This paper surveys the recent literature on inflation forecasting and conducts an extensive empirical analysis on forecasting inflation in Singapore, Japan, South Korea and Hong Kong paying particular attention to whether the inflation-markup theory can help to forecast inflation. We first review the relative performance of different predictors in forecasting h-quarter ahead inflation using single equations. These models include the autoregressive model and bivariate Philips curve models. The predictors are selected from business activity, financial activity, trade activity, labour market, interest rate market, money market, exchange rate market and global commodity market variables. We then evaluate a vector autoregressive inflation-markup model against the single equation models to understand whether there is any gain in forecasting using the inflation-markup theory. The paper subsequently analyses the robustness of these results by examining different forecasting procedures in the presence of structural breaks.
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Freddy LIEW Chian Fatt (Mr)Address: Block 310B Ang Mo Kio Avenue 1 #08-379 Singapore 562310 Marital Status: Married Philosophy: When there is a will, there is a wayProfession: Economic Lecturer
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This paper surveys the recent literature on inflation forecasting and conducts an extensive empirical analysis on forecasting inflation in Singapore, Japan, South Korea and Hong Kong paying particular attention to whether the inflation-markup theory can help to forecast inflation. We first review the relative performance of different predictors in forecasting h-quarter ahead inflation using single equations. These models include the autoregressive model and bivariate Philips curve models. The predictors are selected from business activity, financial activity, trade activity, labour market, interest rate market, money market, exchange rate market and global commodity market variables. We then evaluate a vector autoregressive inflation-markup model against the single equation models to understand whether there is any gain in forecasting using the inflation-markup theory. The paper subsequently analyses the robustness of these results by examining different forecasting procedures in the presence of structural breaks. 68 pp. Englisch. Seller Inventory # 9783846500996
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This paper surveys the recent literature on inflation forecasting and conducts an extensive empirical analysis on forecasting inflation in Singapore, Japan, South Korea and Hong Kong paying particular attention to whether the inflation-markup theory can help to forecast inflation. We first review the relative performance of different predictors in forecasting h-quarter ahead inflation using single equations. These models include the autoregressive model and bivariate Philips curve models. The predictors are selected from business activity, financial activity, trade activity, labour market, interest rate market, money market, exchange rate market and global commodity market variables. We then evaluate a vector autoregressive inflation-markup model against the single equation models to understand whether there is any gain in forecasting using the inflation-markup theory. The paper subsequently analyses the robustness of these results by examining different forecasting procedures in the presence of structural breaks.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Seller Inventory # 9783846500996
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This paper surveys the recent literature on inflation forecasting and conducts an extensive empirical analysis on forecasting inflation in Singapore, Japan, South Korea and Hong Kong paying particular attention to whether the inflation-markup theory can help to forecast inflation. We first review the relative performance of different predictors in forecasting h-quarter ahead inflation using single equations. These models include the autoregressive model and bivariate Philips curve models. The predictors are selected from business activity, financial activity, trade activity, labour market, interest rate market, money market, exchange rate market and global commodity market variables. We then evaluate a vector autoregressive inflation-markup model against the single equation models to understand whether there is any gain in forecasting using the inflation-markup theory. The paper subsequently analyses the robustness of these results by examining different forecasting procedures in the presence of structural breaks. Seller Inventory # 9783846500996
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