Targeting Revisited

Public spending programs aimed at alleviating poverty can eitherbe broadly targeted at categories ofspending or narrowly targetedat types of people. Each approach has benefits and costs tothe poor. It is often claimed that narrow targeting of the poorwill allow governments to reduce pQverty more effectively andat lower cost. But narrow targeting often has hidden costs,and once these costs are considered, the most finely targetedpolicy may not have any more effect on poverty than a broadlytargeted one. Both approaches also have hidden benefits, althoughless is known about their impact. Targeting can help, but itis not a cure-all. Reducing poverty calls for broadly targetedsocial sector spending combined with narrower targeting of cashand in-kind transfers to spec groups. It is also important forgovernments to experiment with schemes that offer better incentives,to carefully monitor the costs and outcomes, and to be flexibleand pragmatic in their policy responses.      

QUANTIFYING ABSOLUTE POVERTY IN THE DEVELOPING WORLD

We estimate that in 1985 about one in five persons in the developing world lived in poverty, judged by the standards of the poorest countries. This rises to one in three at a common, more generous, poverty line. The aggregate consumption short-fall of the poorest fifth is about one half of one percent of world consumption, while that of the poorest third is a further one percent. The shape of the distribution of consumption suggests that aggregate poverty would fall fairly rapidly if moderate growth in average consumption levels can be sustained, and the poor share at least proportionally in that growth. However, it would take only small adverse shifts in the world distribution of consumption to eliminate the gains to the poor from growth.     

Entrepreneurship and the Division of Ownership in New Ventures

The current study investigates a tripartite incentive contract between an innovator supplying an intellectual asset, a professional assigned to productive tasks, and a consulting firm specializing in matching ideas and professional skills. A rather simple pure tripartite partnership implements the consultant's expected profit maximum and maximizes the project's expected surplus. The liquidity-constrained professional is compensated by receiving a share of one half in the new venture. The consultant's and the innovator's shares reflect the relative value of search. However, the consultant's optimal search effort to find an appropriate production partner is inefficiently low .     

The dark side of making transit irresistible: The example of France

The French experience in developing policies to reduce car use in metropolitan areas is presented in this paper as an illustration of the lack of recognition of the broader set of criteria on which specific policy frameworks should be judged. One of the major challenges, and often failings of policies focussed on reducing car use, is the lack of a structure that ensures that the downside impacts are not relocated to other parts of a system such that potential gains end up being eroded by the potential losses. We draw on experiences throughout France, as well as case studies in Lyon, to highlight the dark side of French transport policy promoting a switch from car to public transit and non-motorised modes, in terms of financial, equity and environmental outcomes.     

Implementation issues on shrinkage estimators for seasonal factors within the X-11 seasonal adjustment method

This commentary on Miller and Williams [Intl. J. Forecast. 20 (2004)S29-49] discusses how shrinkage can be implemented within X12-ARIMA. We discuss how the seasonal factors are estimated in X12-ARIMA, how shrinkage can be translated into a moving average, if this is compatible with the philosophy behind the X12-ARIMA method, and suggest possible improvements.     

Community Targeting for Poverty Reduction in Burkina Faso

This article develops a method for targeting antipoverty programsand public projects to poor communities in rural and urban areas.The method calls for constructing an extensive data set froma large number of sources and then integrating the entire setinto a geographic information system. The data set includesdemographic data from the population census; household-leveldata from a variety of surveys; community-level data on localroad infrastructure, public facilities, water points, and soon; and department-level data on agroclimatic conditions. Aneconometric model that estimates the impact of household-, community-,and department-level variables on household consumption is usedto identify the key explanatory variables that determine thestandard of living in rural and urban areas. This model is thenapplied to predict poverty indicators for 3,871 rural and urbancommunities in Burkina Faso and to map the spatial distributionof poverty in the country. A simulation analysis assesses theeffectiveness of village-level targeting based on these predictions.The results show that such targeting is an improvement overregional targeting in that it reduces leakage and undercoverage.     

The Exogamic Nature of Sino-Foreign Joint Ventures

The paper suggests that Sino-foreign joint ventures areexogamicpartnerships. Three hypotheses were formulated: (1) partners pool differentiated sets of idiosyncratic and non-substitutable resources into their joint ventures; (2) they establish cooperation to gain access to resources provided by their counterparts; (3) the younger the partnership, the less the partners contribute with idiosyncratic resources. A questionnaire investigation was conducted into 67 Sino-foreign joint ventures. The test for H1 clearly demonstrated that each partner pools very different resources into the joint venture. H2 was also clearly supported by the data collected. However, H3 was weakly supported.     

A bayesian approach to time-varying cross-sectional regression models

This paper presents a Bayesian approach to regression models with time-varying parameters, or state vector models. Unlike most previous research in this field the model allows for multiple observations for each time period. Bayesian estimators and their properties are developed for the general case where the regression parameters follow an ARMA(s,q) process over time. This methodology is applied to the estimation of time-varying price elasticity for a consumer product, using biweekly sales data for eleven domestic markets. The parameter estimates and forecasting performance of the model are compared with various alternative approaches.     

Fortress Europe: Jericho or Château d’If?

Traditional analysis of customs union formation suggests that it leads to an increase in members' external tariffs. This paper stresses two aspects of European trade and trade policy—a large volume of intra-industry trade between similar countries and a political motivation for tariffs—and highlights a role for tariff coordination in a model of differentiated products in which tariffs affect domestic costs and thus export prices and the magnitude of monopolistic rents. We show that when workers choose the tariffs and receive but a small portion of tariff revenues, the union's tariff wall falls.