Ideas and Growth
By Robert E. Lucas. 2009
293 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/ba954afb34a4057d40b01e7e17e4b19af5b0d175
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
- Matthias Doepke
- Jeremiah Dittmar
- Charles I. Jones
- Joel Mokyr
- Fernando Alvarez
- David de la Croix
- F. Buera
- Robert E. Lucas
Citations in the corpus
- Information Technology and Economic Change: The Impact of The Printing Press (2011, background): “Macroeconomic research identifies the central role ideas play in technological change and growth (Jones and Romer 2010, Romer 1990, Lucas 2009).”
- The Facts of Economic Growth (2015, background): “Examples of richer efforts to measure human capital in a growth setting include Lucas (2009), Lucas and Moll (2014), and Manuelli and Seshadri (2014).”
- Clans, Guilds, and Markets: Apprenticeship Institutions and Growth in the Pre-Industrial Economy (2016, background): “Specifically, the underlying engine of growth in our model is closely related to Lucas (2009), who in turn builds on earlier seminal contributions by Jovanovic and Rob (1989), Kortum (1997), and Eaton and Kortum (1999).”
- Labor Share Decline and Intellectual Property Products Capital (2020, unknown): “Considering that IPP is not only an important source of growth (Jones, 2005, Lucas, 2009) but also, as per our results, the main driver of the LS decline, implies that welfare assessments of LS decline should incorporate a growth-inequality tradeoff that has been overlooked by previous studies…”
- 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)).”
- Idea Flows, Economic Growth, and Trade (2013, background): “…(log) productivity range from 0.6 − 0.75 when measured as the value-added per worker – see Bernard et al. (2003) Table II – and 10Our calibration strategy follows that in Lucas (2009), although our focus is on the distribution of productivity across “product managers” instead of individual workers.”