On the international transmission of technology shocks

Using vector autoregressions on U.S. time series and an aggregate of industrialized countries, we find that technology shocks appreciate the terms of trade and lower the trade balance; they induce an ‘S’-shaped cross-correlation function for both variables (the S-curve). In calibrating a prototypical international business cycle model under complete and incomplete financial markets, we find two distinct sets of parameter values. While both model specifications deliver the S-curve, the underlying transmission mechanism of technology shocks is fundamentally different. Most importantly, only in the incomplete markets economy the terms of trade appreciate and thus amplify the relative wealth effects of technology shocks—as suggested by the evidence.     

Productivity shocks, budget deficits and the current account

Productivity shocks and budget deficits are considered to be two key determinants of the current account. In order to assess formally the role of both factors in driving current account movements, the present paper extends the standard intertemporal model of the current account to allow for Non-Ricardian household behavior. Testable cross-equation restrictions for the current account and investment are derived by drawing on the distinction between country-specific and global innovations to productivity as well as to the government budget. We test the restrictions of the model against time series data for 21 OECD countries and find evidence in support of the model.     

A Bayesian analysis of market information linkages among NAFTA countries using a multivariate stochastic volatility model

NAFTA has arguably been the most important and elaborate free-trade agreement in history, providing a blueprint for potential new agreements. So far, the evidence is mixed as to whether NAFTA has been successful in terms of its economic impact. We fit a multivariate stochastic volatility model that directly measures financial information linkages across the three participating countries in a trivariate setting. The model detects significant changes in information linkages across the countries from the pre- to post-NAFTA period with a high degree of reliability. This has implications not only for measuring these linkages but also for hedging and portfolio diversification policies. An MCMC procedure is used to fit the model, and the accuracy and robustness of the method is confirmed by simulations.     

Global banking and international business cycles

This paper incorporates a global bank into a two-country business cycle model. The bank collects deposits from households and makes loans to entrepreneurs, in both countries. It has to finance a fraction of loans using equity. We investigate how such a bank capital requirement affects the international transmission of productivity and loan default shocks. Three findings emerge. First, the bank's capital requirement has little effect on the international transmission of productivity shocks. Second, the contribution of loan default shocks to business cycle fluctuations is negligible under normal economic conditions. Third, an exceptionally large loan loss originating in one country induces a sizeable and simultaneous decline in economic activity in both countries. This is particularly noteworthy, as the 2007–09 global financial crisis was characterized by large credit losses in the US and a simultaneous sharp output reduction in the US and the Euro Area. Our results thus suggest that global banks may have played an important role in the international transmission of the crisis.     

Crunch Time: A Policy to Avoid the 'Announcement Effect' when Terminating a Subsidy

Abstract. If the government announces the termination of a subsidy paid for an irreversible investment under uncertainty, investors might decide to realize their investment so as to obtain the subsidy. These investors might have postponed an investment if future payment were assured. Depending on the degree of uncertainty and the time preference, the termination of the subsidy might cost the government more in toto than granting the subsidy on a continuing basis. A better strategy would be to reduce the subsidy in parts rather than to terminate the subsidy in its entirety.     

Fact and Fiction in EU‐Governmental Economic Data

Abstract. To detect manipulations or fraud in accounting data, auditors have successfully used Benford's law as part of their fraud detection processes. Benford's law proposes a distribution for first digits of numbers in naturally occurring data. Government accounting and statistics are similar in nature to financial accounting. In the European Union (EU), there is pressure to comply with the Stability and Growth Pact criteria. Therefore, like firms, governments might try to make their economic situation seem better. In this paper, we use a Benford test to investigate the quality of macroeconomic data relevant to the deficit criteria reported to Eurostat by the EU member states. We find that the data reported by Greece shows the greatest deviation from Benford's law among all euro states.     

Principles of micro-behavior commodity transport modeling

This paper presents an agent-based approach to commodity transport modeling. It assesses the effects of behavior-oriented transport policy measures while taking complex logistics reaction patterns into account. It is structured by modules describing company generation, supplier choice, shipment-size choice, carrier choice and tour construction. The behavior of individual actors is simulated using normative logistics models and accumulated market knowledge. Using a bottom-up approach, shippers and carriers interact through simulated auctions of transport contracts resulting in the generation of tours. Simulations using the model prototype INTERLOG calibrated with German data demonstrate the capabilities and limitations of this approach.     

Jointness of growth determinants

This paper introduces a new measure of dependence or jointness among explanatory variables. Jointness is based on the joint posterior distribution of variables over the model space, thereby taking model uncertainty into account. By looking beyond marginal measures of variable importance, jointness reveals generally unknown forms of dependence. Positive jointness implies that regressors are complements, representing distinct but mutually reinforcing effects. Negative jointness implies that explanatory variables are substitutes and capture similar underlying effects. In a cross‐country dataset we show that jointness among 67 determinants of growth is important, affecting inference and informing economic policy. Copyright © 2009 John Wiley & Sons, Ltd.