Knowledge that Transforms

This article establishes a new fact about educational production: ordinal academic rank during primary school has lasting impacts on secondary school achievement that are independent of underlying ability. Using data on the universe of English school students, we exploit naturally occurring differences in achievement distributions across primary school classes to estimate the impact of class rank. We find large effects on test scores, confidence, and subject choice during secondary school, even though these students have a new set of peers and teachers who are unaware of the students’ prior ranking in primary school. The effects are especially pronounced for boys, contributing to an observed gender gap in the number of Maths courses chosen at the end of secondary school. Using a basic model of student effort allocation across subjects, we distinguish between learning and non-cognitive skills mechanisms, finding support for the latter.

What are the macroeconomic effects of transfers to households with children? How do alternative policies fare in welfare terms? We answer these questions in an equilibrium life-cycle model with household labour supply decisions, skill losses of females associated to non-participation, and heterogeneity in terms of fertility, childcare expenditures, and access to informal care. Calibrating our model to the U.S. economy, we first provide a roadmap for policy evaluation by contrasting transfers that are conditional on market work (childcare subsidies and childcare credits) with those that are not (child credits), when both types can be means tested or universal. We then evaluate expansions of current arrangements for the U.S. and find that expansions of conditional transfers have substantial positive effects on female labour supply, that are largest at the bottom of the skill distribution. Expanding childcare credits leads to long-run increases in the participation of married females of 10.6%, while an equivalent expansion of child credits leads to the opposite (-2.4%). Expanding existing programs generates substantial welfare gains for newborn households, which are largest for less-skilled households. Expanding childcare credits leads to the largest welfare gains for newborns and achieves majority support.

In many economic applications of matching, the teams that form compete later in market structures with strategic interactions or with knowledge spillovers. Such post-match competition introduces externalities at the matching stage: a team’s payoff depends not only on their members’ attributes but also on those of other matched teams. This article develops a large market model of matching with externalities, in which first teams form, and then they compete. We analyse the sorting patterns that ensue under competitive equilibrium as well as their efficiency properties. Our main results show that insights substantially differ from those of the standard model without externalities: there can be multiple competitive equilibria with different sorting patterns; both optimal and competitive equilibrium matching can involve randomization; and competitive equilibrium can be inefficient with a matching that can drastically deviate from the optimal one. We also shed light on the economic relevance of our matching model with externalities. We analyse two economic applications that illustrate how our model can rationalize the trend in within- and between-firm inequality, and also the evolution of markups of sectors where firms have market power.

We extend Duffie et al.’s (2005) search-theoretic model of over-the-counter (OTC) asset markets, allowing for a decentralized inter-dealer market with arbitrary heterogeneity in dealers’ valuations (or, equivalently, inventory costs). We develop a solution technique that makes the model fully tractable and allows us to derive, in closed form, theoretical formulas for key statistics analysed in empirical studies of the intermediation process in OTC markets. A calibration to the market for municipal bonds allows us to quantify important unobservable characteristics of this market, including the severity of search and bargaining frictions and the nature of heterogeneity across dealers. We use our calibrated model to study the effect of these market characteristics on total welfare and the distribution of gains from trade across customers and dealers.

We revisit the issue of the high cyclicality of wages of new hires. We show that after controlling for composition effects likely involving procyclical upgrading of job match quality, the wages of new hires are no more cyclical than those of existing workers. The key implication is that the sluggish behaviour of wages for existing workers is a better guide to the cyclicality of the marginal cost of labour than is the high measured cyclicality of new hires wages unadjusted for composition effects. Key to our identification is distinguishing between new hires from unemployment versus those who are job changers. We argue that to a reasonable approximation, the wages of the former provide a composition-free estimate of the wage flexibility, while the same is not true for the latter. We then develop a quantitative general equilibrium model with sticky wages via staggered contracting, on-the-job search, and heterogeneous match quality, and show that it can account for both the panel data evidence and aggregate evidence on labour market volatility.

Wealth is highly correlated between parents and their children; however, little is known about the extent to which these relationships are genetic or determined by environmental factors. We use administrative data on the net wealth of a large sample of Swedish adoptees merged with similar information for their biological and adoptive parents. Comparing the relationship between the wealth of adopted and biological parents and that of the adopted child, we find that, even prior to any inheritance, there is a substantial role for environment and a much smaller role for pre-birth factors and we find little evidence that nature/nurture interactions are important. When bequests are taken into account, the role of adoptive parental wealth becomes much stronger. Our findings suggest that wealth transmission is not primarily because children from wealthier families are inherently more talented or more able but that, even in relatively egalitarian Sweden, wealth begets wealth. We further build on the existing literature by providing a more comprehensive view of the role of nature and nurture on intergenerational mobility, looking at a wide range of different outcomes using a common sample and method. We find that environmental influences are relatively more important for wealth-related variables such as savings and investment decisions than for human capital. We conclude by studying consumption as an overall measure of welfare and find that, like wealth, it is more determined by environment than by biology.

This article presents a dynamic political-economic model of total government obligations. Its focus is on the interplay between debt and entitlements. In our model, both are tools by which temporarily powerful groups can extract resources from groups that will be powerful in the future: debt transfers resources across periods; entitlements directly target the future allocation of resources. We prove the following results. First, the presence of endogenous entitlements dampens the incentives of politically powerful groups to accumulate debt, but it leads to an increase in total government obligations. Second, fiscal rules can have perverse effects: if entitlements are unconstrained, and there are capital market frictions, debt limits lead to an increase in total government obligations and to worse outcomes for all groups. Analogous results hold for entitlement limits. Third, our model sheds some lights on the influence of capital market frictions on the incentives of governments to adopt fiscal rules, and implement entitlement programs. Finally, we identify preference polarization as a possible explanation for the joint growth of debt and entitlements.

We provide evidence on the relationship between aggregate uncertainty and the macroeconomy. Identifying uncertainty shocks using methods from the news shocks literature, the analysis finds that innovations in realized stock market volatility are robustly followed by contractions, while shocks to forward-looking uncertainty have no significant effect on the economy. Moreover, investors have historically paid large premia to hedge shocks to realized but not implied volatility. A model in which fundamental shocks are skewed left can match those facts. Aggregate volatility matters, but it is the realization of volatility, rather than uncertainty about the future, that has been associated with declines.

The traditional approach to obtain valid confidence intervals for non-parametric quantities is to select a smoothing parameter such that the bias of the estimator is negligible relative to its standard deviation. While this approach is apparently simple, it has two drawbacks: first, the question of optimal bandwidth selection is no longer well-defined, as it is not clear what ratio of bias to standard deviation should be considered negligible. Second, since the bandwidth choice necessarily deviates from the optimal (mean squares-minimizing) bandwidth, such a confidence interval is very inefficient. To address these issues, we construct valid confidence intervals that account for the presence of a non-negligible bias and thus make it possible to perform inference with optimal mean squared error minimizing bandwidths. The key difficulty in achieving this involves finding a strict, yet feasible, bound on the bias of a non-parametric estimator. It is well-known that it is not possible to consistently estimate the pointwise bias of an optimal non-parametric estimator (for otherwise, one could subtract it and obtain a faster convergence rate violating Stone’s bounds on the optimal convergence rates). Nevertheless, we find that, under minimal primitive assumptions, it is possible to consistently estimate an upper bound on the magnitude of the bias, which is sufficient to deliver a valid confidence interval whose length decreases at the optimal rate and which does not contradict Stone’s results.

Medical innovations during the 1940s quickly resulted in significant health improvements around the world. Countries with initially higher mortality from infectious diseases experienced larger increases in life expectancy, population, and subsequent social conflict. This cross-country result is robust across alternative measures of conflict and is not driven by differential trends between countries with varying baseline characteristics. A similar effect is also present within Mexico. Initial suitability conditions for malaria varied across municipalities, and anti-malaria campaigns had differential effects on population growth and social conflict. Both across countries and within Mexico, increased conflict over scarce resources predominates and this effect is more pronounced during times of economic hardship (specifically, in countries with a poor growth record and in drought-stricken areas in Mexico). At least during this time period, a larger increase in population made social conflict more likely.