The determinants of trade costs: a random coefficient approach

Egger, Peter; Průša, Jan

doi:10.1007/s00181-015-0954-7

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…In brief, the PPML estimator should not raise concerns about bias resulting from the presence of neither heteroscedasticity (Martin and Phamb 2020) nor measurement errors (Hou 2020). There are potentially more efficient estimators but these are either developed in the context of bilateral trade analyses (Egger and Pruša 2016), or they require the adoption of uncertain assumptions concerning the specific structure of the possible measurement errors (Manning and Mullahy 2001).…”

Section: Functional Form Reverse Causality and Measurement Errormentioning

confidence: 99%

Green industrial policies and domestic production of biofuels: an econometric analysis of OECD countries

Bryngemark

Söderholm

2021

Environ Econ Policy Stud

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The purpose of this paper is to investigate the relationship between green industrial policies and domestic biofuel production among OECD countries. The analysis builds on a data set including 24 OECD countries over the time period 2000–2016. This panel is estimated using a variant of the so-called Poisson pseudo-maximum-likelihood model and includes the mix of demand-pull (biofuel blending mandates) and technology-push policies (government R&D), as well as the interaction between these two types of instruments. The results suggest a positive relationship between blending mandates and domestic biofuel production. Thus, a more stringent blending mandate does not only increase the use of biofuels, but also domestic production (as a share of total fuel use). Government R&D has not, however, induced domestic biofuel industrialization processes. The results even suggest a negative interaction effect between government R&D and blending mandates, in turn implying that these two polices target different technological fields. The blending mandates tend to primarily favor commercialized first-generation biofuels, while government support to biofuel R&D has instead been focused on advanced biofuel technology.

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Section: Functional Form Reverse Causality and Measurement Errormentioning

confidence: 99%

Green industrial policies and domestic production of biofuels: an econometric analysis of OECD countries

Bryngemark

Söderholm

2021

Environ Econ Policy Stud

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“…More recently, Chen and Novy (2011) analysed trade costs between European countries , by distinguishing among various economic sectors, thereby contributing evidence regarding important factors such as distance, non-tariff measures, and initiatives of member countries. Miroudot et al (2012) applied the same methodology to trade in services and Egger and Pruša (2016), using a random coefficient model, assessed the sensitivity of bilateral trade volumes.…”

Section: Introductionmentioning

confidence: 99%