scholarly journals Event History Analysis of Grievance Arbitration in Ontario: Labour Justice Delayed?

2018 ◽  
Vol 72 (4) ◽  
pp. 621-657 ◽  
Author(s):  
Bruce J. Curran

Summary A number of empirical studies from the early 1970s to the mid-1990s indicated that delay in Canadian grievance arbitration was becoming an increasing problem. There have been no further scientific studies on delay since then, despite developments that may exacerbate the issue like increased legalism and expanded arbitral jurisdiction. Academics and practitioners have recently voiced renewed concerns about the threat that delay poses to the viability of the grievance arbitration system. To address this gap in the scientific literature, the present study examines delay and its determinants in Ontario over the last two decades. Content analysis was conducted on a random sample of almost 400 Ontario grievance arbitrations from three reference years (1994, 2004, and 2012). I then performed event history analysis on the data to determine the various factors that were associated with delay. Consistent with common perception, my empirical results suggest that delay has become worse over the past two decades. I find that certain legalistic factors are indeed associated with delay, including the use of lawyers, the use of preliminary objections, the number of witnesses testifying, and attacks on credibility. In terms of expanded arbitral jurisdiction, I find that while delay has increased for grievances involving alleged Employment Standards Act violations, for all other non-traditional issues (including human rights complaints) there are no significant increases. The results also show that certain dispute resolution procedures, such as expedited arbitration and the use of sole arbitrators are related to shorter grievance durations, and this, combined with the other findings, suggests practical solutions to the issue of delay. However, the findings also suggest that the use of certain procedures involving additional steps, like settlement and mediation-arbitration, can also serve to increase grievance duration when used unsuccessfully.

2017 ◽  
Vol 45 (4) ◽  
pp. 560-588 ◽  
Author(s):  
Daniel R. Biggers ◽  
Michael J. Hanmer

Recently, many states have reversed the decades-long trend of facilitating ballot access by enacting a wave of laws requesting or requiring identification from registrants before they vote. Identification laws, however, are not an entirely new phenomenon. We offer new theoretical insights regarding how changes in political power influence the adoption of identification laws. In the most extensive analysis to date, we use event history analysis to examine why states adopted a range of identification laws over the past several decades. We consistently find that the propensity to adopt is greatest when control of the governor’s office and legislature switches to Republicans (relationships not previously identified), and that this likelihood increases further as the size of Black and Latino populations in the state expands. We also find that federal legislation in the form of the Help America Vote Act seems to enhance the effects of switches in partisan control.


ILR Review ◽  
1996 ◽  
Vol 50 (1) ◽  
pp. 105 ◽  
Author(s):  
Allen Ponak ◽  
Wilfred Zerbe ◽  
Sarah Rose ◽  
Corliss Olson

2020 ◽  
Vol 49 (1) ◽  
pp. 3-16 ◽  
Author(s):  
Luke Fowler ◽  
Jaclyn J. Kettler ◽  
Stephanie L. Witt

Although partisan politics tend be set aside during crisis, the timing of gubernatorial actions in response to COVID-19 is telling about how partisanship is shaping the way elected officials are reacting to this pandemic. Using an event history analysis, the authors find that Democratic governors responded to the White House’s attempts to downplay the severity of the pandemic by declaring emergencies in order to draw citizen attention to and to prepare for a public health crisis. On the other hand, Republican governors resisted doing so until Trump declared a national emergency on March 13; however, Republican reactions were conditional on the president’s job approval in their states. While the COVID-19 pandemic has pushed governments into uncharted territory, state governors appear to be following patterns of vertical partisan competition that mirror those of more conventional policy areas in recent years.


ILR Review ◽  
1996 ◽  
Vol 50 (1) ◽  
pp. 105-121 ◽  
Author(s):  
Allen Ponak ◽  
Wilfred Zerbe ◽  
Sarah Rose ◽  
Corliss Olson

Applying event history analysis to data on a sample of arbitration awards in Alberta in 1985–88, the authors investigate the factors that contribute to delay in different stages of the grievance arbitration process. The analysis shows that a different combination of factors explains delay at each stage of the process. The length of time from the filing of a grievance to referral to arbitration is a function of the complexity and type of the issue; delay in arbitrator selection is associated with the use of legal counsel and the size of the arbitration board; scheduling delay is associated with the nature of the grievance and the use of outside legal counsel; and delay in preparing the decision is linked to the complexity and type of the issue, board size, the presence of legal counsel, and the arbitrator's workload.


1995 ◽  
Vol 49 (2) ◽  
pp. 355-357
Author(s):  
Johannes Huinink

1998 ◽  
Vol 10 (1-3) ◽  
pp. 1-9
Author(s):  
Onno Boonstra ◽  
Maarten Panhuysen

Population registers are recognised to be a very important source for demographic research, because it enables us to study the lifecourse of individuals as well as households. A very good technique for lifecourse analysis is event history analysis. Unfortunately, there are marked differences in the way the data are available in population registers and the way event history analysis expects them to be. The source-oriented approach of computing historical data calls for a ‘five-file structure’, whereas event history analysis only can handle fiat files. In this article, we suggest a series of twelve steps with which population register data can be transposed from a five-file structured database into a ‘flat file’ event history analysis dataset.


Author(s):  
Yujin Kim

In the context of South Korea, characterized by increasing population aging and a changing family structure, this study examined differences in the risk of cognitive impairment by marital status and investigated whether this association differs by gender. The data were derived from the 2006–2018 Korean Longitudinal Study of Aging. The sample comprised 7,568 respondents aged 45 years or older, who contributed 30,414 person-year observations. Event history analysis was used to predict the odds of cognitive impairment by marital status and gender. Relative to their married counterparts, never-married and divorced people were the most disadvantaged in terms of cognitive health. In addition, the association between marital status and cognitive impairment was much stronger for men than for women. Further, gender-stratified analyses showed that, compared with married men, never-married men had a higher risk of cognitive impairment, but there were no significant effects of marital status for women.


1998 ◽  
Vol 43 (S6) ◽  
pp. 33-55 ◽  
Author(s):  
Holly J. McCammon

Historians and social scientists often investigate the conditions that influence the occurrence of particular events. For instance, a researcher might be concerned with the causes of revolutionary action in some countries or the forces that unleash racial rioting in major cities. Or perhaps the researcher wishes to examine why industrial workers decide to strike or what prompts policy-makers to pass new legislation. In each of these examples, a qualitative shift occurs, from a circumstance without racial rioting in a particular city, for instance, to one with racial rioting. Event history analysis can aid researchers in uncovering the conditions that lead to such a shift.


2004 ◽  
Vol 95 (2) ◽  
pp. 589-592 ◽  
Author(s):  
Anne E. Lincoln

Research has indicated significant age differences between male and female Academy Award nominees and winners. However, this discrepancy may be associated with sex differences in actors' ages when they first begin their acting careers. The present research uses event history analysis to investigate the duration of Academy Award nominees' careers from career start (first film) to first three Academy Award nominations. Analysis suggested controlling for an actor's age at first film explains the sex-age disparity between Academy Award nominees and winners.


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