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Robust Estimates of the New Keynesian Phillips Curve

Paul Levine, Luís F. Martins, Vasco J. Gabriel

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Abstract

In this paper, we examine the hybrid specification of the New Keynesian Phillips Curve (NKPC) proposed by Gali and Gertler (1999) by employing recently developed momentconditions inference procedures. These methods provide a more efficient and reliable econometric framework for the analysis of the NKPC. In particular, we address the issue of parameter identification, providing robust estimates and confidence sets for the model’s parameters. Our results show that the NKPC remains a valid and reliable empirical tool to explain inflation dynamics.

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What this paper is about

In this paper, we examine the hybrid specification of the New Keynesian Phillips Curve (NKPC) proposed by Gali and Gertler (1999) by employing recently developed momentconditions inference procedures. These methods provide a more efficient and reliable econometric framework for the analysis of the NKPC. In particular, we address the issue of parameter identification, providing robust estimates and confidence sets for the model’s parameters. Our results show that the NKPC remains a valid and reliable empirical tool to explain inflation dynamics.

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Available abstract

In this paper, we examine the hybrid specification of the New Keynesian Phillips Curve (NKPC) proposed by Gali and Gertler (1999) by employing recently developed momentconditions inference procedures. These methods provide a more efficient and reliable econometric framework for the analysis of the NKPC. In particular, we address the issue of parameter identification, providing robust estimates and confidence sets for the model’s parameters. Our results show that the NKPC remains a valid and reliable empirical tool to explain inflation dynamics.

Key concepts: Phillips curve, New Keynesian economics, Inflation (cosmology), Econometrics, Inference, Economics, Identification (biology), Indirect Inference

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