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Wyszukujesz frazę "Inflation modelling" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Modelling Inflation Using Markov Switching Models: Case of Poland, 1992 – 2005
Autorzy:
Białowolski, Piotr
Zwiernik, Piotr
Żochowski, Dawid
Powiązania:
https://bibliotekanauki.pl/articles/500116.pdf
Data publikacji:
2011
Wydawca:
Szkoła Główna Handlowa w Warszawie
Tematy:
Markov Switching Models
Inflation modelling
Leading Indicators
Opis:
We investigate inflation in Poland in the period of economic transition by examining the potential application of Markov Switching Models to model the inflation generating process in Poland. The time horizon of analysis was limited to the period between March 1992 and October 2005 defined as the process of disinflation, i.e. the process of continued decrease in inflation rates following the economic transition period in early 1990s which was accompanied by a high level of inflation. According to the Ball-Friedman hypothesis, variation of inflation during periods of high inflation can be unstable. Indeed, the results show that non-linear models significantly improve the description of inflation generating process in Poland. Apart from univariate Markov Models, we also use a model that incorporates inflation expectations measured by Future Inflation Indicator (FII). We find that the model, where lagged values of FII are included as exogenous variables is significantly better in modelling inflation than simple univariate Markov Model.
Źródło:
Prace i Materiały Instytutu Rozwoju Gospodarczego SGH; 2011, 86:Business Surveys, Business Cycles. Polish Contribution to the 30th CIRET Conference; 185-199
0866-9503
Pojawia się w:
Prace i Materiały Instytutu Rozwoju Gospodarczego SGH
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Latent factor growth models for forecasting Polish GDP growth, inflation and unemployment using survey data
Autorzy:
Białowolski, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/500358.pdf
Data publikacji:
2015
Wydawca:
Szkoła Główna Handlowa w Warszawie
Tematy:
latent factor growth modelling
forecasting
GDP growth
inflation
unemployment
Opis:
In this paper a novel application of latent factor growth models is applied to responses to the manufacturing industry tendency survey conducted by the Research Institute for Economic Development, Warsaw School of Economics. An approach based on a common factor was assumed to explain variation in time response to specific questions drawn from the survey questionnaire. It was demonstrated that responses to questions relating to general economic situation in Poland, inflation and employment were explained by a latent growth factor, which was confirmed by RMSEA. Using cross-correlation and an ARIMAX model, it was shown that slopes obtained from latent factor growth models could be applied to forecasting or at least nowcasting of GDP growth and unemployment rate. Survey data of the type described clearly offer potential for refinement of economic projections and it is hoped that this work might stimulate further discussion of the methodology based on latent factor growth modeling for forecasting main macroeconomic time series.
Źródło:
Prace i Materiały Instytutu Rozwoju Gospodarczego SGH; 2015, 96: Analyzing and forecasting economic fluctuations; 69-93
0866-9503
Pojawia się w:
Prace i Materiały Instytutu Rozwoju Gospodarczego SGH
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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