Further Simulation Evidence on the Performance of the Poisson Pseudo-Maximum Likelihood Estimator

By J. S. Silva, Silvana Tenreyro. 2011

328 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Finance

View Paper: https://www.semanticscholar.org/paper/65ef2487c11d23eb174f654f87312a9dc0f9cb83

Citations in the corpus

• Climatic Factors as Determinants of International Migration (2015, unknown): “The second bias is more subtle and has been clearly identified by Santos-Silva and Tenreyro (2006).”
• Estimating Trade Policy Effects with Structural Gravity (2016, unknown): “However, this procedure has to be applied with caution because it is a non-linear transformation (as is the log-transformation), which means that with heteroskedastic trade data one may end up with inconsistent estimates, cf. Santos Silva and Tenreyro (2006).”
• Can You Gig It? An Empirical Examination of the Gig Economy and Entrepreneurial Activity (2018, unknown): “Further, due to the concerns raised by O’Hara and Kotze (2010), as well as Silva and Tenreyro (2006, 2011), we focus exclusively on the PPML count estimator.”
• Structural Gravity and Fixed Effects (2015, unknown): “Santos Silva and Tenreyro (2011) provide additional evidence on the good performance of PPML by also allowing for a large fraction of zeros.”
• The Gravity Model for International Trade: Specification and Estimation Issues (2015, unknown): “Santos Silva & Tenreyro (2006, 2010, 2011) provide simulation evidence that the PPML estimator is well behaved even when the conditional variance is far from being proportional to the conditional mean.”
• Disentangling Demand-Enhancing and Trade-Cost Effects of Maximum Residue Regulations (2014, unknown): “13 Another estimator capable of capturing zero trade flows is the Poisson Pseudo Maximum Likelihood (PPML) estimator (Santos Silva and Tenreyro, 2006).”
• The Effects of Financial Development on Foreign Direct Investment (2014, unknown): “Santos Silva and Tenreyro (2011) show that the Poisson quasi-maximum likelihood estimator (QMLE) is well behaved even in the presence of a large number of zeros in the sample.”
• North-South Standards Harmonization and International Trade (2013, unknown): “While this approach offers a better understanding of the determinants of trade flows, it provides biased estimates in the presence of heteroskedasticity in trade data (Santos Silva and Tenreyro, 2009).”
• The Effect of Product Standards on Agricultural Exports (2013, unknown): “The HMR model and more generally the gravity model of trade, are commonly criticized because the log-linearization of the variables can lead to biased estimations in the presence of heteroskedasticity as shown by Santos Silva and Tenreyro (2006, 2011).”