Do economic integration agreements affect trade predictability? A group effect analysis

Recent theoretical findings in the trade literature suggest that economic integration agreements (EIAs) not only increase the level of trade but also make it more stable and predictable. This paper proposes a Hausman–Taylor quantile regression approach to identify the causal effect of EIA membership on trade predictability. The proposed methodology accounts for group effects in the gravity equation and is computationally efficient. Our results corroborate the theoretical findings that EIAs make trade more stable and predictable and this conclusion is even stronger for deeper EIAs.     

Prospect Theory in the Heterogeneous Agent Model

Using the Heterogeneous Agent Model framework, we incorporate an extension based on Prospect Theory into a popular agent-based asset pricing model. This extension covers the phenomenon of loss aversion manifested in risk aversion and asymmetric treatment of gains and losses. Using Monte Carlo methods, we investigate behavior and statistical properties of the extended model and assess how our extension is manifested in different strategies. We show that, on the one hand, the Prospect Theory extension keeps the essential underlying mechanics of the model intact, but on the other hand it considerably changes the model dynamics. Stability of the model is increased and fundamentalists may be able to survive in the market more easily. When only the fundamentalists are loss-averse, other strategies profit more.

     

Information Exchange and Transnational Environmental Problems

This paper analyzes information exchange in a model of transnational pollution control in which countries use private information in independently determining their domestic environmental policies. We show that countries may not always have an incentive to exchange their private information. However, for a sufficiently high degree of predictability of domestic environmental policy processes, the expected welfare from sharing information is greater than the expected welfare from keeping it private. The minimum degree of policy predictability for which information sharing occurs increases with the level of environmental risk. Intuitively, information exchange can help mitigate the perception of global uncertainty (both political and scientific) that surrounds transnational environmental problems and potentially improve welfare if policymaking processes are sufficiently aligned with evidence-based approaches (predictable).     

Disentangling types of liquidity and testing limits-to-arbitrage theories in the CDS–bond basis

We disentangle asset-specific, market, and funding liquidity in the CDS–bond basis outside and during the 2007–9 global financial crisis. Our findings stress the importance of separating different types of liquidity, since all three measures have independently negative impacts on the basis. Funding liquidity emerges as the economically most important liquidity metric. While asset-specific liquidity is cross-correlated in both the cash and derivative markets, funding and market liquidity only matter for the cash market. We exploit the decomposition of the basis to test predictions of limits-to-arbitrage theories. We find strong evidence in favor of margin-based asset pricing and flight-to-quality effects.     

A unified framework for robust modelling of financial markets in discrete time

Finance and Stochastics - We unify and establish equivalence between the pathwise and the quasi-sure approaches to robust modelling of financial markets in finite discrete time. In particular, we...     

Moving markets? Government bond investors and microeconomic policy changes

Do sovereign bond markets react systematically to microeconomic policy reforms? Some observers suggest that investors are very attentive to supply‐side policies such as those related to labor markets, corporate taxation, and product standards. They argue that, along with macroeconomic outcomes and broad financial market conditions, such reforms affect sovereign bond premiums, for developed as well as emerging economies. In contrast, we predict few systematic effects of supply‐side policy reforms on sovereign bond market outcomes. Our theory draws on a standard three‐equation model of the economy, widely accepted among economic and finance professionals. That model makes few clear predictions regarding the anticipated effects of microeconomic policy changes; as a result, we expect that such reforms will not generate systematic market reactions. Our analyses, based on daily data from 37 countries from 2004 to 2012, indeed reveal little evidence of a systematic bond market reaction to the 47 most significant reforms to corporate taxation and labor market regulation. These results call into question the notion that “bond market vigilantes” play a central role in compelling governments to enact specific microeconomic policy changes.     

Do data policy restrictions impact the productivity performance of firms and industries?

This paper examines how policies regulating the cross‐border movement and domestic use of electronic data on the internet impact the productivity of firms in sectors relying on electronic data. In doing so, we collect regulatory information on a group of developed economies and create an index that measures the regulatory restrictiveness of each country's data policies. The index is based on observable policy measures that explicitly inhibit the cross‐border movement and domestic use of data. Using cross‐country firm‐level and industry‐level data, we analyse econometrically the extent to which these data regulations over time impact the productivity performance of downstream firms and industries, respectively. We show that stricter data policies have a negative and significant impact on the performance of downstream firms in sectors reliant on electronic data. This adverse effect is stronger for countries with strong technology networks, for servicified firms, and holds for several robustness checks.     

The Headmaster Ritual: The Importance of Management for School Outcomes

We estimate the impact of individual principals on school outcomes by using panel data that allow us to track principals over time. We find that individual principals have a substantive impact on school policies, working conditions, and student outcomes. In particular, students who attend a school that has a one standard deviation better principal improve their achievement by between 0.05 and 0.1 standard deviations. Despite rich background information on principals, it is difficult to characterize successful management, suggesting that innate skills are central. We find that the scope for discretion is larger among voucher schools and in areas with school competition.