Accounting and Finance Graduate Employment Outcomes: Underemployment,Self‐employment and Managing Diversity

The employment landscape for new graduates is increasingly challenging due to rapid changes in automation and globalisation, coupled with softening labour markets arising from economic uncertainty. For accounting and finance, there is the added complexity of a shift away from traditional core responsibilities and evidence of marginalisation among certain groups within the professions. The study used national data (N = 40 141) to examine the employment outcomes of accounting and finance graduates in Australia. Findings indicate weak full‐time, short‐term employment outcomes among graduates with little variation in recent years. High levels of casual working were evidenced and the proportion of self‐employed was relatively low in comparison with the broader workforce and was dominated by male and older graduates. Of those working, 45% were not in graduate‐level employment. There were variations in patterns of employment and underemployment by individual characteristics. The study informs stakeholders of prevalent employment trends and determinants of postgraduation outcomes in accounting and finance graduates, in addition to insights into how these professions are progressing in managing diversity. Implications for stakeholders in relation to improving graduate employment outcomes, as well managing diversity, are discussed.     

Impacts of trade liberalization in Canada's supply managed dairy industry

Trade is an integral part of the Canadian economy. The main institutional drivers governing trade are bilateral and multilateral agreements outlining permissible trade distorting measures. Since its inception in 1972, Canada's supply management system has remained protected throughout trade negotiations. The system appears, by any economic measure, to be having an increasingly disproportional influence in recent trade negotiations. However, trade agreements serve not only to maximize social surplus, but also to maximize some measure of political welfare. Canada has recently negotiated three prominent trade agreements: the Canada-European Union Comprehensive Economic and Trade Agreement (CETA) came into effect in the latter part of 2017; the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) came into effect at the end of 2018; and the Canada-United States-Mexico Agreement (CUSMA) could come into effect in 2020. Collectively, these agreements have guaranteed increased market access for fresh and processed dairy products. We build a spatial partial equilibrium model of the Canadian dairy industry consisting of three regions and 10 commodities to assess the individual and cumulative effect of these trade agreements. We pay particular attention to the institutional drivers within today's dairy sector: milk protein isolates; component pricing, including Class 7; and differential demand growth. We find that the aggregate impacts are: (a) a 1.4% decrease in the marginal retail price; (b) a 4.8% decrease in the blended producer price; and (c) an overall increase in social welfare of 7.8%. Worth noting, the decrease in producer surplus varies from 0.7% in the western region to 1.5% in Ontario. Our results may be relevant to future negotiations as well as the publicly promised compensation package for dairy producers.     

Integrating Financial Stability into Monetary Policy

The global financial crisis has highlighted the importance of integrating financial stability concerns into monetary policy. In the Bank of Canada’s view, monetary policy should be the last line of defence against threats to financial stability, behind the joint responsibility of borrowers and lenders, appropriate regulatory oversight, and sound macroprudential policies. Still, it is critical to understand the interlinkages between monetary policy and financial stability, given that the objectives are not always consistent. This implies the necessity of trade-offs. At the Bank of Canada, this is regarded as a problem of risk management rather than policy optimization. That is why the Bank operates a risk-management approach to monetary policy—keeping inflation control as its primary mission.     

Poor institutions as a comparative advantage

Classic theories of comparative advantage point to factor productivity and factor abundance as determinants of specialization and trade. Likewise, geography and topography can determine trade patterns. Institutions, however, are increasingly seen as important sources of comparative advantage. A global drug prohibition regime implies that institutional quality matters more than traditional sources in the drug trade. This paper theoretically models trade patterns of illicit goods and confirms the role of institutions empirically with respect to the drug trade. In particular, illicit enterprises gain force in countries where resources are scarce, drug enforcement is uncertain, and institutions are weak in absolute terms and relative to neighboring countries. I propose several policy alternatives that emphasize economic opportunity for the poor and institutional quality that complement drug prohibition.     

Your Governance or Mine?

In response to criticism directed at the resource sector's corporate governance, this paper examines the corporate governance and underlying firm characteristics of resource development stage entities (DSEs) relative to a size‐matched sample of non‐resource firms. We find that resource DSEs have different governance characteristics in the measures of board independence, chair/CEO duality and CEO cash bonuses. Furthermore, there are differences in the information environment measures of analyst following, debt levels, stock market return and stock turnover. Considering we document substantial differences in underlying firm characteristics, corporate governance differences are likely appropriate to the mining industry and should not be uniformly labelled as ‘bad’. Our results suggest that media rankings based on corporate governance scores may not accurately portray the resource sector. Overall, our results are of interest to Australian investors and regulators and contribute to a broader understanding of contextually contingent corporate governance.     

CIO在PLM中的作用——帮助开发“一流的产品”以推动经济复苏

2010年第一季度的Aberdeen商业评论指出,产品生命周期管理(PLM)对业务连续性变得空前重要,并因而被迅速列入到CIO的战略性议事日程上。基于此,Aberdeen以160多家制造商为对象开展了一项调查研究。本文是该项研究的结果,它为CIO提供了切实可行的指导意见,可确保他们从PLM中充分挖掘业务价值。     

When does economic model type become a decisive factor in health technology appraisals? Learning from the expanding treatment options for relapsing–remitting multiple sclerosis

Objectives: Specific economic model types often become de facto standard for health technology appraisal over time. Markov and discrete event simulation (DES) models were compared to investigate the impact of innovative modeling on the cost-effectiveness of disease-modifying therapies (DMTs) in relapsing–remitting multiple sclerosis (RRMS). Fingolimod was compared to dimethyl fumarate (DMF; in highly active [HA] RRMS), alemtuzumab (in HA RRMS) and natalizumab (in rapidly evolving severe RRMS). Comparator DMTs were chosen to reflect different dosing regimens.

Materials and methods: Markov and DES models used have been published previously. Inputs were aligned in all relevant respects, with differences in the modeling of event-triggered attributes, such as relapse-related retreatment, which is inherently difficult with a memoryless Markov approach. Outcomes were compared, with and without different attributes.

Results: All results used list prices. For fingolimod and DMF, incremental cost-effectiveness ratios (ICERs) were comparable (Markov: £4206/quality-adjusted life year [QALY] gained versus DES: £3910/QALY gained). Deviations were observed when long-term adverse events (AEs) were incorporated in the DES (Markov: £25,412 saved/QALY lost, versus DES: £34,209 saved/QALY lost, fingolimod versus natalizumab; higher ICERs indicate greater cost-effectiveness). For fingolimod versus alemtuzumab, when relapse-triggered retreatment was included in the DES, large cost differences were observed (difference between incremental cost is £35,410 and QALY is 0.10).

Limitations: UK payer perspective, therefore societal approach was not considered. Resource utilization and utilities for both models were not derived from the subpopulations; as the focus is on model type, input limitations that apply to both models are less relevant.

Conclusions: Whilst no model can fully represent a disease, a DES allows an opportunity to include features excluded in a Markov structure. A DES may be more suitable for modeling in RRMS for health technology assessment purposes given the complexity of some DMTs. This analysis highlights the capabilities of different model structures to model event-triggered attributes.     

A Holy Alliance: Collusion in the Renaissance Europe Alum Market

On June 11, 1470, representatives of Pope Paul II and Ferdinand, King of Naples concluded a cartel agreement to restrict competition in the sale of alum. The agreement was one element of a broader plan to monopolize the sale of alum throughout Christendom. We discuss the background of the cartel agreement and analyze its terms (which include arrangements to facilitate detection of and reduce the profitability of defection) and the constraints that limited, but did not eliminate, Rome’s ability to extract economic profit from the European alum market.     

Using Compulsory Mobility to Identify School Quality and Peer Effects

Education production functions that feature school and student fixed effects are identified using students' school mobility. However, student mobility is driven by factors like parents' labour market shocks and divorce. Movers experience large achievement drops, are more often minority and free meal students, and sort endogenously into peer groups and school types. We exploit an English institutional feature whereby some students must change schools between grades 2 and 3. We find no evidence of endogenous sorting of such compulsory movers across peer groups or school types. Non‐compulsory movers bias school quality estimates downward by as much as 20% of a SD.