Unemployment insurance benefits and income smoothing

Labor unemployment insurance reduces unemployment concerns. We argue that these benefits moderate incentives to smooth earnings to reduce employees’ concerns about unemployment risk. Using exogenous variations in unemployment insurance benefits, we find evidence consistent with this argument. We also find that the link between unemployment insurance benefits and income smoothing is stronger when there is higher unemployment risk and when the firm is likely to employ more low-wage workers, who find unemployment insurance benefits especially useful. Our paper contributes to the literature by showing that public policy decisions such as unemployment insurance have significant, albeit probably unintended, externalities on corporate financial reporting.     

Mandatory IFRS adoption and management forecasts: The impact of enforcement changes

We examine how concurrent enforcement changes affect the positive relationship between mandatory IFRS adoption and firms’ voluntary disclosure. We show that the increase in the issuance of management forecasts after IFRS adoption is smaller for firms from IFRS-mandating countries with concurrent enforcement changes than for those from countries without such changes. We find no difference in the increase of forecast informativeness between firms from IFRS-mandating countries without concurrent enforcement changes and firms from non-IFRS-mandating countries; however, firms domiciled in IFRS-mandating countries with concurrent enforcement changes exhibit a significantly smaller increase in forecast informativeness. Our findings suggest that better IFRS enforcement distinctly weakens (strengthens) the positive effect of IFRS adoption on voluntary (mandatory) disclosure.     

Are Men Always Picked Over Women? The Effects of Employment Equity Directives on Selection Decisions

This study replicates and extends previous work by Oppenheimer and Wiesner [1990, Sex discrimination: Who is hired and do employment equity statements make a difference? Proceedings of the 11th Annual Conference of the Administrative Sciences Association of Canada, Personnel and Human Resources Division], and examined the effects of minority qualifications on hiring decisions, the effects of employment equity directives when minority candidates are less qualified and the effects of different types and strengths of employment equity directives on hiring decisions. The results indicate that when employment equity is in place, people are increasingly more likely to hire underrepresented group members, to the extent that they are more qualified. Men appear to be treated in a positively biased manner, and are more likely to be hired when they are less qualified. Women are less likely to be hired when they are under-qualified, and in the absence of employment equity directives or when there is a suggestion that women are underrepresented. Moreover, when␣employment equity directives are strengthened, there appears to be a subtle backlash for women but not for men. Eddy S. Ng is an assistant professor at Trent University. He was on faculty at California State Polytechnic University, Pomona in 2006–2007. Willi H. Wiesner is an associate professor at the DeGroote School of Business, McMaster University.     

Does corruption increase emerging market bond spreads?

We study the relationship between corruption and borrowing costs for governments and firms in emerging markets. Combining data on bonds traded in the global market with survey data on corruption compiled by Transparency International, we show that countries that are perceived as more corrupt must pay a higher risk premium when issuing bonds. The global bond market ascribes a significant cost to corruption: an improvement in the corruption score from the level of Lithuania to that of the Czech Republic lowers the bond spread by about one-fifth. This is true even after controlling for macroeconomic effects that are correlated with corruption. We find little evidence that investors became more sensitive to corruption in the wake of the Asian financial crisis.     

Comparing automated text classification methods

Online social media drive the growth of unstructured text data. Many marketing applications require structuring this data at scales non-accessible to human coding, e.g., to detect communication shifts in sentiment or other researcher-defined content categories. Several methods have been proposed to automatically classify unstructured text. This paper compares the performance of ten such approaches (five lexicon-based, five machine learning algorithms) across 41 social media datasets covering major social media platforms, various sample sizes, and languages. So far, marketing research relies predominantly on support vector machines (SVM) and Linguistic Inquiry and Word Count (LIWC). Across all tasks we study, either random forest (RF) or naive Bayes (NB) performs best in terms of correctly uncovering human intuition. In particular, RF exhibits consistently high performance for three-class sentiment, NB for small samples sizes. SVM never outperform the remaining methods. All lexicon-based approaches, LIWC in particular, perform poorly compared with machine learning. In some applications, accuracies only slightly exceed chance. Since additional considerations of text classification choice are also in favor of NB and RF, our results suggest that marketing research can benefit from considering these alternatives.     

Are Unrealistic Assumptions/Simplifications Acceptable? Some Methodological Issues in Economics

Are unrealistic assumptions acceptable? If results are not changed in a misleading way, they are acceptable. The same assumption may be acceptable in one context and not in another. Assuming identical pairs of individuals in the parity and limit theorems in general equilibrium theory is acceptable as results are not changed substantially. The alleged equivalence of the first‐price and second‐price auctions is based on misleading assumptions; Coase's case against taxing pollution is based on a misleading all‐or‐nothing comparison. The contrasting results (neutrality versus non‐neutrality of money) of perfect versus imperfect competition in macroeconomics with important real‐world policy relevance are also used to illustrate the point.     

On a general periodic preventive maintenance policy incorporating warranty contracts and system ageing losses

In this paper, a general periodic preventive maintenance (PM) policy for a repairable revenue-generating system is developed and studied. We define ‘ageing losses’ as the difference in revenues generated by an ideal system (no ageing) and a real system that ages over the same period of consideration. It is assumed that preventive maintenance slows the system deterioration process and therefore reduces ageing losses. The proposed model is general in the sense that (1) both the warranty contracts and system ageing losses are incorporated in the maintenance cost modeling and (2) the implementation of PM actions does not have to be strictly periodic. A cost model is developed for the buyer under two decision variables—the calendar time of the first PM and the degree of each PM. Numerical examples are then presented to show the effectiveness of the proposed model. Sensitivity analyses are further conducted to investigate the impact of model parameters on optimal solutions.     

Media Coverage and the Stock Market Valuation of TARP Participating Banks‡

We examine the impact of media coverage of the Capital Purchase Program (CPP) under the Troubled Assets Relief Program on the equity market valuation of participating bank holding companies (CPP banks). We document substantial negative coverage of the CPP and its participants over the five quarters following the program's initiation. We find that the extent of negative media coverage about the CPP exerted substantial downward pressure on the stock returns of CPP banks, decreasing their valuation relative to bank holding companies not participating in the program. We show that our findings cannot be explained by differences in the banks’ financial viability at the CPP's initiation, new information about their performance being released to the market after the CPP's initiation or preceding stock returns causing the negative media coverage. Our findings highlight the importance of investor sentiment, as reflected by the tone of media coverage, in banks’ valuation during a period of high uncertainty in financial markets.     

Scheduling deteriorating jobs with CON/SLK due date assignment on a single machine

This paper considers the problem of scheduling deteriorating jobs and due date assignment on a single machine. The actual processing time of a job is a linear increasing function of its starting time. The problem is to determine the optimal due dates and the processing sequence simultaneously to minimize costs for earliness, due date assignment and weighted number of tardy jobs. We present polynomial-time algorithms to solve the problem in the case of two popular due date assignment methods: CON and SLK.