{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T19:09:02Z","timestamp":1777662542458,"version":"3.51.4"},"reference-count":0,"publisher":"Cambridge University Press (CUP)","issue":"1","license":[{"start":{"date-parts":[[2000,2,1]],"date-time":"2000-02-01T00:00:00Z","timestamp":949363200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Econom. Theory"],"published-print":{"date-parts":[[2000,2]]},"abstract":"<jats:p>The accessibility of high-performance computing power \nhas always influenced theoretical and applied econometrics. \nGouri\u00e9roux and Monfort begin their recent offering, \n<jats:italic>Simulation-Based Econometric Methods<\/jats:italic>, with a stylized \nthree-stage classification of the history of statistical \neconometrics. In the first stage, lasting through the 1960's, \nmodels and estimation methods were designed to produce \nclosed-form expressions for the estimators. This spurred \nthorough investigation of the standard linear model, linear \nsimultaneous equations with the associated instrumental \nvariable techniques, and maximum likelihood estimation \nwithin the exponential family. During the 1970's and \n1980's the development of powerful numerical optimization \nroutines led to the exploration of procedures without closed-form \nsolutions for the estimators. During this period the general \ntheory of nonlinear statistical inference was developed, \nand nonlinear micro models such as limited dependent variable \nmodels and nonlinear time series models, e.g., ARCH, were \nexplored. The associated estimation principles included \nmaximum likelihood (beyond the exponential family), pseudo-maximum \nlikelihood, nonlinear least squares, and generalized method \nof moments. Finally, the third stage considers problems \nwithout a tractable analytic criterion function. Such problems \nalmost invariably arise from the need to evaluate high-dimensional \nintegrals. The idea is to circumvent the associated numerical \nproblems by a simulation-based approach. The main requirement \nis therefore that the model may be simulated given the \nparameters and the exogenous variables. The approach delivers \nsimulated counterparts to standard estimation procedures \nand has inspired the development of entirely new procedures \nbased on the principle of indirect inference.<\/jats:p>","DOI":"10.1017\/s0266466600001080","type":"journal-article","created":{"date-parts":[[2002,7,27]],"date-time":"2002-07-27T09:45:46Z","timestamp":1027763146000},"page":"131-138","source":"Crossref","is-referenced-by-count":2,"title":["SIMULATION-BASED ECONOMETRIC METHODS"],"prefix":"10.1017","volume":"16","author":[{"given":"Torben G.","family":"Andersen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2000,2,1]]},"container-title":["Econometric Theory"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0266466600001080","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,3]],"date-time":"2019-04-03T16:27:33Z","timestamp":1554308853000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0266466600001080\/type\/journal_article"}},"subtitle":["by Christian Gouri\u00e9roux and Alain Monfort, \nOxford University Press, 1996"],"short-title":[],"issued":{"date-parts":[[2000,2]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2000,2]]}},"alternative-id":["S0266466600001080"],"URL":"https:\/\/doi.org\/10.1017\/s0266466600001080","relation":{},"ISSN":["0266-4666","1469-4360"],"issn-type":[{"value":"0266-4666","type":"print"},{"value":"1469-4360","type":"electronic"}],"subject":[],"published":{"date-parts":[[2000,2]]}}}