.png){kind=icon}
.png){kind=icon}
Return
Nowcasting and Predicting Data Revisions Using Panel Survey Data
.png){kind=icon}
PRE
AI
DOI：10.1002/for.1127.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The qualitative responses that firms give to business survey questions regarding, changes in their own output provide a real-time signal of official output changes. The most commonly used method to produce an aggregate quantitative indicator from business survey responses-the net balance or diffusion index-has changed little in 40 years. This paper investigates whether in improved real-time signal of official Output data changes can be derived from a recently advanced method on the aggregation of survey data from panel responses. We find, in a New Zealand application, that exploiting the panel dimension to qualitative Survey data gives a better in-sample signal about official data than traditional methods. out-of-sample, it is less clear that it matters how Survey data are quantified, with simpler and more parsimonious methods hard to improve. It is clear, nevertheless, that survey data, exploited in some form, help to explain revisions to official data. Copyright (C) 2009 John Wiley & Sons, Ltd.
Keywords:
nowcasting
qualitative business survey
quantification
real-time data
panel data
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
2.7
Papers:
2.3K
Citations:
3.0K
