Institutions for private sector development and pro‐poor growth: Evidence from Vietnam

Using the Vietnam Household Living Standards Survey 2008, we explore the differences in pro‐poor growth performance in provinces in Vietnam according to the quality of the provinces’ institutions that support private sector activity. We exploit the localized and varying effect of French colonial legacy across Vietnamese provinces to address the endogeneity of institutions. We find strong and robust evidence of a positive effect of good‐quality institutions that support private sector activity on pro‐poor growth and that enhanced working hours and hourly wage and extended income from non‐farm self‐employment play critical roles in this outcome.     

Estimating the gravity model when zero trade flows are frequent and economically determined

ABSTRACT

Since the 1950s, we have known that the presence of zero-valued dependent variables can seriously bias econometric estimates whether the zeros are included or excluded. Yet the widely-used gravity model is frequently estimated on samples that include large fractions of zeros. An influential paper by Santos Silva and Tenreyro – based on simulations that include no economically-determined zeros – concludes that the bias problems resulting from zeros and those resulting from heteroscedasticity and nonlinearity can be solved using the Poisson Pseudo-Maximum-Likelihood (PPML) model including the zero values. This paper begins by adapting the Santos Silva and Tenreyro experimental design to include economically-determined zeros to see whether this conclusion continues to hold. With this design, it finds that alternative estimators have lower bias than PPML. Changing to a Monte Carlo design that replicates the much-higher real-world frequency of predicted values near zero restores the finding of lower bias with the PPML estimator. The results highlight the need for very careful design of Monte Carlo experiments when evaluating alternative estimators of the gravity model.     

Exceptional performance of multinational suppliers: theory and evidence

Review of World Economics - This paper focuses on an unexamined area of trade—the behaviour of heterogeneous intermediate suppliers facing final producers of different ability and pursuing...     

Gender differences in formal credit approaches: rural households in Vietnam

In Vietnam, women have poorer access to formal credit than men. This article determines the extent to which borrowing constraints restrict women’s access to formal credit and identifies the socioeconomic characteristics that determine formal credit discrimination. The study used secondary data from the Vietnam Access to Resources Household Survey (VARHS) published in 2013–14, and analysis was undertaken by econometric approaches such as logistic and multiple linear regression models and propensity score matching methods. The results show that among those participants who successfully obtained credit, approximately 85 per cent of women obtained less credit than men; and the amount of credit that women obtained was also less (on average, approximately 1.8 per cent less). Gender, number of years of schooling, marital status, participation in agricultural activities, off‐farm employment, and ownership of agricultural land for a male‐headed household positively influenced discrimination in obtaining credit and the amount of credit obtained. Moreover, the propensity score matching results found that the average increase in the credit obtained by males was 220,000 Vietnamese Dong (VND) and this is mainly due to discrimination in favour of men. The results suggest that policy action is needed to avoid discrimination in credit disbursement on the basis of gender.     

Equal opportunity and poverty reduction: How should aid be allocated?

This paper analyzes a model of aid allocation equalizing the opportunity between recipient countries to reach a common poverty reduction goal. We propose a fair and efficient aid allocation based on a multicriteria principle. The model considers structural handicaps in recipient countries in terms of lack of human capital and economic vulnerability, their initial poverty, and the natural gap between the growth rate required to reach a development goal and the observed one. We show that our proposed aid allocation favors poor and vulnerable countries with our multicriteria principle. It substantially differs from the observed allocation. Analyses also shed light on the impact of the donors' aversion to the low natural growth gap in recipient countries on the optimal aid allocation and the marginal efficiency of aid.     

Shipping cost and development of the landlocked developing countries: Panel evidence from the common correlated effects approach

We estimate the impact of shipping cost on development for landlocked developing countries (LLDCs). Since container trade is important to them, we construct a country-specific measure of shipping cost, called HarpexCost, which combines the global cost of container shipping with information on how exposed to container shipping each LLDC is. We employ the common correlated effects (CCE) estimator of Pesaran (Econometrica, 2006; 55: 967) to first estimate the impact of HarpexCost on the LLDCs’ development, and then recover the actual impact of shipping cost from these estimates. Overall, we observe that shipping cost has large negative effects on the LLDCs. Building upon these results, we provide new estimates on the cost of landlockedness and how trade benefits their development.     

Robust Markowitz mean‐variance portfolio selection under ambiguous covariance matrix

This paper studies a robust continuous‐time Markowitz portfolio selection problem where the model uncertainty affects the covariance matrix of multiple risky assets. This problem is formulated into a min–max mean‐variance problem over a set of nondominated probability measures that is solved by a McKean–Vlasov dynamic programming approach, which allows us to characterize the solution in terms of a Bellman–Isaacs equation in the Wasserstein space of probability measures. We provide explicit solutions for the optimal robust portfolio strategies and illustrate our results in the case of uncertain volatilities and ambiguous correlation between two risky assets. We then derive the robust efficient frontier in closed form, and obtain a lower bound for the Sharpe ratio of any robust efficient portfolio strategy. Finally, we compare the performance of Sharpe ratios for a robust investor and for an investor with a misspecified model.     

Does bank competition promote financial inclusion? A cross-country evidence

The idea of financial inclusion has recently been discussed as one of the key strategies to enhance economic development (World Bank 2014). We move this discussion forward by examining if bank competition is a crucial component enforcing financial inclusion, which is arguably a finance supply-side driven process. In this study, we compute the financial inclusion index built on Sarma (2008) approach to better reflect banks’ willingness and capability to provide financial services. Applying System Generalized Method of Moments to the panel of 93 countries, we find that bank competition promotes financial inclusion.     

Optimal surveillance against foot‐and‐mouth disease: the case of bulk milk testing in Australia

Previous foot‐and‐mouth disease (FMD) outbreaks and simulation‐based analyses suggest substantial payoffs from detecting an incursion early. However, no economic measures for early detection have been analysed in an optimising framework. We investigate the use of bulk milk testing (BMT) for active surveillance against an FMD incursion in Australia. We find that BMT can be justified, but only when the FMD entry probability is sufficiently high or the cost of BMT is low. However, BMT is well suited for post‐outbreak surveillance, to shorten the length of time and size of an epidemic and to facilitate an earlier return to market.