[
Ackerberg, Daniel A.; Caves, Kevin; Frazer, Garth. (2015). Identification properties of recent production function estimators. Econometrica 83(6): 2411–2451. https://doi.org/ https://doi.org/10.3982/ECTA13408.10.3982/ECTA13408
]Search in Google Scholar
[
Antràs, Pol; Chir, Davin; Fally, Thibault; Hillberry, Russell. (2012a). Measuring the upstreamness of production and trade flows. Working Paper 17819. Working Paper Series. National Bureau of Economic Research. https://doi.org/10.3386/w17819.10.3386/w17819
]Search in Google Scholar
[
Antràs, Pol; Chir, Davin; Fally, Thibault; Hillberry, Russell. (2012b). Measuring the upstreamness of production and trade flows. American Economic Review 102(3): 412–416. https://doi.org/10.1257/aer.102.3.412.10.1257/aer.102.3.412
]Search in Google Scholar
[
Aust, Frederik; Barth, Marius. (2018). papaja: Create APA manuscripts with R markdown. https://github.com/crsh/papaja.
]Search in Google Scholar
[
Bresnahan, Timothy F.; Reiss, Peter C. (1985). Dealer and manufacturer margins. The RAND Journal of Economics 16(2): 3–268.
]Search in Google Scholar
[
De Loecker, Jan. (2011). Recovering markups from production data. International Journal of Industrial Organization 29(3): 350–355.
]Search in Google Scholar
[
De Loecker, Jan; Eeckhout, Jan. (2017). The rise of market power and the macroeconomic implications. Working Paper 23687. Working Paper Series. National Bureau of Economic Research. https://doi.org/10.3386/w23687.10.3386/w23687
]Search in Google Scholar
[
De Loecker, Jan; Eeckhout, Jan. (2018). Global market power. National Bureau of Economic Research.10.3386/w24768
]Search in Google Scholar
[
De Loecker, Jan; Eeckhout, Jan; Unger, Gabriel. (2020). The Rise of Market Power and the Macroeconomic Implications. The Quarterly Journal of Economics 135(2): 561–644. https://doi.org/10.1093/qje/qjz041.10.1093/qje/qjz041
]Search in Google Scholar
[
De Loecker, Jan; Goldberg, Pinelopi K.; Khandelwal, Amit K.; Pavcnik, Nina. (2016). Prices, markups, and trade reform. Econometrica 84(2): 445–510. https://doi.org/10.3982/ECTA11042.10.3982/ECTA11042
]Search in Google Scholar
[
De Loecker, Jan; Warzynski, Frederic. (2012). Markups and firm-level export status. The American Economic Review 102(6): 2437–2471. http://www.jstor.org/stable/41724661.
]Search in Google Scholar
[
Ennis, Sean F.; Gonzaga, Pedro; Pike, Chris. (2019). Inequality: A hidden cost of market power. Oxford Review of Economic Policy 35(3): 518–549. https://doi.org/10.1093/oxrep/grz017.10.1093/oxrep/grz017
]Search in Google Scholar
[
Erumban, Abdul Azeez; Gouma, Reitze; de Vries, Gaaitzen; de Vries, Klaas; Timmer, Marcel. (2012). WIOD socio-economic accounts (SEA): Sources and methods. http://www.wiod.org/publications/source_docs/SEA_Sources.pdf.
]Search in Google Scholar
[
Hall, Robert E. 1988. The relation between price and marginal cost in U.S. industry. Journal of Political Economy 96(5): 921–947. https://doi.org/10.1086/261570. (2018). New evidence on the markup of prices over marginal costs and the role of mega-firms in the US economy. Working Paper 24574. Working Paper Series. National Bureau of Economic Research. https://doi.org/10.3386/w24574.10.3386/w24574
]Search in Google Scholar
[
Hall, Robert E.; Blanchard, Olivier Jean; Hubbard, R. Glenn. (1986). Market structure and macroeconomic fluctuations. Brookings Papers on Economic Activity 1986(2): 285–338.
]Search in Google Scholar
[
Han, Minsoo; Pyun, Ju Hyun. 2020. Markups and income inequality: Causal links, 1975–2011. Journal of Comparative Economics. https://doi.org/ https://doi.org/10.1016/j.jce.2020.12.002.10.1016/j.jce.2020.12.002
]Search in Google Scholar
[
Joolman. 2020. Getting started ioanalysis v 0.3.3. https://github.com/joolman/ioanalysis/blob/master/Getting.
]Search in Google Scholar
[
Levinsohn, James; Petrin, Amil. (2003). Estimating production functions using inputs to control for unobservables. Review of Economic Studies 70(2): 317–341. https://EconPapers.repec.org/RePEc:oup:restud:v:70:y:2003:i:2:p:317-341.
]Search in Google Scholar
[
Machlup, Fritz; Taber, Martha. (1960). Bilateral monopoly, successive monopoly, and vertical integration. Economica 27(106): 101–119. http://www.jstor.org/stable/2550895.
]Search in Google Scholar
[
Montero, José Manuel; Urtasun, Alberto. (2021). Markup dynamics and financial frictions: The Spanish case. International Review of Economics & Finance 71: 316–341. https://doi.org/ https://doi.org/10.1016/j.iref.2020.08.006.10.1016/j.iref.2020.08.006
]Search in Google Scholar
[
Olley, G. Steven; Pakes, Ariel. (1996). The dynamics of productivity in the telecommunications equipment industry. Econometrica 64(6): 1263–1297. http://www.jstor.org/stable/2171831.
]Search in Google Scholar
[
Quast, Bastiaan; Reiter, Oliver. (2019). WIOD: World Input Output Database Release 2013 and Release 2016.
]Search in Google Scholar
[
R Core Team. (2019). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
]Search in Google Scholar
[
Rovigatti, Gabriele. (2017a). Production function estimation in r: The Prodest Package. Journal of Open Source Software 2(18): 371. https://doi.org/10.21105/joss.00371.10.21105/joss.00371
]Search in Google Scholar
[
Rovigatti, Gabriele. (2017b). Production function estimation in r: The Prodest Package. Working Paper.10.21105/joss.00371
]Search in Google Scholar
[
Spengler, Joseph J. (1950). Vertical integration and antitrust policy. Journal of Political Economy 58(4): 347–352.
]Search in Google Scholar
[
Thomas, Lacy Glenn. (1980). Monopoly and the distribution of wealth: A reappraisal. The Quarterly Journal of Economics 94(1): 185–194. http://www.jstor.org/stable/1884612.
]Search in Google Scholar
[
Timmer, Marcel P.; Dietzenbacher, Erik; Los, Bart; Stehrer, Robert; de Vries, Gaaitzen J. (2015). An illustrated user guide to the World Input-Output Database: The case of global automotive production. Review of International Economics 23(3): 575–605. https://doi.org/ https://doi.org/10.1111/roie.12178.10.1111/roie.12178
]Search in Google Scholar
[
Wade, John; Sarmiento-Barbieri, Ignacio. (2019). Ioanalysis: Input output analysis. https://CRAN.R-project.org/package=ioanalysis.
]Search in Google Scholar
[
Wickham, Hadley. (2016). Ggplot2: Elegant graphics for data analysis. New York: Springer-Verlag. https://ggplot2.tidyverse.org.10.1007/978-3-319-24277-4
]Search in Google Scholar
[
Wickham, Hadley. (2017). Tidyverse: Easily install and load the ‘Tidyverse’. https://CRAN.R-project.org/package=tidyverse.
]Search in Google Scholar
[
Wickham, Hadley; Bryan, Jennifer. (2019). Readxl: Read Excel files. https://CRAN.R-project.org/package=readxl.
]Search in Google Scholar
[
WIOD-SEA. (2018). World Input-Output Database. WIOD Home. http://www.wiod.org/home.
]Search in Google Scholar
[
World IO Tables. (2018). World Input-Output Database. http://www.wiod.org/database/wiots16.
]Search in Google Scholar
[
Xie, Yihui. (2015). Dynamic documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. https://yihui.name/knitr/.
]Search in Google Scholar
[
Zhu, Hao. 2019. kableExtra: Construct complex table with ‘kable’ and pipe syntax. https://CRAN.R-project.org/package=kableExtra.
]Search in Google Scholar
