# name
Modelling the dynamic interaction between economic uncertainty, growth, unemployment and suicide

# metadata.dc.description.abstract[].value
Economic uncertainty is a driver of the business cycle. In a recent  study, Claveria (2022) used a fixed-effects model to assess the impact of uncertainty on suicide rates worldwide. Using that same  panel, in which global economic uncertainty is linked to the  evolution of the suicide rates in 183 countries between 2000 and  2019, this work evaluates the dynamic interconnections between  unemployment, economic growth,     uncertainty and suicide using a  dynamic panel model. Overall, the analysis suggests that increases  in the growth of economic uncertainty and unemployment may lead  to increases in suicide rates growth worldwide. When replicating the  experiment for different regions and for groups of countries classified according to their level of income, the greatest impact of  increases in economic uncertainty is found in upper middle-income economies. Given the anticipatory nature of econòmic uncertainty  with respect to the evolution of the economy, and its relationship  with suicide rates, the obtained results suggest the usefulness of  uncertainty indicators as tools for the early detection of periods of  increased suicide risk and for the design of suicide prevention  strategies

# metadata.dc.publisher[].value
Universitat de Barcelona. Facultat d'Economia i Empresa

# metadata.dc.rights[].value
cc-by-nc-nd, (c) Clavería González et al., 2022

# metadata.dc.source[].value
Documents de treball (Institut de Recerca en Economia Aplicada Regional i Pública (IREA))

# metadata.dc.title[].value
Modelling the dynamic interaction between economic uncertainty, growth, unemployment and suicide