Workplace Violence and the Duration of Workers’ Compensation Claims

2008 ◽  
Vol 63 (1) ◽  
pp. 57-84 ◽  
Author(s):  
Michele Campolieti ◽  
James Goldenberg ◽  
Douglas Hyatt
Keyword(s):  
Workplace Violence ◽  
Unobserved Heterogeneity ◽  
Random Effect ◽  
Health Care Expenditures ◽  
The Other ◽  
Compensation Claims ◽  
Psychosomatic Problems ◽  
Heterogeneity Distribution ◽  
As Stress ◽  
Unobservable Factors

Based upon unique Canadian administrative data from the years 1996 to 1999, this study examines the duration of absences from work due to injuries arising from workplace violence with a hazard model. We find that policing and nursing occupations, larger health care expenditures and more severe acts of violence are associated with longer absences from work. On the other hand, workers from larger firms have shorter absences from work. Our estimates are also quite sensitive to the inclusion of unobserved heterogeneity distribution, i.e., an individual specific random effect. This suggests that unobservable factors, such as stress and psychological or psychosomatic problems resulting from the workplace violence could have a large impact on the duration of work absences.

NONLINEAR PANEL DATA MODELS WITH DISTRIBUTION-FREE CORRELATED RANDOM EFFECTS

2021 ◽  
pp. 1-25
Author(s):  
Yu-Chin Hsu ◽  
Ji-Liang Shiu
Keyword(s):  
Panel Data ◽  
Data Model ◽  
Conditional Distribution ◽  
Unobserved Heterogeneity ◽  
Random Effect ◽  
Data Models ◽  
Panel Data Model ◽  
Panel Data Models ◽  
Likelihood Functions ◽  
Correlated Random Effects

Under a Mundlak-type correlated random effect (CRE) specification, we first show that the average likelihood of a parametric nonlinear panel data model is the convolution of the conditional distribution of the model and the distribution of the unobserved heterogeneity. Hence, the distribution of the unobserved heterogeneity can be recovered by means of a Fourier transformation without imposing a distributional assumption on the CRE specification. We subsequently construct a semiparametric family of average likelihood functions of observables by combining the conditional distribution of the model and the recovered distribution of the unobserved heterogeneity, and show that the parameters in the nonlinear panel data model and in the CRE specification are identifiable. Based on the identification result, we propose a sieve maximum likelihood estimator. Compared with the conventional parametric CRE approaches, the advantage of our method is that it is not subject to misspecification on the distribution of the CRE. Furthermore, we show that the average partial effects are identifiable and extend our results to dynamic nonlinear panel data models.

scholarly journals The Effect of IP Constituent Position and Foot Complexity on Timing in Polish Learner's English Pronunciation

2010 ◽  
Vol 8 ◽  
pp. 149-162
Author(s):  
Andrzej Porzuczek
Keyword(s):  
Stress Distribution ◽  
The Other ◽  
Speech Timing ◽  
Other Hand ◽  
British School ◽  
English Pronunciation ◽  
Native Speech ◽  
As Stress

This paper focuses on the effect of prominence level and stress distribution on timing in read English speech of Polish learners. We have measured and analysed the length of IP units distinguished by the traditional British School prosodic description, i.e. preheads, heads and nuclei, as well as stress feet, further divided into stressed and unstressed syllables. A comparison of native and Polish learners' performance shows similar durations of stressed and pitch accented syllables. The unstressed syllables and syllable clusters, on the other hand, are significantly longer in non-native speech, and the discrepancies increase at lower phrasal prominence levels, especially in the preheads. Similar results for both groups have been obtained with respect to the number of consecutive unstressed syllables (foot complexity). The same test repeated after seven months of pronunciation training reveals a considerable tendency towards native speech timing, although the differences concerning low prominence levels remain significant.

Safety Performance Functions for Rural Two-Lane County Road Segments

2018 ◽  
Vol 2672 (52) ◽  
pp. 226-237 ◽  
Author(s):  
Steven Y. Stapleton ◽  
Anthony J. Ingle ◽  
Meghna Chakraborty ◽  
Timothy J. Gates ◽  
Peter T. Savolainen
Keyword(s):  
Negative Binomial ◽  
Unobserved Heterogeneity ◽  
Strong Association ◽  
Random Effect ◽  
Safety Performance ◽  
Federal Aid ◽  
Rural County ◽  
Design Standards ◽  
Safety Performance Functions ◽  
Lane County

Safety performance functions (SPFs) were developed for rural two-lane county roadway segments in Michigan. Five years of crash data (2011 to 2015) were analyzed for greater than 6,500 mi of rural county roadways, covering 29 of Michigan’s 83 counties and representing all regions of the state. Three separate models were developed to estimate annual deer-excluded total and injury crashes on rural county roadways: 1) paved federal-aid segments, 2) paved non-federal-aid segments, and 3) paved and gravel non-federal-aid segments with fewer than 400 vpd. To account for the unobserved heterogeneity associated with differing county design standards, mixed effects negative binomial models with a county-specific random effect were utilized. Not surprisingly, the county segment SPFs generally differed from traditional models generated using data from state-maintained roadways. County federal-aid roadways general showed greater crash occurrence than county non-federal-aid roadways, the Highway Safety Manual (HSM) two-lane rural roadways model, and rural state highways in Michigan. County non-federal-aid paved roadways showed crash occurrence rates that were remarkably similar to the HSM base rural two-lane roadway model, whereas gravel roadways showed greater crash occurrence rates. The presence of horizontal curves with design speeds below 55 mph had a strong association with the occurrence of total and injury crashes across all county road classes. Increasing driveway density was also found to be associated with increased crash occurrence. However, lane width, roadway surface width, and paved shoulder width had little to no impact on total or injury crashes.

BRICS-United Nations regional groups’ trade patterns: a panel-gravity approach

2018 ◽  
Vol 11 (2) ◽  
pp. 151-179 ◽  
Author(s):  
Farkhondeh Jabalameli ◽  
Ehsan Rasoulinezhad
Keyword(s):  
United Nations ◽  
Foreign Trade ◽  
Bilateral Trade ◽  
Random Effect ◽  
Transportation Cost ◽  
Ordinary Least Squares ◽  
The Other ◽  
Trade Pattern ◽  
Trade Patterns ◽  
Content Type

Purpose The purpose of this paper is to analyze and compare the similarities in the foreign trade patterns of China and the other BRICS (Brazil, Russia, India, China and South Africa) members. Design/methodology/approach Three panel data estimations, namely, fixed effect, random effect and fully modified ordinary least squares, have been conducted in this paper based on the gravitational model of international trade for bilateral trade of each BRICS member with five United Nations (UN) regional groups from 2001 to 2015. Findings The results revealed that Russia has a dissimilar trade pattern, based on the Heckscher–Ohlin (H-O) framework, with these five regional groups, while the other BRICS members follow the Linder hypothesis. Furthermore, it was found that China has a faster pace of globalization, while the rest of the BRICS members have experienced regionalization rather than globalization. In addition, geographical distance, as a proxy for transportation cost, has a weaker negative effect on the trade patterns of China and India, which makes the trade patterns of BRICS members dissimilar. Originality/value To the best of the authors’ knowledge, this paper is the first attempt to examine and compare the BRICS member countries’ foreign trade pattern through a gravity trade approach.

Segmentation of Information Systems Users

2013 ◽  
Vol 25 (4) ◽  
pp. 1-26 ◽  
Author(s):  
Semina Halilovic ◽  
Muris Cicic
Keyword(s):  
Information System ◽  
Information Systems ◽  
Software Development ◽  
Least Squares ◽  
Unobserved Heterogeneity ◽  
Finite Mixture ◽  
The Other ◽  
Continuance Intention ◽  
Cognitive Beliefs ◽  
Intention To Continue

The Expectation-Confirmation Model of Information Systems Continuance (ECM-IS) explains antecedents that influence IS users’ behavior and affect their decision whether to continue or discontinue information system (IS) using. ECM-IS emphasizes differences between initial acceptance and IS continuance. For companies that deal with the design and software development, IS continuance is retaining of existing customers of product and services. This study extends the ECM-IS by accounting for unobserved heterogeneity. The Finite Mixture Partial Least Squares (FIMIX-PLS) methodology is applied for identification of distinctive customer segments. Segmentation of IS users was made on the basis of cognitive beliefs and affect influencing one’s intention to continue using IS and two different segments of users were derived. The first segment comprises 65.6%, and the other one 34.4% users. The ECM-IS explained 51.9% of IS continuance intention and 20.7% of satisfaction for the first segment, while for the second segment the ECM-IS explained 98.1% of IS continuance intention and 91.3% of satisfaction.

Seriousness of Traffic Accidents during Work and Commuting

2003 ◽  
Vol 97 (1) ◽  
pp. 147-150 ◽  
Author(s):  
Simo Salminen
Keyword(s):  
Traffic Accidents ◽  
Leisure Time ◽  
Working Hours ◽  
The Other ◽  
Insurance Companies ◽  
Data Sets ◽  
Heavy Vehicles ◽  
Work Related ◽  
Major Injury ◽  
Compensation Claims

This study examined the seriousness of traffic accidents that happened either on work errands or during commuting. The article was based on three independently gathered data sets, of which two were based on compensation claims to the insurance companies ( N = 2,050 and N = 17,108) and one on the interviews of victims ( N = 328). The traffic accidents at work led to a major injury or death more often than the commuting accidents. On the other hand, the work-related traffic accidents were less serious than the leisure-time traffic accidents. One explanation could be that heavy vehicles used during the working hours protected the drivers of these vehicles.

scholarly journals Trigger factors mainly from the environmental type are reported by adolescents with migraine

2013 ◽  
Vol 71 (5) ◽  
pp. 290-293 ◽  
Author(s):  
Marcela Dalla Bernardina Fraga ◽  
Ricardo Silva Pinho ◽  
Solange Andreoni ◽  
Maria Sylvia de Souza Vitalle ◽  
Mauro Fisberg ◽  
...  
Keyword(s):  
Migraine Attack ◽  
Episodic Migraine ◽  
The Other ◽  
Trigger Factor ◽  
Trigger Factors ◽  
Headache Diary ◽  
Common Group ◽  
Environmental Causes ◽  
Hot Weather ◽  
As Stress

Migraine can be triggered by many factors such as stress, sleep, fasting and environmental causes. There are few studies that evaluated migraine trigger factors in the adolescent population.Methods:A total of 100 participants from 10 to 19 years were subjected to a detailed headache questionnaire, with demographic and clinical data, and a headache diary including trigger factors during a two-month period was asked.Results:Fifty of the participants exhibited chronic migraine and the other 50 participants demonstrated episodic migraine. The most common group of trigger factors reported was the environmental one, mainly sun/clarity, followed by hot weather and the smell of perfume.Conclusions:Ninety-one percent of children and adolescents with migraine reported a trigger factor precipitating the migraine attack.

Sign in / Sign up

Export Citation Format

Share Document