{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T02:36:34Z","timestamp":1773196594308,"version":"3.50.1"},"reference-count":20,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2018,1,11]],"date-time":"2018-01-11T00:00:00Z","timestamp":1515628800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J of Applied Econometrics"],"published-print":{"date-parts":[[2018,4]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p>This paper proposes a criterion for simultaneous generalized method of moments model and moment selection: the generalized focused information criterion (GFIC). Rather than attempting to identify the \u201ctrue\u201d specification, the GFIC chooses from a set of potentially misspecified moment conditions and parameter restrictions to minimize the mean squared error (MSE) of a user\u2010specified target parameter. The intent of the GFIC is to formalize a situation common in applied practice. An applied researcher begins with a set of fairly weak \u201cbaseline\u201d assumptions, assumed to be correct, and must decide whether to impose any of a number of stronger, more controversial \u201csuspect\u201d assumptions that yield parameter restrictions, additional moment conditions, or both. Provided that the baseline assumptions identify the model, we show how to construct an asymptotically unbiased estimator of the asymptotic MSE to select over these suspect assumptions: the GFIC. We go on to provide results for postselection inference and model averaging that can be applied both to the GFIC and various alternative selection criteria. To illustrate how our criterion can be used in practice, we specialize the GFIC to the problem of selecting over exogeneity assumptions and lag lengths in a dynamic panel model, and show that it performs well in simulations. We conclude by applying the GFIC to a dynamic panel data model for the price elasticity of cigarette demand.<\/jats:p>","DOI":"10.1002\/jae.2614","type":"journal-article","created":{"date-parts":[[2018,1,11]],"date-time":"2018-01-11T09:59:18Z","timestamp":1515664758000},"page":"378-397","source":"Crossref","is-referenced-by-count":4,"title":["A generalized focused information criterion for GMM"],"prefix":"10.1002","volume":"33","author":[{"given":"Minsu","family":"Chang","sequence":"first","affiliation":[{"name":"Economics Department University of Pennsylvania  Philadelphia PA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francis J.","family":"DiTraglia","sequence":"additional","affiliation":[{"name":"Economics Department University of Pennsylvania  Philadelphia PA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2018,1,11]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4076(82)90095-1"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0304-4076(00)00077-4"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.2307\/2297968"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1162\/003465300558551"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0266466608090099"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1541-0420.2006.00567.x"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214503000000819"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0266466608080201"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2016.07.006"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1081\/ETC-120024752"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2015.09.003"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0266466603196028"},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2006.05.007"},{"key":"e_1_2_11_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jspi.2008.03.011"},{"key":"e_1_2_11_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2007.05.017"},{"key":"e_1_2_11_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1468-0262.2004.00482.x"},{"key":"e_1_2_11_18_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1468-0084.2008.00542.x"},{"key":"e_1_2_11_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2004.08.009"},{"key":"e_1_2_11_20_1","doi-asserted-by":"publisher","DOI":"10.2307\/2951576"},{"key":"e_1_2_11_21_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/92.4.937"}],"container-title":["Journal of Applied Econometrics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fjae.2614","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jae.2614","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,10]],"date-time":"2023-09-10T11:45:33Z","timestamp":1694346333000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/jae.2614"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,11]]},"references-count":20,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2018,4]]}},"alternative-id":["10.1002\/jae.2614"],"URL":"https:\/\/doi.org\/10.1002\/jae.2614","archive":["Portico"],"relation":{},"ISSN":["0883-7252","1099-1255"],"issn-type":[{"value":"0883-7252","type":"print"},{"value":"1099-1255","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1,11]]}}}