Self-employment rate is high in Korean labor market, while the income gap within self-employed is also high. Although, there are very few studies that addressed on the income inequality of self-employed. Thus, this study has measured the earnings inequality of self-employed by generalized entropy indices and decomposed inequality factor and trend. The empirical study is based on Korea Welfare Panel Study wave 1~4. The main result from this analysis is summarized in three points. Firstly, earnings inequality of self-employed is severely high and the earnings polarization within self-employed has become more serious in Korea. Secondly, this study provides the evidence that the main factor of earnings inequality of self-employed is the status of self-employment, education level, age group, workplace scale and industry. Thirdly, the contribution of relative changes in the incomes of the status of self-employment is the largest to the inequality trend. In terms of education level, age group and industry, the increase of inequality within group(pure effect) mainly attributes to the rise of earnings inequality of self-employed and the change effect of group composition contributes to deterioration of inequality.
The Journal of Asian Finance, Economics and Business
/
v.8
no.2
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pp.365-371
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2021
In the wake of several high-profile corporate accounting scandals, there has been evidence that companies are more eager to hire Chief Executive Officers (CEOs) with an accounting background. This signals that CEOs with an accounting background are recognized and trusted by the corporate world to boost the quality of financial reporting of a company. If it is so, in the context of combating the earnings management, hiring CEOs with an accounting background (being a conservative accounting practitioner), could become one of the effective internal corporate governance mechanisms (CGM) to bring down the earnings management activities. This study attempts to provide insight into the level of conservatism of the CEO with an accounting background. Following Basu (1997) and Khan and Watt (2009), the firm-year measure of conservatism (C_Score) was obtained, which later was associated with the accounting education of the CEO to determine their relationship. As expected, CEOs with accounting background exhibit a higher level of moral reasoning than their non - accounting educated counterparts. The finding of this study is useful to persuade the policymaker to consider lifting the trend of hiring a CEO with an accounting background as one of the best practices that the companies can work out to lessen earnings management activities.
The purposes of this study are to identify the factors associated with the degree of role conflict and the likelihood of exits of the labor force of working wives and to investigate the relationship between the role conflict and job quitting behavior of working wives. The major results of this study are as follows. First, the ratio of reservation wage relative to wife's earnings, wife's earnings, husband's behavioral support, the presence of child under age of 6, the type of occupation, and job satisfaction are associated with the role conflict of working wives. Second, there is a significant difference in the job quitting behavior of working wives according to the degree of role conflict of working wives. Third, the level of role conflict, educational level, the ratio of resonation wage relative to wife's earnings, husband's behavioral support, the presence of child under age of 6, the type of occupation, and job satisfaction are associated with the likelihood of job quitting of working wives.
The association between accounting earnings and the stock price of an entity is the subject that has been most heavily researched during the past 25 years in accounting literature. Researcher's common finding is that there are positive relationships between accounting earnings and stock prices. However, the explanatory power of accounting earnings which was measured by $R^2$ of regression functions used was rather low. To be connected with these low results, The prior studies propose that there will be additional information, errors in variables. This study investigates empirically determinants of earnings response coefficients(ERCs), which measure the correlation between earnings and stock prices, using earnings level / change, as the dependent variable in the return/earnings regression. Specifically, the thesis tests whether the factors such as earnings persistence, growth, systematic risk, image, information asymmetry and firm size. specially, the determinable variables of ERC are explained in detail. The image / information asymmetry variables are selected to be connected with additional information stand point, The debt / growth variables are selected to be connected with errors in variables. In this study, The sample of firms, listed in Korean Stock Exchange was drawn from the KIS-DATA and was required to meet the following criteria: (1) Annual accounting earnings were available over the 1986-1999 period on the KIS-FAS to allow computation of variables parameter; (2) sufficient return data for estimation of market model parameters were available on the KIS-SMAT month returns: (3) each firm had a fiscal year ending in December throughout the study period. Implementation of these criteria yielded a sample of 1,141 firm-year observation over the 10-year(1990-1999) period. A conventional regression specification would use stock returns(abnormal returns) as a dependent variable and accounting earnings(unexpected earnings) changes interacted with other factors as independent variables. In this study, I examined the relation between other factors and the RRC by using reverse regression. For an empirical test, eight hypotheses(including six lower-hypotheses) were tested. The results of the performed empirical analysis can be summarized as follows; The first, The relationship between persistence of earnings and ERC have significance of each by itself, this result accord with one of the prior studies. The second, The relationship between growth and ERC have not significance. The third, The relationship between image and ERC have significance of each by itself, but a forecast code doesn't present. This fact shows that image cost does not effect on market management share, is used to prevent market occupancy decrease. The fourth, The relationship between information asymmetry variable and ERC have significance of each by. The fifth, The relationship between systematic risk$(\beta)$ and ERC have not significance. The sixth, The relationship between debt ratio and ERC have significance of each by itself, but a forecast code doesn't present. This fact is judged that it is due to the effect of financial leverage effect and a tendency of interest.
This study investigates whether earnings management behavior of chaebol firms differ from that of non-chaebol firms. The ownership structure of chaebol firms is characterized by the dominance of one largest shareholder and his family members who typically participate in the management of the firm directly or indirectly and influence most of the important management decision. This study adopts the random effect model and the hausman and talyor model, using a panel of 5092 firm-year over a period from 1991 to 2010 to control for potential heterogeneity and endogeneity that may cause sever bias. This study finds that there is no difference in accrual based earnings management level between chaebol firms and non-chaebol firms. However, chaebol firms appeared to engage less real earnings management that is known to negatively affect future earnings and share prices. The results are consistent when controlling for potential heterogeneity and endogeneity in the hausman and taylor model. The results may be of interest to various stakeholders, policy makers, standard setters and academic researchers.
Journal of Korean Society of Industrial and Systems Engineering
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v.40
no.4
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pp.221-229
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2017
In the international businesses human resource elements acquired in different countries might have different values in varied industries due to the different quality of education and experiences in the original countries. Using selection models to evaluate expected values in earnings equation of human resource elements such as education and experiences etc. acquired in sending countries, system equations are expanded to examine also the values of science and engineering degrees in technology jobs with selectivity bias correction. This paper used the US census survey data of 2015 on earnings, academic degrees, occupations etc. The US has long maintained the policy of accepting more STEM workers than any other countries and helped maintaining own technological leadership. Assuming per capita GDP gap between the sending country and the US downgrades immigrant human resource quality, it rarely affects occupational selection but depresses earnings on average by two or more years' worth of education. Immigrant quality index in the sense of GDP gap appears to be a valid tool to assess the expected earnings of the worker with. Engineering degrees increase significantly the probability of selecting not only engineering jobs but also general management jobs, as well as increasing the expected earning additionally over nine years'worth of education. Getting a technology job is additionally worth about four years of education. Economics and business degrees are worth additionally almost six years of education but humanities degrees depress expected earnings. Since years after immigration does not very fast enhance earnings capacity, education level and English language ability might be more useful criteria to expect better future earnings by.
This study compared business performance and earnings quality before and after the COVID-19 pandemic for information and communication companies whose sales increased due to the impact of the COVID-19 pandemic. For this, 4 indicators of ROA, growth potential, liquidity, and stability are used for business performance, and for earnings quality, the standard deviation of the residuals measured by the Dechow and Dichev(2002) model and Francis et al.(2005) model was used. As a result of the analysis, ROA, a representative business performance indicator, increased after xthe period compared to the period before the pandemic, but liquidity was rather deteriorated. As for the quality of earnings, it was confirmed that earnings sustainability is maintained in the post-pandemic period compared to the previous period, similar to ROA. Overall, the profit level and earnings quality of information and communications companies seemed to be improving, while liquidity was deteriorating. This confirms that companies that have overcome the immediate crisis are not ready to pay off their debts right away. Therefore, it suggests that companies need restructuring to reduce their increased debt from the time the COVID-19 subsides.
Contemporary US metropolitan areas have undergone divergent economic transformation, and as a result labor markets have become the focus of concern in their role as determinants of earnings attainment. Explanations of individual earnings attainmnent as a lobor market outcome have been established in two diafferent stances one who emphasizes personal or group attributes in the human capital perspective and the other who emphasizes economic structure in the labor market segmentation perspective. While remaining at the conceptual level and yet relatively unexplored, the importance of place in labormarket operation is a significant advancement as it appears in labor market areas and local labor markets considering that labor market areas represent the intersection of labor market structure and individual labor market experiences at specific geographic places. The substantive inquiry of this study was to explore labor market characteristics and their differentiation across large metropolitan areas, and assess their effects on the individual earnings attainment. Integating individual attributes and labor market characteristics as major factors of labor market operation, this study intended to contextualize individual earnings attainment with geographic labor market areas. Using 1990 US population census 5% "Public-Use Microdata Samples, " the largest 65 metropolitan areas were first selected and employed male workers who are aged between 25 and 50 for whites, blacks, asians, and hispanics. As an initial step earnings differentials between racial/ethnic groups and selected 65 metropolitan areas were examined using analysis of variance, and then earnings differentials were attributed to the individual attributes such as education, age, and immigration status, and four dimensions of metropolitan labor market differentiation devised by principal component analysis of industrial and occupational segments: Public versus Blue Collar Core(CS1), Finance-Core Utility versus Blue Collar Local Monopoly (CS2), Oligopoly versus Blue Collar Periphery(CS3), and Self Employed-White Collar Periphery versus Low-Skill Core(CS4). As a final analysis, individual earnings were related to each individual attribute and its interaction with metropolitan labor market characteristics to examine how the differentiated metropolitan labor market characteristics alter the role of individual attributes on earnings attainment. The findings indicated that individual attributes, education in particular exert significant effects on earnings attainment, but their effects were significantly altered by metropolitan labor market characterristics. Particularly important dimensions were: Oligopoly differentiated from Blue Colla Periphery metropolitan areas enhancing earnings returns to individual attributes for all groups but minority groups (black, asians, hispanics) rely more on this, and Finance-Core Utility differentiated from Blue Collar Local Monopoly metropolitan areas provide higher earnings returns to whites exclusively. These findings suggest that individuals with identical individual attributes involving racial/ethnic categories would have different earnings atteinments depending on the metropolitan labor market characteristics where they reside. Referring back to the major traditions of the human capital and the labor market segmentation in labor market research, the interaction between individual attributes and metropolitan labor market haracteristics on earnings attainment highlights the complimentary nature of the two on earnings determination in particular geographic places, Hence, labor market characteristics differentiatcd across metropolitan areas are an integral part of labor market operation which should be considered for the explanation of individual earnings attainment and racial/ethnic group earnings differentials. Gcographic places are the important contexts for labor market segmentation and individual labor market experiences. In conclusion, this study brings geographic labor markets to the forefront in the examination of individuals' earnings attainments. The empirical vaidation of the role of metropolitan labor market charecteristics on earnings attainment, while exploratory contributes towards a broader perspective of geographic labor market research that recognizes that individuals' labor market experiences are intertwined with geographic contexts of labor market operatin. operatin.
Purpose - This study conducted empirical research on non-financial corporations listed on the stock exchange from 2001 to 2010, focusing on the effects of corporate governance on real earnings management of corporations. In particular, this study examined primarily the impact of the largest shareholder who could use earnings management to pursue his own self-interest, and foreign investors who played a checking role against the largest shareholders. The study also reviewed the relationship between corporate governance and earnings management while also considering corporate growth. Research design, data, and methodology - As for the measurements of real earnings management, abnormal operating cash flow and abnormal production cost were utilized. As for the independent variables, share ratio of the largest shareholder and affiliate person (M) and share ratio of foreign investors (FT) were leveraged. This study excluded those organizations that had changed their fiscal years, those that had not submitted an audit report, corporations under supervision, delisted corporations, corporations that had changed their business type, and so on, from the non-financial corporations out of the publicly traded corporations whose fiscal year ended in December from 2001 to 2010 in addition, KIS values were utilized for the corporate financial data in the study. To verify whether management structure and growth had an impact on real earnings management of a corporation through empirical analysis, a multiple regression analysis model was applied. Result - First, as a result of the analysis, the share ratio (M) of the largest shareholder and affiliate person was found to have a significant positive correlation with abnormal cash flow from operations(ACF) and abnormal production cost (APD). When controlling the growth, the share ratio (M) of the largest shareholder and affiliate person was found to have an insignificant correlation with abnormal cash flow from operations(ACF) but a significant correlation with abnormal production cost (APD). Second, foreign ownership (FT) was found to have a significant positive correlation with abnormal cash flow from operations(ACF) and abnormal production cost (APD) at the confidence level of 1 percent when not including the growth dummy. When controlling the growth, foreign ownership (FT) was found to have a significant negative correlation with abnormal cash flow from operations (ACF) and with abnormal production cost (APD). Conclusion - The results imply that the largest shareholder is closely related to earnings management through real activities regardless of corporate growth. It is also possible to determine from these results that foreign investors are related to earnings management through real activities when not considering corporate growth, but that they would reduce earnings management in the case of considering the growth. Thus, this study verified along with the existing studies that foreign investors were conducting the control function on controlling shareholders.
This study examines the effects of managerial ability on information asymmetry. We use analyst forecast errors as a proxy for information asymmetry, because analysts are referred to as efficient users using firm-level data. The sample consists of 2,246 non-banking firm-years listed in Korea Stock Exchange(KOSPI) during the period 2000 to 2013. We measure managerial ability using DEA(Data Envelopment Analysis) following Demerjian et al.(2012). Using those measures, we examines the effects of managerial ability on analysts' earnings forecast errors and analysts' earnings forecast bias. The results of this study are as follows. First, we find that managerial ability are positively associated with analysts' earnings forecast accuracy. Second, we show that the firms with higher managerial ability tend to have lower the optimistic errors in analysts' earnings forecasts. This study could be useful for outside stakeholders to understand the importance of managerial ability.
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