2014
DOI: 10.1016/j.jinteco.2013.12.001
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Estimating the extensive margin of trade

Abstract: Understanding and quantifying the determinants of the number of sectors or firms exporting in a given country is of relevance for the assessment of trade policies. Estimation of models for the number of exporting sectors, however, poses a challenge because the dependent variable has both a lower and an upper bound, implying that the partial effects of the explanatory variables on the conditional mean of the dependent variable cannot be constant. We argue that ignoring these bounds can lead to erroneous conclus… Show more

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Cited by 52 publications
(25 citation statements)
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“…As recently highlighted by Santos Silva et al , the number of exported products used as dependent variable, can give rise to specific problems. First the number of products being exported is a count variable, and therefore bounded below by zero.…”
Section: Empirical Model and Econometric Issuesmentioning
confidence: 99%
See 1 more Smart Citation
“…As recently highlighted by Santos Silva et al , the number of exported products used as dependent variable, can give rise to specific problems. First the number of products being exported is a count variable, and therefore bounded below by zero.…”
Section: Empirical Model and Econometric Issuesmentioning
confidence: 99%
“…Second, we use different estimators for our gravity model of the extensive margin. Besides the standard Poisson pseudo maximum likelihood (PPML), we also use the flexible estimator recently proposed by Santos Silva et al (). Indeed, as recently shown by these authors, the number of exported products has both a lower and an upper bound.…”
Section: Introductionmentioning
confidence: 99%
“…Feenstra () performs estimations based on country fixed effects (FE) and finds that controlling for country FE gives consistent estimates, taking into account the MR terms. Therefore, in the trade literature, from the birth of the structural gravity model with the MRs, there is a tendency to estimate the model with country FE and pair variables and exclude all country‐specific variables (Anderson, Vesselovsky, & Yotov, ; Fally, ; Helpman et al, ; Santos Silva, Tenreyro, & Wei, ). The main estimation equation in these studies is of the form:Tradeitalicij=β1i-dummy+β2j-dummy+β3Xitalicij+εitalicij,…”
Section: Discussion On the Multilateral Resistance Termsmentioning
confidence: 99%
“…Feenstra (2004) performs estimations based on country fixed effects (FE) and finds that controlling for country FE gives consistent estimates, taking into account the MR terms. Therefore, in the trade literature, from the birth of the structural gravity (Anderson, Vesselovsky, & Yotov, 2016;Fally, 2015;Helpman et al, 2008;Santos Silva, Tenreyro, & Wei, 2014). The main estimation equation in these studies is of the form:…”
Section: Resistance Termsmentioning
confidence: 99%
“…As shown by Santos Silva et al. (), ignoring the upper bound can give misleading results. They suggest using a flexible pseudo‐maximum likelihood estimator to get more reliable results.…”
mentioning
confidence: 98%