Does Aid Cause Trade? Evidence from an Asymmetric Gravity Model

Anderson and vanWincoop developed what has become the standard framework for framing and interpreting empirical work using the gravity model. Their framework relies heavily on an assumption of symmetry among countries. For issues related to North‐South trade, this assumption is problematic. In this paper, we develop an asymmetric extension of the Anderson–vanWincoop framework appropriate to the analysis of North‐South trade, where Northern countries produce differentiated goods and Southern countries homogenous ones. In addition, we use an appropriately extended version of Baier and Bergtrand and Taylor linear expansion – thus permitting its estimation using (good old) OLS. The result is an empirical model that (i) is better suited to the analysis of North‐South trade, (ii) is easy to estimate and compute comparative statics, not requiring a customised NLS routine and, given the way the South is included, (iii) provides a simple explanation of zero trade flows between some country pairs, a fact still not fully explained in the literature. As an illustration of its use, we examine the empirical link between foreign aid and trade.     

Using social media to report financial results

The growing influence of social media on financial performance reporting creates opportunities and challenges for both executives and corporate communications teams. This Accounting Matters feature provides background on current business reporting practices (including new SEC regulations) and insights from recent research on communication of financial results. The conclusion discusses future trends and provides recommendations for executives to consider when designing, implementing, and evaluating media and investor relations communication initiatives.     

Networks,firms, and trade

Fixed costs associated with learning about demand and setting up distribution networks are expected to be lower when there are more potential contacts in the destination market, suggesting a greater probability of market entry and larger export revenues. We match historically-determined emigration stocks with detailed firm-level data from Portugal to examine the effect of migrant networks on these export outcomes. We find that larger stocks of emigrants in a given destination increase export participation and intensity. In addition, we show that the former of these effects tends to be more pronounced among firms that are more likely to have close ties with the emigrants. These results are consistent with a multiple-destination version of the Melitz (2003) model featuring market-specific entry costs and idiosyncratic firm-destination demand shocks.     

The Breakdown of Idiosyncratic Volatility Into Expected and Unexpected Components and Its Effects on Stock Returns in Brazil

Based on studies of idiosyncratic volatility developed in the recent literature, this study analyzes its relation with expected returns through the breakdown of idiosyncratic volatility in the Brazilian stock market and presents evidence of the importance of expected idiosyncratic volatility for asset pricing. We study the impact of the expected and unexpected components of idiosyncratic volatility on the returns of shares listed on the BOVESPA between 2004 and 2011. The results show a strong positive and significant relation between expected idiosyncratic volatility and returns. This evidence is highlighted when we use unexpected idiosyncratic volatility to control for unexpected returns. Additional robustness tests, controlling for size and momentum effects, also have positive and significant coefficients, corroborating previous findings.     

Estimating the extensive margin of trade

Understanding and quantifying the determinants of the number of sectors or firms exporting in a given country is of relevance for the assessment of trade policies. Estimation of models for the number of exporting sectors, however, poses a challenge because the dependent variable has both a lower and an upper bound, implying that the partial effects of the explanatory variables on the conditional mean of the dependent variable cannot be constant. We argue that ignoring these bounds can lead to erroneous conclusions and propose a flexible specification that accounts for the doubly-bounded nature of the dependent variable. We empirically investigate the problem and the proposed solution, finding significant differences between estimates obtained with the proposed estimator and those obtained with standard approaches.