ON THE PARAMETERIZATION OF TECHNIQUES FOR REPRESENTING REGIONAL ECONOMIC STRUCTURES

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Estimating Regional Input Coefficients and Multipliers: The Use of FLQ is Not a Gamble (2016, methodology): “A rather different route to the estimation of δ has been proposed by BONFIGLIO (2009), who derived the following regression equation: d̂ = 0.994PROP − 2.819RSRP (29) where PROP is the propensity to interregional trade and RSRP is the relative size of regional purchases.”
Entropy-based Chinese city-level MRIO table framework (2021, result): “The value is often suggested as 0.3 (Flegg et al., 2015), while other studies suggest a lower or higher value than 0.3 (Bonfiglio, 2009; Kowalewksi, 2015).”
Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of Córdoba, Argentina (2016, methodology): “The first method was put forward by Bonfiglio (2009), who derived the following regression equation using simulated data from a Monte Carlo study:”