The Estimation of Traditional Phillips Curve

Algirdas Bartkus
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Abstract

This article presents theoretical foundations for original Phillips curve formulation and an empirical investigation, where the structure of the theoretical model serves as a template for the creation of the empirical model.For a couple of decades the majority of empirical Phillips curve type assessments are performed using the New Keynesian Phillips curve with Calvo pricing as a benchmark for this type of relationship. New Keynesian model has solid microeconomic foundations, has proved itself very well in the analysis of price stickiness; nevertheless, it is not without limitations. The main insufficiency of New Keynesian model is that it has no direct links to the conditions and the changes that occur in the labour market. The need to encompass the conditions in labour market comes from the coincides that occur time to time when the growth rates of aggregate production may diminish or even become negative, but the level of employment may stay the same, what in turn means that the pressure on inflation won’t drop, despite the fact that production level has not increased as expected or even has decreased. This article aims to fill this gap and presents alternative theoretical foundations for Phillips curve, that lead to the model with direct links to the labour market. Theoretical foundations are necessary as they may help to minimize the risks to miss some important details or to omit important factors. Although the empirical analysis in this paper is based on Lithuanian data, it is not country specific.
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传统菲利普斯曲线的估计
本文提出了原始菲利普斯曲线公式的理论基础和实证研究,其中理论模型的结构为实证模型的创建提供了模板。几十年来,大多数实证菲利普斯曲线类型评估都是使用新凯恩斯主义菲利普斯曲线和卡尔沃定价作为这种关系的基准来进行的。新凯恩斯主义模型具有坚实的微观经济学基础,在价格粘性分析中得到了很好的证明;然而,它并非没有局限性。新凯恩斯主义模型的主要不足是它与劳动力市场中发生的条件和变化没有直接联系。将劳动力市场状况纳入其中的必要性来自于这样一种偶然性,即总生产增长率可能下降甚至变为负值,但就业水平可能保持不变,这反过来意味着通胀压力不会下降,尽管生产水平没有像预期的那样增长,甚至有所下降。本文旨在填补这一空白,并提出菲利普斯曲线的替代理论基础,从而导致模型与劳动力市场的直接联系。理论基础是必要的,因为它们可以帮助最大限度地减少遗漏一些重要细节或忽略重要因素的风险。虽然本文的实证分析是基于立陶宛的数据,但并非针对具体国家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ekonomika Vilniaus Universitetas
Ekonomika Vilniaus Universitetas Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
1.40
自引率
0.00%
发文量
15
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