Empirical analysis of the price of vacant lots sold in three Toronto suburban municipalities during the 1977-86 period shows that development impact fees directly increased lot prices by approximately 1 .2 times the size of the fee . The extent of the increase was related to city growth rates. In general, the faster the rate of growth the lower was the price effect of development impact fees . The effects of growth, however, were not consistent across the three municipalities as one municipality appeared to be lowering its fees in response to reductions in growth rates . The policy environment within which fees are implemented and the way fees are adjusted appear to influence their effect on lot prices . The estimated model also suggests that increases in expected future construction costs reduce current lot prices . General increases in the consumers' shelter costs tend to inflate the price of vacant lots. The expectation of future increases in the cost of land development, whether it is due to increases in material prices, wages, development approval processes, growth controls or impact fees, tends to reduce current lot prices . The indirect price effects of introducing and expanding development impact fees tend to counter their direct effects by reducing the size of urban growth premiums .
The General ModelThis study examines the effect of development impact fees on the price of vacant building lots in three suburban municipalities of Toronto (Figure 1) . The article compares the price of new vacant lots across Mississauga, Brampton and Dickering and identifies the differences that can be attributed to differences in development impact fees . The regression analysis shows how changes in development impact fees affect lot prices over time . The analysis uses a systematic sample describing 10 per cent of the vacant single-family residential lots sold in the three municipalities between 1977 and 1986 . The empirical approach is based, in part, on suggestions by Hodge and Cameron (1989). generally start by considering a growing city in which housing prices rise continuously as a result of exogenous forces . Land prices are set by the landowners' timing decisions which, in turn, are influenced by city growth rates, construction costs and interest rates . Models describing the optimal development time have been developed by Shoup (