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For the case of a linear parametric model, the test statistic is shown to be asymptotically standard normal under the null, while rejecting with probability going to one if the linear model is misspecified. A small simulation study suggests that the test has adequate finite sample properties, but one must guard against over fitting the nonparametric alternative.<\/jats:p>","DOI":"10.1017\/s0266466600013165","type":"journal-article","created":{"date-parts":[[2010,10,18]],"date-time":"2010-10-18T05:15:30Z","timestamp":1287378930000},"page":"452-475","source":"Crossref","is-referenced-by-count":86,"title":["A Test for Functional Form Against Nonparametric Alternatives"],"prefix":"10.1017","volume":"8","author":[{"given":"Jeffrey M.","family":"Wooldridge","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2010,10,18]]},"reference":[{"key":"S0266466600013165_ref015","unstructured":"15. 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