Time-series analysis provides a useful tool in the evaluation of public policy outputs. It is
shown that the general Box and Jenkins method, when extended to allow for multiple
interrupts, enables researchers simultaneously to examine changes in drift and level of a
series, and to select the best fit model for the series. As applied to urban renewal
allocations, results show significant changes in the level of the series, corresponding to
changes in party control of the executive. No support is given to the "incrementalism"
hypotheses, as no significant changes in drift are found.
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