From micro to macro via production networks
By Vasco M. Carvalho. 2014
415 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/d533593762de695ed4d8be760dc18e828181c865
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Daron Acemoglu
- David H. Autor
- Alireza Tahbaz-Salehi
- Vasco M. Carvalho
- David J. Deming
- Asuman E. Ozdaglar
- Erik Brynjolfsson
- Yukiko U. Saito
Citations in the corpus
- Credit Market Disruptions and Liquidity Spillover Effects in the Supply Chain (2020, neutral): “The paper is important in light of the burgeoning literature on the transmission of idiosyncratic shocks (e.g., Raddatz 2010; Gabaix 2011; Acemoglu et al. 2012; Carvalho 2014).”
- Networks, Shocks, and Systemic Risk (2015, background): “…potentially significant implications for macroeconomic volatility and economic growth.3 On the empirical side, Foerster, Sarte, and Watson (2011), Carvalho (2014), di Giovanni, Levchenko, and Méjean (2014), Acemoglu, Autor, Dorn, Hanson, and Price (2015a) and Carvalho, Nirei, Saito, and…”
- Output Upstreamness and Input Downstreamness of Industries/Countries in World Production (2017, neutral): “This concept is similarly important in the business cycle literature on transmission of shocks through production chains (see, e.g. Burstein, Kurz, and Tesar 2008; di Giovanni and Levchenko 2010; Zavacka 2012; Carvalho 2014).”
- Monetary Policy Through Production Networks: Evidence from the Stock Market (2017, methodology): “Acemoglu, Akcigit, and Kerr (2016) and Barrot and Sauvagnat (2016) show that networks are empirically important for aggregate fluctuations as well as for the propagation of federal spending, trade, technology, and knowledge shocks.”
- Supply Chain Disruptions: Evidence from the Great East Japan Earthquake* (2016, background): “See Carvalho (2014) and Carvalho and Tahbaz-Salehi (2019) for surveys of the literature on production networks.”
- The Relationship Between Global Value Chains and Productivity (2017, background): “…that industry growth is more strongly determined by industries that are directly linked (as customers or suppliers) and less correlated with indirect links (e.g. with the suppliers of their suppliers) (Carvalho, 2014 and OECD, 18 See OECD, 2013a: Chapter 8 for an extensive discussion of resilience.”
- Networks of Value Added Trade (2017, neutral): “In this vein, Carvalho (2014) discusses the extension of the analysis of production networks to an open economy set-up in order to account for the role of GVCs and other cross-border sectoral interconnections on systemic vulnerability.”
- Econometric analysis of production networks with dominant units (2020, neutral): “To investigate the robustness of the alternative estimators of to the choice of the underlying distribution, we conduct two sets of misspeci cation experiments where we compare the small sample properties of the four estimators of , namely ̂GI , ̂MLE, 16For example, Carvalho et al. (2016) use a su”
- The propagation of monetary policy shocks in a heterogeneous production economy (2018, background): “Carvalho (2014) provides an overview of this fast-growing literature.”
- Toward understanding the impact of artificial intelligence on labor (2019, background): “Therefore, the health of the aggregate labor market may depend on the impact of technology on specific urban and rural labor markets (73, 84).”