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Internal and External Validity in Economics Research: Tradeoffs between Experiments, Field Experiments, Natural Experiments, and Field Data
Author(s) -
Roe Brian E.,
Just David R.
Publication year - 2009
Publication title -
american journal of agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.949
H-Index - 111
eISSN - 1467-8276
pISSN - 0002-9092
DOI - 10.1111/j.1467-8276.2009.01295.x
Subject(s) - session (web analytics) , citation , library science , operations research , field (mathematics) , management , economics , computer science , engineering , mathematics , world wide web , pure mathematics
In the realm of empirical research, investigators are first and foremost concerned with the validity of their results, but validity is a multi-dimensional ideal. In this article we discuss two key dimensions of validity - internal and external validity - and underscore the natural tension that arises in choosing a research approach to maximize both types of validity. We propose that the most common approaches to empirical research - the use of naturally-occurring field/market data and the use of laboratory experiments - fall on the ends of a spectrum of research approaches, and that the interior of this spectrum includes intermediary approaches such as field experiments and natural experiments. Furthermore, we argue that choosing between lab experiments and field data usually requires a tradeoff between the pursuit of internal and external validity. Movements toward the interior of the spectrum can often ease the tension between internal and external validity but are also accompanied by other important limitations, such as less control over subject matter or topic areas and a reduced ability for others to replicate research. Finally, we highlight recent attempts to modify and mix research approaches in a way that eases the natural conflict between internal and external validity and discuss if employing multiple methods leads to economies of scope in research costs.