2021
DOI: 10.2139/ssrn.3774458
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Estimating Production Functions in Differentiated-Product Industries with Quantity Information and External Instruments

Abstract: Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Founda… Show more

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“…Additionally, government regulations and industry-specific factors can also influence how competition affects firms. The findings of this study are consistent with several other studies such as those from Garcia and Puente (2006), Hanley (2009), andBrito andBrito (2014). Nevertheless, Brito and Brito (2014) show that there is a heterogeneity effect between industries in responding to competition in the market, while Burke and Hanley (2009) reveal that the heterogeneity of firm response to market competition depends on the dynamics of entry and exit firms in markets where firms that can survive in the market if the entry and exit levels are high.…”
Section: Estimation Of Firm Survivalsupporting
confidence: 91%
“…Additionally, government regulations and industry-specific factors can also influence how competition affects firms. The findings of this study are consistent with several other studies such as those from Garcia and Puente (2006), Hanley (2009), andBrito andBrito (2014). Nevertheless, Brito and Brito (2014) show that there is a heterogeneity effect between industries in responding to competition in the market, while Burke and Hanley (2009) reveal that the heterogeneity of firm response to market competition depends on the dynamics of entry and exit firms in markets where firms that can survive in the market if the entry and exit levels are high.…”
Section: Estimation Of Firm Survivalsupporting
confidence: 91%