
Languages : en
Pages : 375
Get Book Here
Book Description
This book develops a philosophico-methodological analysis of prediction and its role in economics. Prediction plays a key role in economics in various ways. It can be seen as a basic science, as an applied science and in the application of this science. First, it is used by economic theory in order to test the available knowledge. In this regard, prediction has been presented as the scientific test for economics as a science. Second, prediction provides a content regarding the possible future that can be used for prescription in applied economics. Thus, it can be used as a guide for economic policy, i.e., as knowledge concerning the future to be employed for the resolution of specific problems. Third, prediction also has a role in the application of this science in the public arena. This is through the decision-making of the agents — individuals or organizations — in quite different settings, both in the realm of microeconomics and macroeconomics. Within this context, the research is organized in five parts, which discuss relevant aspects of the role of prediction in economics: I) The problem of prediction as a test for a science; II) The general orientation in methodology of science and the problem of prediction as a scientific test; III) The methodological framework of social sciences and economics: Incidence for prediction as a test; IV) Epistemology and methodology of economic prediction: Rationality and empirical approaches and V) Methodological aspects of economic prediction: From description to prescription. Thus, the book is of interest for philosophers and economists as well as policy-makers seeking to ascertain the roots of their performance. The style used lends itself to a wide audience.
Author: Francis X. Diebold
Publisher: Princeton University Press
ISBN: 0691219583
Category : Business & Economics
Languages : en
Pages : 438
Get Book Here
Book Description
This is the most sophisticated and up-to-date econometric analysis of business cycles now available. Francis Diebold and Glenn Rudebusch have long been acknowledged as leading experts on business cycles. And here they present a highly integrative collection of their most important essays on the subject, along with a detailed introduction that draws together the book's principal themes and findings. Diebold and Rudebusch use the latest quantitative methods to address five principal questions about the measurement, modeling, and forecasting of business cycles. They ask whether business cycles have become more moderate in the postwar period, concluding that recessions have, in fact, been shorter and shallower. They consider whether economic expansions and contractions tend to die of "old age." Contrary to popular wisdom, they find little evidence that expansions become more fragile the longer they last, although they do find that contractions are increasingly likely to end as they age. The authors discuss the defining characteristics of business cycles, focusing on how economic variables move together and on the timing of the slow alternation between expansions and contractions. They explore the difficulties of distinguishing between long-term trends in the economy and cyclical fluctuations. And they examine how business cycles can be forecast, looking in particular at how to predict turning points in cycles, rather than merely the level of future economic activity. They show here that the index of leading economic indicators is a poor predictor of future economic activity, and consider what we can learn from other indicators, such as financial variables. Throughout, the authors make use of a variety of advanced econometric techniques, including nonparametric analysis, fractional integration, and regime-switching models. Business Cycles is crucial reading for policymakers, bankers, and business executives.
