Over the last decade, research on labor market adjustment following local demand shocks has expanded to explore a wide variety of measured shocks. However, the worker adjustments observed in response to these shocks are not always consistent across studies. We create a harmonized set of annual commuting-zone-level shocks following the major approaches in the literature to investigate these differences. As one might expect, shocks of different types exhibit different geographic and temporal patterns and are generally weakly correlated with each other. We find they also generate different employment and migration responses, with trade-related shocks showing little response on either margin, while more general Bartik-style shocks are associated with economically meaningful changes in both employment and migration.
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KeywordsKeywords 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.
:
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.
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Similar Working Papers
Similarity between working papers are determined by an unsupervised neural
network model
know as Doc2Vec.
Doc2Vec is a model that represents entire documents as fixed-length vectors, allowing for the
capture of semantic meaning in a way that relates to the context of words within the document. The model learns to
associate a unique vector with each document while simultaneously learning word vectors, enabling tasks such as
document classification, clustering, and similarity detection by preserving the order and structure of words. The
document vectors are compared using cosine similarity/distance to determine the most similar working papers.
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The 10 most similar working papers to the working paper 'A Shock by Any Other Name? Reconsidering the Impacts of Local Demand Shocks'
are listed below in order of similarity.
What is CREAT?
Overview
The Census Research Exploration and Analysis Tool is a data
tool from the Center for Economic Studies (CES) at the US Census Bureau that uses natural
language processing and artificial intelligence tools to analyze, categorize, and sort the
economic research contained in the CES working paper series. The goal of this
project is to help CES researchers, managers, and other internal stakeholders explore
connections among existing research, form new collaborations, and separate research into
discrete topics. Working papers are sortable by author, tag, and keyword. For more
information, see the CREAT one-pager.
Keywords and Tags
Keywords and tags are automatically extracted from the text of the working papers. Keywords are
either one or two words, and are extracted to most closely match the research paper as a whole.
Tags are institutions, datasets, and other proper nouns that occur with relative frequency
among all working papers. Due to the automatic extraction, accuracy is not guaranteed.
Authors
Authors are extracted from the paper and automatically matched using fuzzy matching to ensure
that different forms of the same authors are consolidated, e.g., middle initial, title, etc.