Targeting agricultural research to benefit poor farmers: Relating poverty mapping to maize environments in Mexico

We explore approaches for targeting agricultural research to benefit poor farmers. Using small area estimation methods and spatial analysis, we generated high-resolution poverty maps and combined them with geo-referenced biophysical data relevant to maize-based agriculture in Mexico. We used multivariate classification and cluster analysis to synthesize biophysical data relevant for crop performance with rural poverty data. Results show that the rural poor are concentrated in particular regions and under particular circumstances. Formal maize germplasm improvement trials were largely outside the core areas of rural poverty and there was little evidence for direct spillover of improved germplasm. Agro-climatic classification used for targeting breeding is useful but often ignores some important factors identified as relevant for the poor. Combining this method with poverty mapping improves stratifying and targeting crop breeding efforts to meet the demands of resource-poor farmers. We believe this integrated approach will help increase benefits from agricultural research to poor rural communities.     

Theory of Storage and the Pricing of Commodity Claims

We extend the literature on commodity pricing by incorporating a link between the spread of forward prices and spot price volatility suggested by the theory of storage. Our model has closed form solutions that are generalizations of the two-factor model of Gibson–Schwartz (1990). We estimate the model on daily copper spot and forward prices using the Kalman filter methodology. Our findings confirm the link between the forward spread and volatility, but also show that the Gibson–Schwartz (1990) model prices forward contracts almost as well. In the pricing of option contracts, however, there are significant differences between the models.     

Commercial Office Space: Testing the Implications of Real Options Models with Competitive Interactions

We test the implications of real option pricing models with competitive interactions for commercial real estate development. The competitive nature of a local commercial real estate market relies on a Herfindahl ratio derived from individual developers' shares of total office construction in their market. All else being equal, greater competition among local developers is associated with more building starts. Other variables suggested by the real options pricing model, including the volatility of local lease rates, are also found to be statistically important. In addition, we provide evidence consistent with greater competition attenuating the extent to which increases in volatility delay commercial real estate development.     

International financial integration through the law of one price: The role of liquidity and capital controls

This paper takes advantage of the fact that some stocks trade both in domestic and international markets to characterize the degree of international financial integration. The paper argues that the cross-market premium (the ratio between the domestic and the international market price of cross-listed stocks) provides a valuable measure of international financial integration and the effectiveness of capital controls. Using autoregressive (AR) models to estimate convergence speeds and non-linear threshold autoregressive (TAR) models to identify non-arbitrage bands, the paper shows that price deviations across markets are rapidly arbitraged away and bands are narrow, particularly so for liquid stocks. The paper also shows that regulations on cross-border capital flows effectively segment domestic markets. As expected, the effects of both types of capital controls are asymmetric but in the opposite direction: controls on outflows induce positive premia, while controls on inflows generate negative premia. Both vary with the intensity of capital controls.     

Model selection via genetic algorithms illustrated with cross-country growth data

We provide a new simple procedure for selecting econometric models, which is used to select the regressors of the cross-country growth model regression. This procedure is based on a heuristic approach called genetic algorithms which are used to explore the universe of models made available by a General Unrestricted Model. This search process of the correct model is only guided by the Schwarz information criterion, which acts as the loss function of the genetic algorithm in order to rank the models. Our procedure shows good performance relative to other alternative methodologies when they are compared in a simulation environment. This research was supported by the Spanish Ministry of Science and Education through the project SEJ2006-07701.     

Contextualizing the subjectivist-objectivist debate in entrepreneurship using engineering,art, craft,and bricolage

The debate regarding the degree to which opportunities and resources are social constructions risks stagnation because it is difficult to argue that opportunities are either entirely constructed or entirely objective. In this paper we seek to contribute to this debate by introducing some overlooked aspects of the work of Lévi-Strauss (1962) as they relate to the discussion of entrepreneurial opportunities and resources. A categorization scheme of entrepreneurs based on Lévi-Strauss’ categories of art, craft, engineering and bricolage can be used to help differentiate the ways in which entrepreneurs view opportunities and resource acquisition, and how those views impact entrepreneurial action and ultimately entrepreneurial success. This contrasts with the more traditional entrepreneurship literature, which views opportunities as objective phenomena and opportunity identification and exploitation as completely rational.     

A text message away: ICTs as a tool to improve food security

The growing use of ICTs around the world, particularly cellular phone technology, provides a significant development opportunity. Under certain situations, ICTs can improve rural households’ agricultural production, farm profitability, job opportunities, adoption of healthier practices, and risk management. All these effects have the potential to increase wellbeing and food security in rural areas of developing countries. Several challenges to effectively scaling up the use of ICTs for development remain, however. Taking advantage of the opportunities provided by ICTs depends on increased connectivity of marginalized population groups, the content and usefulness of the information provided through ICTs, and the capacity of households in rural areas to understand and act on the information that they receive. We need innovative ways to bring together the public and private sectors to ensure that the three Cs (connectivity, content, and capacity) are addressed as a whole.     

Living on the edge: vulnerability to poverty and public transfers in Mexico

Social policy in Mexico has focused on identifying and supporting households in extreme poverty. Yet, the country has a significant number of households just above the poverty line who are not eligible, by definition, for antipoverty programmes and are at risk of falling into poverty in the event of adverse shocks without appropriate social safety nets. This study uses cross-section and longitudinal data to understand better the profile of those ‘vulnerable’ households, their risk exposure, and the extent to which they are covered by public transfers and insurance mechanisms. The analysis shows that until 2010 most social programmes, including the few with productive components, barely covered the vulnerable. The study calls for public policies to pay attention to the vulnerable and find a policy mix on the continuum between targeted interventions and universal insurance schemes to serve this income group.