This chapter uses the NCAER panel dataset for 1970/71-1981/82 to longitudinally track 3139 households in rural India to try to provide an understanding of ... S Bhide,A. Mehta,A Shepherd 被引量: 43发表: 2006年 Understanding the Success Factors of Sustainable Supply Chain Management: Empirica...
The complete dataset, as well as the digital map is available to the public on the Ordnance Survey website. Advertisement
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How accurate is the data? The dataset is dynamic and broadband roll-outs are on-going, so the data changes all the time. Over the years we have refined the accuracy and across the UK we believe the tolerance is +/- 0.1%; back in early 2016 this range was as wide as +/- 1%. It...
The lowest prices tend to occur during periods of low demand such as overnight, weekends and public holidays. The potential proliferation of various power-to-heat technologies is one demand side measure that could reduce the occurrence of negative pricing [197]. UTES may also benefit from long...
but omitting a whole panel unit because some of the data in the panel are missing will typically lead to a very large reduction in the size of the working dataset. For example, it is very rare for international datasets on macroeconomic or other data to be complete, so that casewise exclu...
https://www.nomisweb.co.uk/query/select/getdatasetbytheme.asp?opt=3&th Disposable income: Gross Disposable Household Income (GDHI) per head at current prices - 2013 (in GBP)" Importance to QOL: High importance Best value (highest or lowest): High value ...
Furthermore, the Cloglog model introduces a dispersion parameter that accommodates over-dispersion in the dataset.9(2)Prob(Yi=1|Zi∗)=e(−e[α+β∗Zi∗]) The discrete choice econometric methods, specifically the logit and complementary log-log used in this paper are useful in ...
The Department for Transport publishes estimates of leisure time valuations in its TAG data book.34 Taking the most recently available dataset (November 2021), we use an in-house model to convert these into 2022 prices. Combining these estimates with the hours saved, we compute the monetary ...
A number of control variables are available in the dataset. I performed initial regression analyses using all of these that could conceivably correlate with expenditure on energy, then used stepwise regression to eliminate those with high multicollinearity. For example, the age of the youngest househol...