Natural experiments

A natural experiment is an empirical study in which the experimental conditions (i.e., which units receive which treatment) are determined by nature or by other factors out of the control of the experimenters and yet the treatment assignment process is arguably exogenous or "as-if random." Thus, natural experiments are observational studies and are not controlled in the traditional sense of a randomized experiment. Natural experiments are most useful when there has been a clearly defined and large change in the treatment (or exposure) to a clearly defined subpopulation (and no change to a comparable subpopulation), so that changes in responses may be plausibly attributed to the change in treatments (or exposure).[1][2]

Natural experiments are considered for study designs whenever controlled experimentation is difficult, such as in many problems in epidemiology and economics.[1][2]


One of the most famous early natural experiments was the 1854 Broad Street cholera outbreak in London, England.

On 31 August 1854, a major outbreak of cholera struck Soho. Over the next three days 127 people near Broad Street died. By the end of the outbreak 616 people died. The physician John Snow identified the source of the outbreak as the nearest public water pump, using a map of deaths and illness that revealed a cluster of cases around the pump.

In this example, Snow discovered a strong association between the use of the water and deaths and illnesses due to cholera. Snow found that the Southwark and Vauxhall Waterworks Company, which supplied water to districts with high attack rates, obtained the water from the Thames downstream from where raw sewage was discharged into the river. By contrast, districts that were supplied water by the Lambeth Waterworks Company, which obtained water upstream from the points of sewage discharge, had low attack rates. Given the near-haphazard patchwork development of the water supply in mid-Nineteenth Century London, Snow viewed the developments as "an experiment...on the grandest scale."[3] Of course, the exposure to the polluted water was not under the control of any scientist. Therefore, this exposure has been recognized as being a natural experiment.[4][5]

Recent examples

Family size

In Angrist and Evans (1998), the authors wish to estimate the effect of family size on the labor market outcomes of the mother.[6] The correlations between family size and various outcomes do not tell us how family size causally affects labor market outcomes because both labor market outcomes and family size may be affected by unobserved variables such as preferences and because labor market outcomes may itself affect family size (called "reverse causality", for example, a woman may defer having a child if she gets a raise at work). The study notes that two-children families with either two boys or two girls are substantially more likely to have a third child than two-children families with one boy and one girl. The sex of the first two children, then, forms a natural experiment: it is as if an experimenter has randomly assigned some families to have two children and others to have three or more. The authors are then able to credibly estimate the causal effect of having a third child on labor market outcomes.

Game shows

Within economics, game shows are a frequently studied form of natural experiment. While game shows might seem as artificial contexts, they can be considered as natural experiment due to the fact that the context arises without interference of the scientist. Game shows have been used to study a wide range of different types of economic behavior, such as decision making under risk[7] and cooperative behavior.[8]

Smoking ban

An example of a natural experiment occurred in Helena, Montana during the six-month period from June 2002 to December 2002 when a smoking ban was in effect in all public spaces in Helena including bars and restaurants. Helena is geographically isolated and served by only one hospital. It was observed that the rate of heart attacks dropped by 60% while the smoking ban was in effect. Opponents of the law prevailed in getting the enforcement of the law suspended after six months, after which the rate of heart attacks went back up.[9] Note, however, that while this may have been a good example of a natural experiment (called a case-crossover experiment, where the exposure is removed for a time period and then returned), it is also a good example of how confounding variables can result in faulty conclusions being made. For instance, many smoking ban-heart attack studies fail to indicate that heart attack rates were already on the decline before the smoking ban was in place, or fail to take into account seasonal fluxes in heart attacks (highest in the winter months and lowest in the summer). For the Helena study in particular, the claim that 40% of pre-ban heart attacks were caused by passive smoking is not believable, considering that only 10-15% of coronary heart disease cases are thought to be caused by active smoking.[10]

Nuclear weapons testing

Nuclear weapons testing released large quantities of radioactive isotopes into the atmosphere, some of which could be incorporated into biological tissues. The release stopped after the Partial Nuclear Test Ban Treaty in 1963, which prohibited atmospheric nuclear tests. This resembled a large-scale pulse-chase experiment, but could not have been performed as a regular experiment in humans due to scientific ethics. Several types of observations were made possible (in people born before 1963), such as determination of the rate of replacement for cells in different human tissues.

Vietnam War draft

An important question in economics is what determines earnings. Angrist (1990) was interested to know the effects of military service on lifetime earnings. The study leveraged the approximate random assignment of the Vietnam War draft lottery as an instrumental variable for whether a given individual served in the military. Because many factors might predict whether someone serves in the military, the draft lottery provides a natural experiment whereby those drafted into the military can be compared against those not drafted because the two groups should not differ substantially prior to military service. Angrist finds that the earnings of veterans are significantly lower (approximately 15 percent less) than those of non-veterans.[11]

See also


  • Cambridge University Press.

This article was sourced from Creative Commons Attribution-ShareAlike License; additional terms may apply. World Heritage Encyclopedia content is assembled from numerous content providers, Open Access Publishing, and in compliance with The Fair Access to Science and Technology Research Act (FASTR), Wikimedia Foundation, Inc., Public Library of Science, The Encyclopedia of Life, Open Book Publishers (OBP), PubMed, U.S. National Library of Medicine, National Center for Biotechnology Information, U.S. National Library of Medicine, National Institutes of Health (NIH), U.S. Department of Health & Human Services, and, which sources content from all federal, state, local, tribal, and territorial government publication portals (.gov, .mil, .edu). Funding for and content contributors is made possible from the U.S. Congress, E-Government Act of 2002.
Crowd sourced content that is contributed to World Heritage Encyclopedia is peer reviewed and edited by our editorial staff to ensure quality scholarly research articles.
By using this site, you agree to the Terms of Use and Privacy Policy. World Heritage Encyclopedia™ is a registered trademark of the World Public Library Association, a non-profit organization.