Equilibrium Imitation and Growth

By Jesse Perla, Christopher Tonetti. Journal of Political Economy, 2014

215 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/546aa43e5f3a932f3cef912b4ab8f1847e59b079

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Citations in the corpus

Connecting to Power: Political Connections, Innovation, and Firm Dynamics (2018, background): “…2001; Johnson and Mitton, 2003; Khwaja and Mian, 2005; Leuz and Oberholzer-Gee, 2006; Fan et al., 2007; Cingano and 4Some prominent examples of endogenous growth models without creative destruction are Romer (1990); Jones (1995); Acemoglu (2002); Lucas and Moll (2014); and Perla and Tonetti (2014).”
A Schumpeterian Model of Top Income Inequality (2014, unknown): “Perla and Tonetti (2014) study a similar mechanism in the context of technology adoption by firms.”
Buy, Keep or Sell: Economic Growth and the Market for Ideas (2016, unknown): “(See, for instance, Benhabib, Perla, and Tonetti (2014), Chiu, Meh, and Wright (2011), Lucas and Moll (2014), and Perla and Tonetti (2014).)”
The Rise of American Ingenuity: Innovation and Inventors of the Golden Age (2017, unknown): “These types of data are crucial to understanding the relationship between human capital and economic growth (e.g., Lucas (2009), Alvarez et al. (2013), Lucas and Moll (2014), Perla and Tonetti (2014)).”
Can Network Theory-Based Targeting Increase Technology Adoption? (2018, unknown): “Introduction Technology diffusion is critical for growth and development (Alvarez et al. 2013, Perla and Tonetti 2014).”
Dynamic Selection: An Idea Flows Theory of Entry, Trade and Growth (2016, background): “Perla, Tonetti and Waugh (2014) develop an open economy extension of Perla and Tonetti (2014) in which growth is driven by technology diffusion between incumbent firms, but the mass of firms is fixed.”
Catch-up and fall-back through innovation and imitation (2013, unknown): “Perla and Tonetti (2013) and Lucas and Moll (2013) use random search models to focus on the feedback relationship between the entire endogenously determined productivity distribution and optimal technology adoption decisions.”
The Dynamics of Inequality (2016, unknown): “Piketty (2014), Saez and Zucman (2015), Bricker, Henriques, Krimmel, and Sabelhaus (2015) and Kopczuk (2015).”
Endogenous Production Networks (2020, unknown): “Finally, it is also not due to thick-tailed productivity draws that continuously improve technology and spreading in the economy via a diffusion process (as in Akcigit, Celik, and Greenwood (2016), Lucas (2009), Lucas and Moll (2014), or Perla and Tonetti (2014)).”