Industrial Market Forecasting with Anticipations Data

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Abstract
A forecasting model for industrial markets is developed and illustrated that utilizes publicly available data on anticipated future capital spending and sales. The model is based upon input demand functions derived from a fixed coefficient production function. Since the proposed forecasting method is easy to implement and offers the prospect of reasonably accurate forecasts, it may serve not only as a principal forecast technique but also as a standard of performance against which more elaborate and costly procedures are judged.

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