Inflation forecasting using dynamic factor analysis. SAS 4GL programming approach
| dc.contributor.author | Jędrzejczyk, Adam | |
| dc.date.accessioned | 2025-09-23T08:44:56Z | |
| dc.date.available | 2025-09-23T08:44:56Z | |
| dc.date.issued | 2012-08 | |
| dc.identifier.citation | Jędrzejczyk A. , Inflation forecasting using dynamic factor analysis. SAS 4GL programming approach, 2012, 4-12, s. 1-29 | en |
| dc.identifier.uri | http://hdl.handle.net/20.500.12182/1393 | |
| dc.description.abstract | The purpose of this article is to introduce an original macro code written in SAS 4GL. This macro is used to automate the process of forecasting with dynamic factor analysis. Automation of the process helps to save significant amounts of time and effort for the researcher. It also enables to compare different model specifications directly and, hence, to make conclusions that would be imperceptible without such automation, which is shown on the empirical study example. | en |
| dc.language.iso | en | |
| dc.rights | Dozwolony użytek | * |
| dc.subject | statistical programming | en |
| dc.subject | sorecasting | en |
| dc.subject | factor models | en |
| dc.subject | inflation | en |
| dc.subject.classification | C22 | en |
| dc.subject.classification | C53 | en |
| dc.subject.classification | C80 | en |
| dc.subject.classification | E31 | en |
| dc.title | Inflation forecasting using dynamic factor analysis. SAS 4GL programming approach | en |
| dc.type | workingPaper | en |
| dc.description.number | 4-12 | en |
| dc.description.physical | 1-29 | en |
| dc.description.series | 2084-4573 | en |
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Applied Econometrics Papers [45]
Working Papers from Department of Applied Econometrics
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