<p style='text-indent:20px;'>We study behavioral change - as a transition between coexisting attractors - in the context of a stochastic, non-linear consumption model with interdependent agents. Relying on the indirect approach to the analysis of a stochastic dynamic system, and employing a mix of analytical, numerical and graphical techniques, we identify conditions under which such transitions are likely to occur. The stochastic analysis depends crucially on the stochastic sensitivity

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... technique as it can be applied to the stochastic analoga of closed invariant curves [<xref ref-type="bibr" rid="b14">14</xref>], [<xref ref-type="bibr" rid="b1">1</xref>]. We find that in a moderate noise environment increased peer influence actually reduces the complexity of observable long-run consumer behavior.</p>