Earnings Mobility and Measurement Error : A Pseudo-Panel Approach
The degree of mobility in incomes is often seen as an important measure of the equality of opportunity in a society and of the flexibility and freedom of its labor market. But estimation of mobility using panel data is biased by the presence of measurement error and non-random attrition from the pan...
| Main Authors: | , |
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| Format: | Policy Research Working Paper |
| Language: | English |
| Published: |
World Bank, Washington, DC
2012
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/2005/10/6328585/earnings-mobility-measurement-error-pseudo-panel-approach http://hdl.handle.net/10986/8517 |
| Summary: | The degree of mobility in incomes is often seen as an important measure of the equality of opportunity in a society and of the flexibility and freedom of its labor market. But estimation of mobility using panel data is biased by the presence of measurement error and non-random attrition from the panel. This paper shows that dynamic pseudo-panel methods can be used to consistently estimate measures of absolute and conditional mobility in the presence of non-classical measurement errors. These methods are applied to data on earnings from a Mexican quarterly rotating panel. Absolute mobility in earnings is found to be very low in Mexico, suggesting that the high level of inequality found in the cross-section will persist over time. However, the paper finds conditional mobility to be high, so that households are able to recover quickly from earnings shocks. These findings suggest a role for policies which address underlying inequalities in earnings opportunities. |
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