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Elena Stancanelli - One of the best experts on this subject based on the ideXlab platform.

  • Individual Wealth, Reservation Wages, and Transitions into Employment
    Journal of Labor Economics, 2001
    Co-Authors: Hans Bloemen, Elena Stancanelli
    Abstract:

    We investigate the relationship between financial wealth, reservation wages, and labor market transitions. Wealth is assumed to affect the level of the reservation wage and the Employment Probability. We test for the validity of this assumption by estimating a simultaneous‐equations model of reservation wages, labor market transitions, and wealth. The data used for the analysis relate to a sample of unemployed job searchers. We use subjective information on the reservation wage. Wealth is found to have a significantly positive impact on the reservation wage. The overall impact of wealth on the Employment Probability is negative though small.

  • Individual wealth, reservation wages and transitions into Employment
    1997
    Co-Authors: Elena Stancanelli, Hans Bloemen
    Abstract:

    We investigate the relationship between financial wealth, reservation wages, and labor market transitions. Wealth is assumed to affect the level of the reservation wage and the Employment Probability. We test for the validity of this assumption by estimating a simultaneous-equations model of reservation wages, labor market transitions, and wealth. The data used for the analysis relate to a sample of unemployed job searchers. We use subjective information on the reservation wage. Wealth is found to have a significantly positive impact on the reservation wage. The overall impact of wealth on the Employment Probability is negative though small. Copyright 2001 by University of Chicago Press. (This abstract was borrowed from another version of this item.)

Hans Bloemen - One of the best experts on this subject based on the ideXlab platform.

  • Individual Wealth, Reservation Wages, and Transitions into Employment
    Journal of Labor Economics, 2001
    Co-Authors: Hans Bloemen, Elena Stancanelli
    Abstract:

    We investigate the relationship between financial wealth, reservation wages, and labor market transitions. Wealth is assumed to affect the level of the reservation wage and the Employment Probability. We test for the validity of this assumption by estimating a simultaneous‐equations model of reservation wages, labor market transitions, and wealth. The data used for the analysis relate to a sample of unemployed job searchers. We use subjective information on the reservation wage. Wealth is found to have a significantly positive impact on the reservation wage. The overall impact of wealth on the Employment Probability is negative though small.

  • Individual wealth, reservation wages and transitions into Employment
    1997
    Co-Authors: Elena Stancanelli, Hans Bloemen
    Abstract:

    We investigate the relationship between financial wealth, reservation wages, and labor market transitions. Wealth is assumed to affect the level of the reservation wage and the Employment Probability. We test for the validity of this assumption by estimating a simultaneous-equations model of reservation wages, labor market transitions, and wealth. The data used for the analysis relate to a sample of unemployed job searchers. We use subjective information on the reservation wage. Wealth is found to have a significantly positive impact on the reservation wage. The overall impact of wealth on the Employment Probability is negative though small. Copyright 2001 by University of Chicago Press. (This abstract was borrowed from another version of this item.)

Marit V. Forslund - One of the best experts on this subject based on the ideXlab platform.

  • Employment Probability Trajectories Up To 10 Years After Moderate-To-Severe Traumatic Brain Injury
    Frontiers in Neurology, 2018
    Co-Authors: Emilie I. Howe, Nada Andelic, Paul B. Perrin, Cecilie Røe, Solrun Sigurdardottir, Juan Carlos Arango-lasprilla, Marianne Løvstad, Marit V. Forslund
    Abstract:

    Aims: To examine trajectories of Employment Probability up to 10 years following moderate-to-severe traumatic brain injury (TBI) and identify significant predictors from baseline socio-demographic and injury characteristics. Methods: A longitudinal observational study followed 97 individuals with moderate-to-severe TBI for their Employment status up to 10 years post injury. Participants were enrolled at the Trauma Referral Center in South-Eastern Norway between 2005 and 2007. Socio-demographic and injury characteristics were recorded at baseline. Employment outcomes were assessed at 1, 2, 5, and 10 years. Hierarchical linear modeling (HLM) was used to examine Employment status over time and assess the predictors of time, gender, age, relationship status, education, Employment pre-injury, occupation, cause of injury, acute Glasgow Coma Scale (GCS) score, duration of post-traumatic amnesia (PTA), CT findings, and injury severity score, as well as the interaction terms between significant predictors and time. Results: The linear trajectory of Employment probabilities for the full sample remained at ~50% across 1, 2, 5, and 10-years post-injury. Gender (p = 0.016), relationship status (p = 0.002), Employment (p < 0.001) and occupational status at injury (p = 0.005), and GCS (p = 0.006) yielded statistically significant effects on Employment Probability trajectories. Male gender, those in a partnered relationship at the time of injury, individuals who had been employed at the time of injury, those in a white-collar profession, and participants with a higher acute GCS score had significantly higher overall Employment Probability trajectories across the four time points. The time*gender interaction term was statistically significant (p = 0.002), suggesting that Employment probabilities remained fairly stable over time for men, but showed a downward trend for women. The time*Employment at injury interaction term was statistically significant (p = 0.003), suggesting that Employment probabilities were fairly level over time for those who were employed at injury, but showed an upward trend over time for those who had been unemployed at injury. Conclusion: Overall Employment Probability trajectories remained relatively stable between 1 and 10 years. Baseline socio-demographic and injury characteristics were predictive of Employment trajectories. Regular follow-up is recommended for patients at risk of long-term unEmployment.

  • Multi-level modelling of Employment Probability trajectories and Employment stability at 1, 2 and 5 years after traumatic brain injury
    Brain Injury, 2014
    Co-Authors: Marit V. Forslund, Paul B. Perrin, Cecilie Røe, Solrun Sigurdardottir, Juan Carlos Arango-lasprilla, Nada Andelic
    Abstract:

    AbstractPrimary objectives: To examine trajectories of Employment Probability and stability over the first 5 years after traumatic brain injury (TBI) by using multi-level modelling and multinomial logistic regressions.Research design: A longitudinal cohort study.Methods and procedures: One hundred and five individuals with moderate-to-severe TBI who had been admitted to the Trauma Referral Centre for the Southeast region of Norway were followed up at 1, 2 and 5 years after the injury.Main outcomes and results: Employment status was dichotomized into employed and unemployed, while Employment stability was categorized into stably employed, unstably employed and unemployed at 1, 2 and 5 years after injury. Being single, unEmployment prior to injury, blue collar occupation, lower Glasgow Coma Scale (GCS) score at hospital admission and greater length of post-traumatic amnesia (PTA) were significantly associated with being unemployed at 1, 2 and 5 years post-injury. Further, younger patients, those with a lowe...

Michael Lechner - One of the best experts on this subject based on the ideXlab platform.

  • a microeconometric evaluation of the active labour market policy in switzerland
    The Economic Journal, 2002
    Co-Authors: Michael Gerfin, Michael Lechner
    Abstract:

    In the late 1990s, Switzerland introduced an ambitious active labour market policy (ALMP) encompassing several programmes. We evaluate their effects on the individual Employment Probability using unusually informative data from administrative records. Using a matching estimator for multiple programmes, we find positive effects for one particular programme unique to the Swiss ALMP. It consists of a wage subsidy for temporary jobs in the regular labour market that would otherwise not be taken up by the unemployed. We also find negative effects for traditional Employment programmes operated in sheltered labour markets. For training courses, the results are mixed.

  • a microeconometric evaluation of active labour market policy in switzerland
    2001
    Co-Authors: Michael Gerfin, Michael Lechner
    Abstract:

    In the second half of the 1990s Switzerland introduced an ambitious active labour market policy (ALMP) encompassing a variety of programmes. We evaluate the effects of these programmes on individual Employment Probability using unusually informative data originating from administrative records. Using a matching estimator for multiple programmes, we find positive effects for one particular programme that is a unique feature of the Swiss ALMP. It consists of a wage subsidy for temporary jobs in the regular labour market that would otherwise not be taken up by the unemployed. We also find negative effects for traditional Employment programmes operated in sheltered labour markets. For training courses the results are mixed.

Nada Andelic - One of the best experts on this subject based on the ideXlab platform.

  • Employment Probability Trajectories Up To 10 Years After Moderate-To-Severe Traumatic Brain Injury
    Frontiers in Neurology, 2018
    Co-Authors: Emilie I. Howe, Nada Andelic, Paul B. Perrin, Cecilie Røe, Solrun Sigurdardottir, Juan Carlos Arango-lasprilla, Marianne Løvstad, Marit V. Forslund
    Abstract:

    Aims: To examine trajectories of Employment Probability up to 10 years following moderate-to-severe traumatic brain injury (TBI) and identify significant predictors from baseline socio-demographic and injury characteristics. Methods: A longitudinal observational study followed 97 individuals with moderate-to-severe TBI for their Employment status up to 10 years post injury. Participants were enrolled at the Trauma Referral Center in South-Eastern Norway between 2005 and 2007. Socio-demographic and injury characteristics were recorded at baseline. Employment outcomes were assessed at 1, 2, 5, and 10 years. Hierarchical linear modeling (HLM) was used to examine Employment status over time and assess the predictors of time, gender, age, relationship status, education, Employment pre-injury, occupation, cause of injury, acute Glasgow Coma Scale (GCS) score, duration of post-traumatic amnesia (PTA), CT findings, and injury severity score, as well as the interaction terms between significant predictors and time. Results: The linear trajectory of Employment probabilities for the full sample remained at ~50% across 1, 2, 5, and 10-years post-injury. Gender (p = 0.016), relationship status (p = 0.002), Employment (p < 0.001) and occupational status at injury (p = 0.005), and GCS (p = 0.006) yielded statistically significant effects on Employment Probability trajectories. Male gender, those in a partnered relationship at the time of injury, individuals who had been employed at the time of injury, those in a white-collar profession, and participants with a higher acute GCS score had significantly higher overall Employment Probability trajectories across the four time points. The time*gender interaction term was statistically significant (p = 0.002), suggesting that Employment probabilities remained fairly stable over time for men, but showed a downward trend for women. The time*Employment at injury interaction term was statistically significant (p = 0.003), suggesting that Employment probabilities were fairly level over time for those who were employed at injury, but showed an upward trend over time for those who had been unemployed at injury. Conclusion: Overall Employment Probability trajectories remained relatively stable between 1 and 10 years. Baseline socio-demographic and injury characteristics were predictive of Employment trajectories. Regular follow-up is recommended for patients at risk of long-term unEmployment.

  • Multi-level modelling of Employment Probability trajectories and Employment stability at 1, 2 and 5 years after traumatic brain injury
    Brain Injury, 2014
    Co-Authors: Marit V. Forslund, Paul B. Perrin, Cecilie Røe, Solrun Sigurdardottir, Juan Carlos Arango-lasprilla, Nada Andelic
    Abstract:

    AbstractPrimary objectives: To examine trajectories of Employment Probability and stability over the first 5 years after traumatic brain injury (TBI) by using multi-level modelling and multinomial logistic regressions.Research design: A longitudinal cohort study.Methods and procedures: One hundred and five individuals with moderate-to-severe TBI who had been admitted to the Trauma Referral Centre for the Southeast region of Norway were followed up at 1, 2 and 5 years after the injury.Main outcomes and results: Employment status was dichotomized into employed and unemployed, while Employment stability was categorized into stably employed, unstably employed and unemployed at 1, 2 and 5 years after injury. Being single, unEmployment prior to injury, blue collar occupation, lower Glasgow Coma Scale (GCS) score at hospital admission and greater length of post-traumatic amnesia (PTA) were significantly associated with being unemployed at 1, 2 and 5 years post-injury. Further, younger patients, those with a lowe...