Two key questions in thinking about the size and growth of the disability insurance program are to what extent it discourages work, and how valuable the insurance is to individuals and families. These questions motivate our paper. We begin by describing the earnings, disposable income, and consumption of awarded and rejected DI applicants, before and after the disability onset and the allowance decision. Next, we discuss how these descriptive results can be interpreted through the lens of alternative empirical approaches. Our analysis uses a Norwegian population panel data set with detailed information about every individual and household.

Using a local randomized experiment that arises from a sharp discontinuity in Disability Insurance (DI) policy in Norway, we provide transparent and credible identification of how financial incentives induce DI recipients to return to work. We find that many DI recipients have considerable capacity to work that can be effectively induced by providing financial work incentives. We further show that providing work incentives to DI recipients may both increase their disposable income and reduce program costs. Our findings also suggest that targeted policies may be the most effective in encouraging DI recipients to return to work.

Despite the implications for policy, empirical evidence on the relative importance of factors that shape labor supply responses is missing. This paper helps fill this gap and quantifies the role of information frictions versus other frictions by combining notches in the Norwegian welfare system and quasi-experimental variation in access to information about the slope and location of kinks. While we estimate a frictionless elasticity of 0.3, overall frictions attenuate this elasticity by about 70 percent. We find the information letter increased the earnings elasticity from 0.06 to 0.15, implying that information frictions account for at least 30 percent of total attenuation.

There is no evaluation of the consequences of Disability Insurance (DI) receipt that captures the effects on households’ net income and consumption expenditure, family labor supply, or benefits from other programs. Combining detailed register data from Norway with an instrumental variables approach based on random assignment to appellant judges, we comprehensively assess how DI receipt affects these understudied outcomes. To consider the welfare implications of the findings from this instrumental variables approach, we estimate a dynamic model of household behavior that translates employment, reapplication, and savings decisions into revealed preferences for leisure and consumption. The model-based results suggest that on average, the willingness to pay for DI receipt is positive and sizable. Because spousal labor supply strongly buffers the household income and consumption effects of DI allowances, the estimated willingness to pay for DI receipt is smaller for married than single applicants.

We investigate the existence and importance of family welfare cultures, where the receipt of a welfare program by one generation causes increased participation in the next generation. Our context is Norway’s disability insurance (DI) system. To overcome the challenge of correlated unobservables across generations, we take advantage of random assignment of judges to DI applicants whose cases are initially denied. Some appeal judges are systematically more lenient, which leads to random variation in the probability a parent will be allowed DI. Using this exogenous variation, we find strong evidence for a causal link across generations: when a parent is allowed DI at the appeal stage, their adult child’s participation over the next five years increases by 6 percentage points. This effect grows over time, rising to 12 percentage points after 10 years. Although these findings are specific to our setting, they highlight that welfare reforms can have long-lasting effects on program participation, since any original effect on the current generation could be reinforced by changing the participation behavior of their children as well. The detailed nature of our data allows us to compare the intergenerational transmission with spillover effects in other networks and to explore mechanisms.