Reliable Real-time Output Gap Estimates Based on a Modified Hamilton Filter PDF Download
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Author: Josefine Quast
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Josefine Quast
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Languages : en
Pages :
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Author: Onur Ince
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Category :
Languages : en
Pages :
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Author: David Gruen
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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The output gap is of central interest to policymakers. Being unobservable, however, its estimation is prone to error, particularly in real time. Errors result from revisions to the data and unavoidable end-point problems associated with the econometric techniques used to estimate it. This is the first study of the seriousness of these problems for Australia. Over a 28-year period, we obtain real-time output-gap estimates which are unbiased and highly correlated with final estimates derived with the latest data and the benefit of hindsight. We conclude that reasonably reliable output gap estimates can be obtained in real time.
Author: Barry W. Poulson
Publisher: Rowman & Littlefield
ISBN: 1666902578
Category : Business & Economics
Languages : en
Pages : 389
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As countries recover from the coronavirus pandemic, they are confronted with an even more challenging debt crisis. Xavier Debrun argues in the foreword that in deciding where we go from here that there is no longer a consensus regarding the optimum design and enforcement of fiscal rules. Rather we must address a series of questions and challenges to the conventional wisdom. This book provides an opportunity for scholars to explore these questions from an international perspective, with reference to European countries, and emerging nations as well as the United States.
Author: Athanasios Orphanides
Publisher:
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Category :
Languages : en
Pages : 0
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Author: Michał Hulej
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Category :
Languages : en
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Author: Mark William Longbrake
Publisher:
ISBN:
Category : Capital productivity
Languages : en
Pages : 122
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Abstract: This dissertation investigates the usage and estimation of the output gap. The wide use of the output gap as a variable in the monetary policy literature makes learning more about the output gap necessary. The biggest issue with the output gap is that although it is a straightforward theoretical concept it can not be observed directly, meaning it must be estimated. The economics literature currently estimates the output gap by three different methods. The first is direct detrending of the GDP data, the second is indirect estimation, and the third is the production function approach. This dissertation uses both the first and the third methods in order to produce an output gap estimate that is theoretically and econometrically attractive. We begin by investigating the long term trend in US real GDP directly from the GDP data using a new econometric technique, Adaptive Least Squares (ALS). ALS is a special case of the Kalman Filter that allows for a time varying parameter model to be estimated relatively easily. The estimated trend is then used to estimate the output gap. The results of our estimation suggest that GDP does not follow even a time-varying long term trend, so the output 'gap' as specified is illusory. Chapter 3 derives both an unemployment gap and a capacity utilization gap, using Adaptive Least Squares (ALS), and combines them to formulate our Factor Utilization Model. The use of both unemployment and capacity utilization allows us to consider the effects of both labor and capital under or over utilization, thus eliminating a potential substitution bias from the unemployment gap, and avoiding unit root problems from a univariate estimation of the output gap. Additionally the fact that the Factor Utilization Model can be estimated monthly allows for more frequent data availability. Our final chapter compares various estimates of the output gap including all of the estimates developed earlier. We group the output gap estimates into three broad categories, one-sided filters two-sided filters and real-time estimates. Two-sided filters use the entire history of the data in order to arrive at an estimate. This means that they are very useful for looking backwards at the economy to determine how things were, but they are of little use in saying what would, or should have been done in the past. One-sided filters only use the data from periods up to and including the period being estimated. This gives the estimate that would have been generated if the estimation was being done historically. The final group of estimates utilizes real-time data. This is the data as it was initially published before it was subsequently revised. We find that the GDP data and the Congressional Budget Office's estimate of the output gap are subject to large ex post revisions, but that the unemployment and capacity utilization data are not. This lends strength to our Factor Utilization Gap as our output gap proxy of choice.
Author: Mr.Jiaqian Chen
Publisher: International Monetary Fund
ISBN: 151352786X
Category : Business & Economics
Languages : en
Pages : 28
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We apply a range of models to the U.K. data to obtain estimates of the output gap. A structural VAR with an appropriate identification strategy provides improved estimates of output gap with better real time properties and lower sensitivity to temporary shocks than the usual filtering techniques. It also produces smaller out-of-sample forecast errors for inflation. At the same time, however, our results suggest caution in basing policy decisions on output gap estimates.
Author: Pierre St.-Amant
Publisher:
ISBN: 9780662260196
Category : Banks and banking
Languages : en
Pages : 62
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This paper discusses some methodologies for estimating potential output and the output gap that have recently been studied at the Bank of Canada. The assumptions and econometric techniques used by the different methodologies are discussed in turn, and applications to Canadian data are presented. The first group of methods considered are those that simply use some implicit or explicit assumptions about the dynamics of real output to identify the output gap, including the Hodrick and Prescott filter for identifying the cyclical component of output. The second group consists of approaches that combine their assumptions with information from assumed or structural relationships between the output gap and other economic variables. The third class of methods uses multivariate rather than univariate dynamic relationships, often in combination with structural relationships from economic theory, to estimate output gap as a particular transitory component of real output.
Author: Orphanides, Athanasios
Publisher: Montréal : CIRANO
ISBN:
Category :
Languages : en
Pages : 35
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