부패와 사회복지정책에 관한 선행 실험연구를 통해 살펴본 실험연구 시 주의해야 할 다섯 가지 사항들
Five lessons for Experimenters from a Review of Experimental Studies on Corruption and Social Welfare
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초록
우리는 한국 사회과학계에서의 실험연구 활성화에 기여하고자 다음의 두 가지를 이 논문에서 수행한다. 첫째, 한국 연구자들이 관심가질 것이라 생각되는 부패와 사회복지 정책에 관한 실험 논문 10편을 소개한다. 둘째, 소개된 논문들을 활용하여, 실험연구 시 연구자들이 주의해야 할 다섯 가지 사항들에 대해서 논의한다. 이 사항들은 (1) 관찰대상의 평균적 특질들이 실험조건들 사이에서 차이가 없음을 경험적으로 확인하는 균형검사의 중요성, (2) 관찰대상에 대해서 의도된 실험적 조작이 이루어지지 못할 때 발생하는 비순응 문제, (3) 실험적 조작이 의도된 관찰대상이 아닌 다른 대상으로 확산되는 일명 확산효과의 문제, (4) 관찰대상이 연구자가 의도한 방식으로 실험적 조작을 받아들이는지 확인하는 조작검사의 중요성, 그리고 (5) 실험적 조작에 의해 영향 받았을 수 있는 변수가 통제변수로 사용될 때의 위험성 등이다.
Abstract
To promote experimental studies among social scientists in South Korea, we introduce 10 articles that experimentally study corruption and social welfare, of which the social scientists are expected to be interested. Utilizing the articles, we then discuss five issues to which the social scientists have to pay attention while conducting experimental studies. The issues are (1) the significance of balance tests to verify no differences in the average attributes of observational units between experimental conditions, (2) noncompliance issues that emerge as experimental manipulation on observational units fails, (3) spillover effects that concern the unintended exposure of observational units to experimental manipulation, (4) the importance of manipulation checks to verify that observational units took experimental manipulation in the manner intended by the experimenters, and (5) the inappropriateness of using as a control variable a factor that is likely to have been affected by experimental manipulation.
참고문헌 (39)
- Abbink, Klaus, "An experimental bribery game", Journal of Law, Economics, and Organization, 18(2), pp.428~454 (2002)
- Abbink, Klaus, "Letting the briber go free: an experiment on mitigating harassment bribes", Journal of Public Economics, 111, pp.17~28 (2014)
- Anduiza, Eva, "Turning a blind eye:Experimental evidence of partisan bias in attitudes toward corruption", Comparative Political Studies, 46(12), pp.1664~1692 (2013)
- Angelucci, Manuela, "Indirect effects of an aid program: how do cash transfers affect ineligibles’ consumption?", American Economic Review, 99(1), pp.486~508 (2009)
- Armantier, Olivier, "A controlled field experiment on corruption", European Economic Review, 55(8), pp.1072~1082 (2011)
- Aronow, Peter M, "A note on dropping experimental subjects who fail a manipulation check", Political Analysis, 27(4), pp.572~589 (2019)
- Bandiera, Oriana, "Active and passive waste in government spending: Evidence from a policy experiment", American Economic Review, 99(4), pp.1278~1308 (2009)
- Bandiera, Oriana, "Labor markets and poverty in village economies", The Quarterly Journal of Economics, 132(2), pp.811~870 (2017)
- Banerjee, Abhijit, ""A multifaceted program causes lasting progress for the very poor : Evidence from six countries", Science, 348(6236), pp.1260799~ (2015)
- Barr, Abigail, "The effects of externalities and framing on bribery in a petty corruption experiment", Experimental Economics, 12(4), pp.488~503 (2009)
- Bertrand, Marianne, "Obtaining a driver’s license in India: an experimental approach to studying corruption", The Quarterly Journal of Economics, 122(4), pp.1639~1676 (2007)
- Cappelen, Alexander. W, "Social preferences in the lab: A comparison of students and a representative population", The Scandinavian Journal of Economics, 117(4), pp.1306~1326 (2015)
- Cameron, Lisa, "Propensities to engage in and punish corrupt behavior: Experimental evidence from Australia, India, Indonesia and Singapore", Journal of Public Economics, 93(7-8), pp.843~851 (2009)
- Chong, Alberto, "Does corruption information inspire the fight or quash the hope? A field experiment in Mexico on voter turnout, choice, and party identification", The Journal of Politics, 77(1), pp.55~71 (2014)
- Cleave, Blair L, "Is there selection bias in laboratory experiments? The case of social and risk preferences", Experimental Economics, 16(3), pp.372~382 (2013)
- Druckman, James N, "Cambridge Handbook of Experimental Political Science", pp.41~57 (2011)
- Dubois, Pierre, "Effects on school enrollment and performance of a conditional cash transfer program in Mexico", Journal of Labor Economics, 30(3), pp.555~589 (2012)
- Falk, Armin, "Lab experiments are a major source of knowledge in the social sciences", Science, 326(5952), pp.535~538 (2009)
- Falk, Armin, "Do lab experiments misrepresent social preferences? The case of self-selected student samples", Journal of the European Economic Association, 11(4), pp.839~852 (2013)
- Fisman, Raymond, "Tax rates and tax evasion: Evidence from “Missing imports” in China", Journal of Political Economy, 112(2), pp.471~496 (2004)
- Fortin, Bernard, "Welfare benefits and the duration of welfare spells: evidence from a natural experiment in Canada", Journal of Public Economics, 88(7-8), pp.1495~1520 (2004)
- Gerber, Alan S, "The Oxford handbook of political science" (2011), Oxford Press
- Harrison, Glenn W, "Risk attitudes, randomization to treatment, and self-selection into experiments", Journal of Economic Behavior & Organization, 70(3), pp.498~507 (2009)
- Horiuchi, Yusaku, "Designing and analyzing randomized experiments: Application to a Japanese election survey experiment", American Journal of Political Science, 51(3), pp.669~687 (2007)
- Kam, Cindy D, "Who toes the party line? Cues, values, and individual differences", Political Behavior, 27(2), pp.163~182 (2005)
- King, Gary, "The Dangers of Extreme Counterfactuals", Political Analysis, 14(2), pp.131~159 (2006)
- Labonne, Julien, "The local electoral impacts of conditional cash transfers: Evidence from a field experiment", Journal of Development Economics, 104, pp.73~88 (2013)
- Michalopoulos, Charles, "When financial work incentives pay for themselves: evidence from a randomized social experiment for welfare recipients", Journal of Public Economics, 89(1), pp.5~29 (2005)
- Montgomery, Jacob M, "How conditioning on posttreatment variables can ruin your experiment and what to do about it", American Journal of Political Science, 62(3), pp.760~775 (2018)
- Morton, Rebecca B., "Experimental political science and the study of causality: From nature to the lab" (2010), Cambridge University Press
- Muralidharan, Karthik, "Building state capacity: Evidence from biometric smartcards in India", American Economic Review, 106(10), pp.2895~2929 (2016)
- Olken, Benjamin A, "Monitoring corruption: evidence from a field experiment in Indonesia", Journal of Political Economy, 115(2), pp.200~249 (2007)
- Powell, Benjamin, "Does mass immigration destroy institutions? 1990s Israel as a natural experiment", Journal of Economic Behavior & Organization, 141, pp.83~95 (2017)
- Robinson, Amanda Lea, "Who is targeted in corruption? Disentangling the effects of wealth and power on exposure to bribery", Quarterly Journal of Political Science, 13(3), pp.313~331 (2018)
- Sinclair, Betsy, "Detecting spillover effects: Design and analysis of multilevel experiments", American Journal of Political Science, 56(4), pp.1055~1069 (2012)
- Taubman, Sarah L, "Medicaid increases emergency-department use: evidence from Oregon’s Health Insurance Experiment", Science, 343(6168), pp.263~268 (2014)
- Transue, John E, "Treatment spillover effects across survey experiments", Political Analysis, 17(2), pp.143~161 (2009)
- Zizzo, Daniel John, "Experimenter demand effects in economic experiments", Experimental Economics, 13(1), pp.75~98 (2010)
- 안도경, "정치학과 실험", 평화연구, 22(2), pp.326~359 (2014), 평화와 민주주의연구소
