Inflation Targeting Regimes in Emerging Market Economies: To Invest or Not to Invest?

Douglas Silveira, Ricardo Barbosa Lima Mendes Oscar
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Abstract

We propose a stochastic learning rule through an Agent-based Model (ABM) to understand how emerging market economies (EMEs) can achieve high levels of investment, given the announced inflation target rate. The central banks act as a pseudo-player, choosing between the pursued target inflation rate or a negative inflation rate. By taking this action as given, bounded-rational firms and workers iteratively play a two-population well-mixed evolutionary game to make investment decisions. Our findings show that when inflation converges to its target, less the central planners' effort to reach the steady-state with investment coordination. When central banks target a negative inflation rate, it can speed up the EMEs' convergence to a steady-state with agents coordinating their investment strategies. It shed some light on central banks' transparency and credibility to avoid the so-called debt-deflation spiral, which typically increases the uncertainty in EMEs, limiting the investments in the economy.
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新兴市场经济体的通胀目标制:投资还是不投资?
我们提出了一个随机学习规则,通过基于主体的模型(ABM)来理解新兴市场经济体(eme)如何在给定宣布的通胀目标率的情况下实现高水平的投资。中央银行扮演一个伪玩家的角色,在追求的目标通胀率和负通胀率之间做出选择。通过将这一行为视为给定,有限理性企业和工人迭代地进行两种群良好混合的进化博弈来做出投资决策。我们的研究结果表明,当通胀趋近其目标时,中央计划者通过投资协调达到稳定状态的努力就会减少。当央行以负通胀率为目标时,它可以加速eme向稳定状态的趋同,各主体协调各自的投资策略。它在一定程度上揭示了央行的透明度和可信度,以避免所谓的债务-通缩螺旋,这种螺旋通常会增加新兴市场的不确定性,限制对经济的投资。
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