EconPapers    
Economics at your fingertips  
 

Modeling the bias of digital data: an approach to combining digital and survey data to estimate and predict migration trends

Yuan Hsiao, Lee Fiorio, Jonathan Wakefield and Emilio Zagheni
Additional contact information
Yuan Hsiao: Max Planck Institute for Demographic Research, Rostock, Germany
Emilio Zagheni: Max Planck Institute for Demographic Research, Rostock, Germany

No WP-2020-019, MPIDR Working Papers from Max Planck Institute for Demographic Research, Rostock, Germany

Keywords: USA; computational demography; digital demography; migration; migration measurement (search for similar items in EconPapers)
JEL-codes: J1 Z0 (search for similar items in EconPapers)
Pages: 28 pages
Date: 2020
New Economics Papers: this item is included in nep-ore and nep-pay
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://www.demogr.mpg.de/papers/working/wp-2020-019.pdf (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dem:wpaper:wp-2020-019

DOI: 10.4054/MPIDR-WP-2020-019

Access Statistics for this paper

More papers in MPIDR Working Papers from Max Planck Institute for Demographic Research, Rostock, Germany
Bibliographic data for series maintained by Peter Wilhelm ().

 
Page updated 2021-04-04
Handle: RePEc:dem:wpaper:wp-2020-019