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Estimating addicts' price response of heroin: A panel data approach based on re-interviewed sample

机译:估计吸毒成瘾者对海洛因的价格反应:基于重新采访样本的面板数据方法

摘要

Drug abuse inflicts considerable harm on users, non-using persons and on society, and a variety of means to curtail consumption of illegal drugs have been adopted. The consumption of drugs differ from consumption of most other goods in that it involves addiction. Inter-temporal models are needed to encompass this aspect. The data for this study have been collected through interviews with heroin injectors attending a needle exchange service in Oslo, and the respondents have undergone a second interview about one year after the first. Four regression models will be considered: two are static panel data models and two are cross-section models with lagged or leaded drug consumption as additional regressors. Each model comes in two versions, one for non-dealers and one for dealers of heroin. Despite our relatively small sample, we obtain negative and statistically significant price responses and positive and significant income responses for nearly all the models and specifications applied. The results from the two classes of models reflect the same picture although the absolute values of the elasticities vary. For the price elasticity, dealers obtain values in the range of [-0.25, -1.55] and non-dealers in the range of [- 0.72, -1.83]. Somewhat surprisingly, we obtain low estimates for the habit component in the panel data model, but higher for non-dealers than for dealers.
机译:滥用毒品给使用者,不使用者和社会造成巨大伤害,并且已经采取了各种减少非法毒品消费的手段。毒品的消费与大多数其他商品的消费不同,因为它涉及成瘾。需要跨时域模型来涵盖此方面。该研究的数据是通过与在奥斯陆参加针头更换服务的海洛因注射者的访谈而收集的,并且受访者在第一次访谈后约一年进行了第二次访谈。将考虑四个回归模型:两个是静态面板数据模型,两个是横截面模型,其中滞后或含铅药物消费为其他回归变量。每种型号都有两种版本,一种用于非经销商,一种用于海洛因经销商。尽管我们的样本量相对较小,但对于几乎所有应用的模型和规格,我们都获得了负的和具有统计意义的价格响应以及正的和显着的收入响应。尽管弹性的绝对值有所不同,但两类模型的结果反映了相同的图像。对于价格弹性,交易商获得的值在[-0.25,-1.55]范围内,非经销商的交易在[-0.72,-1.83]范围内。令人惊讶的是,我们在面板数据模型中获得的习惯成分估计值较低,但非交易者的估计值高于经销商。

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