2007대한경영학회 학술발표대회 발표논문집Requires access

A Study for Developing an Economic Indicator System for the Restaurant Industry

Jeong-Gil Choi

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Abstract

This study supports the view that the cyclical fluctuations of the growth of the restaurant industry can be projected by measuring and analyzing series of economic indicators and each economic indicator has specific characteristics in terms of time lags, and thus can be classified into leading, coincident, and lagging indicators. This study formed a set of composite indices with twelve indicators classified in the leading category, six as coincident, and twenty-one as lagging. The performances of the indicator system demonstrated that the system has great potential as a forecasting method.

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What this paper is about

This study supports the view that the cyclical fluctuations of the growth of the restaurant industry can be projected by measuring and analyzing series of economic indicators and each economic indicator has specific characteristics in terms of time lags, and thus can be classified into leading, coincident, and lagging indicators. This study formed a set of composite indices with twelve indicators classified in the leading category, six as coincident, and twenty-one as lagging. The performances of the indicator system demonstrated that the system has great potential as a forecasting method.

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Available abstract

This study supports the view that the cyclical fluctuations of the growth of the restaurant industry can be projected by measuring and analyzing series of economic indicators and each economic indicator has specific characteristics in terms of time lags, and thus can be classified into leading, coincident, and lagging indicators. This study formed a set of composite indices with twelve indicators classified in the leading category, six as coincident, and twenty-one as lagging. The performances of the indicator system demonstrated that the system has great potential as a forecasting method.

Key concepts: Lagging, Economic indicator, Composite indicator, Econometrics, Economic forecasting, Performance indicator, Business, Economics

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