Forecasting inflation remains an intriguing research topic among academics and practitioners alike. Recent studies by … or other macroeconomic and financial variables for the purpose of forecasting inflation. In particular, it is found that … Bayesian Averaging of Classical Estimates (BACE) for forecasting inflation. Based upon the idea of model averaging, the BACE …

One of the key inputs for inflation targeting regime is the right identification of inflationary or disinflationary … gap an inflation rate (Phillips Curve) and structural restrictions over output stochastic dynamics. The estimation is … problems and exhibits more relation with the Peruvian inflation process than other estimates, calculated with the Hodrick …

. The theory and empirical results together help explain the persistence of cross-country differences in TFP and provide …

Human capital plays an important role in the theory of economic growth, but it has been difficult to measure this …

knowledge will lead to technical progress. In this paper we present a method based on index number theory for estimating …

New Keynesian Phillips curve (NKPC). This model posits the dynamics of inflation as being forward-looking and related to …

importance of modelling a system that includes the forcing variables as well as the rate of inflation is emphasized. We also …

greatly redcues the prediction mean squared error of forecasts of U.S. CPI inflation at horizons of one month and one year …

. Robustly to alternative definitions of the relative price, identification schemes dictated by two-sided (S,s) pricing theory …By placing store-level price data into bivariate Structural VAR models of inflation and relative price asymmetry, this … forecast error variance in inflation at the 12-month horizon. While the contemporaneous correlation between inflation and …