Trees, tenure and conflict: Rubber in colonial Benin

Tree crops have changed land tenure in Africa. Planters have acquired more permanent, alienable rights, but have also faced disputes with competing claimants and the state. I show that the introduction of Para rubber had similar effects in the Benin region of colonial Nigeria. Planters initially obtained land by traditional methods. Mature plantations were assets that could be sold, let out, and used to raise credit. Disputes over rubber involved smallholders, communities of rival users, would-be migrant planters, commercial plantations, and the colonial state, which feared rubber would make land unavailable for food crops

Does Land Abundance Explain African Institutions?

I show how abundant land and scarce labor shaped African institutions before colonial rule. I present a model in which exogenous suitability of the land for agriculture and endogenously evolving population determine the existence of land rights, slavery, and polygyny. I then use cross-sectional data on pre-colonial African societies to demonstrate that, consistent with the model, the existence of land rights, slavery, and polygyny occurred in those parts of Africa that were the most suitable for agriculture, and in which population density was greatest. Next, I use the model to explain institutions among the Egba of southwestern Nigeria from 1830 to 1914. While many Egba institutions were typical of a land-abundant environment, they sold land and had disputes over it. These exceptions were the result of a period of land scarcity when the Egba first arrived at Abeokuta and of heterogeneity in the quality of land.Africa, institutions, land rights, slavery, polygyny

Trees, Tenure and Conflict: Rubber in Colonial Benin

Tree crops have changed land tenure in Africa. Farmers have acquired more permanent, alienable rights, but have also faced disputes with competing claimants and the state. I show that the introduction of Para rubber had similar effects in the Benin region of colonial Nigeria. Farmers initially obtained land by traditional methods. Mature farmswere assets that could be sold, let out, and used to raise credit. Disputes over rubber involved smallholders, communities of rival users, would-be migrant farmers, commercial plantations, and the colonial state, which feared rubber would make land unavailable for food crops.Africa, Nigeria, tree crops, rubber, land tenure, land conflict

A Nonparametric Test of Strategic Behavior in the Cournot Model

We devise a nonparametric test of strategic behavior in a multiproduct Cournot oligopoly. It is assumed that firms have cost functions that do not change over the period of observation but that market demand can change in each period. Market prices and firm-specific production quantities are observed and it is assumed that neither the inverse demand functions nor the cost functions are known. The driving assumptions of the test are that market inverse demand functions are decreasing and differentiable at each period and that cost functions are increasing and convex for each firm. Under these very general conditions, we show that this test imposes strong restrictions on observed data. We apply the test to the crude oil market and find that strategic behavior is strongly rejected.Competitive behavior, Multiproduct Cournot oligopoly, Nonparametric test, Crude oil market, OPEC.

Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression

Ordinary linear and generalized linear regression models relate the mean of a response variable to a linear combination of covariate effects and, as a consequence, focus on average properties of the response. Analyzing childhood malnutrition in developing or transition countries based on such a regression model implies that the estimated effects describe the average nutritional status. However, it is of even larger interest to analyze quantiles of the response distribution such as the 5% or 10% quantile that relate to the risk of children for extreme malnutrition. In this paper, we analyze data on childhood malnutrition collected in the 2005/2006 India Demographic and Health Survey based on a semiparametric extension of quantile regression models where nonlinear effects are included in the model equation, leading to additive quantile regression. The variable selection and model choice problems associated with estimating an additive quantile regression model are addressed by a novel boosting approach. Based on this rather general class of statistical learning procedures for empirical risk minimization, we develop, evaluate and apply a boosting algorithm for quantile regression. Our proposal allows for data-driven determination of the amount of smoothness required for the nonlinear effects and combines model selection with an automatic variable selection property. The results of our empirical evaluation suggest that boosting is an appropriate tool for estimation in linear and additive quantile regression models and helps to identify yet unknown risk factors for childhood malnutrition

Boydbolt, a positive-latch, simple-release fastener

Fastener /Boydbolt/ has recently been designed to furnish positive lock and release characteristics that positively prevent accidental adverse functions of lock or release

Detection of risk factors for obesity in early childhood with quantile regression methods for longitudinal data

This article compares and discusses three different statistical methods for investigating risk factors for overweight and obesity in early childhood by means of the LISA study, a recent German birth cohort study with 3097 children. Since the definition of overweight and obesity is typically based on upper quantiles (90% and 97%) of the age specific body mass index (BMI) distribution, our aim was to model the influence of risk factors and age on these quantiles while as far as possible taking the longitudinal data structure into account. The following statistical regression models were chosen: additive mixed models, generalized additive models for location, scale and shape (GAMLSS), and distribution free quantile regression models. The methods were compared empirically by cross-validation and for the data at hand no model could be rated superior. Motivated by previous studies we explored whether there is an age-specific skewness of the BMI distribution. The investigated data does not suggest such an effect, even after adjusting for risk factors. Concerning risk factors, our results mainly confirm results obtained in previous studies. From a methodological point of view, we conclude that GAMLSS and distribution free quantile regression are promising approaches for longitudinal quantile regression, requiring, however, further extensions to fully account for longitudinal data structures

F98RS SGB No. 9 (Debate Team)

A BILL To appropriate one thousand two hundred eighty-six dollars and ninety-five cents ($1,286.95) to the Louisiana State University Debate Team to help defray the costs of attending the CEDA National Tournament