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Prognozy kombinowane wskaznikow makroekonomicznych z uzyciem danych z testow koniunktury

100%

Bialowolski P. , Kuszewski T. , Witkowski B.

Contemporary Economics

2010

nr 4(16)

41-58

Current economic crisis shed dark light on the possibilities of creating a valuable and reliable short and medium term forecasts with the use of the most commonly applied econometric models in the structural or autoregressive form (SVAR, VAR), but also models of the general equilibrium (CGE, DSGE). The models failed to forecast especially at the verge of the crisis when the information on upcoming peak in the business cycle would be of the highest value. This situation was a stimulus to undertake research oriented at creating a family of models that would react faster and with higher precision to dynamic changes in the economic environment. As a result it is expected that a family of models will be specified, identified and estimated. They should provide leading and more accurate information on basic macroeconomic variables - GDP, unemployment and inflation. Each of the specifications will be subject to two objectives: (1) the minimum ex-ante forecast error and (2) immediate and reliable accessibility of data. The database applied in the procedure will comprise of time series from the Research Institute of Economic Development (RIED) on sentiment in manufacturing industry, households, trade and construction. The series on economic activity in Poland cover the period of 1995-2009.

Detecting and predicting turning points in growth cycle using business survey data

100%

Zochowski D.

Roczniki Kolegium Analiz Ekonomicznych

2005

tom 14

185-203

The aim of this paper is to present the possibility of analyzing cyclical changes in economic activity using business tendency survey data collected by Research Institute of Economic Development (RIED). The delta cumulation concept was presented. It is a new method of aggregation of business survey data, which enables building new time series with inbuilt trends. Therefore they can be decomposed on cycle and trend component using Hodrick-Prescott filter. The cyclical components of these cumulated time series which were highly correlated with GDP cyclical component were used to estimate probit models. The aim of this part of the analysis was to find the probabilities of turning points in Polish economy. The two best models signalled all turning points in Polish growth cycle with an accuracy of two quarters. The out-of-sample turning point was signalled with two quarters lead.The research confirmed the usefulness of RIED business tendency survey data in analysis of waves in economic activity and in predicting turning points in growth cycle in Poland during transition period.