Description: Two global-value-chain decompositions are implemented. Firstly, the
Wang-Wei-Zhu (Wang, Wei, and Zhu, 2013) algorithm splits bilateral gross exports
into 16 value-added components. Secondly, the Leontief decomposition (default)
derives the value added origin of exports by country and industry, which is also
based on Wang, Wei, and Zhu (Wang, Z., S.-J. Wei, and K. Zhu. 2013. "Quantifying
International Production Sharing at the Bilateral and Sector Levels.").
"Kummritz", role = "aut"), person("Oliver", "Reiter", role = "ctb") )

Description: Three global value chain (GVC) decompositions are implemented.
The Leontief decomposition derives the value added origin of exports by
country and industry as in Hummels, Ishii and Yi (2001). The Koopman,
Wang and Wei (2014) decomposition splits country-level exports into 9
value added components, and the Wang, Wei and Zhu (2013) decomposition
splits bilateral exports into 16 value added components. Various GVC
indicators based on these decompositions are computed in the
Hummels, D., Ishii, J., & Yi, K. M. (2001). The nature and growth of
vertical specialization in world trade. Journal of international
Koopman, R., Wang, Z., & Wei, S. J. (2014). Tracing value-added and double
counting in gross exports. American Economic Review, 104(2), 459-94.
Wang, Z., Wei, S. J., & Zhu, K. (2013). Quantifying international production
sharing at the bilateral and sector levels (No. w19677).
person("Bastiaan", "Quast", role = c("aut", "cre"),
person("Victor", "Kummritz", role = "aut"),
person("Oliver", "Reiter", role = "ctb"),
person("Sebastian", "Krantz", role = "ctb")
Suggests: gvc, testthat, knitr, rmarkdown

person("Victor", "Stolzenburg", role = "aut"),
Author: Bastiaan Quast [aut, cre] (<https://orcid.org/0000-0002-2951-3577>),

Title: Deconvolution Estimation in Measurement Error Models
Author: Xiao-Feng Wang <wangx6@ccf.org>, Bin Wang
Description: This package contains a collection of functions to deal
with nonparametric measurement error problems using
deconvolution kernel methods. See "Deconvolution Estimation in
Measurement Error Models: The R Package decon" by Wang, X.F.