Keith Vodden Dr. Douglas Smith - Transports Canada

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Appendix C—The Value of Human Consequences using Discounted Future Earnings Eh s (n) g r = proportion of the population of sex s and age n that are keeping house = rate of increase of labour productivity (variable, set at 1% to yield the summary data presented below) = is the real discount rate (variable, set at 4% to yield the summary data presented below) PV morbidity = 99 ∑ P i y,s(n) D(n) [Y s(n) Es(n) + Y h s(n) E h s(n)] n=y 365 x (l+g) n-y (l+r)n-y where: PV morbidity = presented discounted value of earnings losses due to injury per person D(n) Pi y,s (n) n Ys(n) Es(n) Yh s (n) Eh s (n) = days restricted activity during the year of a person currently age n = probability that a person of sex s with injury i acquired at age y will survive to age n = future age of the individual (years of age over which the individual is deemed to have lost earnings and household production) = mean annual earnings of an employed person of sex s and age n including value of fringe benefits = proportion of the population of sex s and age n that are employed in the labour market = mean annual imputed value of homemaking services of a person of sex s and age n = proportion of the population of sex s and age n that are keeping house TNS Canadian Facts, Social and Policy Research 169
Analysis and Estimation of the Social Cost of Motor Vehicle Collisions in Ontario g y r = rate of increase of labour productivity (variable, set at 1% to yield the summary data presented below) = age at which the individual was injured = is the real discount rate (variable, set at 4% to yield the summary data presented below) The Excel spreadsheet is used to apply the above calculations to compute discounted lifetime earnings and household production losses for deaths and permanently disabling injuries. (Note: household production losses are calculated using their relationships to earnings in 1993, as described below under “Input Data”; also, the rate of increase of labour productivity does not apply to the calculation of lost household production.) C. SHORT-TERM PRODUCTIVITY LOSS Short-term productivity loss includes both wage loss and household production loss from injuries that did not lead to death or permanent disability. Average daily earnings plus fringe benefits for workers and non-workers is estimated as hours worked per day worked times hourly wage times labour force participation times participants employed times 1.341 (to add fringe benefits, as above). Household production was computed from the 1993 data in a manner parallel to that described above for the lifetime calculations. D. INPUT DATA The input data used by the spreadsheet consist of: • Counts of fatalities and of major, minor, and minimal injuries, by sex and single years of age, for 2004. • Annual employment income per person in Ontario, calculated as P * L * E * Y where: P = the population of Ontario, tabulated at zero years, 1-4, 5-9, fiveyear groups to 84, and 85 and over, from Labour Force Historical Review, 2005, Statistics <strong>Canada</strong> 71F0004XCB. L = the Ontario percentage labour force participation, from Labour Force Historical Review, 2005, Statistics <strong>Canada</strong> 71F0004XCB. 170 TNS Canadian Facts, Social and Policy Research
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TP 14800F Analysis and Estimation o
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APPENDIX A: DETAIL ON CALCULATIONS
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• Large truck. Collisions involvi
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ABBREVIATIONS CAC Criteria Air Cont
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Analysis and Estimation of the Soci
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III ONTARIO MODEL This chapter desc
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Ontario Model redistribution. Simil
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Ontario Model • Pedestrian Injure
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Ontario Model Based on this analysi
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Ontario Model Step 3 Allocate addit
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Ontario Model damaged based on this
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Ontario Model 1. Number of total an
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Ontario Model 2.99; specialist—1.
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Ontario Model 5. Tow trucks Tow tru
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Ontario Model Exhibit III-5 Core WT
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Ontario Model We combine this value
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Ontario Model 6. Ambulance The Onta
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Ontario Model individuals who self-
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Ontario Model threatening injury, p
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Ontario Model d) Additional Polluti
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Ontario Model VARIABLE DATA LOST TI
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Ontario Model We have no data to gu
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V ONTARIO SUB-MODELS AND THEIR SOCI
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Ontario Sub-Models and Their Social
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Appendix A Detail on Calculations o
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Page 200 and 201: APPENDIX E: REFERENCES Audrey, J. a
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Keith Vodden Dr. Douglas Smith - Transports Canada

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