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Research of the part house of heavy symmetric most sensible (ISBN 9173739944)

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A strictly linear fit to our data produced parameters which were statistically significant at the one per cent level; at this level, there is only one chance in 100 that the true value of the slope is zero. 3). Moreover, an examination of residuals 14 revealed systematic overestimation by the linear fit at low and high levels of Y and underestimation in mid-range, suggesting that the H data were distributed as an inverted U-shaped function of Y rather than as a positively sloped straight line. The residuals generated by the non-linear function, however, showed no systematic relationship to Y.

20. , for example, indirect subsidy to home-owners through favorable tax treatment accounts for several times as much subsidy as aid directly given through governmental housing programs. See H. Aaron, Shelter and Subsidies: Who Benefits from Federal Housing Policies? (Washington: Brookings Institution, 1972). 21. , see C. Swan, 'Housing Subsidies and Housing Starts', American Real Estate and Urban Economics Journal, I (fall 1973), pp. 119-40. Determinants of Housing Investment 43 22. Published in Yearbook of National Accounts Statistics (New York: United Nations, various years).

Residuals are the difference between actual observed values of the data and values estimated from the regression. 15. Whether the separate functions for the separate analysis periods are indeed significantly different from each other is considered in the section on 'Structural Stability' (p. ). 16. This means that there is a 90 per cent chance that the statistical differences between the 42 The Housing of Nations regression coefficients of (L\p) 2 in the earlier and later equations, and the coefficients of u2 between equations, are not zero.

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