Job displacement insurance and (the lack of) consumption-smoothing
Francois Gerard and
No 7625, CESifo Working Paper Series from CESifo Group Munich
The most common forms of government-mandated job displacement insurance are Severance Pay (SP; lump-sum payments at layoff) and Unemployment Insurance (UI; periodic payments contingent on non-employment). While there is a vast literature on UI, SP programs have received much less attention, even though they are prevalent across countries and predominant in developing countries. In particular, little is known about their insurance value, which critically relies on workers’ ability to dissave the lump-sum progressively to smooth consumption after layoff. Using de-identified high-frequency expenditure data and matched employee-employer data from Brazil, we find that displaced workers eligible for both UI and SP increase consumption at layoff by 35% despite experiencing a 17% consumption loss after they stop receiving any benefits. Moreover, this sensitivity of consumer spending to cash-on-hand is present across spending categories and sources of variation in UI benefits and SP amounts. We show that a simple structural model with present-biased workers can rationalize our findings, and we use it to illustrate their implications for the incentive-insurance trade-off between SP and UI. Specifically, the insurance value of SP programs – or of other policies that provide liquidity to workers at layoff – can be severely reduced when consumption is over-sensitive to the timing of benefit disbursement, undermining their advantage in terms of job-search incentives. Our findings highlight the importance of the difference between SP and UI in their disbursement policy, and shed new light on the need for job displacement insurance in a developing country context.
Keywords: unemployment insurance; severance pay; consumption; Brazil (search for similar items in EconPapers)
JEL-codes: E21 E26 J65 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ias, nep-lab and nep-mac
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