Balance of opinion What about missing the weights?
AbstractDue to their early release, Business Tendency Surveys (BTS) are widely used in short term forecasting. Their questions are mainly qualitative; answers are most often used to calculate balances of opinions, which are defined as the difference between the proportions of positive answers with respect to the negative ones. These indicators are then used by forecasters as explanatory variables in econometric models. The balances of opinions are generally weighted with the firm size. However, there is no theoretical evidence of the efficiency of this kind of weighting. We propose here a model which aims at determining optimum weights; these weights should allow us to optimize the forecast of the macroeconomic variable. According to our analysis, the weights have to grow less than proportionally with the firm size. This conclusion is empirically tested through several examples derived from the French Industry BTS.
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Bibliographic InfoPaper provided by Institut National de la Statistique et des Etudes Economiques, DESE in its series Documents de Travail de la DESE - Working Papers of the DESE with number g2006-12.
Date of creation: 2006
Date of revision:
Business Tendency Surveys; quantification; balance of opinion; short-term forecasting;
Find related papers by JEL classification:
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
- C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
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