The Dynamics of Commoditization in a Vietnamese Uplands Village, 1980–2000

Commodity markets have become key forces transforming upland livelihoods, social relations and landscapes in Vietnam and throughout Southeast Asia. This paper examines the processes of market formation and their effects on local livelihoods and social relations in a village of Vietnam's north-western uplands. The results indicate that villagers' reactions to new opportunities arising from decollectivization and market liberalization wove them into an increasingly intricate 'commodity web'. Differences among households widened as households with an initial advantage accumulated further advantages. Yet the relations governing access to land and product markets also provided a floor of subsistence for the disadvantaged. The findings demonstrate the need to interrogate commodity markets, investigate the practices and relations constituting them, and analyse how they distribute income and risks among the actors involved. The nature of commodity markets, together with the relations governing access to productive resources, influences processes of social differentiation in the uplands.     

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.     

The impact of microcredit on self‐employment profits in Vietnam

This study examines the impact of microcredit on household self‐employment profits in Vietnam. For two indicators of credit participation – a dichotomous participation dummy and the accumulated amount of microcredit received per household – the analysis reveals a positive effect on household profits. The analysis also reveals that an instrumental variable method within a fixed‐effects framework can control for the possible endogeneity of credit and thereby identify the true effect of credit.     

Does Greater Amount of Information Always Bolster Attitudinal Resistance?

Previous research suggests that attitudinal resistance to information that challenges a prior evaluation increases with the amount of information underlying the prior evaluation. We revisit this proposition in a context in which a set of important claims about a target brand are presented either alone—a lower amount of isolated information—or along with other favorable, but less important claims—a higher amount of embedded information. Results from two experiments show that when the challenge occurs immediately after the initial evaluation, a greater amount of embedded initial information does produce greater attitudinal resistance. However, when the challenge occurs after a delay, a lesser amount of isolated information produces greater attitudinal resistance. The findings qualify previous assumptions about the role of prior information in attitudinal resistance, and support a constructive view of judgment revision and attitudinal resistance.     

Analyzing the Memory Impact of Advertising Fragments

Marketers are making increasing use of very brief messages that mention just a brand name or a brand name with a short headline, as in event sponsorship and program endorsements. There has been debate over the effectiveness of these advertising fragments. This paper introduces an approach for controlled testing of the effects of advertising fragments. Using a reaction-time based procedure, we show that a key effect of advertising fragments is to revive established brand associations, even though these associations are not explicitly communicated. This reactivation occurs not only when these names receive focal attention, but also when they receive nonfocal attention.     

Predicting the sample mean by extreme order statistics

Summary This paper considers the prediction of the sample mean by extreme order statistics when the population distribution is known. The predictor and its mean square error are found. The problem is studied in details for the normal model.     

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.     

Optimal consumption policies in illiquid markets

We investigate optimal consumption policies in the liquidity risk model introduced by Pham and Tankov (Math. Finance 18:613–627, 2008). Our main result is to derive smoothness C ¹ results for the value functions of the portfolio/consumption choice problem. As an important consequence, we can prove the existence of the optimal control (portfolio/consumption strategy) which we characterize both in feedback form in terms of the derivatives of the value functions and as the solution of a second-order ODE. Finally, numerical illustrations of the behavior of optimal consumption strategies between two trading dates are given.     

Time Series Based Errors and Empirical Errors in Fertility Forecasts in the Nordic Countries*

We use ARCH time series models to derive model based prediction intervals for the Total Fertility Rate (TFR) in Norway, Sweden, Finland, and Denmark up to 2050. For the short term (5–10 yrs), expected TFR‐errors are compared with empirical forecast errors observed in historical population forecasts prepared by the statistical agencies in these countries since 1969. Medium‐term and long‐term (up to 50 years) errors are compared with error patterns based on so‐called naïve forecasts, i.e. forecasts that assume that recently observed TFR‐levels also apply for the future.