scholarly journals ESTIMATING MALAYSIA’S OUTPUT GAP: HAVE WE CLOSED THE GAP?

2019 ◽  
Vol 64 (03) ◽  
pp. 647-674
Author(s):  
NUR AIN SHAHRIER ◽  
CHUAH LAY LIAN
Keyword(s):  
Structural Models ◽  
Critical Assessment ◽  
Output Gap ◽  
Policy Decisions ◽  
Potential Output ◽  
Analytical Work ◽  
Price Trends ◽  
Future Potential

The concepts of potential output and output gap are central to the policymakers’ analytical work in providing guidance to policy decisions. This paper presents three different estimation approaches for the Malaysian economy, namely, the univariate, multivariate and structural models. While the multivariate and structural models are mainly underpinned by theory and captured the concept of potential output better, most policymakers still maintain a suite of models to preserve diversity. Diversity provides a greater scope for cross-checking the robustness of results. The paper attempts to contribute by first, providing a critical assessment of the different models in estimating potential output and the output gap, and, second, the usefulness of each models in terms of assessing the drivers of future potential output, predicting price trends and identifying sources of inflation in the economy.

DAMPAK VOLATILITAS HARGA MINYAK DI INDONESIA TERHADAP PENYESUAIAN KESEIMBANGAN FISKAL

2015 ◽  
Vol 15 (2) ◽  
pp. 37-52
Author(s):  
Mahpud Sujai
Keyword(s):  
Linear Trend ◽  
The State ◽  
Oil Price ◽  
Output Gap ◽  
State Budget ◽  
Price Changes ◽  
Potential Output ◽  
Budget Cycle ◽  
Actual Output ◽  
The Impact

This paper is intended to analyze the effect of oil price changes on potential output and actual output in the state budget cycle and identifies the output gap which is the difference between potential output and actual output. The research methodology uses a quantitative approach to analyze problems that occur related to the impact of oil price changes to the state budget cycle. Data analysis was carried out through the approach cyclically adjusted fiscal balance with a simplified approach. This research identified that the potential output is likely to continue increasing in line with Indonesia's oil price trends which is continue to rise following the world oil price movements. In calculating the output gap using a linear trend and HP filter, the result is fuctuating depend on the percentage changes in both potential output and actual output. This paper concludes that Indonesian oil price (ICP) has a significant impact on changes in the state budget cycle. If oil prices rise, the output gap between potential output and actual output is greater, and vice versa. This will make the budget vulnerable to shock that occurs as an external infuence.

Potential Output and Output Gap: Some Estimates for France (in French)

2002 ◽  
Author(s):  
Mustapha Baghli ◽  
Carine Bouthevillain ◽  
Olivier de Bandt ◽  
Henri Fraisse ◽  
Hervé le Bihan ◽  
...  
Keyword(s):  
Output Gap ◽  
Potential Output

scholarly journals Modelling Italian Potential Output and the Output Gap

2010 ◽  
Author(s):  
Antonio Bassanetti ◽  
Michele Caivano ◽  
Alberto Locarno
Keyword(s):  
Output Gap ◽  
Potential Output

scholarly journals Estimating the Potential Output and Output Gap of Ghana

2019 ◽  
Vol 6 (3) ◽  
pp. 58
Author(s):  
Joseph Atta-Mensah ◽  
Sawuya Nakijoba
Keyword(s):  
Economic Activity ◽  
Time Trends ◽  
Linear Time ◽  
Output Gap ◽  
Annual Data ◽  
Conceptual Tool ◽  
Potential Output ◽  
Economic Information ◽  
Hp Filter ◽  
Output Gaps

This paper focuses on the estimation of the potential output of Ghana. Potential output or its derivative the output gap are not observable. However, “potential output” is a powerful conceptual tool that guides analysts and policymakers in gauging whether the current observed economic activity is sustainable and how much of it is greater than or less than potential. Based on Ghanaian GDP annual data from 1960 – 2017, the paper estimates potential output and output gaps using the following methodology: linear time trends, Hodrick-Prescott (HP) filter trends, multivariate HP filter trends, and a production function model. The results show that estimates of the potential output and output gaps are model-dependent as estimates vary from one methodology to the other. The paper recommends that policymakers should not mechanically choose a model to estimate output gap. For the avoidance of costly policy mistakes, the choice of the model should be complemented with sound judgement based on a set of pertinent economic information.

scholarly journals Estimating the Output GAP for Lebanon: A Production Function methodology

2019 ◽  
Vol 2 (1) ◽  
pp. 60-83
Author(s):  
Latifa Ghalayini
Keyword(s):  
Economic Growth ◽  
Economic Policy ◽  
Labor Market ◽  
Production Function ◽  
Output Growth ◽  
Output Gap ◽  
Structural Reforms ◽  
Potential Output ◽  
Potential Output Growth ◽  
Douglas Production Function

This paper estimates the output Gap for Lebanon to analyze the economic policy and to judge the stance of the economy. Therefore, a Cobb-Douglas production function is estimated for the period Q11998 to Q42015 and potential output calculated by substituting for potential levels of the factors in the estimated production function. The calculation of potential labor required the calculation of the NAIRU. This paper calculates therefore three types of NAIRU. The results of output gap calculations show that the Lebanese economy is working over its capacity and that it hits his limits. Furthermore, findings show that the labor market is characterized by high levels of NAIRU which restricted potential output growth. Therefore, any policy aiming to increase economic growth, while neglecting structural reforms will prove to be unsustainable.

scholarly journals The Unreliability of Output-Gap Estimates in Real Time

2017 ◽  
Vol 56 (3) ◽  
pp. 193-219 ◽  
Author(s):  
Ahsan Ul Haq Satti ◽  
Wasim Shahid Malik
Keyword(s):  
Real Time ◽  
Linear Trend ◽  
The State ◽  
Output Gap ◽  
Policy Decisions ◽  
Time Data ◽  
Uncertainty Measurement ◽  
Real Time Data ◽  
Final Data ◽  
The Difference

Most research on monetary policy assumes availability of information regarding the current state of economy, at the time of the policy decision. A key challenge for policy-makers is to find indicators that give a clear and precise signal of the state of the economy in real time—that is, when policy decisions are actually taken. One of the indicators used to asses the economic condition is the output gap; and the estimates of output gap from real time data misrepresents the true state of economy. So the policy decisions taken on the basis of real time noisy data are proved wrong when true data become available. Within this context we find evidence of wrong estimates of output gap in real time data. This is done by comparing estimates of output gap based on real time data with that in the revised data. The quasi real time data are also constructed such that the difference between estimates of output gap from real time data and that from quasi real time data reflects data revision and the difference between estimates of output gap from final data and that from quasi real time data portray other revisions including end sample bias. Moreover, output gap is estimated with the help of five methods namely the linear trend method, quadratic trend method, Hordrick-Prescott (HP) filter, production function method, and structural vector autoregressive method. Results indicate that the estimates of output gap in real time data are different from what have been found in final data but other revisions, compared to data revisions, are found more significant. Moreover, the output gap measured using all the methods, except the linear trend method, appropriately portray the state of economy in the historical context. It is also found that recessions can be better predicted by real time data instead of revised data, and final data show more intensity of recession compared with what has been shown in real time data. JEL Classification: E320 Keywords: Data Uncertainty, Measurement Uncertainty, Output Gap, Business Cycle, Economic Activity

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