Broadening Black and Hispanic Participation in Basic Economics Research

2010 ◽  
Author(s):  
William A. Darity, Jr. ◽  
Gregory N. Price ◽  
Rhonda V. Sharpe
Keyword(s):  
Economics Research

Book Reviews

2004 ◽  
Vol 54 (3) ◽  
pp. 387-397
Author(s):  
Mihály Laki ◽  
Beáta Huszka
Keyword(s):  
United Nations ◽  
Development Economics ◽  
International Economics ◽  
Small And Medium Enterprises ◽  
Transitional Economies ◽  
The United Nations ◽  
Medium Enterprises ◽  
Economics Research

R. J. McIntyre and B. Dallago (eds): Small and Medium Enterprises in Transitional Economies. Palgrave Macmillan in association with the United Nations University / World Institute for Development Economics Research, 2003, 259 pp. (Reviewed by Mihály Laki); S. S. Bhalla: Imagine There's No Country. Poverty, Inequality, and Growth in the Era of Globalisation. Washington, D.C.: Institute for International Economics, 2002, 248 pp. (Reviewed by Beáta Huszka)

Data science in economics: comprehensive review of advanced machine learning and deep learning methods

2020 ◽  
Author(s):  
Saeed Nosratabadi ◽  
Amir Mosavi ◽  
Puhong Duan ◽  
Pedram Ghamisi ◽  
Ferdinand Filip ◽  
...  
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Data Science ◽  
State Of The Art ◽  
Science Methods ◽  
Learning Models ◽  
Diverse Range ◽  
Hybrid Machine ◽  
Economics Research

This paper provides a state-of-the-art investigation of advances in data science in emerging economic applications. The analysis was performed on novel data science methods in four individual classes of deep learning models, hybrid deep learning models, hybrid machine learning, and ensemble models. Application domains include a wide and diverse range of economics research from the stock market, marketing, and e-commerce to corporate banking and cryptocurrency. Prisma method, a systematic literature review methodology, was used to ensure the quality of the survey. The findings reveal that the trends follow the advancement of hybrid models, which, based on the accuracy metric, outperform other learning algorithms. It is further expected that the trends will converge toward the advancements of sophisticated hybrid deep learning models.

scholarly journals The Changing Missions of Agricultural Economics Research

1973 ◽  
Vol 2 (2) ◽  
pp. 305-313
Author(s):  
Quentin M. West
Keyword(s):  
Agricultural Economics ◽  
Economic Research ◽  
The Past ◽  
Economics Research ◽  
Research Service

The Economic Research Service is in the midst of reorganization. For the past 1-1/2 years, ERS researchers and administrators have been working overtime to make sure that ERS research dovetails with today's priorities.

Progress in Economics Research. Volume 48

2021 ◽  
Keyword(s):  
Economics Research

Learning by doing: The challenge of engaging undergraduates in economics research

2017 ◽  
Vol 48 (4) ◽  
pp. 290-294 ◽  
Author(s):  
Smita Brunnermeier
Keyword(s):  
Learning By Doing ◽  
Economics Research

The Identification of Problems in Agricultural Economics Research

1960 ◽  
Vol 42 (5) ◽  
pp. 1459
Author(s):  
A. N. Halter
Keyword(s):  
Agricultural Economics ◽  
Economics Research

scholarly journals The future of health economics: The potential of behavioral and experimental economics

2015 ◽  
Vol 3 (1) ◽  
pp. 68-86 ◽  
Author(s):  
Fredrik Hansen ◽  
Anders Anell ◽  
Ulf-G Gerdtham ◽  
Carl Hampus Lyttkens
Keyword(s):  
Health Care ◽  
Health Economics ◽  
Experimental Economics ◽  
Health Care Organizations ◽  
Health Care Systems ◽  
Income Levels ◽  
Care Systems ◽  
Changing Demographics ◽  
Demand For Health ◽  
Economics Research

Health care systems around the globe are facing great challenges. The demand for health care is increasing due to the continuous development of new medical technologies, changing demographics, increasing income levels, and greater expectations from patients. The possibilities and willingness to expand health care resources, however, are limited. Consequently, health care organizations are increasingly required to take economic restrictions into account, and there is an urgent need for improved efficiency. It is reasonable to ask whether the health economics field of today is prepared and equipped to help us meet these challenges. Our aim with this article is twofold: to introduce the fields of behavioral and experimental economics and to then identify and characterize health economics areas where these two fields have a promising potential. We also discuss the advantages of a pluralistic view in health economics research, and we anticipate a dynamic future for health economics.Published: Online May 2015. In print December 2015.

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