JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. University of Wisconsin Press and The Board of Regents of the University of WisconsinSystem are collaborating with JSTOR to digitize, preserve and extend access to The Journal of Human Resources. ABSTRACT Common preference models offamily behavior imply income pooling, a restriction on family demand functions such that only the sum of husband's income and wife's income affects the allocation of goods and time. Testing the pooling hypothesis is difficult because most family income sources are not exogenous to the allocations being analyzed.In this paper, we present an alternative test based on a "natural experiment"-a policy change in the United Kingdom that transferred a substantial child allowance to wives in the late 1970s. Using Family Expenditure Survey data, we find strong evidence that a shift toward greater expenditures on women's clothing and children's clothing relative to men's clothing coincided with this income redistribution.

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Empirically estimated flexible functional forms frequently fail to satisfY the appropriate theoretical curvature conditions. Lau and Gallant and Golub have worked out methods for imposing the appropriate curvature conditions locally, but those local techniques frequently fail to yield satisfactory results. We develop two methods for imposing curvature conditions globally in the context of cost function estimation. The first method adopts Lau's technique to a generalization of a functional form first proposed by McFadden. Using this Generalized McFadden functional form, it turns out that imposing the appropriate curvature conditions at one data point imposes the conditions globally. The second method adopts a technique used by McFadden and Barnett, which is based on the fact that a non-negative sum of concave functions will be concave. Our various suggested techniques are illustrated using the U.S. Manufacturing data utilized qy Berndt and Khaled.

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