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The Impact of Increased Access to Telemedicine
Zeltzer, Dan; Einav, Liran; Rashba, Joseph; Balicer, Ran D. - National Bureau of Economic Research - 2021
We estimate the impact of increased access to telemedicine that followed widespread adoption during the March … by a temporary return to normalcy. Prior to the lockdown, telemedicine accounted for about 5% of all primary care visits … and low access to telemedicine, with access defined based on their main primary care physician's propensity to adopt …
Persistent link: https://www.econbiz.de/10012599268
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Mortality Effects of Healthcare Supply Shocks : Evidence Using Linked Deaths and Electronic Health Records
Ziedan, Engy; Simon, Kosali Ilayperuma; Wing, Coady - National Bureau of Economic Research - 2022
from care, and a cascade of delayed or missed follow-up care that lasted for about 3 months. Healthcare spending accounted …
Persistent link: https://www.econbiz.de/10013435115
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Investment Subsidies and the Adoption of Electronic Medical Records in Hospitals
Dranove, David - 2014
In February 2009 the U.S. Congress unexpectedly passed the Health Information Technology for Economic and Clinical Health Act (HITECH). HITECH provides up to $27 billion to promote adoption and appropriate use of Electronic Medical Records (EMR) by hospitals. We measure the extent to which...
Persistent link: https://www.econbiz.de/10012458112
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Health Information Technology and Patient Outcomes : The Role of Organizational and Informational Complementarities
McCullough, Jeffrey S. - 2013
Health information technology (IT) adoption, it is argued, will dramatically improve patient care. We study the impact of hospital IT adoption on patient outcomes focusing on the roles of technological and organizational complements in affecting IT's value and explore underlying mechanisms...
Persistent link: https://www.econbiz.de/10012459958
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The Structure of Economic News
Bybee, Leland - 2020
We propose an approach to measuring the state of the economy via textual analysis of business news. From the full text content of 800,000 Wall Street Journal articles for 1984{2017, we estimate a topic model that summarizes business news as easily interpretable topical themes and quantifies the...
Persistent link: https://www.econbiz.de/10012479172
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Technology and Big Data Are Changing Economics : Mining Text to Track Methods
Currie, Janet - 2020
The last 40 years have seen huge innovations in computing technology and data availability. Data derived from millions of administrative records or by using (as we do) new methods of data generation such as text mining are now common. New data often requires new methods, which in turn can...
Persistent link: https://www.econbiz.de/10012479239
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Predicting Returns With Text Data
Ke, Zheng Tracy - 2019
We introduce a new text-mining methodology that extracts sentiment information from news articles to predict asset returns. Unlike more common sentiment scores used for stock return prediction (e.g., those sold by commercial vendors or built with dictionary-based methods), our supervised...
Persistent link: https://www.econbiz.de/10012480131
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Combining Family History and Machine Learning to Link Historical Records
Price, Joseph - 2019
A key challenge for research on many questions in the social sciences is that it is difficult to link historical records in a way that allows investigators to observe people at different points in their life or across generations. In this paper, we develop a new approach that relies on millions...
Persistent link: https://www.econbiz.de/10012480171
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Machine Learning for Solar Accessibility : Implications for Low-Income Solar Expansion and Profitability
Davuluri, Sruthi - 2019
The solar industry in the US typically uses a credit score such as the FICO score as an indicator of consumer utility payment performance and credit worthiness to approve customers for new solar installations. Using data on over 800,000 utility payment performance and over 5,000 demographic...
Persistent link: https://www.econbiz.de/10012480230
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IQ from IP : Simplifying Search in Portfolio Choice
Chen, Huaizhi - 2018
Using a novel database that tracks web traffic on the SEC's EDGAR servers between 2004 and 2015, we show that mutual fund managers gather information on a very particular subset of firms and insiders, and their surveillance is very persistent over time. This tracking behavior has powerful...
Persistent link: https://www.econbiz.de/10012452920