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Discussion of: A model of bank price and nonprice competition with endogenous expected loan losses. Alessandra Ferrari University of Reading. Main strengths. Very interesting paper, unique dataset; Product differentiation, C.V. analysis (NEIO) with endogenous risk;
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Discussion of:A model of bank price and nonprice competition with endogenous expected loan losses Alessandra Ferrari University of Reading
Main strengths • Very interesting paper, unique dataset; • Product differentiation, C.V. analysis (NEIO) with endogenous risk; • Neat modelling of risk: it affects L and it is endogenous: banks choose rL, rD, γ, B; • Exclusion of risk causes bias in inference on competitive dynamics; • C.V. are function of MS and CR (Hannan, S.C.P.); • Interesting, largely consistent results.
Possible improvements V. ambitious, risks to miss the focus and aim. 2 main problems 1. Lost advantage of paper in analysis of competition; 2. Possible specification bias;
1. No analysis of competition Main advantage is the effect of risk on the dynamics of competition: not analysed. Instead analysis of C.V. jumps into SCP, but incompletely: different roles of CR and MS, functional form, interaction, structure vs efficiency etc. Why? How are results consistent?
2. Specification bias Possible bias due to omission of time effects or a macro effect (exogenous demand shifter) (GDP, reliance on banking, Euro…?). Explains: Rivals’ branches elasticity εdBR > 0 call it β1 you get β1 + β2β12 with β2 and β12 > 0 Similarly for εLγ < 0 and εLγR <0 and very large: large negative bias due to effect on denominator of γ.
Minor points • Intercepts in equations; • Branch competition at the local level rather than country level? • Coefficients on the C.V. determinants (α, β) have the same interpretation for loans and deposits: they model expected reactions (collusive or not), not how that r enters the profit equation.