Nicolai Suppa
Nicolai Suppa
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projections
How can we timely inform policymakers, when rigorous impact evaluations are long in coming?
In this blog entry I explain a recently developed approach to use simulations for multidimensional poverty when even contemporary micro-data are unavailable. In our application we use the global Multidimensional Poverty Index but this approach is applicable and potentially useful for other development indicators as well.
Nicolai Suppa
Last updated on Sep 11, 2022
VI Congreso Internacional de Estudios del Desarrollo
In my talk
On track or not? Projecting the global multidimensional poverty index
at the VI Congreso Internacional de Estudios del Desarrollo, I present insights of this ongoing research with implications for other development indicators.
Jun 8, 2022 — Jun 10, 2022
IBEI Barcelona
Nicolai Suppa
HDRO-OPHI-IIEP Webinar
In this joint webinar of the Human Develpoment Report Office (HDRO), the Institute for International Economic Policy (IIEP) and OPHI, I present results of our paper
On track or not?
in which we develop modelling framework for computing projections of global multidimensional poverty.
Nov 15, 2021 4:00 pm CET
Washington DC (virtual)
Nicolai Suppa
Global multidimensional poverty and COVID-19: A decade of progress at risk?
In this paper we evaluate the potential impact of COVID-19 and policy responses on global multidimensional poverty. Our results suggest a potential global setback to poverty reduction of around 9 years.
Social Science & Medicine
, 291 (114457), 2021
Sabina Alkire
,
Ricardo Nogales
,
Natalie Naïri Quinn
,
Nicolai Suppa
ISQOLS 2021 Conference
During the virtual conference of the International Society for Quality of Life Studies (ISQOLS) we have a symposium on multidimensional poverty. I also present further papers in other sessions.
Aug 24, 2021 — Aug 28, 2021
Virtual
On Track or Not? Projecting the Global Multidimensional Poverty Index
In this paper we compute projections of global multidimensional poverty. We consider and evaluate different approaches to model the trajectories of countries’ achieved and future poverty reduction. Our preferred model respects theoretical bounds, is supported by empirical evidence, and ensures consistency of our main measure with its sub-indices.
OPHI Research in Progress
, 58a, 2020
Sabina Alkire
,
Ricardo Nogales
,
Natalie Naïri Quinn
,
Nicolai Suppa
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