XREPP Seminar on Living Standards, Inequality and Poverty around the World from a Historic Perspective

Giovanni Vecchi
Prof. Vecchi's research interests include poverty and inequality measurement, and living standard assessments


October 24, 2017 - 14:00


October 24, 2017 - 15:30


Facultat d'Economia i Empresa de la Universitat de Barcelona   View map

The Research Group in Globalization, Economic Inequality and Public Policies in Historic Perspective (HISTORIA) from the Faculty of Economics and Business at the University of Barcelona has invited professor Giovanni Vecchi from the University of Rome “Tor Vergata” to give a seminar, “Living standards, inequality and poverty around the world, 1815-2015. The Historical Household Budgets (HHB) Project.”

The seminar will take place in the Reception Room at the Faculty of Economics and Business at 2pm. Access is free and requires no previous registry, but punctuality is advised.

The abstract for this paper is the following:

“Existing accounts of poverty and inequality around the world perch on a narrow evidentiary base: few countries, proxy indicators that are not comparable across countries, short time frames, and unrepresentative groups such as the top 1 percent. Even good data on incomes fail to tell us how families earned them, what sort of consumption patterns they were able to afford, or how they responded to changes in the economic environment.
Household budgets are a better starting point, with information on sources of income, consumption expenditures, savings and wealth, family composition, and labour force participation. Largely neglected up to now, they are more abundant than might be suspected: for the period 1850-1930, some 3.1 million budgets have been identified, from all parts of the globe. The core of the project is the collection, digitisation, and harmonisation of these budgets in a database, which will be accessible to researchers around the world via a web portal. A secondary focus is the elaboration and implementation of new statistical techniques suited to this type of data, which typically were not collected by random sampling.”

Entitat Gestora:

Entitat Gestora: