A Bridge on Economic Issues between China and the World
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Human-Capital Externalities in China
Edward L. Glaeser, Ming Lu, Oct 10, 2018This paper provides evidence of heterogeneous human-capital externality using CHIP 2002, 2007, and 2013 data from urban China. After instrumenting city-level education using the number of relocated university departments across cities in the 1950s, one additional year of city-level education increases individual hourly wages by 22.0 percent, more than twice the OLS estimate. Human-capital externality is greater for all groups of urban residents in the instrumental variables estimation.
Bilateral Trade and Shocks in Political Relations: Evidence from China
Yingxin Du, Jiandong Ju, Carlos D. Ramirez, Xi Yao, Mar 14, 2018To what extent do political relations between countries affect their economic exchange? Using evidence of China’s relations with other major powers during the period of 1990 to 2013, Yingxin Du, Jiandong Ju, Carlos D. Ramirez, and Xi Yao point out the time-aggregation bias in the existing empirical research and provide insights on the relationship between political shocks and trade.
China’s Mobility Barriers and Employment Allocations
Liwa Rachel Ngai, Christopher Pissarides, Jin Wang, Mar 07, 2018Despite reforms to the hukou household registration system and the very large rural-urban migration experienced in China, rural households are still experiencing a risk of losing their land allocation if they migrate. We argue that this risk leads to an inefficient rental market with low rents and is an impediment to migration, with consequent over-employment in agriculture and low productivity.
The Two-Pillar Policy for the RMB from December 2015 to May 2017
Urban J. Jermann, Bin Wei, Vivian Zhanwei Yue, Aug 16, 2017We document that since December 2015 the People’s Bank of China (PBC) has followed a “two-pillar” exchange rate policy that aims to achieve both stability and flexibility. Based on a no-arbitrage model and options price data we estimate the credibility of the policy as well as its impact on the RMB/USD exchange rate. The model was able to correctly forecast the end of the two-pillar policy in May 2017.
Data-Intensive Innovation and the State: Understanding China’s AI Leadership
Martin Beraja, David Yang, Noam Yuchtman, Sep 23, 2020China has become a world leader in the development of artificial intelligence (AI), a data-intensive technology with the potential to transform the global economy. We argue that the Chinese state’s collection of data and provision of data to commercial firms contribute to China’s AI leadership. We provide supportive evidence from China’s facial recognition AI sector and develop a macroeconomic model that illustrates how the Chinese state's surveillance interest aligns with promoting AI innovation, but potentially at the expense of privacy.
