Distress rentals and the land rental market as a safety net: contract choice evidence from Tigray,Ethiopia

Rural households in the semiarid Northern Ethiopian highlands are net buyers of food. Crop failure due to erratic and unpredictable rainfall occurs frequently and leads to food shortages and income shocks. The renting out of land may be one of the coping responses of households exposed to shocks. We developed a theoretical household model for poor landlord households capturing their contract choice response to downside production shocks. We tested econometrically whether contract choice may depend on poverty, capital constraints, production risk and random shocks. The multinomial logit model estimates show that poor households experiencing random shocks are more likely to choose fixed‐rent contracts as a distress response to shocks, suggesting that fixed‐rent contracts may be used to meet immediate needs, but at the expense of future incomes. We also found that fixed‐rent contracts are preferred when ex ante production risk is low, while sharecropping is more likely where production risk is high. Finally, we found an indication that the choice of a fixed‐rent contract as a coping response to shocks comes as a last resort after all other means of coping are exhausted.     

Licensing and innovation with imperfect contract enforcement

Licensing promotes technology transfer and innovation, but enforcement of licensing contracts is often imperfect. We model contract enforcement as a game with perfect information but probabilistic enforcement and explore the implications of weak enforcement on the design of licensing contracts, the conduct of firms, and market performance. An upstream firm develops a technology that it can license to downstream firms using a fixed fee and a per‐unit royalty. Strictly positive per‐unit royalties maximize the licensor's profit if competition among licensees limits joint profits. With imperfect enforcement, the licensor lowers variable royalties to avoid cheating. Although imperfect contract enforcement reduces the profits of the licensor, weak enforcement lowers prices, increases downstream innovation, and in some circumstances can increase total economic welfare.     

Impacts of Low-Cost Land Certification on Investment and Productivity

New land reforms are again high on the policy agenda and low-cost, propoor reforms are being tested in poor countries. This article assesses the investment and productivity impacts of the recent low-cost land certification implemented in the Tigray region of Ethiopia, using a unique household and farm-plot-level panel data set, with data from before and up to eight years after the reform. Alternative econometric methods were used to test and control for endogeneity of certification and for unobserved household heterogeneity. Significant positive impacts were found, including effects on the maintenance of soil conservation structures, investment in trees, and land productivity.     

Formalisation of land rights: Some empirical evidence from Mali, Niger and South Africa

In this paper, we re-interpret three cases of research previously carried out in Mali, Niger and South Africa in light of the recent debate about formalisation of land rights that has emerged since the publication of Hernando de Soto's ‘Mystery of Capital’. The Malian case shows that lack of broad access to formalisation processes in high-pressure areas may play into the hands of those with power, information, and resources. The case also demonstrates that timing of formalisation efforts in urban areas characterised by rapid expansion is crucial in terms of distributive outcomes. The Nigerien case demonstrates how impending formalisation led to a scramble for land and increased conflicts in a context of institutional competition and limited administrative capacity. The South African case shows that the very process of surveying and registering rights may also change the rights themselves. Formalisation procedures may also amplify the tension between individual and communal rights, and boost privatisation.     

ASYMPTOTIC BEHAVIOR OF DISTRIBUTION DENSITIES IN MODELS WITH STOCHASTIC VOLATILITY. I

We study the asymptotic behavior of distribution densities arising in stock price models with stochastic volatility. The main objects of our interest in the present paper are the density of time averages of a geometric Brownian motion and the density of the stock price process in the Hull–White model. We find explicit formulas for leading terms in asymptotic expansions of these densities and give error estimates. As an application of our results, sharp asymptotic formulas for the price of an Asian option are obtained.     

A nonlinear simultaneous probit-model for the investigation of decision-making processes: modelling the process of setting up a family in partnerships

This article proposes an approach for modelling the interactive influences of two (or more) actors in decision-making processes. We use a nonlinear simultaneous probit-model and show how the problem of identification for estimating the relative effects of the actors can be solved. The formal model will be applied to examine the decision-making process for setting up a family in partnerships. We model a trivariate distribution consisting of the wifes’ desire to have a child or disposition toward the generative decision, the husbands’ disposition and the joint generative decision. We show how the parameter can be used to assess the relative importance of both partners’ dispositions for the decision, the reciprocal influence of both partners’ dispositions within the interaction process, and the relevance of both partners’ biographical contexts in relation to their own disposition as well as to that of the partner. The analysis is based on a three-stage estimation strategy which is implemented in MECOSA 3 and we use data from the Bamberger married couple panel.     

A Regime‐Switching Approach to Modeling Rental Prices of U.K. Real Estate Sectors

This article uses regime‐switching models of the threshold type to analyze the adjustment process of rental prices for three U.K. commercial real estate sectors over the period 1974–2008. The nonlinear models outperform their linear counterparts in in‐sample fit. Their out‐of‐sample forecasting ability is better whenever the corresponding linear models contain a significant amount of neglected nonlinearity. Regime switches are triggered when the growth rates of rental price exceed certain threshold levels. For the industrial and retail sectors such regime switches occur in situations of strong excess demand, for the office sector they occur when there is strong excess supply.     

Analysis of space–time variability in agriculture and the environment with geostatistics

This paper gives an overview of space–time variability in agriculture and the environment. Analysis is based upon geostatistics in the framework of linear regression theory. Common procedures for spatial data are extended towards the space–time domain. Several practical studies are presented. The first study describes the use of REML to estimate semi-variogram models within the presence of trends. The second study describes the use of probability maps in an environmental statistical study. The third study describes the use of geostatistics in modelling the development of a disease in cabbage. Studies are evaluated using quadratic scoring rules.