scholarly journals IDIOSYNCRATIC AND AGGREGATE RISKS, INEQUALITY AND GROWTH

2016 ◽  
Vol 69 (2) ◽  
pp. 109-123
Author(s):  
Yoseph Yilma Getachew
Keyword(s):  
2005 ◽  
Vol 35 (4) ◽  
pp. 733-754 ◽  
Author(s):  
Martin Bouchard ◽  
Pierre Tremblay

Capture-recapture methodologies have been used to estimate the size of the hidden population of active offenders on the basis of the observed properties of the truncated distribution of arrested offenders. We use this approach to estimate the odds of arrest of marijuana, cocaine, crack, and heroin dealers and users in one Canadian province (Quebec). Findings indicate that risks of being arrested are much higher for sellers than for consumers and that this gap widens for the more harmful drugs. Findings also show, however, that vulnerability to arrest was significantly higher for marijuana users than for others users and that dealers in the smaller but more harmful drug markets (crack and heroin) manage to experience lower aggregate risks of arrest than cocaine or marijuana dealers.


2020 ◽  
Vol 13 (8) ◽  
pp. 183
Author(s):  
Viral V. Acharya ◽  
Aaditya M. Iyer ◽  
Rangarajan K. Sundaram

We address the paradox that financial innovations aimed at risk-sharing appear to have made the world riskier. Financial innovations facilitate hedging idiosyncratic risks among agents; however, aggregate risks can be hedged only with liquid assets. When risk-sharing is primitive, agents self-hedge and hold more liquid assets; this buffers aggregate risks, resulting in few correlated failures compared to when there is greater risk sharing. We apply this insight to build a model of a clearinghouse to show that as risk-sharing improves, aggregate liquidity falls but correlated failures rise. Public liquidity injections, for example, in the form of a lender-of-last-resort can reduce this systemic risk ex post, but induce lower ex-ante levels of private liquidity, which can in turn aggravate welfare costs from such injections.


2015 ◽  
Vol 54 (4I-II) ◽  
pp. 915-929
Author(s):  
Rashida Haq

The concept of vulnerability extends the idea of poverty to include idiosyncratic as well as aggregate risks which can be defined as the probability of being in poverty or to fall deeper into poverty in the future. It can be categorised on the micro-and macro level where macro vulnerability refers to worldwide threats to social welfare, e.g. globalisation and recent international financial crises. Conversely, micro vulnerability refers to the household level risks including health risks, economic shocks, social shocks, natural disasters, and demographic shocks [Tesliuc and Lindert (2004)]. To assess and estimate vulnerability to poverty, various approaches had been proposed. First, vulnerability can be seen as a probability of falling into poverty in near future [Chaudhuri (2003); Christaensen and Subbarao (2005)]. The other ways of measuring vulnerability consider it as low expected utility [Ligon and Schechter (2003)] and vulnerability as uninsured expose to risk, i.e., measures of cost, in terms of consumption [Tesliuc and Lindert (2004)]. The basic idea is that the state of poverty at a given point actually is not sufficient for assessing poverty and for drawing results to design poverty reduction programs. Households face various risks and do not know whether any possible shock will hit them in future. So the assessment of poverty at a given point in time is a static approach, not considering possible changes in the future. By assessing vulnerability it refers to the dynamic perspective, it is explicitly forward looking and tries to include the risks that may push people into poverty in future


2005 ◽  
Vol 35 (01) ◽  
pp. 25-43 ◽  
Author(s):  
Stan Alink ◽  
Matthias Löwe ◽  
Mario V. Wüthrich

We consider d identically and continuously distributed dependent risks X 1,…, Xd . Our main result is a theorem on the asymptotic behaviour of expected shortfall for the aggregate risks: there is a constant cd such that for large u we have . Moreover we study diversification effects in two dimensions, similar to our Value-at-Risk studies in [2].


Author(s):  
David Mahone

Work sampling is proposed as a method for evaluating aggregate risks for cumulative trauma disorders in jobs. The approach assumes that an assessment of cumulative trauma disorder (CTD) risk factors within individual tasks has been made, and can be used in conjunction with the resulting estimates of proportion of time spent per task or activity to arrive at an overall estimation of CTD risk for the job. Important advantages of work sampling include that it estimates the availability of rest and recovery time within jobs, that the method can be applied to both cyclical and noncyclical jobs, and that small, practical samples may provide reasonable estimates in many cases. A case study utilizing work sampling in a workers compensation carpal tunnel syndrome (CTS) claims investigation using a single day sample interval is presented. Results suggest little or no CTD risk, a finding that was supported by historical evidence from a large population of workers (27,200) performing the same job. Only .0000025% of workers had reported a CTD over a period of 3 years. While support for causation of CTD was not found, the method identified a probability of aggravation of a possible pre-existing condition, which is also compensable. Details regarding the studied job are provided. The use of a work sampling method to assess CTD risks is discussed.


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