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The COVID-19 Pandemic and Job Creation: The Role of Global Supply Chains

Hanming Fang, Chunmian Ge, Hanwei Huang, Hongbin Li, Dec 30, 2020

Using big data of more than 100 million posted jobs from China, we estimate how the COVID-19 pandemic affected local labor demand in China via global supply chains. The data reveal that the number of newly posted jobs was about 31% lower in the first 14 weeks after the Wuhan lockdown than comparable periods in 2018 and 2019. We show that COVID-19 cases abroad and foreign governments’ pandemic-control policies reduced new job creation in China by 11.7%...

Accounting for Urban China’s Rising Income Inequality: The Roles of the Labor Market, Human Capital, and Marriage Market Factors

Shuaizhang Feng, Gaojie Tang, Mar 27, 2019

China has witnessed persistent increases in economic inequality since the early 1990s when the urban labor market began its transformation — from centrally-controlled to market-driven. Using the Urban Household Survey data, this paper (Feng and Tang, 2018) documents the trends...

Assessing and Addressing the Coronavirus-Induced Economic Crisis: Evidence from 1.5 Billion Sales Invoice

Zhuo Chen, Pengfei Li, Li Liao, Zhengwei Wang, Aug 31, 2022

We probe the effects of the COVID-19 pandemic and the subsequent containment policies on business activities in China by exploiting big data on 1.5 billion sales invoices. The average drop in sales was between 23% and 35%, depending on firm size, for the 12-week period after the Wuhan lockdown.

The Two-Pillar Policy for the RMB from December 2015 to May 2017

Urban J. Jermann, Bin Wei, Vivian Yue, Aug 16, 2017

We 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.

Do CEOs Know Best? Evidence from China

Nicholas Bloom, Hong Cheng, Mark Duggan, Hongbin Li, Franklin Qian, Jan 30, 2019

Using data from the China Employer-Employee Survey (CEES), a recent survey of Chinese manufacturing firms, we analyze the extent to which employees of differing levels are able to assess their firms’ management practices. Our study finds that of CEOs, managers, and workers, CEOs tend to have the most accurate appraisals of their firms. Additionally, we find that firms with higher levels of disagreement...