Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2010 | 4(16) | 41-58

Article title

Prognozy kombinowane wskaznikow makroekonomicznych z uzyciem danych z testow koniunktury

Title variants

EN
BUSINESS SURVEY DATA IN FORECASTING MACROECONOMIC INDICATORS WITH COMBINED FORECASTS

Languages of publication

PL

Abstracts

EN
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.

Year

Issue

Pages

41-58

Physical description

Document type

ARTICLE

Contributors

  • Piotr Bialowolski, Tomasz Kuszewski, Bartosz Witkowski: Szkola Glowna Handlowa, Al. Niepodleglosci 162, 02-554 Warszawa, Poland

References

Document Type

Publication order reference

Identifiers

CEJSH db identifier
11PLAAAA09161

YADDA identifier

bwmeta1.element.257242e0-5dee-3e88-b257-50ff9c9deebd
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.