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The main issues of accounting reporting regarding goodwill are whether a firm’s management reliably conveys their private information about future earnings, and whether they disclose value-relevant and useful information to accounting users. In the current International Financial Reporting Standards (IFRS) regulations, the goodwill impairment test is based on management’s discretionary assessments. This study examines how goodwill impairment is reported under IFRS considering company- and industry-specific economic factors, proxies for earnings management, and macroeconomic crisis years. We extend previous research using tobit and logit regressions by employing a fixed-effects model. This approach is possible because of a panel dataset comprising 449 of 600 active companies sampled from the STOXX Europe 600 index from 2005 to 2018. We find that goodwill impairments are largely concentrated in certain companies, industries, and years. The regression models show a significant negative correlation between companies’ return on total assets and goodwill impairments. Moreover, we discover that goodwill impairments have a significant positive correlation with goodwill intensity, debt ratio, and the proxy for reporting a one-off big bath charge. In addition, we find that the global financial crisis in 2008–2009 and the European debt crisis in 2011 differ significantly from other fiscal years.

Improving energy efficiency in buildings is a major priority of industrialized countries. By eliminating market asymmetries, Energy Performance Certificates (EPCs) is a potential policy instrument when it comes to promoting energy efficiency of real estate. Real estate agents have an important role in providing information about dwellings for sale on the market. The aim of this paper is to study whether the introduction of EPCs changes the asking price setting of real estate agents. We take advantage of the fact that the introduction of a mandatory energy certification system represents a quasi-natural experiment, where we have data on house price and asking price. Based on the analysis, both of a hedonic model and a fixed effect model, we provide evidence that the implementation of EPCs did not affect the price setting of real estate agents. This indicates that real estate agents either disregard EPCs as providers of new information or believe that the market is indifferent to this kind of information. Our results also indicate that there are large similarities between the effects of energy labels on the asking prices and the transaction prices.

The purpose of this study is to uncover factors that explain Bitcoin’s price fluctuations. The price of the cryptocurrency Bitcoin is volatile and has increased from zero in 2009 to more than 19500 USD in December 2017. To explain the price movements we have estimated two Autoregressive Distributed Lag models by using Ordinary Least Squares regression. The data includes 279 weekly observations from 18.09.2011 to 05.02.2017 (before the extreme development from the summer of 2017). The dependent variable is the Bitcoin price and the analysis has examined nine independent variables. Our main finding and contribution is that political incidents and statements (“shocks”) are significant drivers of Bitcoin’s price. Moreover, the volume of Bitcoin and Bitcoin’s price has a significant, negative relationship. The interest of Bitcoin, measured by Google searches, has a positive, significant relationship with Bitcoin’s price. The study does not find evidence for Bitcoin being a safe haven investment. Keywords: Bitcoin, crypto currency, political incidents, price explanationJEL Classifications: C10, G15

Energy performance certificates (EPCs) were introduced to give property buyers better information about the energy efficiency of dwellings and provide incentives to make energy-efficient investments. Previous studies on the effect of EPCs on property value have yielded divergent results, with some studies finding that energy labels affect property values, but others finding that energy labels have little or no effect. The present paper takes the analysis one step further. Using data on energy prices in combination with transaction data from Oslo, we conclude that not only the energy label, but also the energy performance of dwellings in general, has little to no effect on transaction prices. This result is in line with the inferences of several survey studies, which indicate that when people buy a dwelling, they pay considerably less attention to its energy performance compared with other factors, such as the location, neighborhood, size, garden, and the number of bedrooms.

Objective: The Swedish Demand-Control-Support Questionnaire (DCSQ) is used to measure psychosocial work environment. Nine of the original 17 DCSQ items were used in the Trøndelag Health Study (HUNT) in 2017–2019 (HUNT4); three items from each of the three dimensions of demand, control, and support. The goal of this paper was to assess the internal reliability and dimensional structure of the nine DCSQ items used in HUNT4. Method: HUNT4 participants registered with an occupation, and who had responded to all DCSQ items were included in the sample. Internal reliability and consistency of the nine DCSQ items were tested using composite reliability and item total correlation. A confirmatory factor analysis (CFA) was performed to determine whether the nine DCSQ items used in HUNT4 had a similar factor structure as the original 17 items. CFA was performed on the sample as a whole, before testing the models on different occupational groups to check if the dimensional structure remained the same. Results: Of 56,041 HUNT4 participants (participation rate: 54%), 21,187 had a known occupation and responded to all nine DCSQ items. The mean age of the sample was 50.6 years (SD = 10.2), and the sample consisted of 57.3% females and 42.7% males. The best model fit was achieved by removing the item "Work creativity" (λ = 0.398, item total correlation 0.334) from the model. The same three-factorial structure as in the original DCSQ was seen with the remaining eight DCSQ items, with good internal consistency of all three dimensions (composite reliability ranged from 0.709 to 0.851). This dimensional structure remained the same when tested on all occupational groups. Conclusion: The results indicate that the shortened version of the Swedish DCSQ used in HUNT4 can be used to assess aspects of demand, control, and social support at work. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to use a unique customer-information data set from a Norwegian bank to identify how small changes in firm-specific factors correlate with the risk of a client subsequently being involved in suspicious transactions. It provides insight into the importance of updating client risk based on changes in transaction volume and credit risk to enable effective resource use in transaction monitoring. Design/methodology/approach: Changes in a firm's bank use and accounting data were tested against subsequent flagged and reported customers to identify which changes led to a significant increase in the probability of engaging in a transaction identified as suspicious. Prioritizing resources to firms that remain suspicious after further controls can improve the risk-based approach and prioritize detection efforts. The main factors were customer probability of default (credit score), size and changes in customer characteristics. The cross-sectional data set contained administrative data on 8,538 corporate customers (219 with suspicious transactions that were subsequently flagged, 64 of which were reported). A binomial logit model was used. Findings: Changes in transaction volume and bank use are significant in predicting subsequent suspicious transactions. Customer credit score changes were significantly positively correlated with the likelihood of flagging and reporting. Change is a stronger indicator of suspicious transactions than the level. Thus, frequent updating of client risk and using a scale rather than risk categories can improve client risk monitoring. The results also showed that the current anti-money laundering (AML) system is size-dependent; the greater the change in customer size, the greater the probability of the firm subsequently engaging in a suspicious transaction. Research limitations/implications: Client risk classification, monitoring changes in a client's use of the bank and business risk should receive more attention. Practical implications: The authors demonstrate that client risk classifications should be dynamic and sensitive to even small changes, including monitoring the client's credit risk changes. Social implications: Directing AML efforts to clients with characteristics indicating risk and monitoring changes in factors contributing to risk can increase efficiency in detecting money laundering. Originality/value: To the best of the authors' knowledge, this is the first study to focus on changes in a firm's use of a bank and link this to the probability of detecting a suspicious transaction. [ABSTRACT FROM AUTHOR]

Obtain a broad impression of the health and wellbeing of working farmers in a representative population. A cross-sectional study using data from a large, general population-based survey, The HUNT Study, Norway (HUNT survey 4, 2017–2019, response rate 54%). The study included 24,313 occupationally active participants aged 19 to 76 years, including 1,188 farmers. Prevalences are estimated for outcomes covering musculoskeletal, respiratory, and mental health as well as general health and life satisfaction, with adjustment for worker age and sex. The estimates for farmers are compared to skilled white collar workers and skilled manual workers. Farmers had a higher estimated prevalence of poor overall health (prevalence ratio [PR] 1.56 [95%CI 1.34,1.82]), chronically impaired mobility (PR 1.83 [1.53, 2.20]), long-standing musculoskeletal pain or stiffness (PR 1.29 [1.21, 1.37]), work-related respiratory attack (PR 4.32 [3.67, 5.08]), depression symptoms (PR 1.30 [1.04, 1.61]) and symptoms of psychological distress (PR 1.23 [1.04, 1.47]) than skilled white collar workers. The estimated prevalence of poor overall health (PR 1.19 [1.00, 1.41]) and work-related respiratory attacks (PR 1.44 [1.24, 1.67]) was also higher for farmers than skilled manual workers, after adjustment for age and sex. Farmers had greater odds of rating themselves less satisfied with life in general than skilled white collar workers (adjusted OR 1.17 [1.04, 1.31]). These results are consistent with previous research and add evidence that farm work is associated with high prevalences of a broad range of adverse health outcomes. The associations with chronically impaired mobility, long-standing musculoskeletal pain, and poor self-rated health were strong. The adjusted PRs for work-related respiratory attacks relative to both comparison groups were particularly high. More research is needed to identify and evaluate interventions that can improve farmer health. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Studies of the mental health of farmers have been largely cross-sectional and possibly confounded. We performed a prospective cohort study as well as a sibling comparison to control for unmeasured confounding. METHODS: Our study included 76 583 participants aged ≥19 years from the Nord-Trøndelag Health Study [HUNT1 (1984–1986), HUNT2 (1995–1997) and HUNT3 (2006–2008)]. We used the Anxiety and Depression Index (ADI) and the Hospital Anxiety and Depression Scale (HADS) to measure symptoms of mental distress. We used logistic regression to investigate the association between occupation at baseline and symptoms of mental distress 11 years later and fixed effects conditional logistic regression to compare farmers with their siblings working in other occupations. RESULTS: In the prospective cohort study, farmers had similar odds of having symptoms of psychological distress and anxiety as other manual occupational groups. Among all the occupational groups in the study, farmers had the highest odds of having symptoms of depression [odds ratio (OR) 1.99, 95% confidence interval (CI) 1.55–2.55, reference group: higher grade professionals]. Compared with their farming brothers and sisters, siblings in other occupations had lower odds of having high depression (OR 0.70, 95% CI 0.55–0.89) and anxiety (OR 0.79, 95% CI 0.63–1.00) scores in 2006–2008. CONCLUSION: Farmers had higher odds of having high depression scores compared to both other occupational groups and their siblings who were not working as farmers, suggesting that working in agriculture may impact mental health.

We study how loan-to-value (LTV) regulations on mortgages can change the use of unsecured debt and mortgage refinancing behaviors for households at or near the regulatory limits imposed. This study focuses on the differences in unsecured debt market participation between Norway and Sweden, where LTV regulations are in effect, and Denmark and earlier studies, where no LTV limits are imposed. We analyze the unsecured debt loan market using data from a repeated household survey from 2019 and 2021 with 4,010 and 3,023 respondents, respectively. We also explore mortgage lending and unsecured debt using a unique micro data set covering 7,385 Norwegian households. Our analysis shows that unsecured debt increases with LTV level but that households' refinancing behaviors explain the lower increase in unsecured household debt at or near the regulatory limit for LTV on mortgages. We further demonstrate that an increasing number of households cannot refinance unsecured debt with mortgage debt. This lack of ability can lead to a rapid increase in the number of financially vulnerable households. We are the first to demonstrate that changes in different debt sources and refinancing patterns can increase the number of financially vulnerable households when LTV regulations are imposed solely on mortgage debt. [ABSTRACT FROM AUTHOR]

There has been increased interest in human-animal interactions and their possible effects on human health. Some of this research has focused on human physical activity levels, mediated through increased dog walking. Much of the reported research has been cross sectional, and very few epidemiological studies have examined the association between dog ownership and mortality in populations.We used data from the Norwegian county population-based Nord-Trøndelag HUNT Study (HUNT2, 1995-1997). Cox proportional hazards models were fitted to analyse the relationship between dog ownership and all-cause mortality. The median follow-up time was 18.5 years and the maximum follow-up time was 19.7 years.In this population, dog owners were no more physically active than non-dog owners, both groups reporting a total of just over 3 hours/week of light and vigorous activity. Dog owners (n = 25,031, with 1,587 deaths during follow-up; 504,017 person-years of time at risk) had virtually the same hazard of dying as non-dog owners (Hazard ratio 1.00, 95% CI 0.91-1.09).We found no evidence for an association between the presence of a dog in the household and all-cause mortality or physical activity levels in this Norwegian population. Further epidemiological research is needed to clarify this relationship, as methodological limitations and an active Norwegian population sample means that generalizable evidence is not yet clear on dog ownership and mortality.