Univariate filters used in output gap estimation are subject to criticism as being purely statistical and having no economic content. The information content of the output gap measures estimated by standard multivariate filtering techniques, on the other hand, can be distorted because of the possibly unrealistic restriction that system parameters stay constant over time. In this study, we seek to address these shortcomings by proposing an output gap estimation method that takes into account changing economic relations. We employ a nonlinear time series framework along with the extended Kalman filter, in which economic content is used by inflation and output gap dynamics and the parameters are allowed to be time varying. We use the Turkish economy as a laboratory to show that our method provides useful results, both in terms of the properties of output gap estimates and for the assessment of change in macroeconomic dynamics.
This study investigates the sensitivity of Consumer Price Index (CPI) sub-items to output gap for an emerging market economy, Turkey. To this aim, we estimate standard Phillips Curve equations for each of the 152 sub-indices of the CPI and determine the goods and services that respond to output gap in a statistically and economically significant manner. Thereby, we propose an alternative view to assess core inflation as a complementary tool to better monitor underlying inflation with respect to its main drivers. Empirical findings show that about one-third of the consumer basket is affected by the output gap. Remaining items that are found to be insensitive to business cycle extensively co-move with import prices and exchange rate. The results imply that controlling inflation through counter-cyclical policies may be a more challenging issue, especially when external factors work in the opposite direction. Policy efforts to reduce exchange rate volatility and import content of aggregate production are as important as cyclical policies geared toward steering the economy with respect to its potential.
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