Tomas Lindström
Additional contact information
Tomas Lindström: Monetary Policy Department, Central Bank of Sweden, Postal: Sveriges Riksbank, SE-103 37 Stockholm, Sweden
Abstract: An examination of Swedish manufacturing data on real output and qualitative business tendency survey (BTS) responses from 1968 through 1998 reveals that survey-based attitude data typically improve the fit of simple autoprojective models of manufacturing output growth. It also turns out that traditional autoregressive distributed lag (ADL) models based on business survey data can provide more accurate one-quarter-ahead forecasts of output growth than naive alternatives. Another finding is that when BTS variables concerning ex post (ex ante) output growth are included in the empirical specifications, then no other ex post (ex ante) business survey variables seems to include any additional information about output growth.
Keywords: Business cycles; Economic indicators; Manufacturing; Survey data; Time-series models
29 pages, November 1, 2000
Full text files
wp_116.pdf
Questions (including download problems) about the papers in this series should be directed to Lena Löfgren ()
Report other problems with accessing this service to Sune Karlsson ().
RePEc:hhs:rbnkwp:0116This page generated on 2024-09-13 22:16:57.