{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T04:22:56Z","timestamp":1696998176200},"reference-count":39,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2001,12,13]],"date-time":"2001-12-13T00:00:00Z","timestamp":1008201600000},"content-version":"vor","delay-in-days":42,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J of Applied Econometrics"],"published-print":{"date-parts":[[2001,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Applied econometricians often fail to impose economic regularity constraints in the exact form economic theory prescribes. We show how the Singular Value Decomposition (SVD) Theorem and Markov Chain Monte Carlo (MCMC) methods can be used to rigorously impose time\u2010 and firm\u2010varying equality and inequality constraints. To illustrate the technique we estimate a system of translog input demand functions subject to all the constraints implied by economic theory, including observation\u2010varying symmetry and concavity constraints. Results are presented in the form of characteristics of the estimated posterior distributions of functions of the parameters. Copyright \u00a9 2001 John Wiley &amp; Sons, Ltd.<\/jats:p>","DOI":"10.1002\/jae.639","type":"journal-article","created":{"date-parts":[[2002,8,25]],"date-time":"2002-08-25T16:25:38Z","timestamp":1030292738000},"page":"709-726","source":"Crossref","is-referenced-by-count":9,"title":["Estimating economic relationships subject to firm\u2010 and time\u2010varying equality and inequality constraints"],"prefix":"10.1002","volume":"16","author":[{"given":"Christopher J.","family":"O'Donnell","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alicia N.","family":"Rambaldi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Howard 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