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Forecast Errors And Uncertainty Shocks
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Book Synopsis Forecast Errors and Uncertainty Shocks by : Sylwia Nowak
Download or read book Forecast Errors and Uncertainty Shocks written by Sylwia Nowak and published by International Monetary Fund. This book was released on 2016-11-17 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: Macroeconomic forecasts are persistently too optimistic. This paper finds that common factors related to general uncertainty about U.S. macrofinancial prospects and global demand drive this overoptimism. These common factors matter most for advanced economies and G- 20 countries. The results suggest that an increase in uncertainty-driven overoptimism has dampening effects on next-year real GDP growth rates. This implies that incorporating the common structure governing forecast errors across countries can help improve subsequent forecasts.
Book Synopsis Forecasting Demand and Supply of Doctoral Scientists and Engineers by : National Research Council
Download or read book Forecasting Demand and Supply of Doctoral Scientists and Engineers written by National Research Council and published by National Academies Press. This book was released on 2000-07-31 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report is the summary of a workshop conducted by the National Research Council in order to learn from both forecast makers and forecast users about improvements that can be made in understanding the markets for doctoral scientists and engineers. The workshop commissioned papers examined (1) the history and problems with models of demand and supply for scientists and engineers, (2) objectives and approaches to forecasting models, (3) margins of adjustment that have been neglected in models, especially substitution and quality, (4) the presentation of uncertainty, and (5) whether these forecasts of supply and demand are worthwhile, given all their shortcomings. The focus of the report was to provide guidance to the NSF and to scholars in this area on how models and the forecasts derived from them might be improved, and what role NSF should play in their improvement. In addition, the report examined issues of reporting forecasts to policymakers.
Book Synopsis Forecasts in Times of Crises by : Theo S. Eicher
Download or read book Forecasts in Times of Crises written by Theo S. Eicher and published by International Monetary Fund. This book was released on 2018-03-09 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial crises pose unique challenges for forecast accuracy. Using the IMF’s Monitoring of Fund Arrangement (MONA) database, we conduct the most comprehensive evaluation of IMF forecasts to date for countries in times of crises. We examine 29 macroeconomic variables in terms of bias, efficiency, and information content to find that IMF forecasts add substantial informational value as they consistently outperform naive forecast approaches. However, we also document that there is room for improvement: two thirds of the key macroeconomic variables that we examine are forecast inefficiently and 6 variables (growth of nominal GDP, public investment, private investment, the current account, net transfers, and government expenditures) exhibit significant forecast bias. Forecasts for low-income countries are the main drivers of forecast bias and inefficiency, reflecting perhaps larger shocks and lower data quality. When we decompose the forecast errors into their sources, we find that forecast errors for private consumption growth are the key contributor to GDP growth forecast errors. Similarly, forecast errors for non-interest expenditure growth and tax revenue growth are crucial determinants of the forecast errors in the growth of fiscal budgets. Forecast errors for balance of payments growth are significantly influenced by forecast errors in goods import growth. The results highlight which macroeconomic aggregates require further attention in future forecast models for countries in crises.
Book Synopsis Efficient Estimation of Forecast Uncertainty Based on Recent Forecast Errors by : Malte Knüppel
Download or read book Efficient Estimation of Forecast Uncertainty Based on Recent Forecast Errors written by Malte Knüppel and published by . This book was released on 2009 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Uncertainty and Unemployment by : Sangyup Choi
Download or read book Uncertainty and Unemployment written by Sangyup Choi and published by International Monetary Fund. This book was released on 2015-02-23 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: We study the role of uncertainty shocks in explaining unemployment dynamics, separating out the role of aggregate and sectoral channels. Using S&P500 data from the first quarter of 1957 to third quarter of 2014, we construct separate indices to measure aggregate and sectoral uncertainty and compare their effects on the unemployment rate in a standard macroeconomic vector autoregressive (VAR) model. We find that aggregate uncertainty leads to an immediate increase in unemployment, with the impact dissipating within a year. In contrast, sectoral uncertainty has a long-lived impact on unemployment, with the peak impact occurring after two years. The results are consistent with a view that the impact of aggregate uncertainty occurs through a “wait-and-see” mechanism while increased sectoral uncertainty raises unemployment by requiring greater reallocation across sectors.
Book Synopsis Forecasting in the Presence of Structural Breaks and Model Uncertainty by : David E. Rapach
Download or read book Forecasting in the Presence of Structural Breaks and Model Uncertainty written by David E. Rapach and published by Emerald Group Publishing. This book was released on 2008-02-29 with total page 691 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting in the presence of structural breaks and model uncertainty are active areas of research with implications for practical problems in forecasting. This book addresses forecasting variables from both Macroeconomics and Finance, and considers various methods of dealing with model instability and model uncertainty when forming forecasts.
Book Synopsis Measuring Global and Country-Specific Uncertainty by : Ezgi O. Ozturk
Download or read book Measuring Global and Country-Specific Uncertainty written by Ezgi O. Ozturk and published by International Monetary Fund. This book was released on 2017-10-30 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: Motivated by the literature on the capital asset pricing model, we decompose the uncertainty of a typical forecaster into common and idiosyncratic uncertainty. Using individual survey data from the Consensus Forecasts over the period of 1989-2014, we develop monthly measures of macroeconomic uncertainty covering 45 countries and construct a measure of global uncertainty as the weighted average of country-specific uncertainties. Our measure captures perceived uncertainty of market participants and derives from two components that are shown to exhibit strikingly different behavior. Common uncertainty shocks produce the large and persistent negative response in real economic activity, whereas the contributions of idiosyncratic uncertainty shocks are negligible.
Book Synopsis Understanding Economic Forecasts by : David F. Hendry
Download or read book Understanding Economic Forecasts written by David F. Hendry and published by MIT Press. This book was released on 2003 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to interpret and evaluate economic forecasts and the uncertainties inherent in them.
Book Synopsis Identifying News Shocks from Forecasts by : Jonathan J. Adams
Download or read book Identifying News Shocks from Forecasts written by Jonathan J. Adams and published by International Monetary Fund. This book was released on 2023-09-29 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose a method to identify the anticipated components of macroeconomic shocks in a structural VAR. We include empirical forecasts about each time series in the VAR. This introduces enough linear restrictions to identify each structural shock and to further decompose each one into “news” and “surprise” shocks. We estimate a VAR on US time series using forecast data from the SPF, CBO, Federal Reserve, and asset prices. Unanticipated fiscal stimulus and interest rate shocks we identify have typical effects that match existing evidence. In our news-surprise decomposition, we find that news drives around one quarter of US business cycle volatility. News explains a larger share of the variance due to fiscal shocks than for monetary policy shocks. Finally, we use the news structure of the shocks to estimate counterfactual policy rules, and compare the ability of fiscal and monetary policy to moderate output and inflation. We find that coordinated fiscal and monetary policy are substantially more effective than either tool is individually.
Book Synopsis Gauging the Uncertainty of the Economic Outlook Using Historical Forecasting Errors by : David Reifschneider
Download or read book Gauging the Uncertainty of the Economic Outlook Using Historical Forecasting Errors written by David Reifschneider and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Forecasting Economic Time Series by : Michael Clements
Download or read book Forecasting Economic Time Series written by Michael Clements and published by Cambridge University Press. This book was released on 1998-10-08 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a formal analysis of the models, procedures, and measures of economic forecasting with a view to improving forecasting practice. David Hendry and Michael Clements base the analyses on assumptions pertinent to the economies to be forecast, viz. a non-constant, evolving economic system, and econometric models whose form and structure are unknown a priori. The authors find that conclusions which can be established formally for constant-parameter stationary processes and correctly-specified models often do not hold when unrealistic assumptions are relaxed. Despite the difficulty of proceeding formally when models are mis-specified in unknown ways for non-stationary processes that are subject to structural breaks, Hendry and Clements show that significant insights can be gleaned. For example, a formal taxonomy of forecasting errors can be developed, the role of causal information clarified, intercept corrections re-established as a method for achieving robustness against forms of structural change, and measures of forecast accuracy re-interpreted.
Download or read book Forecasting written by Jennifer Castle and published by Yale University Press. This book was released on 2019-06-11 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concise, engaging, and highly intuitive--this accessible guide equips you with an understanding of all the basic principles of forecasting Making accurate predictions about the economy has always been difficult, as F. A. Hayek noted when accepting his Nobel Prize in economics, but today forecasters have to contend with increasing complexity and unpredictable feedback loops. In this accessible and engaging guide, David Hendry, Michael Clements, and Jennifer Castle provide a concise and highly intuitive overview of the process and problems of forecasting. They explain forecasting concepts including how to evaluate forecasts, how to respond to forecast failures, and the challenges of forecasting accurately in a rapidly changing world. Topics covered include: What is a forecast? How are forecasts judged? And how can forecast failure be avoided? Concepts are illustrated using real-world examples including financial crises, the uncertainty of Brexit, and the Federal Reserve's record on forecasting. This is an ideal introduction for university students studying forecasting, practitioners new to the field and for general readers interested in how economists forecast.
Book Synopsis Economic Forecasting by : Graham Elliott
Download or read book Economic Forecasting written by Graham Elliott and published by Princeton University Press. This book was released on 2016-04-05 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and integrated approach to economic forecasting problems Economic forecasting involves choosing simple yet robust models to best approximate highly complex and evolving data-generating processes. This poses unique challenges for researchers in a host of practical forecasting situations, from forecasting budget deficits and assessing financial risk to predicting inflation and stock market returns. Economic Forecasting presents a comprehensive, unified approach to assessing the costs and benefits of different methods currently available to forecasters. This text approaches forecasting problems from the perspective of decision theory and estimation, and demonstrates the profound implications of this approach for how we understand variable selection, estimation, and combination methods for forecasting models, and how we evaluate the resulting forecasts. Both Bayesian and non-Bayesian methods are covered in depth, as are a range of cutting-edge techniques for producing point, interval, and density forecasts. The book features detailed presentations and empirical examples of a range of forecasting methods and shows how to generate forecasts in the presence of large-dimensional sets of predictor variables. The authors pay special attention to how estimation error, model uncertainty, and model instability affect forecasting performance. Presents a comprehensive and integrated approach to assessing the strengths and weaknesses of different forecasting methods Approaches forecasting from a decision theoretic and estimation perspective Covers Bayesian modeling, including methods for generating density forecasts Discusses model selection methods as well as forecast combinations Covers a large range of nonlinear prediction models, including regime switching models, threshold autoregressions, and models with time-varying volatility Features numerous empirical examples Examines the latest advances in forecast evaluation Essential for practitioners and students alike
Book Synopsis Household Income Uncertainties Over Three Decades by : James Feigenbaum
Download or read book Household Income Uncertainties Over Three Decades written by James Feigenbaum and published by DIANE Publishing. This book was released on 2011-08 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studies the trend in household income uncertainty using a novel approach that measures income uncertainty as the variance of forecast errors at each future horizon separately without imposing parametric restrictions on the underlying income shocks. Household income uncertainty has risen significantly and persistently since the early 1970s. Their measure of near-future uncertainty in total family non-capital income rose 40% between 1971 and 2002. This rising uncertainty is likely due to the increase in variances of both persistent and transitory income shocks. The increase was most pronounced among single-earner households and high-income households. Charts and tables. This is a print on demand report.
Book Synopsis Economic Forecasting: The State of the Art by : Elia Xacapyr
Download or read book Economic Forecasting: The State of the Art written by Elia Xacapyr and published by Routledge. This book was released on 2016-09-16 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Aggregate Uncertainty and the Supply of Credit by : Mr.Fabian Valencia
Download or read book Aggregate Uncertainty and the Supply of Credit written by Mr.Fabian Valencia and published by International Monetary Fund. This book was released on 2013-12-02 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent studies show that uncertainty shocks have quantitatively important effects on the real economy. This paper examines one particular channel at work: the supply of credit. It presents a model in which a bank, even if managed by risk-neutral shareholders and subject to limited liability, can exhibit self-insurance, and thus loan supply contracts when uncertainty increases. This prediction is tested with the universe of U.S. commercial banks over the period 1984-2010. Identification of credit supply is achieved by looking at the differential response of banks according to their level of capitalization. Consistent with the theoretical predictions, increases in uncertainty reduce the supply of credit, more so for banks with lower levels of capitalization. These results are weaker for large banks, and are robust to controlling for the lending and capital channels of monetary policy, to different measures of uncertainty, and to breaking the dataset in subsamples. Quantitatively, uncertainty shocks are almost as important as monetary policy ones with regards to the effects on the supply of credit.
Book Synopsis How We Missed the Inflation Surge: An Anatomy of Post-2020 Inflation Forecast Errors by : Mr. Christoffer Koch
Download or read book How We Missed the Inflation Surge: An Anatomy of Post-2020 Inflation Forecast Errors written by Mr. Christoffer Koch and published by International Monetary Fund. This book was released on 2023-05-12 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper analyzes the inflation forecast errors over the period 2021Q1-2022Q3 using forecasts of core and headline inflation from the International Monetary Fund World Economic Outlook for a large group of advanced and emerging market economies. The findings reveal evidence of forecast bias that worsened initially then subsided towards the end of the sample. There is also evidence of forecast oversmoothing indicating rigidity in forecast revision in the face of incoming information. Focusing on core inflation forecast errors in 2021, four factors provide a potential ex post explanation: a stronger-than-anticipated demand recovery; demand-induced pressures on supply chains; the demand shift from services to goods at the onset of the pandemic; and labor market tightness. Ex ante, we find that the size of the COVID-19 fiscal stimulus packages announced by different governments in 2020 correlates positively with core inflation forecast errors in advanced economies. This result hints at potential forecast inefficiency, but we caution that it hinges on the outcomes of a few, albeit large, economies.
