2010
DOI: 10.2139/ssrn.1641305
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Counterfactual Analysis of Bank Mergers

Abstract: Estimating the impact of bank mergers on credit granted and on interest rates requires a framework that allows to disentangle the effect of changes in market structure generated by mergers from the effects arising from changes in banks' operating environment. However, most of the literature on the impact of bank mergers relies on a simple differential analysis of the relevant variables. We propose a new methodology. It relies on the estimation of a structural model of the credit market. Using this model we are… Show more

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Cited by 2 publications
(3 citation statements)
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“…For example, [1] show that, as pre-M&A process equilibrium is altered, effects are different for the parties involved in the process, the economic sector and households. A merger in the banking sector facilitates access to credit for companies, but reduces it for households.…”
Section: The Banking Sectormentioning
confidence: 99%
“…For example, [1] show that, as pre-M&A process equilibrium is altered, effects are different for the parties involved in the process, the economic sector and households. A merger in the banking sector facilitates access to credit for companies, but reduces it for households.…”
Section: The Banking Sectormentioning
confidence: 99%
“…demand and supply parameters. In the banking industry, this is done by substituting into the premerger structural equations, the sum of the branches for the new entities (see, e.g., Barros, Bonfim, Kim, & Martins, 2014;Molnar, 2008;Zhou, 2008;among others). Such a procedure rests on the assumptions that "… the form of competition, the demand system and the functional form of marginal cost do not change due to the merger …" as noted by Budzinski and Ruhmer (2010).…”
mentioning
confidence: 99%
“…Within this approach, Barros et al (2014) perform an interesting counterfactual analysis to disentangle the effect of mergers from the influence of other macro-economic factors, exploiting a wave of mergers that occurred in 2000 in Portugal. Using a structural model, they derive the estimated coefficients of the demand and supply of credit in the premerger equilibrium.…”
mentioning
confidence: 99%