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Alcohol use disorders and labor market outcomes: An analysis using 2001--2002 National Epidemiology Survey on Alcohol and Related Conditions.

机译:酒精使用障碍和劳动力市场结果:使用2001--2002年全国酒精和相关疾病流行病学调查进行的分析。

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摘要

Objective. The main focus of this research is to obtain the consistent estimates of the impact of alcohol use disorders on labor market outcomes. This also examines to what extent performance of individuals with alcohol use disorders (alcohol abuse and dependence) differ from abstainers and individuals who had no alcohol use disorders (ex-drinkers, ex-abuser/dependents, new-drinkers, and ex-new-drinkers) in terms two labor market outcomes: the probability of full time work participation and annual earnings (annual personal income).;Research design and methods. The estimation strategies are as follows. First, using the NESARC 2001-02 survey sample of 43,093, I estimate a Logit model by the Maximum Likelihood Estimation (MLE) method where the dependent variable is an indicator variable (LFPFULL) for full-time labor force participation (Chapter 3, Section 3.1). Second, using a sample of 21406 (the observations for individuals who had job), I estimate a model with the logarithm of annual earnings (LINCOME) by the Ordinary Least Square (OLS) method. In these estimations, I include a set of explanatory variables: six binary variables to indicate alcohol use status (see Tables 2A and 2B), and other binary variables for other personal and socio-demographic characteristics (see Table 4), such as individual's age, gender, race, marital status, education level, health status, location (whether individual lived in a central city or not), other source of income, and work related characteristics (industry type). Third, I perform formal tests to detect the existence of potential problems in estimations, the endogeneity and heteroscedasticity in the sample. The estimation strategy (appropriate estimation method) to address endogeneity is required to consider the potential presence of heteroscedasticity in the sample since the sample set is cross-sectional (see details in Chapter 3, section 3.2). Fourth, as the statistical tests confirmed the existence of both problems (endogeneity and heteroscedasticity) in current estimation, I re-estimate labor market outcome equations by addressing endogeneity and heteroscedasticity using GMM-IV method (proposed by Baum et al: 2003, Amemiya: 1985 and Foster: 1997).;Results. As the statistical tests confirmed the endogeneity of alcohol use related variables and the presence of heteroscedasticity in the sample, the estimation by applying GMM-IV are expected to produce consistent and efficient estimate compared to baseline estimates (from the MLE and OLS) which do not address the endogeneity and heteroscedasticity problems. Thus, the estimated results by MLE and OLS methods could be biased and not reliable. The followings are the key results of GMM-IV estimations.;The key result of GMM-IV regression of LFPFULL is that the marginal effects for alcohol abuse and alcohol dependent are -0.38 and -0.04 respectively (though not significant), indicating that alcohol abusers and alcohol dependents have 38 percent and 4 percent less probability of being employed full-time respectively than life-time abstainers (base category), holding all other variables constant. The marginal effect of being ex-drinker on LFPFULL is negative (statistically significant) and consistent with expectation. Ex-drinkers have 43 percent less probability of being employed full-time than life-time abstainers (base category). The positive marginal effects of being exabuser/dependents, new drinkers and ex-new-drinkers on LFPFULL (not significant) are 11 percent, 45 percent and 2 percent respectively though not significant.;The key result of the GMM-IV regression of LINCOME is that the marginal effect for alcohol abuse on annual income is -112,057 (though not significant). It indicates that alcohol abusers earned ;Compared to GMM-IV estimates, the MLE (without addressing endogeneity and heteroscedasticity) underestimate the effects of alcohol use variables (represent by binary variables) and overestimate the effects of other socio-demographic variables on labor market variables, and the OLS (without addressing endogeneity and heteroscedasticity) underestimate the effects of all explanatory variables on labor market outcomes.;Conclusion. Some observed unexpected results should be treated with cautions considering the limitations of this research: there might be measurement errors in proxy earnings variable, there were data limitations on previous drinking record of individuals who had alcohol use disorders and some labor market information such as hours of work and loss of working hours (absence from the job) due to alcohol use. Besides these limitations, overall results are largely consistent with the results that observed in parallel labor and health economics literature and can be considered representative since this research used rich and nationally representative NESARC data source. The results of this study can be useful for policy and management research to face the challenges of having and maintaining productive and healthy work force. The results imply the necessity of adopting clear and well communicated policies concerning recruitment, monitoring, early prevention and access to effective treatment, and maintaining positive work environment. The results also imply that public or private policies addressing related issues of alcohol use and employment should take into account the fact that women react differently to the amount of alcohol consumption and their work decision also different than men. (Abstract shortened by UMI.)
机译:目的。这项研究的主要重点是获得对酒精使用障碍对劳动力市场结果影响的一致估计。这也检查了酒精滥用障碍者(戒酒和依赖)与戒酒者和没有酒精滥用障碍者(前饮者,前滥用者/家属,新饮者和新来者)的表现在多大程度上有所不同饮酒者)从两个劳动力市场的角度来看:全职工作的可能性和年收入(年个人收入)。研究设计和方法。估计策略如下。首先,我使用NESARC 2001-02调查样本43,093,通过最大似然估计(MLE)方法估计Logit模型,其中因变量是全职劳动力参与的指标变量(LFPFULL)(第3章,第2节) 3.1)。其次,我使用21406(对有工作的个人的观察)的样本,通过普通最小二乘(OLS)方法估算了具有年收入对数(LINCOME)的模型。在这些估算中,我包括一组解释性变量:六个用于表示饮酒状况的二元变量(请参见表2A和2B),以及其他针对个人和社会人口统计学特征的二元变量(请参见表4),例如个人年龄,性别,种族,婚姻状况,教育程度,健康状况,位置(个人是否居住在中心城市),其他收入来源以及与工作相关的特征(行业类型)。第三,我执行正式测试以检测估计中是否存在潜在问题,样本的内生性和异方差性。由于样本集是横截面的,因此需要考虑内生性的估计策略(适当的估计方法)来考虑样本中可能存在的异方差性(请参见第3章第3.2节的详细信息)。第四,由于统计检验证实了当前估计中同时存在两个问题(内生性和异方差性),因此我通过使用GMM-IV方法解决内生性和异方差性来重新估计劳动力市场结果方程(由Baum等人于2003年提出,Amemiya: 1985年和福斯特(Foster):1997年);结果。由于统计测试证实了与酒精使用相关的变量的内生性和样品中存在异方差,因此与不使用基准估计(来自MLE和OLS)相比,应用GMM-IV进行的估计有望产生一致且有效的估计。解决内生性和异方差问题。因此,通过MLE和OLS方法得出的估计结果可能存在偏差,并且不可靠。以下是GMM-IV估计的主要结果:LFPFULL的GMM-IV回归的主要结果是,酗酒和酒精依赖的边际效应分别为-0.38和-0.04(尽管不显着),表明酒精在保持所有其他变量不变的情况下,滥用者和酗酒者的全职工作机会分别比终身戒酒者(基本类别)少38%和4%。饮酒对LFPFULL的边际影响为负(统计显着),与预期相符。与终身戒酒者(基础类别)相比,戒酒者全职工作的可能性要低43%。过度食用/依赖,新饮酒者和新饮酒者对LFPFULL的积极边际影响(不显着)分别为11%,45%和2%,尽管不显着; LINCOME的GMM-IV回归的主要结果酒精滥用对年收入的边际影响是-112,057(尽管不显着)。它表明酗酒者已经获得;与GMM-IV估计相比,MLE(未解决内生性和异方差性)低估了酒精使用变量的影响(以二元变量表示),而高估了其他社会人口统计学变量对劳动力市场变量的影响,而OLS(未解决内生性和异方差性)低估了所有解释变量对劳动力市场结果的影响。考虑到本研究的局限性,应谨慎处理观察到的某些出乎意料的结果:代理收入变量中可能存在计量错误,酒精使用障碍患者的以前饮酒记录存在数据限制,以及一些劳动力市场信息(例如工作时间)饮酒导致工作和工作时间减少(无工作)。除了这些限制,总体结果在很大程度上与并行的劳动和卫生经济学文献中观察到的结果一致,并且可以被认为具有代表性,因为该研究使用了丰富的且具有全国代表性的NESARC数据源。这项研究的结果可用于政策和管理研究,以应对拥有和维持生产性和健康劳动力的挑战。结果表明有必要在招聘,监测,早期预防和获得有效治疗以及维持积极的工作环境方面采用清晰,沟通良好的政策。结果还暗示,解决酒精使用和就业相关问题的公共或私人政策应考虑到以下事实:女性对酒精消费量的反应不同,其工作决定也与男性不同。 (摘要由UMI缩短。)

著录项

  • 作者

    Jesmin, Shammima.;

  • 作者单位

    Wayne State University.;

  • 授予单位 Wayne State University.;
  • 学科 Economics Labor.;Health Sciences Epidemiology.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 138 p.
  • 总页数 138
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:36:43

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