The role of extensive and intensive margins and export growth

We investigate and compare countries' export growth based on their performance at the extensive and intensive export margins. Our empirical approach is motivated by an extension to the Melitz (2003) model of heterogeneous firms in which exporters are subject to a one-time sunk cost and also a per-period fixed cost. With imperfect information a firm may enter export markets but shortly exit when it learns its per-period fixed costs. We apply this insight to disaggregated export data and confirm that indeed most export relationships are very short lived. We then show that the survival issue is a significant factor in explaining differences in long run export performance. We find that developing countries would experience significantly higher export growth if they were able to improve their performance with respect to the two key components of the intensive margin: survival and deepening.     

Common factors in Latin America's business cycles

We develop a common factor approach to reconstruct new business cycle indices for Argentina, Brazil, Chile, and Mexico (“LAC-4”) from a new dataset spanning 135 years. We establish the robustness of our indices through extensive testing and use them to explore business cycle properties in LAC-4 across outward- and inward-looking policy regimes. We find that output persistence in LAC-4 has been consistently high across regimes, whereas volatility has been markedly time-varying but without displaying a clear-cut relationship with openness. We also find a sizeable common regional factor driven by output and interest rates in advanced countries, including during inward-looking regimes.     

Does war influence individual expectations?

We analyse the effect of mass violent conflict on individual expectations in Northern Uganda. We find that the expectations of the future economic situation are negatively affected by recent conflict while the effect on broadly defined welfare is less robust.     

On the dynamics of international inflation

We investigate the dynamic properties of inflation in 20 OECD countries with a novel approach based on the autocorrelation function. We find evidence in favor of long memory and nonlinearity. Linear autoregressive models are shown to be misspecified.     

The impact of Preferential Trade Agreements on the margins of international trade

In this paper we consider the trade creating effects of Preferential Trade Agreements (PTAs) for a large sample of countries within the period 1962-2000. The paper builds upon existing literature by examining whether any significant effects of PTAs occur through a change in the variety of exports (the extensive margin) or through a change in the volume of existing products (the intensive margin). To address this issue we employ the commonly used gravity equation as well as a matching approach to deal with potential self-selection problems. Our results indicate that exports respond positively to the formation of a PTA between countries, and that much of this increase in exports occurs along the extensive margin. We also show that the extensive margin responds more strongly to the formation of a PTA in larger exporters and for larger country pairs.     

Control variate method for stationary processes

The sample mean is one of the most natural estimators of the population mean based on independent identically distributed sample. However, if some control variate is available, it is known that the control variate method reduces the variance of the sample mean. The control variate method often assumes that the variable of interest and the control variable are i.i.d. Here we assume that these variables are stationary processes with spectral density matrices, i.e. dependent. Then we propose an estimator of the mean of the stationary process of interest by using control variate method based on nonparametric spectral estimator. It is shown that this estimator improves the sample mean in the sense of mean square error. Also this analysis is extended to the case when the mean dynamics is of the form of regression. Then we propose a control variate estimator for the regression coefficients which improves the least squares estimator (LSE). Numerical studies will be given to see how our estimator improves the LSE.     

Gravity, trade integration, and heterogeneity across industries

We derive a micro-founded measure of bilateral trade integration that is consistent with a broad range of leading gravity models. This measure accounts for cross-industry heterogeneity by incorporating substitution elasticities estimated at the industry level. We then use it to provide a theory-based ranking of trade integration across manufacturing industries in European Union countries. In addition, we explore the determinants of trade integration, finding that substantial Technical Barriers to Trade in certain industries as well as high transportation costs associated with heavy-weight goods are the most notable trade barriers.     

The specific factors continuum model, with implications for globalization and income risk

This paper embeds the specific factors model in the goods continuum approach of Dornbusch et al. (1977, 1980) and applies it to analyze the effect of globalization on income risk. Globalization amplifies sector specific income risk induced by idiosyncratic sectoral technology shocks, but tends to reduce income risk to both mobile and immobile factors induced by aggregate technology shocks that differ by country. Aggregate risk bears most heavily on the poorest specific factors.     

Cluster-based industrialization in China: Financing and performance

China's rapid industrialization despite the lack of a well developed financial system seems to defy the conventional thinking on the role of finance in development. This paper tries to explain the puzzle from the clustering point of view. Based on firm-level data from two recent censuses, we find that within industrial clusters: finer division of labor lowers the capital barriers to entry; closer proximity makes the provision of trade credit among firms easier. With less reliance on external financing, more small firms emerge within clusters, leading to higher levels of export and total factor productivity thanks to the resultant more fierce competition.     

Risk and return in convertible arbitrage: Evidence from the convertible bond market

In this paper, we identify and document the empirical characteristics of the key drivers of convertible arbitrage as a strategy and how they impact the performance of convertible arbitrage hedge funds. We show that the returns of a buy-and-hedge strategy involving taking a long position in convertible bonds (“CBs”) while hedging the equity risk alone explains a substantial amount of these funds' return dynamics. In addition, we highlight the importance of non-price variables such as extreme market-wide events and the supply of CBs on performance. Out-of-sample tests provide corroborative evidence on our model's predictions. At a more micro level, larger funds appear to be less dependent on directional exposure to CBs and more active in shorting stocks to hedge their exposure than smaller funds. They are also more vulnerable to supply shocks in the CB market. These findings are consistent with economies of scale that large funds enjoy in accessing the stock loan market. However, the friction involved in adjusting the stock of risk capital managed by a large fund can negatively impact performance when the supply of CBs declines. Taken together, our findings are consistent with convertible arbitrageurs collectively being rewarded for playing an intermediation role of funding CB issuers whilst distributing part of the equity risk of CBs to the equity market.