Senior Fellows/Fellows

|

Senior Fellows/Fellows, Pandemic

|

May 2020

We use a repeated large-scale survey of households in the Nielsen Homescan panel to characterize how labor markets are being affected by the covid-19 pandemic. We document several facts. First, job loss has been significantly larger than implied by new unemployment claims: we estimate 20 million los...
Keywords: Labor market, unemployment, Employment, COVID-19
  • View
  • Download
  • Bookmark
  •    |   
  •  

Webinar Series

|

Pandemic

|

May 2020

Sudden, large-scale and diffuse human migration can amplify localized outbreaks of disease into widespread epidemics1,2,3,4. Rapid and accurate tracking of aggregate population flows may therefore be epidemiologically informative. Here we use 11,478,484 counts of mobile phone data from individuals l...
Keywords: COVID-19, Population flow, Spatio-temporal distrubution, China
  • View
  • Download
  • Bookmark
  •    |   
  •  

Webinar Series

|

Pandemic

|

Apr 2020

We study the role of social connections in compliance of U.S. households with mobility restrictions imposed in response to the coronavirus disease 2019 (COVID-19) pandemic, using aggregated and anonymized Facebook data on social connections and mobile phone data for measuring social distancing at th...
Keywords: social networks, non-pharmaceutical interventions, COVID-19
  • View
  • Download
  • Bookmark
  •    |   
  •  

Webinar Series

|

Senior Fellows/Fellows, Capital Market Development: China and Asia

|

Jun 2021

Using a unique FinTech data containing monthly individual-level consumption, investments, and payments, we examine how FinTech can lower investment barriers and improve risk-taking. Seizing on the rapid expansion of offline usages of Alipay in China, we measure individuals' FinTech adoption by the s...
Keywords: FinTech, Digital Payment, Financial Inclusion, Consumption, Risk Taking, Household Finance
  • View
  • Download
  • Bookmark
  •    |   
  •  

Annual Conference

|

Investment Finance, Senior Fellows/Fellows

|

May 2017

Using transaction-level credit card spending from a large US financial institution, we show that disaggregated sales provide accurate and persistent signals of customer demand relevant to a firm’s stock pricing. After controlling for earnings and sales surprises, one inter-quintile increase in the...
Keywords: return predictability, informed investors, disaggregated sales, customer demand, Credit Cards, Consumption, Household Finance, financial institution, big data
  • View
  • Download
  • Bookmark
  •    |   
  •