The aim of this paper is to study the optimal duration of unemployment benefit entitlement across the business cycle. We analyze whether the entitlement duration should be prolonged in bad and shortened in good times. Because of consumption smoothing, such a countercyclical policy can be welfare-enhancing as long as it does not affect labor market adjustment too severely and/or as long as it can even help to reduce inefficiencies there. If, however, the labor market is already quite inflexible, procyclical behavior may be preferable. In a calibrated dynamic business cycle framework, we find that countercyclical benefit entitlement duration may be preferable in the United States but not in Europe.

Using a two-sector endogenous growth model, the speed of convergence is determined primarily by the gap in rates of return between physical and human capital. In closed economies, for a typical situation of having relatively less physical capital than in a steady state, the return on physical capital will be significantly high, whereas the return on human capital will be relatively low. This gap in rates of return is quite large when the economy is not at its steady state. In open economies, where human capital is nontradable, the gap in rates of return is small, as is the gap between the international interest rate (which is less than the closed economies return on physical capital) and the return on human capital. Convergence in open economies will be relatively slow, and convergence in closed economies will be relatively fast, and therefore there is little gain from financial liberalization.

We construct a multiple-shock, discrete-time version of the Mortensen–Pissarides labor market search model to investigate the basic model's well-known tendency to underpredict the volatility of key labor market variables. In addition to the standard labor productivity shock, we introduce shocks to matching efficiency and job separation. We estimate the multiple-shock model and then simulate its properties. Although it generates significantly more volatility while preserving the Beveridge curve relationship, the multiple-shock model generates counterfactual implications for the cyclicality of job separations. Using a business cycle accounting approach, next we show that the model requires significantly procyclical and volatile matching efficiency and counterfactually procyclical job separations to render the observed data without error. We conjecture that the basic Mortensen–Pissarides model lacks mechanisms to generate sufficiently strong labor market reallocation over the business cycle, and suggest nontrivial labor force participation and job-to-job transitions as promising avenues of research.

We investigate the stability properties of Muth's model of price movements when agents choose a production level using replicator dynamic learning. It turns out that when there is a discrete set of possible production levels, possible stable states and stability conditions differ between adaptive learning and replicator dynamic learning.

We examine the evolution of monetary policy rules in a group of inflation-targeting countries (Australia, Canada, New Zealand, Sweden, and the United Kingdom), applying a moment-based estimator in a time-varying parameter model with endogenous regressors. From this novel flexible framework, our main findings are threefold. First, monetary policy rules change gradually, pointing to the importance of applying a time-varying estimation framework. Second, the interest-rate smoothing parameter is much lower than typically reported by previous time-invariant estimates of policy rules. External factors matter for all countries, although the importance of the exchange rate diminishes after the adoption of inflation targeting. Third, the response of interest rates to inflation is particularly strong during periods when central bankers want to break a record of high inflation, such as in the United Kingdom or Australia at the beginning of the 1980s. Contrary to common perceptions, the response becomes less aggressive after the adoption of inflation targeting, suggesting a positive anchoring effect of this regime on inflation expectations. This result is supported by our finding that inflation persistence typically decreased after the adoption of inflation targeting.

We study the conditions that ensure rational expectations equilibrium (REE) determinacy and expectational stability (E-stability) in a standard sticky-price model augmented with the cost channel. We allow for varying degrees of pass-through of the policy rate to bank-lending rates. Strong cost-side effects limit the size of the policy rate response to inflation that is consistent with determinacy, so that inflation-targeting policies may not be capable of ensuring REE uniqueness. In this case it is advisable to combine policy rate responses to inflation with an appropriate reaction to the output gap and/or firm profitability. The negative reaction of real activity and asset prices to inflationary shocks adds a negative force to inflation responses that counteracts the borrowing cost effect and prevents expectations of higher inflation from becoming self-fulfilling.

This paper uses spectral theory to develop the following two testable hypotheses in a unified framework for the predictions of business-cycle and endogenous growth models: (i) financial development affects only business-cycle volatility; and (ii) shocks affect both business-cycle volatility and long-run volatility of GDP growth. In other words, volatility caused by shocks is more persistent than that caused by financial underdevelopment. We decompose the business-cycle and long-run volatility by the spectral method and then test the hypotheses at the cross-country level. Empirical evidence provides support for both hypotheses. Higher private credit, a bank-based measure of financial development, dampens business-cycle volatility but not long-run volatility. Volatility of shocks, as measured by the volatility of changes in the terms of trade, magnifies both business-cycle and long-run volatility. The results are robust to accounting for endogeneity, a market-based measure of financial development, and an alternative method of volatility decomposition.

Industrial production and employment in Italy were hard hit by the Great Depression, and remained below trend until at least 1936. Few quantitative studies have been conducted on the causes of Italy's recession and slow recovery. Using monthly data, and reviving an aggregate supply model published in Bernanke and Carey [Quarterly Journal of Economics 111 (1996), 853–883], we empirically test whether Italy's 1930s industrial performance could be related to the Fascist wage and price policies, which, aiming at keeping workers' real wages constant, actually raised firms' labor costs, computed as nominal wages deflated by wholesale prices, hence stalling industrial production. We find evidence of a strong countercyclicality of real wages and of nominal wage stickiness in the period 1929–1936, which would confirm our hypothesis. Trade restrictions are found to play a smaller role in hindering industrial production than previously stated in the literature, whereas we confirm the weak transmission of financial turbulence to the real economy.