Capital in the Twenty-First Century

2014

1,978 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/43e315ba3c53b9d1b08f64000ebe8f017695f82e

Citations in the corpus

• Capital Shares and Income Inequality: Evidence from the Long Run (2018, neutral): “The results typically depend on the model choice or institutional context and it is fair to say that consensus over the shape of this link—and if it exists at all—has not been reached, as noted earlier the United States (see Piketty 2014; Lindert 2015; Milanovic 2017).”
• Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution (2020, positive): “…for the deployment of AI and related technologies is such that entrepreneurial effort is often undertaken downstream, and rewards diverted back to those who control the capital in ever more increasing ways, contributing to the widening wealth gap in Western developed countries (Piketty, 2015).”
• Assessing the Effectiveness of Energy Efficiency Measures in the Residential Sector Gas Consumption Through Dynamic Treatment Effects: Evidence from England and Wales (2022, positive): “Percentile analysis has been widely used in inequality research to study the distribution of income and wealth, see e.g., Piketty (2014), Anand and Segal (2015), and Milanovic (2012), among others.”
• The Dynamics of Inequality (2016, neutral): “The model with type dependence can replicate the rapid rise in income inequality observed in the United States.”
• Micro and macro policies in the Keynes+Schumpeter evolutionary models (2016, neutral): “12This is in line with the intuitions of Stiglitz (2012) and Piketty (2014) about the existence of a vicious downward spiral of excessive inequality and economic instability.”
• From Soviets to oligarchs: inequality and property in Russia 1905-2016 (2018, positive): “…and the Great Depression; new policy regime with the rise of steeply progressive taxation of income and inherited wealth, the welfare state, and in some cases rent control and partial nationalization, with important variations across countries (see Atkinson and Piketty 2007, 2010, Piketty 2014).”
• An Introduction to Deep Reinforcement Learning (2018, neutral): “A key challenge for humanity is to make sure that the future technological developments in artificial intelligence do not create an ecological crisis (Harari, 2014) or deepen the inequalities in our society with potential social and economic instabilities (Piketty, 2013).”
• Participatory Design that Matters—Facing the Big Issues (2018, positive): “Piketty [65] described capital accumulation and the rise of what he called patrimonial capitalism, in which a few families control most of the wealth.”
• Robots, reshoring, and the lot of low-skilled workers (2018, neutral): “workers (Acemoglu and Autor, 2012; Autor, 2014) and, in combination with rising incomes of the better educated, an increase in wage inequality ( Piketty, 2014), iv) offshoring of labor intensive production to low-wage countries (Grossman and Rossi-Hansberg, 2008), v) an uptick in reshoring to the ex”
• Understanding Relationship Marketing and Loyalty Program Effectiveness in Global Markets (2015, neutral): “…endures over centuries (Hofstede, Hof-stede, and Minkov 2010), has been a primary focus of international marketing research (Sojka and Tansuhaj 1995), whereas economic development, which fluctuates more in the short run (Piketty 2014; Schumpeter 1934), is often overlooked, despite its importance.”
• Wealth Inequality and Carbon Emissions in High-income Countries (2017, neutral): “countries rated by Shorrocks et al. (2014) as having “good” or “satisfactory” quality wealth distribution data.”
• CENTRAL BANK POLICIES AND INCOME AND WEALTH INEQUALITY: A SURVEY (2019, neutral): “Since the early 1980s, income and wealth inequality have risen in many advanced economies (Atkinson, 2015; Piketty, 2014).”
• Responsible Artificial Intelligence: Designing Ai for Human Values (2017, neutral): “Increasing wealth inequality is a result of big technological revolutions [21], leading to the need for a more balanced distribution of wealth [5].”
• No Price Like Home: Global House Prices, 1870-2012 (2014, positive): “Using more than 60 different sources, we combine existing data and unpublished 1See Piketty (2014) for a discussion of the Ricardo hypothesis in the context of inequality dynamics. material.”