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IV. Method

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The study presented here employs a wide range of qualitative and quantitative methods, in particular comparative and economic analysis as well as leximetric approaches16. To facilitate the leximetric comparison, the Member States’ answers to the questionnaire have been coded. The design of the coding framework benefited from earlier studies applying a coding methodology. The foundational work in this area by La Porta et al already focussed on law and finance17. The coding principles applied in this study are based on more recent work such as the Extended Creditor Protection Index of the Centre for Business Research of the University of Cambridge18 and the OECD Employment Protection Legislation (EPL) Indicators19.

The focus of the coding is the amount and the speed of loan enforcement from the perspective of a bank as creditor. The answers are coded applying values between 1 (maximum) and 0 (minimum). 1 denotes maximum support of high and/or quick satisfaction of the bank. 0 signals no support of high and/or quick satisfaction of the bank. Values between 1 and 0 are used to represent relative support of bank recovery. The higher (lower) the value, the more (less) support is provided for a high and quick satisfaction of the bank. Numerical values provided as answers to quantitative questions are normalised across {0,1} and rounded to one decimal place20. The answers were independently coded by two persons. Both were equipped with general and – where necessary – question-specific coding principles21. The author moderated differences in the values assigned and made additional random checks. The following statistical analyses were then conducted on the basis of these values22.

Retos y desafíos de las garantías reales

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