2007
DOI: 10.1007/s00362-007-0061-8
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Regression modelling of the flows in an input–output table with accounting constraints

Abstract: Input–output table, Gravity model, Non-linear constraints, Restricted estimators, Social accounting matrix, Tourist flows,

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Cited by 5 publications
(5 citation statements)
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“…For estimation one may apply an iterative, constrained, projection based estimation procedure similar to that put forward in Falocci et al (2009). For cross-section gravity models it is described in detail in Pfaffermayr (2020) and for panels in Technical "Appendix 1.2".…”
Section: The Constrained Panel Ppml Estimatormentioning
confidence: 99%
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“…For estimation one may apply an iterative, constrained, projection based estimation procedure similar to that put forward in Falocci et al (2009). For cross-section gravity models it is described in detail in Pfaffermayr (2020) and for panels in Technical "Appendix 1.2".…”
Section: The Constrained Panel Ppml Estimatormentioning
confidence: 99%
“…(̂ ,̂ ) and ̂ = (D � VM (̂ )D ) −1 . Following Falocci et al (2009) and Pfaffermayr (2020) iteration step r + 1 uses the linearization of the score around ̂r . The involved remainder terms are denoted by a r , b r and c r , respectively.…”
mentioning
confidence: 99%
“…Thus the constrained PPML estimator uses the projection matrix Constrained PPML estimation can be designed as an iterative projection based estimation procedure similar to Falocci et al (2009) 10 that solves the 10 These authors develop a constrained iterative maximum likelihood to estimate a log-linear constrained ML-maximization problem (12) and 13) iteratively. Assuming iteration r yields the (invertible) Hessian and the score as…”
Section: Constrained Ppml Estimationmentioning
confidence: 99%
“…For what concerns the first theme, before the end of the previous century, the main tools to perform policy impact studies were regional input‐output tables, by and large referring to localized projects. Studied extensively by Costa () and Falocci, Paniccià, and Stanghellini (), non‐survey tables for single regions started to be built, the first by Camagni () for Sardinia and the others by ISTAT some years later. IRPET, the research Institute of the Tuscany Region started to compile comprehensive multiregional I‐O tables in 1995 (Casini Benvenuti, Martellato, & Raffaelli, ), stimulating the use of the tool for many applications (impacts of large events, of real estate or industrial projects, of closures of plants).…”
Section: Contributions To Regional and Urban Policiesmentioning
confidence: 99%