Does the Retirement Consumption Puzzle Differ Across the Distribution?
March 2011
Working Paper Number:
CES-11-09R
Abstract
Document Tags and Keywords
Keywords
Keywords are automatically generated using KeyBERT, a powerful and innovative
keyword extraction tool that utilizes BERT embeddings to ensure high-quality and contextually relevant
keywords.
By analyzing the content of working papers, KeyBERT identifies terms and phrases that capture the essence of the
text, highlighting the most significant topics and trends. This approach not only enhances searchability but
provides connections that go beyond potentially domain-specific author-defined keywords.
:
expenditure,
retirement,
consumption,
spending,
consumer,
wealth,
percentile,
expense,
saving,
retiree
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several tasks, including entity tagging.
The model is able to label words and phrases by part-of-speech,
including "organizations." By filtering for frequent words and phrases labeled as "organizations", papers are
identified to contain references to specific institutions, datasets, and other organizations.
:
Ordinary Least Squares,
Department of Economics,
Chicago Census Research Data Center,
Health and Retirement Study,
PSID
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