International Women’s Day 2021 at NIESR: Dr Larissa Marioni
The theme for International Women’s Day (IWD) 2021 is #ChooseToChallenge, asking us to “Celebrate women's achievement. Raise awareness against bias. Take action for equality.”.
International Women’s Day 2021 at NIESR: Janine Boshoff
The theme for International Women’s Day (IWD) 2021 is #ChooseToChallenge, asking us to “Celebrate women's achievement. Raise awareness against bias. Take action for equality.”.
The Lockdown Weighted inflation CPILW for January 2021
The CPILW rose slightly from 0.8% in December to 0.9% in January. The CPIH measure of inflation also increased from 0.8% in November 2020 to 0.9% in December. Both measures indicate a slight increase in inflation in January.
Debt specialisation and diversification: International evidence
We uncover a strong U-shape in bond financing by US firms. Firms with total debt in the range of $10 million to $100 million tend to use much less bond financing relative to loan financing than do firms with more or less total debt.
Safeguarding the safeguards – A case for more support in schools
The Covid-19 pandemic has served to further highlight the vital contribution of schools in society, not just with respect to learning and education, but also the much broader role they play in children and young people’s lives.
Do macroprudential policies affect non-bank financial intermediation?
We analyse how macroprudential policies (MaPs), largely applied to banks and to a lesser extent borrowers, affect non-bank financial intermediation (NBFI).
Fintech regulation: how to achieve a level playing field
Fintech regulation: how to achieve a level playing field - Occasional Papers No 17, February 2021
Supporting migrant children in lockdown: time for joined-up thinking
This blog was first published by Social Policy Association
Answering the Queen: Machine learning and financial crises
Financial crises cause economic, social and political havoc. Macroprudential policies are gaining traction but are still severely under-researched compared to monetary policy and fiscal policy. We use the general framework of sequential predictions also called online machine learning to forecast crises out-of-sample.
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