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This paper presents a new mixed frequency methodology to estimate output gaps and potential output on a quarterly basis. The methodology strongly relies on the production function method commonly agreed at the European level (D'Auria et. al., 2010) but it significantly improves it allowing to assess the impact of real time forecast for GDP and other underlying variables. This feature of the model is particularly welcome in the current Italian budgetary framework which has foreseen the introduction of the principle of a budget balance in structural terms in the Constitution.By allowing to measure output gap with a quarterly span on the basis of recent developments indicators, the methodology provides interesting hints on the cyclical position of the economy in real time to be used for deriving cyclically-adjusted fiscal aggregates.
The gap between potential and actual output—the output gap—is a key variable for policymaking. This paper adapts the methodology developed in Blagrave and others (2015) to estimate the path of output gap in the U.S. economy. The results show that the output gap has considerably shrunk since the Great Recession, but still remains negative. While the results are more robust than other existing methodologies, there is still significant uncertainty surrounding the estimates.
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.
This paper discusses several popular methods to estimate the ‘output gap’. It provides a unified, natural concept for the analysis, and demonstrates how to decompose the output gap into contributions of observed data on output, inflation, unemployment, and other variables. A simple bar-chart of contributing factors, in the case of multi-variable methods, sharpens the intuition behind the estimates and ultimately shows ‘what is in your output gap.’ The paper demonstrates how to interpret effects of data revisions and new data releases for output gap estimates (news effects) and how to obtain more insight into real-time properties of estimators.
I propose a novel method of estimating the potential level of U.S. GDP in real time. The proposed wage-based measure of economic potential remains virtually unchanged when new data are released. The distance between current and potential output--the output gap--satisfies Okun's law and outperforms many other measures of slack in forecasting inflation. Thus, I provide a robust statistical tool useful for understanding current economic conditions and guiding policymaking.
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.
This paper compares the output gap estimates for Mongolia based on a number of different methods. Special attention is paid to the substantial role of mining in the Mongolian economy. We find that a Blanchard and Quah-type joint model of output and inflation provides a more robust estimate of the output gap for Mongolia than the traditional statistical decompositions.
The paper constructs a new output gap measure for Vietnam by applying Bayesian methods to a two-equation AS-AD model, while treating the output gap as an unobservable series to be estimated together with other parameters. Model coefficients are easily interpretable, and the output gap series is consistent with a broader analysis of economic developments. Output gaps obtained from the HP detrending are subject to larger revisions than series obtained from a suitably adjusted model, and may be misleading compared to the model-based measure.
This paper employs several econometric techniques to estimate the Armenian output gap. The findings indicate that the output gap is significantly positive in 2007 and 2008 and decreased dramatically in 2009. The paper uses these results to estimate a New Keynesian Phillips curve for Armenia, suggesting a significant role of the output gap and inflation expectations in determining current inflation. Finally, the underlying fiscal stance over the period 2000-09 is assessed by estimating the cyclically-adjusted fiscal balance. Most of Armenia’s fiscal deficit is found to be structural. Fiscal policy, while providing counter-cyclical support in 2009, has been largely pro-cyclical in the past.