New Developments in the Use of Location Quotients to Estimate Regional Input–Output Coefficients and Multipliers
By Timo Tohmo. 2004
137 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Political Science and International Relations, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/5a778bd759215bd78607b14ef0610f1a1a71f982
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Citations in the corpus
- Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of Córdoba, Argentina (2016, unknown): “This evidence includes, for instance, case studies of Scotland (Flegg andWebber, 2000), Finland (Tohmo, 2004; Flegg and Tohmo, 2013a, 2014) andGermany (Kowalewski, 2015).”
- Estimating Regional Input Coefficients and Multipliers: The Use of FLQ is Not a Gamble (2016, unknown): “Finally, U is Theil’s well-known inequality coefficient, which has the merit that it encompasses both bias and variance (THEIL et al., 1966).”
- The efficiency of the cross-entropy method when estimating the technical coefficients of input–output tables (2020, background): “…and weaknesses of LQmethods, including Bonfiglio and Chelli (2008), Flegg and Tohmo (2013), Harrigan, McGilvray, andMcNicoll (1980), Lamonica and Chelli (2018), Lehtonen and Tykkyläinen (2014), Kowalewksi (2015), Morrissey (2016), Oosterhaven and Cardeñoso (2011), Round (1978), and Tohmo (2004).”