CORRECTING FOR SPATIAL EFFECTS IN LIMITED DEPENDENT VARIABLE REGRESSION: ASSESSING THE VALUE OF "AD-HOC" TECHNIQUES

A common test for spatial dependence in regression analysis with continuous dependent variables is the Moran's I. For limited dependent variable models, the standard definition of a residual breaks down because yi is qualitative. Efforts to correct for potential spatial effects in limited dependent variable models have relied on ad-hoc methods such as including a spatial lag variable or using a regular sample that omits neighboring observations. Kelejian and Prucha have recently developed a version of Moran's I for limited dependent variable models. We present the statistic in a more accessible way and use it to test the value of previously-used ad-hoc techniques with a specific data set. Keywords: Morans I, Spatial Autocorrelation, Limited Dependent Variable Models, Land-Use Change, Geographical Information Systems (GIS),Moran's I, Spatial Autocorrelation, Limited Dependent Variable Models, Land-Use Change, Geographical Information Systems (GIS), Research Methods/ Statistical Methods,

Modeling Deforestation and Land Use Change: Sparse Data Environments

Land use change in developing countries is of great interest to policymakers and researchers from many backgrounds. Concerns about consequences of deforestation for global climate change and biodiversity have received the most publicity, but loss of wetlands, declining land productivity, and watershed management are also problems facing developing countries. In developing countries, analysis is especially constrained by lack of data. This paper reviews modeling approaches for data-constrained environments that involve methods such as neural nets and dynamic programming and research results that link individual household survey data with satellite images using geographic positioning systems.Land Economics/Use, Q15, Q23, R14,

Assessing the Robustness of Predictions in Spatially Explicit Models of Land Use

We propose an information-theoretic approach to assess the performance of a discrete choice model used to analyze land use and land use change. We show that our disaggregated measure can be used to compare robustness of predictions across land use categories and across models. Furthermore, a proper reformulation of the problem shows that a disaggregated (observation by observation) log-likelihood lends itself to an information theoretic interpretation, which allows comparisons performance across models.Land Economics/Use,

ADOPTION OF CARBON-SEQUESTERING PRACTICES IN DEVELOPING COUNTRIES AND RISK-AVERSE FARMERS

Environmental Economics and Policy, Resource /Energy Economics and Policy, Risk and Uncertainty,

Climate and social studies services: Experiences from country engagements and lessons learned

A framework, created by a team of researchers at the International Food Policy Research Institute, supports the integrated analysis of climate change, gender, youth and nutrition

Climate change, gender, youth and nutrition situation analysis - Ethiopia

Provides a situational analysis for climate change, gender, youth, and nutrition in Ethiopia

Climate change, gender, youth and nutrition situation analysis - Uganda

Situational analyais of climate change, gender, youth and nutrition in Uganda

Climate change, gender, youth and nutrition situation analysis - Ghana

Situation analysis of climate change, gender, youth and nutrition in Ghana

Real-time aptapcr: a novel approach exploiting nucleic acid aptamers for ultrasensitive detection of analytes for clinical diagnostic and in food analysis

The thesis aimed to develop and characterize a novel detection approach, which we termed aptaPCR exploiting nucleic acid aptamers as combined recognition and reporter biocomponents for the ultrasensitive detection of analytes. Nucleic acid aptamers are synthetic ligands selected from vast combinatorial libraries through a process referred to as SELEX – Systematic Evolution of Ligand By Exponential Enrichment. As compared to other natural and synthetic receptor, aptamers possess unique chemical and biochemical characteristics, such as: a well known chemistry, remarkable stability, an ability to be selected against virtually any target even in non-physiological condition