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Cutting refugees’ benefits results in more crime and less education

Reducing welfare benefits for refugees and immigrants is largely ineffective for increasing employment and promoting integration, and instead leads to poverty, ‘survival crime’ and less schooling, according to a new study from CReAM's Christian Dustmann and co-authors from the Rockwool Foundation.

Press Release

Discussion Paper

UCL News

Disadvantaged boys benefit most from early school years

Research by Christian Dustmann and Thomas Cornelissen finds that boys from disadvantaged backgrounds benefit most from early schooling, helping to narrow the skills gap (60-80%) with boys from high socio-economic backgrounds.

Press Release

Discussion Paper

UCL News

The Times

The Indepedent

Tes

Housing costs have exacerbated income equality in Germany

CReAM Research by Christian Dustmann and co-authors finds that changes in housing expenditures dramatically exacerbated the rise in income inequality in Germany since the mid-1990s. The research was covered on the German press.

Press Release

Discussion Paper

VoxEU

FAZ

UCL News

Immigrant and disadvantaged children benefit most from early childcare

Attending universal childcare from age three significantly improves the school readiness of children from immigrant and disadvantaged family backgrounds.

Press Release

Discussion Paper

iNews

UCL News

FAZ

VoxEU

 

Brexit

BBC Three Counties

Christian Dustmann discussing Theresa May's comments on EU workers 'jumping the queue' on BBC Three Counties.

CReAM seminar

CReAM - Seminar in Applied Economics Series
Kaivan Munshi (University of Cambridge)

'Community Networks and the Evolution of Private Enterprise in China' (joint with Ruochen Dai, Dilip Mookherjee, and Xiaobo Zhang)

Event date: Monday 15th October 2018
Time: 4:00-5:30 Place: Ricardo LT Speaker Room: 113

This paper identifies and quantifies the role played by birth-county-based community networks in the growth of private enterprise in China. We develop a network-based model that generates predictions for the dynamics of firm entry, concentration, and firm size across birth counties with varying social connectedness (measured by population density). These predictions are verified over the 1990-2009 period with administrative data covering the universe of registered firms. Competing non-network-based explanations can explain some, but not all, of the results. Moreover, supplementary evidence indicates that network spillovers occur within the birth county and, going down even further, within clans within the county. Having validated the model, we estimate its structural parameters and conduct counter-factual simulations, which estimate that entry over the 1995-2004 period would have been 40% lower (with a comparable decline in the stock of capital) in the absence of community networks. Additional counter-factual simulations shed light on misallocation and industrial policy in economies where networks are active.