Shared knowledge

Agents use their knowledge on the history of the economy in orderto choose what is the optimal action to take at any given moment of time,but each individual observes history with some noise. This paper showsthat the amount of information available on the past evolution of theeconomy is an endogenous variable, and that this leads to overconcentrationof the investment, which can be interpreted as underinvestment in research.It presents a model in which agents have to invest at each period in one of$K$ sectors, each of them paying an exogenous return that follows a welldefined stochastic path. At any moment of time each agent receives an unbiasednoisy signal on the payoff of each sector. The signals differ across agents,but all of them have the same variance, which depends on the aggregate investmentin that particular sector (so that if almost everybody invests in it theperceptions of everybody will be very accurate, but if almost nobody doesthe perceptions of everybody will be very noisy). The degree of hetereogeneityacross agents is then an endogenous variable, evolving across time determining,and being determined by, the amount of information disclosed.As long as both the level of social interaction and the underlying precisionof the observations are relatively large agents behave in a very preciseway. This behavior is unmodified for a huge range of informational parameters,and it is characterized by an excessive concentration of the investment ina few sectors. Additionally the model shows that generalized improvements in thequality of the information that each agent gets may lead to a worse outcomefor all the agents due to the overconcentration of the investment that thisproduces.

Interbank liquidity crunch and the firm credit crunch: Evidence from the 2007-2009 crisis

We study the credit supply effects of the unexpected freeze of the Europeaninterbank market, using exhaustive Portuguese loan-level data. We find thatbanks that rely more on interbank borrowing before the crisis decrease theircredit supply more during the crisis. The credit supply reduction is stronger forfirms that are smaller, with weaker banking relationships. Small firms cannotcompensate the credit crunch with other sources of debt. Furthermore, theimpact of illiquidity on the credit crunch is stronger for less solvent banks.Finally, there are no overall positive effects of central bank liquidity, but higherhoarding of liquidity.

Regional growth in Japan

I study the role of internal migration in income convergence acrossregions in Japan. Neoclassical theory predicts that migration should have beenan important source of convergence. Regression results, however, suggest thatmigration did not contribute to convergence. I investigate the possibilitythat this discrepancy is explained by taking into account the effects ofmigration on population composition, especially on educational attainment.I propose an empirical approach to quantify this ``educational compositioneffect''. It is shown that, although this effect did slow down convergence,its magnitude was too small to account for the discrepancy between theoryand empirics.

Bowling for fascism: Social capital and the rise of the Nazi Party in Weimar Germany, 1919-33

Social capital a dense network of associations facilitating cooperation within a community typically leads to positive political and economic outcomes, as demonstrated by a large literature following Putnam. A growing literature emphasizes the potentially "dark side" of social capital. This paper examines the role of social capital in the downfall of democracy in interwar Germany by analyzing Nazi party entry rates in a cross-section of towns and cities. Before the Nazi Party's triumphs at the ballot box, it built an extensive organizational structure, becoming a mass movement with nearly a million members by early 1933. We show that dense networks of civic associations such as bowling clubs, animal breeder associations, or choirs facilitated the rise of the Nazi Party. The effects are large: Towns with one standard deviation higher association density saw at least one-third faster growth in the strength of the Nazi Party. IV results based on 19th century measures of social capital reinforce our conclusions. In addition, all types of associations veteran associations and non-military clubs, "bridging" and "bonding" associations positively predict NS party entry. These results suggest that social capital in Weimar Germany aided the rise of the Nazi movement that ultimately destroyed Germany's first democracy.

Bubbly collateral and economic activity

This paper develops a model of the bubbly economy and uses it to study the effects of bailoutpolicies. In the bubbly economy, weak enforcement institutions do not allow firms to pledge futurerevenues to their creditors. As a result, "fundamental" collateral is scarce and this impairs the intermediationprocess that transforms savings into capital. To overcome this shortage of "fundamental"collateral, the bubbly economy creates "bubbly" collateral. This additional collateral supports anintricate array of intra- and inter-generational transfers that allow savings to be transformed intocapital and bubbles. Swings in investor sentiment lead to fluctuations in the amount of bubblycollateral, giving rise to bubbly business cycles with very rich and complex dynamics.Bailout policies can affect these dynamics in a variety of ways. Expected bailouts provideadditional collateral and expand investment and the capital stock. Realized bailouts reduce thesupply of funds and contract investment and the capital stock. Thus, bailout policies tend to fosterinvestment and growth in normal times, but to depress investment and growth during crisis periods.We show how to design bailout policies that maximize various policy objectives.

Human capital, the structure of production and growth

Do high levels of human capital foster economic growth by facilitating technology adoption? If so, countries with more human capital should have adopted more rapidly the skilled-labor augmenting technologies becoming available since the 1970 s. High human capital levels should therefore have translated into fast growth in more compared to less human-capital-intensive industries in the 1980 s. Theories of international specialization point to human capital accumulation as another important determinant of growth in human-capital-intensive industries. Using data for a large sample of countries, we find significant positive effects of human capital levels and human capital accumulation on output and employment growth in human-capital-intensive industries.

I just ran four million regressions

In this paper I try to move away from the Extreme Bounds method ofidentifying ``robust'' empirical relations in the economic growth literature.Instead of analyzing the extreme bounds of the estimates of the coefficientof a particular variable, I analyze the entire distribution. My claimin this paper is that, if we do this, the picture emerging from theempirical growth literature is not the pessimistic ``Nothing is Robust''that we get with the extreme bound analysis. Instead, we find that asubstantial number of variables can be found to be strongly relatedto growth.

The effect of unemployment spells on subsequent wages in Spain

In our analysis we try and recover the wage loss from unemploymentin Spain and see how it is affected by previous unemploymentexperience, unemployment duration, eligibility for unemploymentbenefits, and previous wages. We also study its variations acrossgroups. Our main conclusion is that while there is some evidencethat labour market rigidities tend to lower it, the wage loss ofdisplaced workers is remarkably high: more than 30%, that is,twice the equivalent figure for the US and France. Wages in Spainsuffer from a serious mismeasurement problems that we do our best tocontrol, so that our results are less robust than the ones thatwould be obtained with better data sets. However, they indicate a large level of wage flexibility in Spain.

Business cycle measurement with some theory

A method to evaluate cyclical models not requiring knowledge of the DGP and the exact specificationof the aggregate decision rules is proposed. We derive robust restrictions in a class of models; use someto identify structural shocks in the data and others to evaluate the class or contrast sub-models. Theapproach has good properties, even in small samples, and when the class of models is misspecified. Themethod is used to sort out the relevance of a certain friction (the presence of rule-of-thumb consumers)in a standard class of models.