Collective Sentiment in Qualitative Business Surveys∗
نویسندگان
چکیده
Aggregated qualitative survey data provide timely, but often imperfect, macroeconomic indicators. Exploiting a unique panel dataset for the UK, which contains matched firm-level responses from both qualitative and quantitative surveys, we find that firms’ responses are influenced not only by their own current and past output and lagged qualitative responses but also by an indicator of aggregate response. We interpret the latter as showing that firms’ answers reflect collective sentiment as well as individual experience. Collective sentiment is shown to have a substantial impact on the summary statistics conventionally used to represent the results of the survey. JEL Codes C01, C23, C81
منابع مشابه
Sentiment Shock and Stock Price Bubbles in a Dynamic Stochastic General Equilibrium Model Framework: The Case of Iran
In this study, a model of Bayesian Dynamic Stochastic General Equilibrium (DSGE) from Real Business Cycles (RBC) approach with the aim of identifying the factors shaping price bubbles of Tehran Stock Exchange (TSE) was specified. The above-mentioned model was conducted in two scenarios. In the first scenario, the baseline model with sentiment shock was examined. In this model, stock price bubbl...
متن کاملDenoised least squares forecasting of GDP changes using indexes of consumer and business sentiment
Several studies in the economic literature have examined the usefulness of leading indicators in forecasting GDP changes. The two main sources of information used in this direction are (a) indexes of consumer and business sentiment and (b) monetary and financial data. Consumer and business sentiment indexes are based on sample surveys conducted by both national statistical services and industry...
متن کاملSentiment Analysis in MOOC Discussion Forums: What does it tell us?
Sentiment analysis is one of the great accomplishments of the last decade in the field of Language Technologies. In this paper, we explore mining collective sentiment from forum posts in a Massive Open Online Course (MOOC) in order to monitor students’ trending opinions towards the course and major course tools, such as lecture and peer-assessment. We observe a correlation between sentiment rat...
متن کاملUsing Sentiment Analysis to Detect Customer Attitudes in Social Media Comments
ig data analytics is increasingly replacing or complementing classical data collection methods like surveys. Business intelligence tools and systems now play a key role in decision-making and find applications in the areas such as customer profiling, customer support, market research, segmentation, brand monitoring. Transforming unstructured text data for structured quantitative analysis is an ...
متن کاملText Analytics of Customers on Twitter: Brand Sentiments in Customer Support
Brand community interactions and online customer support have become major platforms of brand sentiment strengthening and loyalty creation. Rapid brand responses to each customer request though inbound tweets in twitter and taking proper actions to cover the needs of customers are the key elements of positive brand sentiment creation and product or service initiative management in the realm of ...
متن کامل