How to better measure inequality
In this paper, Meyer and Sullivan argue that inequality measures that rely on earnings and income data may not accurately reflect changes in economic well-being as they ignore taxes and transfers and fail to capture consumption out of financial wealth and durables such as housing and cars. The authors suggest that consumption may provide a better indicator of economic well-being for several reasons:
- Consumption better reflects long-run resources and is more likely to capture disparities that result from differences across families in the accumulation of assets or access to credit.
- Consumption will reflect the loss of housing service flows if homeownership falls, the loss in wealth if asset values fall, and the belt-tightening that a growing debt burden might require, all of which an income measure would miss.
- Consumption will do a better job of capturing the effects of changes in access to credit or the government safety net.
Meyer and Sullivan construct a measure of consumption that relies on components such as food at home, housing, and vehicles from data from the U.S. Consumer Expenditure Interview Survey for the last fifty years. Nevertheless, they point out that the measurement error present in traditional consumption surveys makes characterizing actual consumption inequality difficult.
Consumption and Income Inequality in the United States since the 1960s
Authors: Bruce D. Meyer, James X. Sullivan
From: University of Chicago, University of Notre Dame
How to overcome consumption measurement errors
In this paper, Buda et al., to remedy the issues raised by Meyer and Sullivan above, propose a new dataset using naturally occurring transaction data, organized systematically according to national accounting principles, which can reproduce current official statistics on aggregate consumption with a high degree of precision. The data consists of 3 billion individual transaction-level data by 1.8 million customers of Banco Bilbao Vizcaya Argentaria (BBVA). These transaction data enable the authors to construct a large-scale, high-quality, and highly detailed consumption panel with the following advantages:
- The consumption panel aggregates, on average, to the same level of final household consumption as reported in official national accounts, thereby overcoming the severe downward bias in aggregate consumption implied by traditional consumption surveys.
- This consumption panel allows for the construction of macro-consistent distributional national accounts for consumption and reveals that consumption inequality is substantially larger than that implied by traditional consumption surveys, particularly at the top.


National Accounts in a World of Naturally Occurring Data: A Proof of Concept for Consumption
Authors: Gergely Buda, Stephen Hansen, Tomasa Rodrigo, Vasco M. Carvalho, Alvaro Ortiz, José V. Rodríguez Mora
From: Barcelona School of Economics, University College London, BBVA Research, University of Cambridge, University of Edinburgh