Pricing strategies and economic uncertainty

In August 2019 an unexpected presidential election result caused achange in expected exchange and inflation rates. The objective of this study is toanalyze the relation between market share and the decision of increasing prices inthe pharmaceutical industry in Argentina.Methods: Online weekly data on variations of some medicine’s prices were obtainedusing web scraping, and then classification algorithms (Random Forests, GradientBoosting Machine and logistic regression) were applied.Results: The results were mixed: market share was found to have high importancein tree-based methods. (Random Forests and Gradient Boosting Machine).However, in logistic regression, this variable wasn’t significant.Conclusions: Exchange rate volatility after the election result caused severalchanges on price expectations, and pharmaceutical market structure influencedthe resulting price reactions. Laboratories which owned a higher market share rosetheir prices first.

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Publication Details

Journal
Revista de Métodos Cuantitativos para la Economía y la Empresa
Published
2024-12-03
DOI
https://doi.org/10.46661/rev.metodoscuant.econ.empresa.6407
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
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article

Pricing strategies and economic uncertainty

Leandro Meller, Juan Marcelo Virdis, Diego Leandro Domínguez, Emiliano Gutiérrez
Revista de Métodos Cuantitativos para la Economía y la Empresa
Market Dynamics and Volatility
article

Pricing strategies and economic uncertainty

Leandro Meller, Juan Marcelo Virdis, Diego Leandro Domínguez, Emiliano Gutiérrez
article en

Abstract

In August 2019 an unexpected presidential election result caused achange in expected exchange and inflation rates. The objective of this study is toanalyze the relation between market share and the decision of increasing prices inthe pharmaceutical industry in Argentina.Methods: Online weekly data on variations of some medicine’s prices were obtainedusing web scraping, and then classification algorithms (Random Forests, GradientBoosting Machine and logistic regression) were applied.Results: The results were mixed: market share was found to have high importancein tree-based methods. (Random Forests and Gradient Boosting Machine).However, in logistic regression, this variable wasn’t significant.Conclusions: Exchange rate volatility after the election result caused severalchanges on price expectations, and pharmaceutical market structure influencedthe resulting price reactions. Laboratories which owned a higher market share rosetheir prices first.

Revista de Métodos Cuantitativos para la Economía y la EmpresaVol. 38
Consejo Nacional de Investigaciones Científicas y Técnicas (AR), Institute of Economic and Social Development (AR), Instituto de Investigaciones Económicas y Sociales del Sur, Universidad Nacional del Sur (AR)
Openalex Percentile: Top 73%
Market Dynamics and Volatility
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