Latviešu valodas versija nav pieejama
Robin Chakraborty
- 16 October 2018
- WORKING PAPER SERIES - No. 2187Details
- Abstract
- The financial accounts of the household sector within the system of national accounts report the aggregate asset holdings and liabilities of all households within a country. In principle, when household wealth surveys are explicitly designed to be representative of all households, aggregating these micro data should correspond to the macro aggregates. In practice, however, differences are large. We first discuss conceptual and generic differences between those two sources of data. Thereafter we investigate missing top tail observation from wealth surveys as a source of discrepancy. By fitting a Pareto distribution to the upper tail, we provide an estimate of how much of the gap between the micro and macro data is caused by the underestimation of the top tail of the wealth distribution. Conceptual and generic differences as well as missing top tail observations explain part of the gap between financial accounts and survey aggregates.
- JEL Code
- C46 : Mathematical and Quantitative Methods→Econometric and Statistical Methods: Special Topics→Specific Distributions, Specific Statistics
D31 : Microeconomics→Distribution→Personal Income, Wealth, and Their Distributions
E01 : Macroeconomics and Monetary Economics→General→Measurement and Data on National Income and Product Accounts and Wealth, Environmental Accounts - Network
- Household Finance and Consumption Network (HFCN)
- 21 June 2018
- WORKING PAPER SERIES - No. 2163Details
- Abstract
- Macroeconomic aggregates on households’ wealth have a long tradition and are widely used to analyse and compare economies, yet they do not provide any information about the distribution of assets and liabilities within the population. The Household Finance and Consumption Survey (HFCS) constitutes a rich source of micro data that can be used to link macro aggregates with distributional information to compile Distributional National Accounts for wealth. Computing aggregates from this survey usually yields much lower amounts than what is reported by macroeconomic statistics. An important source of this gap may be the lack of the wealthiest households in the HFCS. This article combines a semi-parametric Pareto model estimated from survey data and observations from rich lists with a stratification approach making use of HFCS portfolio structures to quantify the impact of the missing wealthy households on instrument-specific gaps between micro and macro data. We analyse data for Austria and Germany, and find that adjusting for the missing wealthy pushes up inequality even further, increases instrument-specific aggregates, has large effects on equity, but explains less than ten percentage points of the micro-macro gap for most other instruments. Additionally, we document that some countries’ lack of an oversampling strategy for wealthy households limits the cross-country comparability of wealth inequality statistics.
- JEL Code
- D31 : Microeconomics→Distribution→Personal Income, Wealth, and Their Distributions
E01 : Macroeconomics and Monetary Economics→General→Measurement and Data on National Income and Product Accounts and Wealth, Environmental Accounts - Network
- Household Finance and Consumption Network (HFCN)