A Short Run Forecasting Model Of The United States Economy
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Forecasting the Supply Side of the Economy
Author | : United States. Congress. Joint Economic Committee |
Publisher | : |
Total Pages | : 96 |
Release | : 1980 |
Genre | : Economic forecasting |
ISBN | : |
Economic Forecasting: The State of the Art
Author | : Elia Xacapyr |
Publisher | : Routledge |
Total Pages | : 200 |
Release | : 2016-09-16 |
Genre | : Business & Economics |
ISBN | : 1315480670 |
An overview of the macroeconomic forecasting industry in the United States that explains and evaluates the forecasting techniques used to make predictions about various aspects of the national economy.
Economic Modeling in the Post Great Recession Era
Author | : John E. Silvia |
Publisher | : John Wiley & Sons |
Total Pages | : 382 |
Release | : 2017-01-04 |
Genre | : Business & Economics |
ISBN | : 1119349834 |
Reality-based modeling for today's unique economic recovery Economic Modeling in the Post Great Recession Era presents a more realistic approach to modeling, using direct statistical applications to address the characteristics and trends central to current market behaviors. This book's unique focus on the reality of today's markets makes it an invaluable resource for students and practitioners seeking a comprehensive guide to more accurate forecasting. While most books treat the economy as if it were in a vacuum, building models around idealized or perception-biased behaviors, this book deals with the economy as it currently stands—in a state of recovery, limited by financial constraints, imperfect information, and lags and disparities in price movements. The authors identify how these characteristics impact various markets' behaviors, and quantify those behaviors using SAS as the primary statistical tool. Today's economy bears a number of unique attributes that usual modeling methods fail to consider. This book describes how to approach modeling based on real-world, observable data in order to make better-informed decisions in today's markets. Discover the three economic characteristics with the greatest impact on various markets Create economic models that mirror the current post-recession reality Adopt statistical methods that identify and adapt to structural breaks and lags Factor real-world imperfections into modeling for more accurate forecasting The past few years have shown a clear demarcation between policymakers' forecasts and actual outcomes. As the dust settles on the Great Recession, after-effects linger—and impact our current recovery in ways that diverge from past experience and theoretical expectations. Economic Modeling in the Post Great Recession Era provides comprehensive guidance grounded in reality for today's economic decision-makers.
Time Series Models for Business and Economic Forecasting
Author | : Philip Hans Franses |
Publisher | : Cambridge University Press |
Total Pages | : 421 |
Release | : 2014-04-24 |
Genre | : Business & Economics |
ISBN | : 1139952129 |
With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition textbook prepares students and practitioners to create effective forecasting models and master the techniques of time series analysis. Taking a practical and example-driven approach, this textbook summarises the most critical decisions, techniques and steps involved in creating forecasting models for business and economics. Students are led through the process with an entirely new set of carefully developed theoretical and practical exercises. Chapters examine the key features of economic time series, univariate time series analysis, trends, seasonality, aberrant observations, conditional heteroskedasticity and ARCH models, non-linearity and multivariate time series, making this a complete practical guide. Downloadable datasets are available online.
A Short-term Forecasting Model for the Indiana Economy
Author | : C. Richard Huston |
Publisher | : |
Total Pages | : 300 |
Release | : 1969 |
Genre | : Economic forecasting |
ISBN | : |
Forecasting Economic Time Series
Author | : C. W. J. Granger |
Publisher | : Academic Press |
Total Pages | : 353 |
Release | : 2014-05-10 |
Genre | : Business & Economics |
ISBN | : 1483273245 |
Economic Theory, Econometrics, and Mathematical Economics, Second Edition: Forecasting Economic Time Series presents the developments in time series analysis and forecasting theory and practice. This book discusses the application of time series procedures in mainstream economic theory and econometric model building. Organized into 10 chapters, this edition begins with an overview of the problem of dealing with time series possessing a deterministic seasonal component. This text then provides a description of time series in terms of models known as the time-domain approach. Other chapters consider an alternative approach, known as spectral or frequency-domain analysis, that often provides useful insights into the properties of a series. This book discusses as well a unified approach to the fitting of linear models to a given time series. The final chapter deals with the main advantage of having a Gaussian series wherein the optimal single series, least-squares forecast will be a linear forecast. This book is a valuable resource for economists.
Techniques of Economic Forecasting
Author | : Organisation for Economic Co-operation and Development |
Publisher | : |
Total Pages | : 184 |
Release | : 1965 |
Genre | : Business forecasting |
ISBN | : |
Short-Term Forecasting for Empirical Economists
Author | : Maximo Camacho |
Publisher | : |
Total Pages | : 74 |
Release | : 2013-11-01 |
Genre | : Business & Economics |
ISBN | : 9781601987426 |
Short-term Forecasting for Empirical Economists seeks to close the gap between research and applied short-term forecasting. The authors review some of the key theoretical results and empirical findings in the recent literature on short-term forecasting, and translate these findings into economically meaningful techniques to facilitate their widespread application to compute short-term forecasts in economics, and to monitor the ongoing business cycle developments in real time.