We propose a spatial disaggregation tool to help researchers make the best use of aggregated data in studies of land use. The proposed approach uses parcel-level agricultural data in conjunction with biophysical processes to break down agricultural regional data to the pixel level. It is a two-step procedure. First, we estimate a landuse model using a multinomial logit model. Second, we disaggr...

Multilevel regression and poststratification (MrP) is a powerful tool for estimating local public opinion from national survey data. However, it has seen little use outside of the United States, owing to its rather stringent data requirements. In this paper, I prove that an extension of MrP using synthetic poststratification (MrsP) can overcome these limitations without introducing error. I the...

The paper examines career choice at age 16 in Northern Ireland using micro data for young people completing compulsory education in 1993. Explanatory variables include resourcerelated school characteristics, ethos-related characteristics and peer-group factors. The results suggest resources, ethos and peer group effects all play a significant role in career choice at age 16. Some of these facto...

This study estimates a set of unconditional own-price and expenditure elasticities across time for 49 processed food categories using scanner data and the FAST multistage demand system with fixed effects across time. Estimated own-price elasticities are generally much larger, in absolute terms, than previous estimates, while our expenditure elasticities are generally much lower. The use of disa...

In recent years, comprehensive geographic data sets of metropolitan areas and individual-level, georeferenced data are becoming more available to social scientists. At the same time, tools for performing spatial analysis in a GIS environment have also become more available. These developments provide many new opportunities for the analysis and theoretical understanding of disaggregate human spa...

The deficiency and uneven distribution of rainfall during the 2009 monsoon has brought several issues to the fore: rising water demand from various sectors, regional effects of a drought and the failure of the India Meteorological Department to provide credible forecasts at the disaggregate level. A multi-pronged strategy to permanently deal with monsoon deficiency requires exploring newer drou...

This paper proposes a new algorithm for finding disaggregate user equilibrium on a congested network, in which a driver is assumed to be an agent who learns from driving experiences to get maximal payoffs under the condition of incomplete travel information. Day-to-day route choice behaviours of each driver are formulated as a kind of repeated game with learning, and a simple adoptive procedure...

Smart electricity meters record the aggregate consumption of an entire building. However, appliance-level information is more useful than aggregate data for a variety of purposes including energy management and load forecasting. Disaggregation aims to decompose an aggregate signal into appliance-by-appliance information. Existing disaggregation systems tend to perform well for single-state appl...