论文标题
文本作为数据：实时衡量经济福利
Text as Data: Real-time Measurement of Economic Welfare
论文作者
论文摘要
经济学家对使用文本作为经济研究的投入表现出越来越多的兴趣。在这里，我们分析在线文本以构建福利的实时指标。出于描述的目的，我们将其称为感觉良好因素（FGF）。用于说明这一概念的特定示例仅限于伦敦地区的数据，但是该方法很容易被其他地理区域推广。 FGF说明了使用在线数据创建的福利量度，该福利量度不是像GDP一样基于市场为导向的经济中添加的增值。已经有大量的文献来衡量福祉/幸福。但这取决于常规调查方法，因此依赖于受访者的既定偏好。在非结构化的在线媒体文本中，用户以类似于消费者需求理论的偏爱原则的方式揭示了自己的情绪。在线媒体的分析比传统的基于调查的情感或福祉的措施具有进一步的优势。它可以实时进行，而不是与调查方法有关的滞后。此外，它便宜得多。
Economists are showing increasing interest in the use of text as an input to economic research. Here, we analyse online text to construct a real time metric of welfare. For purposes of description, we call it the Feel Good Factor (FGF). The particular example used to illustrate the concept is confined to data from the London area, but the methodology is readily generalisable to other geographical areas. The FGF illustrates the use of online data to create a measure of welfare which is not based, as GDP is, on value added in a market-oriented economy. There is already a large literature which measures wellbeing/happiness. But this relies on conventional survey approaches, and hence on the stated preferences of respondents. In unstructured online media text, users reveal their emotions in ways analogous to the principle of revealed preference in consumer demand theory. The analysis of online media offers further advantages over conventional survey-based measures of sentiment or well-being. It can be carried out in real time rather than with the lags which are involved in survey approaches. In addition, it is very much cheaper.
