This paper provides a simple, yet robust framework to evaluate the time profile of benefits paid during an unemployment spell. We derive sufficient-statistics formulae capturing the marginal insurance value and incentive costs of unemployment benefits paid at different times during a spell. Our approach allows us to revisit separate arguments for inclining or declining profiles put forward in the theoretical literature and to identify welfare-improving changes in the benefit profile that account for all relevant arguments jointly. For the empirical implementation, we use administrative data on unemployment, linked to data on consumption, income and wealth in Sweden. First, we exploit duration-dependent kinks in the replacement rate and find that, if anything, the moral hazard cost of benefits is larger when paid earlier in the spell. Second, we find that the drop in consumption affecting the insurance value of benefits is large from the start of the spell, but further increases throughout the spell. In trading off insurance and incentives, our analysis suggests that the flat benefit profile in Sweden has been too generous overall. However, both from the insurance and the incentives side, we find no evidence to support the introduction of a declining tilt in the profile.Keywords: Unemployment, Dynamic Policy, Sufficient Statistics, Consumption Smoothing JEL codes: H20, J64 * We thank Tony Atkinson, Richard Blundell, Raj Chetty, Liran Einav, Hugo Hopenhayn, Philipp Kircher, Henrik Kleven, Alan Manning, Arash Nekoei, Nicola Pavoni, Torsten Persson, Jean-Marc Robin, Emmanuel Saez, Florian Scheuer, Robert Shimer, Frans Spinnewyn, Ivan Werning, Gabriel Zucman and seminar participants at the NBER PF Spring Meeting, SED Warsaw, EEA Mannheim, DIW Berlin, Kiel, Zurich, Helsinki, Stanford, Leuven, Uppsala, IIES, Yale, IFS, Wharton, Sciences Po, UCLA, Sussex, Berkeley, MIT, Columbia, LMU and LSE for helpful discussions and suggestions. We also thank Iain Bamford, Albert Brue-Perez, Jack Fisher, Benjamin Hartung, Panos Mavrokonstantis and Yannick Schindler for excellent research assistance. We acknowledge financial support from the ERC (grant #716485 and #716485), the Sloan foundation (NBER grant #22-2382-15-1-33-003), STICERD and the CEP. 1The key objective of social insurance programs is to provide insurance against adverse events while maintaining incentives. The impact of these adverse events is dynamic and so are the insurance value and incentive cost of social protection against these events. As a consequence, the design of social insurance policies tends to be dynamic as well, specifying a schedule of benefits and taxes that are time-dependent. In the context of unemployment insurance (UI), the UI policy specifies a full benefit profile designed to balance incentives and insurance throughout the unemployment spell. Solving this dynamic problem can prove daunting, especially when adding important features of unemployment dynamics involving selection and non-stationarities. Indeed, there seems to be little conse...

To fight evasion, many developing countries resort to production-inefficient tax policies. This includes minimum tax schemes whereby firms are taxed on either profits or turnover, depending on which tax liability is larger. Such schemes create non-standard kink points, which allow for eliciting evasion responses to switches between profit and turnover taxes using a bunching approach. Using administrative tax records on corporations in Pakistan, we estimate that turnover taxes reduce evasion by up to 60-70% of corporate income. Incorporating this in a calibrated optimal tax model, we find that switching from profit to turnover taxation increases revenue by 74% without reducing aggregate profits, despite the production inefficiency that it introduces.

Original citation: Spinnewijn, Johannes (2015) Unemployed but optimistic: optimal insurance design with biased beliefs. Abstract This paper analyzes how biased beliefs about employment prospects a¤ect the optimal design of unemployment insurance. Empirically, I …nd that the unemployed greatly overestimate how quickly they will …nd work. As a consequence, they would search too little for work, save too little for unemployment and deplete their savings too rapidly when unemployed. I analyze the use of "su¢ cient-statistics"formula to characterize the optimal unemployment policy when beliefs are biased and revisit the desirability of providing liquidity to the unemployed. I also …nd that the optimal unemployment policy may involve increasing bene…ts during the unemployment spell.

No abstract

This paper develops and implements a general framework to study insurance market equilibrium and evaluate policy interventions in the presence of choice frictions. Friction-reducing policies can increase welfare by facilitating better matches between consumers and plans, but can decrease welfare by increasing the correlation between willingness-to-pay and costs, exacerbating adverse selection. We identify relationships between the underlying distributions of consumer (i) costs (ii) surplus from risk protection and (iii) choice frictions that determine whether friction-reducing policies will be on net welfare increasing or reducing. We extend the analysis to study how policies to improve consumer choices interact with the supply-side policy of risk-adjustment transfers and show that the effectiveness of the latter policy can have important implications for the effectiveness of the former. We implement the model empirically using proprietary data on insurance choices, utilization, and consumer information from a large firm. We leverage structural estimates from prior work with these data and highlight how the model's micro-foundations can be estimated in practice. In our specific setting, we find that friction-reducing policies exacerbate adverse selection, essentially leading to the market fully unravelling, and reduce welfare. Risk-adjustment transfers are complementary, substantially mitigating the negative impact of friction-reducing policies, but having little effect in their absence.

This paper uses job seekers’ elicited beliefs about job finding to disentangle the sources of the decline in job-finding rates by duration of unemployment. We document that beliefs have strong predictive power for job finding, but are not revised downward when remaining unemployed and are subject to optimistic bias, especially for the long-term unemployed. Leveraging the predictive power of beliefs, we find substantial heterogeneity in job finding with the resulting dynamic selection explaining most of the observed negative duration dependence in job finding. Moreover, job seekers’ beliefs underreact to heterogeneity in job finding, distorting search behavior and increasing long-term unemployment. (JEL D83, E24, J22, J64, J65)

No abstract

No abstract