The dataset consists of 68 observations (rows) and 24 variables (columns). It contains information about opinions issued on IFRS 17 implementation challenges. The dataset includes details about the opinion issuer (e.g., whether they are a practitioner, expert, researcher, or teacher), as well as binary indicators for various IFRS 17-related issues. These issues include problems with annual cohorts, the treatment of onerous contracts, discount rate calculation methods, the Premium Allocation Approach (PAA), first-time implementation difficulties, risk adjustment for non-financial risk, IT system challenges, and interactions between IFRS 9 and IFRS 17. Each issue is coded as “1” if mentioned in the opinion and “0” otherwise. The dataset allows for analyzing how different types of opinion issuers perceive IFRS 17 challenges and which problems are most frequently reported.
Genaral Variables
1. Company – Name of the company being evaluated.
2. no – Identification number of the company.
3. Company_n – Alternative identification of the company (possibly categorization).
4. Data – Date of opinion issuance.
5. old_num – Number of days that have passed since the opinion was issued.
6. months_num – Number of months that have passed since the opinion was issued.
7. BIG4_d – Binary variable (0/1) indicating whether the company is part of the Big Four.
8. cathegory – Classification of the opinion issuer. The categories include:
· practitioner – The opinion was issued by a practitioner.
· expert – The opinion was issued by an expert.
· other – The opinion was issued by someone categorized as "other."
· researcher – The opinion was issued by a researcher.
· teacher – The opinion was issued by an academic or educator.
Opinion Issuer Characteristics:
9. practitioner_d – Binary variable (0/1) indicating whether the opinion issuer is a practitioner.
10. expert_d – Binary variable (0/1) indicating whether the opinion issuer is an expert.
11. other_d / researcher_d / teacher_d – Binary variables (0/1) indicating whether the opinion issuer falls into one of these categories.
Variables Related to Identified Problems:
From here onward, the variables indicate whether the analyzed opinion highlights a specific problem. Each is coded as “1” if the problem is mentioned in the opinion, otherwise “0.” These align with the eight identified IFRS 17-related challenges:
12. cohorts – Whether the opinion discusses problems related to annual cohorts, which may cause unnecessary complexity in financial reporting.
13. contract_liabilities – Whether the opinion mentions problems with contract liabilities, which may include recognition, measurement, or classification issues.
14. non-financial – Whether the opinion discusses risk adjustment for non-financial risk, which affects the measurement of insurance contracts.
15. First-time – Whether the opinion mentions challenges related to first-time implementation, including the need for additional provisions and adjustments.
16. IFRS 9 – Whether the opinion addresses interactions between IFRS 9 and IFRS 17, particularly how the classification of financial assets affects insurance contract accounting.
17. rates – Whether the opinion discusses problems with the two methods for discount rate calculation, affecting the valuation of insurance liabilities.
18. PAA – Whether the opinion refers to difficulties with the Premium Allocation Approach (PAA), an alternative method for measuring liabilities under IFRS 17.
19. onerous – Whether the opinion highlights issues related to the treatment of onerous contracts, i.e., contracts expected to be loss-making, requiring special accounting treatment.
20. understanding – Whether the opinion raises concerns about the complexity and understanding of IFRS 17, especially regarding its interpretation and practical application.
21. systems – Whether the opinion highlights issues with IT systems, such as challenges in adapting accounting systems to IFRS 17 requirements.
22. comparability – Whether the opinion mentions comparability issues, indicating concerns that IFRS 17 may reduce the consistency of financial reporting across companies.
(2025-03)
