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Keane and Wolpin (<jats:italic>Review of Economics and Statistics<\/jats:italic>, 1994, <jats:italic>76<\/jats:italic>(4), 648\u2013672) propose an interpolation method that ameliorates the computational burden but introduces approximation error. I describe their approach in detail, successfully recompute their original quality diagnostics, and provide some additional insights that underscore the trade\u2010off between computation time and the accuracy of estimation results.<\/jats:p>","DOI":"10.1002\/jae.2648","type":"journal-article","created":{"date-parts":[[2018,8,23]],"date-time":"2018-08-23T10:00:02Z","timestamp":1535018402000},"page":"149-154","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["The approximate solution of finite\u2010horizon discrete\u2010choice dynamic programming models"],"prefix":"10.1002","volume":"34","author":[{"given":"Philipp","family":"Eisenhauer","sequence":"first","affiliation":[{"name":"Institute for Applied Microeconomics University of Bonn  Bonn Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2018,8,23]]},"reference":[{"key":"e_1_2_7_2_1","volume-title":"Dynamic programming","author":"Bellman R. 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