2016
DOI: 10.1111/twec.12442
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Why do within‐firm–product export prices differ across markets? Evidence from Hungary

Abstract: In this study, we analyse the relationship between distance and f.o.b. export unit values using firm–product–destination data from Hungarian manufacturing. Using 10‐digit Harmonized System data, we show that a doubling of distance is associated with about 7.5 per cent increase in the average product‐level price, from which five percentage points can be attributed to within‐firm–product variation. We run a number of tests to look for heterogeneity in this pattern. Interestingly, the measured effect is very simi… Show more

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Cited by 55 publications
(63 citation statements)
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References 27 publications
(41 reference statements)
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“…In addition to the fixed-costs assumption, the lack of increase in exports to third countries stems from the assumption of market segmentation. This former assumption is widely documented in the literature (Engel and Rogers 2001;Görg et al 2010) and warrants that changes in market aggregates in one country do not spill over directly to other markets (they may do so only over time, due to an overall reallocation of productive resources in the economies).…”
Section: Trade and Market Outcomesmentioning
confidence: 99%
“…In addition to the fixed-costs assumption, the lack of increase in exports to third countries stems from the assumption of market segmentation. This former assumption is widely documented in the literature (Engel and Rogers 2001;Görg et al 2010) and warrants that changes in market aggregates in one country do not spill over directly to other markets (they may do so only over time, due to an overall reallocation of productive resources in the economies).…”
Section: Trade and Market Outcomesmentioning
confidence: 99%
“…As we discuss in greater detail below, this literature uses the FOB value per unit of volume as the measure of product quality, under a tacit assumption of pure vertical differentiation. In the case of the relationship between product quality and the income level of export destination countries, papers showing a systematic correlation between both include Hallak (2006); Bastos and Silva (2010); Görg, Halpern and Murakozy (2010); Baldwin and Harrigan (2011); Manova and Zhang (2012); Martin (2012); Brambilla, Lederman and Porto (2012); Brambilla and Porto (2016). For example, Bastos and Silva (2010) use data from Portuguese manufacturing firms to show that the FOB values per unit of the exported products by Portuguese firms are positively correlated with the income per worker, the distance, and the size (i.e.…”
Section: Related Literaturementioning
confidence: 99%
“…Bustos(2011) [6] and Matsuyama(2007) [7] suggest that the exporting firms use better technology and hire more skilled labor. Further, many literatures the features of the exporting destination, such as income, quality preference, distance and special custom affect the exporting firm' behavior (Bastos and Silva 2010 [8] ; Gorg et al 2010 [9] ;Hummels and Skiba 2004 [10] ;Manova and Zhang 2012 [11] ;Martin 2012 [12] ). Eaton et al (2011) [13] proposes a theoretical model about productivity heterogeneity and the choice of export destinations, namely EKK model.…”
Section: Introductionmentioning
confidence: 98%