Universitat Pompeu Fabra, Barcelona GSE and FEDEA, Barcelona, Spain.
Eur J Health Econ. 2012 Aug;13(4):461-90. doi: 10.1007/s10198-011-0317-z. Epub 2011 May 17.
Understanding the factors that determine the type and amount of formal care is important for predicting use in the future and developing long-term policy. In this context, we jointly analyze the provision of care at both the extensive (choice of care) and the intensive margin (number of hours of care received). In particular, we estimate and test, for the first time in this area of research, a sample selection model with the particularities that the first step is a multinomial logit model and the hours of care is an interval variable. Our results support the complementary and task-specific models which evidence has been found in other countries. Furthermore, we obtain evidence of substitution between formal and informal care for the male, young, married and unmarried subsamples. Regarding the hours of care, we find significant biases in predicted hours of care when sample selection is not taken into account. For the whole sample, the average bias is 2.77% for total hours and 3.23% for formal care hours. However, biases can be much larger (up to 10-15%), depending on the subsample and the type of care considered.
了解决定正式护理类型和数量的因素对于预测未来的使用和制定长期政策非常重要。在这方面,我们共同分析了广泛(护理选择)和密集边际(护理接受的小时数)两个方面的护理提供情况。特别是,我们首次在该研究领域估计和测试了一个样本选择模型,该模型具有以下特点:第一步是多项逻辑回归模型,而护理小时数是区间变量。我们的结果支持互补和特定任务的模型,这在其他国家已经有了证据。此外,我们还为男性、年轻、已婚和未婚子样本发现了正式和非正式护理之间的替代关系。关于护理小时数,我们发现,如果不考虑样本选择,预测的护理小时数存在显著偏差。对于整个样本,总小时数的平均偏差为 2.77%,正式护理小时数的平均偏差为 3.23%。然而,根据子样本和考虑的护理类型,偏差可能会更大(高达 10-15%)。