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This document analyzes the impact of COVID-19 on real estate markets in California, focusing on house price dynamics before and after the pandemic. The study employs a city-level panel of housing
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Petersen EPJ Data Science refers to a specific dataset or methodology used in data science that is associated with the research and academic outputs published in the European Physical Journal (EPJ), focusing on advancements in data science.
Researchers, scientists, and institutions involved in data science research and contributing to the European Physical Journal are typically required to file Petersen EPJ Data Science.
To fill out Petersen EPJ Data Science, one typically needs to follow the submission guidelines provided by the European Physical Journal, which include data formatting, citation standards, and required documentation.
The purpose of Petersen EPJ Data Science is to facilitate the dissemination of significant research findings, encourage collaborative efforts in the field of data science, and to ensure that data is shared in an open and reproducible manner.
The information that must be reported includes the research methodology, data sources, analytical techniques employed, results obtained, and conclusions drawn, along with proper citations and acknowledgments.
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