Evaluating the Accuracy of Homeowners' Self-Assessed Rent in Metropolitan Lima

26 Pages Posted: 16 Aug 2019 Last revised: 27 Aug 2019

See all articles by Lidia Ceriani

Lidia Ceriani

Bocconi University - Department of Policy Analysis and Public Management

Sergio Daniel Olivieri

World Bank

Marco Ranzani

World Bank; World Bank

Date Written: August 15, 2019

Abstract

Attributing a rental value to homeowners' dwellings is essential in different contexts, including poverty and inequality analysis, the compilation of national accounts, consumer price indexes, and estimation of purchasing power parity indexes. The proposed solution is often to use homeowners' estimates of the market rent they would pay for their dwelling if they were renting it, which is usually referred to as homeowners' self-assessed rent. Lack of alternative surveys and up-to-date and complete administrative data about dwellings' market values typically bounds researchers to test the accuracy of homeowners' self-assessed rent using only information from household budget surveys. Using 13 years of the Peruvian household budget survey, this paper compares two methods to assess the accuracy of homeowners' self-assessed rent and finds that the average homeowner in Lima overestimates the market rent of her dwelling by between 8 and 15 percent. However, homeowners' self-assessment inaccuracy fades away in most years when homeowners are compared with their most observationally similar tenants.

Keywords: Inequality, Hydrology, Educational Sciences, Urban Housing and Land Settlements, Urban Governance and Management, Urban Housing, Municipal Management and Reform

Suggested Citation

Ceriani, Lidia and Olivieri, Sergio Daniel and Ranzani, Marco, Evaluating the Accuracy of Homeowners' Self-Assessed Rent in Metropolitan Lima (August 15, 2019). World Bank Policy Research Working Paper No. 8983. Available at SSRN: https://ssrn.com/abstract=3438037

Lidia Ceriani (Contact Author)

Bocconi University - Department of Policy Analysis and Public Management ( email )

Via Roentgen 1
Milan, 20136
Italy

Sergio Daniel Olivieri

World Bank ( email )

1818 H Street, NW
Washington, DC 20433
United States

Marco Ranzani

World Bank ( email )

1818 H Street, NW
Washington, DC 20433
United States

World Bank ( email )

1818 H Street, NW
Washington, DC 20433
United States

Register to save articles to
your library

Register

Paper statistics

Downloads
3
Abstract Views
20
PlumX Metrics