We make a high-precision Monte Carlo study of two- and three-dimensional self-avoiding walks (SAWs) of length up to 80000 steps, using the pivot algorithm and the Karp-Luby algorithm. We study the critical exponents and as well as several universal amplitude ratios; in particular, we make an extremely sensitive test of the hyperscaling relation . In two dimensions, we confirm the predicted exponent and the hyperscaling relation; we estimate the universal ratios , $<R_m^2> / <R_e^2> = 0.43961 \pm 0.00034\Psi^* = 0.66296 \pm 0.00043$ (68% confidence limits). In three dimensions, we estimate with a correction-to-scaling exponent (subjective 68% confidence limits). This value for agrees excellently with the field-theoretic renormalization-group prediction, but there is some discrepancy for . Earlier Monte Carlo estimates of , which were $\approx! 0.592$, are now seen to be biased by corrections to scaling. We estimate the universal ratios and $\Psi^* = 0.2471 \pm 0.0003\Psi^* > 0\Psi^*$ is from above, contrary to the prediction of the two-parameter renormalization-group theory. We critically reexamine this theory, and explain where the error lies.

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