Macroeconomic impacts of increasing the minimum wage: The case of Korea

Seok, Byoung Hoon; You, Hye Mi

doi:10.1016/j.econmod.2022.105880

Cited by 7 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method is a much-awaited in labor market like South Korea, where the hiring of qualified healthcare provider is expensive and scarce. For the last decade in South Korea, there has been a steep growth in wages with the minimum wage almost doubling [ 12 ], and that of the healthcare providers are no exception [ 13 ]. In addition, the “Act on the Improvement of Training Conditions and Status of Medical Residents” was enacted in 2015, restricting the working hours of medical residents [ 14 ].…”

Section: Discussionmentioning

confidence: 99%

Developing prompts from large language model for extracting clinical information from pathology and ultrasound reports in breast cancer

Choi,

Song,

Shin

et al. 2023

Radiat Oncol J

View full text Add to dashboard Cite

Purpose: We aimed to evaluate the time and cost of developing prompts using large language model (LLM), tailored to extract clinical factors in breast cancer patients and their accuracy.Materials and Methods: We collected data from reports of surgical pathology and ultrasound from breast cancer patients who underwent radiotherapy from 2020 to 2022. We extracted the information using the Generative Pre-trained Transformer (GPT) for Sheets and Docs extension plugin and termed this the “LLM” method. The time and cost of developing the prompts with LLM methods were assessed and compared with those spent on collecting information with “full manual” and “LLM-assisted manual” methods. To assess accuracy, 340 patients were randomly selected, and the extracted information by LLM method were compared with those collected by “full manual” method.Results: Data from 2,931 patients were collected. We developed 12 prompts for Extract function and 12 for Format function to extract and standardize the information. The overall accuracy was 87.7%. For lymphovascular invasion, it was 98.2%. Developing and processing the prompts took 3.5 hours and 15 minutes, respectively. Utilizing the ChatGPT application programming interface cost US $65.8 and when factoring in the estimated wage, the total cost was US $95.4. In an estimated comparison, “LLM-assisted manual” and “LLM” methods were time- and cost-efficient compared to the “full manual” method.Conclusion: Developing and facilitating prompts for LLM to derive clinical factors was efficient to extract crucial information from huge medical records. This study demonstrated the potential of the application of natural language processing using LLM model in breast cancer patients. Prompts from the current study can be re-used for other research to collect clinical information.

show abstract

Section: Discussionmentioning

confidence: 99%

Developing prompts from large language model for extracting clinical information from pathology and ultrasound reports in breast cancer

Choi,

Song,

Shin

et al. 2023

Radiat Oncol J

View full text Add to dashboard Cite

show abstract

The green halo effect of China’s OFDI: evidence from countries along the Belt and Road

Cai

Zhao

et al. 2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

The growth of China’s OFDI (outward foreign direct investment) is a unique feature of the “Belt and Road” project. Does China’s OFDI have a green halo effect on countries along the Belt and Road (B&R)? Is this green halo effect somehow asymmetrical? What is the underlying mechanism? This paper systematically examines how China’s OFDI exerts its influence on green technology spillovers, based on 56 B&R countries’ 2003–2019 panel data. This study makes three significant findings: Firstly, China’s OFDI has positive asymmetric characteristics in promoting green technology spillovers to host countries mentioned, which have lower income levels and openness. Secondly, strict relative environmental regulation can act as a “pressure pool,” significantly enhancing the “green halo effect”; Thirdly, China’s OFDI can help host countries obtain more green technology spillovers through three channels: expanding host countries’ economic scale, upgrading host countries’ industrial structure, and suppressing host countries’ use of non-renewable energy. These findings point the way for 56 host countries to better accessing green technology spillovers.

show abstract

Do minimum wages deliver what they promise? Effects of minimum wage on employment, output, and income inequality from occupational choice theory

Medrano-Adan

Salas‐Fumás

2023

Economic Analysis and Policy

View full text Add to dashboard Cite

Macroeconomic impacts of increasing the minimum wage: The case of Korea

Cited by 7 publications

References 15 publications

Developing prompts from large language model for extracting clinical information from pathology and ultrasound reports in breast cancer

Developing prompts from large language model for extracting clinical information from pathology and ultrasound reports in breast cancer

The green halo effect of China’s OFDI: evidence from countries along the Belt and Road

Do minimum wages deliver what they promise? Effects of minimum wage on employment, output, and income inequality from occupational choice theory

Contact Info

Product

Resources

About