
Description This dataset contains the market power of exporters at the country level for more than 4000 6-digit HS codes (HS 1992 / H0) from Solleder (2020). Market power is proxied by the inverse of the import demand elasticity faced by the exporting country. Elasticities are estimated following the method developed by Kee et al. (2008). For more information, please refer to Solleder (2020). The dta file can be opened with STATA 14 or above. The csv file is a comma-separated value file. The separator is ',', and the first row is variable names. The content is the same in both files. Variables are: exporter: ISO 3166 3-character country codes, string; commoditycode: product 6-digit HS codes in HS revision 1992 (H0), string; epsilon: import demand elasticity faced by the exporter, numeric; epsilon_se: standard error of epsilon, numeric; marketpower: market power, inverse of the absolute value of the import demand elasticity faced by the exporter, numeric. Reference Kee H.L., A. Nicita, M. Olarreaga 2008 'Import demand elasticities and trade distortions' Rev. Econ. Stat., 90 (4), pp. 666-682 Solleder J.M. 2020 'Market power and export taxes' European Economic Review, Volume 125, 103425, ISSN 0014-2921, https://doi.org/10.1016/j.euroecorev.2020.103425.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
