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. 2021 Mar 30;45(2):561–589. doi: 10.1111/twec.13117

TABLE A5.

The role of homogenous goods, OLS regression results

Framework Variables (1) (2) (3) (4)
growthijkt growthijkt growthijkt growthijkt
Exporter supply shock*sector characteristic work mobilityit *remoteik 1.077 *** 1.187 ***
(0.398) (0.397)
work mobilityit *gvcil 1.285 ** 1.412 ***
(0.521) (0.520)
Partner demand shock*sector characteristic retail mobilityjt *homog_conk −0.402 *** −0.321 ***
(0.064) (0.070)
retail mobilityjt *homog_libk −0.336 *** −0.252 ***
(0.060) (0.065)
retail mobilityjt *gvc partnerjk −0.199 *** −0.221 *** −0.194 *** −0.222 ***
(0.073) (0.074) (0.073) (0.074)
Third country supply shock competition shockijkt 0.338* 0.306*
(0.180) (0.179)
upstream shockilt 1.891 ** 1.901 **
(0.887) (0.889)
global outputmt 0.865 *** 0.829 *** 0.912 *** 0.862 ***
(0.156) (0.166) (0.156) (0.165)
Constant 0.696*** 1.118*** 0.701*** 1.142***
(0.019) (0.105) (0.019) (0.105)
Observations 496,295 496,295 496,295 496,295
R‐squared .424 .424 .424 .424
Exporter‐time FE Yes Yes Yes Yes
Importer‐time FE Yes Yes Yes Yes
Exporter‐partner‐sector FE Yes Yes Yes Yes
Sector‐time FE Yes Yes Yes Yes
Cluster Exporter‐partner Exporter‐partner Exporter‐partner Exporter‐partner

Robust standard errors in parentheses. Sector‐time fixed effects control for unobserved effects affecting aggregated sectors over time (see Footnote 10). The variable global outputmt additionally controls for global sector‐time trends. The share of homogenous products traded on an organized exchange in a sector is based on the Rauch classification and serves as inverse measure of a sector's average share of differentiated products. We apply both a more conservative (homog_conk ) and a more liberal classification (homog_libk ) of homogenous products.

***

p < .01.

**

p < .05.

*

p < .1.