• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Research Seminar of International Laboratory for Macroeconomic Analysis: Alexandra Pripadcheva «Social mobility and preferences for open access societies»

Event ended

Dear Colleagues,

International Laboratory for Macroeconomic Analysis invites everyone to join our research seminar on the 23rd  of  December 2021 (Thursday) at 04:00 PM (Moscow). 

Speaker: Alexandra Pripadcheva (ILMA)

Theme: «Social mobility and preferences for open access societies»

Abstract:

Modern democracies are different in the quality of economic institutions depending on the internal characteristics of the economy (the level of education of the population, the level of economic inequality). But at the same time, inequality and educational level are endogenous variables in the context of economic and social development.  This study investigates a dynamic political economy model that provides a link between inequality, education, social mobility and the quality of economic institutions in democracies. Overlapping generation model is used, in which all agents are divided by three groups, depending on incomes and assets. Social mobility is determined by the parental endogenous education decision and by the level of barriers to entry on markets, which is a political outcome. The political structure of the model is described as a competition between an entrenched party that is able to influence voters' votes through hidden payments, and an opposition party that does not have such opportunity. For societies with electoral democracy, two possible stationary states are possible: no-entry and free-access to markets societies. The model predicts that if the share of nascent entrepreneurs is low enough and the perceived perspectives of upward mobility are sufficiently low, then the equilibrium with the lower level of education, the higher level of inequality and the lower social mobility will be realized. These theoretical results are supported by panel data models across countries in 2000-2019 years.

Working language: English

 

Link: 

https://us02web.zoom.us/j/82295996960?pwd=bmNuTFRwVmFLZnlZcEo0ZlVkbVUvQT09

ID: 822 9599 6960

Passport: 309970

Looking forward to see you.