2013•Applied Economics LettersRequires access

Survey data and short-term forecasts of Swedish GDP growth

Pär Österholm

Open publisher page 24 citations

Abstract

In this article, we evaluate forecasting models for Swedish GDP growth which make use of data from Sweden’s most important business survey, the Economic Tendency Survey. Employing nine years of quarterly real-time data, we conduct an out-of-sample forecast exercise. Results indicate that the survey data have informational value that can be used to improve forecasts, thereby confirming the empirical relevance of survey data for GDP forecasters.

About this research paper

What this paper is about

In this article, we evaluate forecasting models for Swedish GDP growth which make use of data from Sweden’s most important business survey, the Economic Tendency Survey. Employing nine years of quarterly real-time data, we conduct an out-of-sample forecast exercise. Results indicate that the survey data have informational value that can be used to improve forecasts, thereby confirming the empirical relevance of survey data for GDP forecasters.

Why it matters

OpenAlex reports 24 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this article, we evaluate forecasting models for Swedish GDP growth which make use of data from Sweden’s most important business survey, the Economic Tendency Survey. Employing nine years of quarterly real-time data, we conduct an out-of-sample forecast exercise. Results indicate that the survey data have informational value that can be used to improve forecasts, thereby confirming the empirical relevance of survey data for GDP forecasters.

Key concepts: Survey data collection, Sample (material), Index (typography), Econometrics, Economics, Value (mathematics), Term (time), GDP deflator

Related papers

Back to paper searchBrowse research topicsOriginal source
Survey data and short-term forecasts of Swedish GDP growth — Research Paper | ScholarLens