Research Database

We analyze the Italian economy in the interwar years. In Italy, as in many other countries, the years immmediately after 1929 were characterized by a major slowdown in economic activity as non farm output declined almost 12. We argue that the slowdown cannot be explained solely by productivity shocks and that other factors must have contributed to the depth and duration of the the 1929 crisis. We present a model in which trade restrictions together with wage rigidities produce a slowdown in economic activity that is consistent with the one observed in the data. The model is also consistent with evidence from sectorial disaggregated data. Our model predicts that trade restrictions can account for about 3/4 of the observed slowdown while wage rigidity (monetary shocks) can account for the remaining fourth.

The durable goods sector is much more interest sensitive than the non-durables sector, and these sectoral differences have important implications for monetary policy. In this paper, we perform VAR analysis of quarterly US data and find that a monetary policy innovation has a peak impact on durable expenditures that is roughly five times as large as its impact on non-durable expenditures. We then proceed to formulate and calibrate a two-sector dynamic general equilibrium model that roughly matches the impulse response functions of the data. We derive the social welfare function and show that the optimal monetary policy rule responds to sector-specific inflation rates and output gaps. We show that some commonlyprescribed policy rules perform poorly in terms of social welfare, especially rules that put a higher weight on inflation stabilization than on output gap stabilization. By contrast, it is interesting that certain rules that react only to aggregate variables, including aggregate output gap targeting and rules that respond to a weighted average of price and wage inflation, may yield a welfare level close to the optimum given a typical distribution of shocks.

Monetary policy research using time series methods has been criticized for using more information than the Federal Reserve had available in setting policy. To quantify the role of this criticism, we propose a method to estimate a VAR with real-time data while accounting for the latent nature of many economic variables, such as output. Our estimated monetary policy shocks are closely correlated with a typically estimated measure. The impulse response functions are broadly similar across the methods. Our evidence suggests that the use of revised data in VAR analyses of monetary policy shocks may not be a serious limitation.

In this paper we will consider a simple small open economy with three assets - domestic capital, foreign securities and public debt - to study the government's incentives to devalue and to repay or default the debt. We show that the announcement of a devaluation is anticipated by domestic agents who reduce domestic investments and increase foreign holdings. Once a government devalues, the expectations vanish and the economy recovers its past levels of investment and GDP. However, in a country with international debt denominated in US dollars if a government devalues it requires a higher fraction of GDP to repay its external debt. In consequence, there exists a trade-off between recovering the economy and increasing the future cost of repaying the debt. Our main result is to show that, as devaluation beliefs exists, a devaluation increase government incentives to default and devalue. We calibrate our model to match the decrease in investment of domestic capital, the reduction in production, the increase in trade balance surplus, and the increase in debt levels observed throughout 2001 in Argentina. We show that for a probability of devaluation consistent with the risk premium of the Argentinian Government bonds nominated in dollars issued on April 2001 the external debt of Argentina was in a crisis zone were the government find optimal to default and to devalue.

A necessary feature for equilibrium is that beliefs about the behavior of other agents are rational. We argue that in stationary OLG environments this implies that any future generation in the same situation as the initial generation must do as well as the initial generation did in that situation. We conclude that the existing equilibrium concepts in the literature do not satisfy this condition. We then propose an alternative equilibrium concept, organizational equilibrium, that satisfies this condition. We show that equilibrium exists, it is unique, and it improves over autarky without achieving optimality. Moreover, the equilibrium can be readily found by solving a maximization program.