Chapter 7 Forestalling the demise of empirical economics: The role of microdata in labor economics research

1986 ◽  
pp. 387-423 ◽  
Author(s):  
Frank Stafford
Keyword(s):  
Labor Economics ◽  
Empirical Economics ◽  
Economics Research

Benfordʼs Law and Fraud in Economic Research

Benford's Law ◽  
2015 ◽  
Author(s):  
Karl-Heinz Tödter
Keyword(s):  
Scientific Misconduct ◽  
Economic Research ◽  
Benford’S Law ◽  
Empirical Economics ◽  
Benford's Law ◽  
Published Research ◽  
Economics Research

This chapter reviews applications of Benford's law to uncover fraud in macroeconomic data, forecasts, and econometric regression results, as Benford's law provides tools for checking reliability and detecting fraud in science and academia. Scientific misconduct appears in various forms: fabrication, falsification, and plagiarism. Replication is considered the prime strategy against scientific misconduct, but it is seldom performed in empirical economics. Regardless, the potential of Benford's law to enhance the efficiency of replication as a strategy against fraud in published research is discussed in this chapter. In addition, the chapter remarks that routine applications of Benford tests could uncover data anomalies and provide valuable hints of irregularities in empirical economics research.

The Price of Experience

2015 ◽  
Vol 105 (2) ◽  
pp. 784-815 ◽  
Author(s):  
Hyeok Jeong ◽  
Yong Kim ◽  
Iourii Manovskii
Keyword(s):  
Life Cycle ◽  
Labor Economics ◽  
Age Groups ◽  
Demographic Changes ◽  
Cross Sectional ◽  
Empirical Regularities ◽  
Active Research ◽  
Education Groups ◽  
College Premium

We identify a key role of factor supply, driven by demographic changes, in shaping several empirical regularities that are a focus of active research in macro and labor economics. In particular, demographic changes alone can account for the large movements of the return to experience over the last four decades, for the differential dynamics of the age premium across education groups emphasized by Katz and Murphy (1992), for the differential dynamics of the college premium across age groups emphasized by Card and Lemieux (2001), and for the changes in cross-sectional and cohort-based life-cycle profiles emphasized by Kambourov and Manovskii (2005). (JEL D91, E24, I23, J11, J24, J31)

scholarly journals Agricultural Economics Research and The Experiment Station System

1987 ◽  
Vol 19 (2) ◽  
pp. 195-201
Author(s):  
David L. Debertin ◽  
Garnett L. Bradford
Keyword(s):  
Social Sciences ◽  
Biological Sciences ◽  
Agricultural Economics ◽  
Land Grant University ◽  
University System ◽  
Experiment Station ◽  
The Social ◽  
Colleges Of Agriculture ◽  
Economics Research

AbstractThis paper discusses the role of agricultural economics research within the land-grant university system. Fundamental differences between research in the biological sciences and the social sciences are delineated. Implications of these differences for experiment station research programs are discussed. Recommendations are made which have potential for enhancing the role of agricultural economics within colleges of agriculture.

Sign in / Sign up

Export Citation Format

Share Document