不完全信息与动态推测变差

Imperfect Information and Dynamic Conjectural Variations

RAND Journal of Economics · 1985
被引 134
人大 AFT50ABS 4

中文导读

分析企业在不完全了解市场需求曲线演变时如何互动,构建两期古诺模型,发现企业会形成负向动态推测变差,即增加产量会通过价格信号误导对手降低未来产量。

Abstract

This article analyzes oligopoly interaction in an environment where firms are imperfectly informed about the evolution of the market demand curve. The analysis develops a two-period Cournot framework under the assumptions that demand shifts are positively serially correlated, that firms never directly observe the demand curve, and that firms never observe the previous quantity decisions of rivals. Firms do draw inferences about the position of the demand curve from past observations on prices. Consequently, the current output of a firm will influence the current market price, which will then influence rivals' inferences about future demand. The future output decisions of rivals will respond accordingly. The theory predicts negative dynamic conjectural variations. Essentially, a firm perceives that an increase in its output will lower the current market-clearing price, which will cause rival firms to think that the demand curve has shifted down and hence induce them to lower their outputs in the future.

不完全信息动态推测变差寡头竞争两期古诺模型