What Can Behavioral Economics Teach Us about Teaching Economics?
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What Can Behavioral Economics Teach Us about Teaching Economics?

Supriya Sarnikar

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eBook - ePub

What Can Behavioral Economics Teach Us about Teaching Economics?

Supriya Sarnikar

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About This Book

Sarnikar cites evidence of frequent misconceptions of economics amongst students, graduates, and even some economists, and argues that behavioral economists are uniquely qualified to investigate causes of poor learning in economics. She conducts a review of the economics education literature to identify gaps in current research efforts and suggests a two-pronged approach to fill the gaps: an engineering approach to the adoption of innovative teaching methods and a new research program to enhance economists' understanding of how learning occurs. To facilitate research into learning processes, Sarnikar provides an overview of selected learning theories from psychology, as well as new data on hidden misconceptions amongst beginning students of economics. She argues that if they ask the right questions, economists of all persuasions are likely to find surprising lessons in the answers of beginning students of economics.

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Year
2015
ISBN
9781137497444
1
Are Economists Successful Communicators of Their Disciplinary Knowledge?
Abstract: Most economists believe that their discipline is not well understood by the general public, or by most of their undergraduate students. Some may believe that graduate students with quantitative skills have a better understanding of economics. To test whether such beliefs are justified, evidence is collated from various studies, including studies in behavioral economics, with some surprising results.
Sarnikar, Supriya. What Can Behavioral Economics Teach Us about Teaching Economics?. New York: Palgrave Macmillan, 2015. DOI: 10.1057/9781137497444.0004.
Communicating with the general public
That the general public understands very little economics is a claim with which most economists would not disagree. Several studies show that the American people do not hold the same views as economists on many economic issues (Blendon et al. 1997; Caplan 2002; Sapienza and Zingales 2013). The reasons for why the general public seems to disagree with economists could be complicated. Studies which have investigated the reasons for this discrepancy reach seemingly different conclusions. Sapienza and Zingales (2013) conclude that Americans hold different views than economists because they are less willing to believe the assumptions upon which economists’ conclusions are based. The surveys used in their study consisted of questions which required the implicit use of some economic model or theory to arrive at an opinion. Therefore, the differences in the views elicited could be attributed to different models or different assumptions that each group was using. Caplan (2002) and Blendon et al. (1997) studied the results of a different series of surveys which asked economists and the general public several factual questions. Included on the surveys were such questions as, whether the unemployment rate had decreased in recent years, or whether the inflation rate had decreased. On these factual questions as well, Americans displayed a more pessimistic outlook than economists. Blendon et al. (1997) suggest several different explanations for the observed discrepancies between the views of the public and that of economists. Using data from supplements to the survey, they suggest that the public’s mistrust of official statistics,1 or the tendency to rely on personal experience rather than official statistics, or bias induced by media stories which tend to focus more on bad news than good, might be some reasons for the discrepancy. Other economists and non-economists suggested that self-serving, or ideological biases of economists might be to blame for the differences in views. Caplan (2002) using data from the same survey investigates whether controlling for any self-serving bias or ideological bias among the surveyed economists would reduce the gap in the views of the two groups. Caplan concludes that biases of economists (whether self-serving or ideological) cannot explain the differences in views, and finds that higher levels of education seemed to bring the general public closer to economists’ views, but not close enough to eliminate the gap. Whether these results mean that economists’ views are more accurate than the public’s or vice versa is a different question. It cannot be denied, however, that these findings call for better communication with the public. If Sapienza and Zingales (2013) are correct and people hold different views because they disagree with our assumptions, then we do not seem to be successfully carrying the burden of persuading the public about the value of our methods, theories, and assumptions. If Caplan (2002) is correct and the differences are due to the public’s poor knowledge, or their cognitive biases, or their poor education, then too we are not doing our part in educating the public. Similar results are obtained from the many studies on financial literacy of the general public. Lusardi and Mitchell (2014) provide an excellent review of the literature on financial literacy and its importance for economic outcomes.
This book is not about what can be done to improve the economic and financial literacy of the general public. Others have proposed some solutions such as engaging directly and often with the public to help improve economic literacy. For example, Hamermesh (2004) advocates talking to the media more often as a way of improving economic literacy of the general public. This book is aimed at a narrower goal: investigating what can be done to improve the teaching of economics to the students who enroll in economics courses. This narrower goal, however, may have an indirect impact on the broader goal of better economic literacy. Non-majors form a larger part of the student population in introductory economics courses than economics majors. So, doing a better job of teaching introductory courses may have an indirect effect on improving the economic literacy of the general population. Economic literacy of the general population may also determine how successful our efforts can be at teaching economics, as will be elaborated in later chapters. Overall, the evidence on the general public’s economic and financial literacy suggests that better education of the public is an area that needs greater attention than currently paid by the profession.
Teaching undergraduate students
Are we more successful in communicating the scientific, philosophical, and ideological reasons for our strongly held beliefs to the students who take our courses? What is the evidence on the amount of learning that occurs in undergraduate economics courses? Much of the evidence that we have is based on standardized tests of economic literacy. Empirical studies of student learning have shown that college courses in economics do very little to enhance the economics knowledge of students (Walstad and Allgood 1999). Data from two sources, a Gallup poll on basic knowledge about the economy and a standardized test of more formal knowledge of economic models and theories, were used. The study shows that students who took college level economics courses answered more questions correctly on the Gallup poll (the Gallup poll included factual questions about who sets monetary policy, and so on) than those who did not take an economics course. But the average score of those who took economics courses was only about 60 percent. On the standardized field test of formal models and theories, college seniors who had taken one or more economics courses did not score much higher than seniors who did not take any economics courses. Similar results are obtained from other standardized tests, like the Test of Understanding in College Economics (TUCE) as well. While the shortcomings of standardized tests as measures of real learning are well known, the questions on these tests are not very different from the questions that students might see on typical college economics exams. It is also likely that the deep learning that we would like to see in our students requires foundational knowledge of the models and theories tested on these exams. If students are unable to answer questions that are based on the models and theories, they would probably also be unlikely to competently apply the models and theories to real-world problems.
If evidence based on standardized tests is not convincing, we can look at other types of evidence that exist on what students know about economics. Bice et al. (2014) report results of a survey administered to students enrolled in principles of microeconomics courses in eight American institutions of higher education. Though the institutions represented a convenience sample, they were diverse in geographic location, size, and type (community college, public university, private liberal arts college). The survey administered to students at these institutions by the team of authors/investigators/instructors contained several factual questions similar to the questions asked on the survey used in Caplan (2002), and the results show that students come to our courses holding some of the same incorrect views as the general American public. Whether we are able to effect any changes in the pre-conceptions of our students is still an open question which remains to be investigated. But, one study conducted at a Belgian institution of higher education offers a glimmer of hope. Goossens and MĂ©on (2015) claim that a strong belief of the economics community is that market transactions are mutually beneficial. So, they investigated whether students who study economics display a stronger commitment to this belief than students who study other subjects. Surveys were conducted of students enrolled in various programs of study such as economics, business, law, psychology, and political science. The surveys were administered at different times during the typical program of study, and the change in students’ attitudes toward markets was measured. The authors find that economics students not only start out with greater faith in markets but also become more strongly convinced of the mutually beneficial nature of market transactions by the end of their studies. Students of law, and especially of psychology, became less inclined to believe that markets are mutually beneficial. The authors did not investigate the causes of these beliefs or the reasons for the changes. Allgood et al. (2004) found that economics majors who graduated from one of the four universities at which the authors taught had distinctly different views about international trade than business or other majors who also took introductory economics courses at the same institutions. Economics majors were “more likely to agree that trade barriers reduce welfare” (Allgood et al. 2004, 263) and less likely to agree that trade deficits have an adverse effect on the economy. While these results are encouraging, we would, presumably, want our students to learn more than to just mimic our beliefs.
Deeper learning of the kind which allows our students to apply what they learn, to their jobs and daily lives, is harder to accomplish and even harder to assess. According to Siegfried et al. (1991b) most economists hold the view that the goal of teaching economics is to help students to “think like economists.” If the reader is wondering what thinking like an economist means, the paper describes a long list of skills and abilities, such as, problem solving, “creative skills,” ability to identify trade-offs, and engaging in deductive reasoning. There is no systematic or defining study as yet, of whether our students are able to “think like economists” at the end of their programs of study. But studies with a narrower scope indicate trouble. Green, Bean, and Peterson (2013) report that economics majors who were perfectly able to manipulate mathematical models and able to identify points of equilibrium and disequilibrium on graphs were nevertheless unable to explain how and why a market cannot stay in disequilibrium. In the process of assessment of the major, they found that students were attaining mere surface knowledge of models but did not gain a deeper understanding of the market mechanisms and could not relate the models to the real world. Many educators are surprised by this phenomenon but it is not limited to one institution or limited to learning in economics. A video documentary,2 produced in 1987 by the Harvard-Smithsonian Center for Astrophysics, shocked the community of science educators when it showed that graduates with degrees in science from Ivy League institutions could not explain the cause of seasons or apply the law of conservation of mass.
Teaching the best and the brightest graduate students
If the reader is, at this point, tempted to dismiss the evidence of poor learning as mostly an undergraduate level phenomenon, or tempted to attribute it to unmotivated or under-prepared students, there is some evidence to consider on graduate students and successful PhDs.
Direct evidence on learning among graduate students of economics is not available. But, data are available on perceptions of graduates on the usefulness of their training. Students who graduate from economics PhD programs report that their graduate training placed too little emphasis on application of theory to real-world problems, on history of economic ideas, and on economic institutions and economic history (Stock and Hansen 2004). Many also report that mathematics was less important for success in their jobs than it was in graduate school—this was true for graduates placed in academic as well as non-academic jobs (Stock and Siegfried 2014). This suggests that graduate students also find it difficult to transfer the theoretical knowledge they gain to the real world. Browne, Hoag, and Boudreau (1995) conducted a survey of faculty perceptions on which skills are required for success in master’s level programs, and a survey of student perceptions on which skills and content were emphasized in their graduate work. The same issues are reported by students in master’s level programs: lack of training in applied policy analysis and a lack of interdisciplinary or alternative perspectives. Another slice of more direct evidence comes from Ferraro and Taylor (2005) in which graduate students and economists with a PhD were asked to answer a multiple-choice question similar to ones found in introductory economics textbooks. The question required application of the concept of opportunity cost to a structured and highly simplified real-world scenario. The researchers tried different ways of wording the question and found that, regardless of how the question was framed, roughly three-fourths of the economists surveyed could not apply the concept of opportunity cost to the scenario presented. Those who specialized in microeconomics fared slightly better than those who specialized in other fields but the success rate was still lower than 50 percent even among those who specialized in microeconomics. Many rationalizations can be made for the inability of trained economists to answer the particular question, and it is debatable whether the evidence shows that graduate students and PhD economists cannot apply theoretical concepts to the real world. But the type of question used to assess economists’ ability to apply the concept is similar to ones that are used to assess students’ understanding of these concepts. If the evidence does not indicate that most economists are unable to apply their theoretical knowledge, then it at least calls into question the common assessment practices used for measuring student learning.
Turning to graduate students in business programs, a little bit more direct evidence is available on their ability to apply classroom knowledge to real-world problems. Evidence from behavioral economics literature suggests that graduate students enrolled in Ivy League institutions may not be learning concepts well enough to transfer their knowledge to real-world problems. Choi, Laibson, and Madrian (2010) investigate why the law of one price fails in the market for index funds, and find that even Wharton MBAs who are instructed about index funds before making a choice, nevertheless fail to make the correct investment choices. The choice in this experiment was to build a portfolio from among a set of mutual funds which were all based on the same index but charged different amounts in fees. The optimal choice would have been to allocate all investment monies to the fund which charged the lowest fee since no other bundled portfolio services were provided. But most participants failed to choose that strategy even though they were given powerful incentives to do so. Choi et al. do not attribute this behavior to a failure of education3; they do not ask the question as to why students, in a highly selective and prestigious program, are unable to transfer a relatively simple lesson to solve a relatively simple “real-world” problem. Instead, this failure is portrayed as yet another instance of the cognitive limitations that prevent people from making optimal decisions; limitations which cannot be overcome by disclosing more information. Hopefully, the reader would agree that the finding at least begs the question as to why students, who are being trained for occupations which require much more sophisticated decision-making ability, are unable to transfer a relatively simple lesson to solve a relatively simple experimental problem which was but, a simplified version of a real-world task.
Behavioral economics has done a remarkable job of exploring cognitive biases, but the solutions proposed to alleviate the symptoms of the biases often tend to look to some type of governmental action. This book is aimed at persuading economists to take a deeper and longer look at how and what we teach, so that we can find a different solution to the problem of cognitive limitations. Teaching and education have been equated with mere information transmission in many studies and therefore, the potential of education to alleviate cognitive biases has been dismissed without investigation. The community of researchers across various disciplines has spent a great deal of resources on learning how to teach machines to think. The field of artificial intelligence has made immense progress in the last few decades based on the knowledge gained from cognitive sciences on the inner workings of the human brain (Pratt 2015). Would it not be a shame if we fail to devote resources to using the same knowledge to at least explore whether we can do a better job of teaching humans how to overcome some common cognitive biases?
The investigation of learning processes has benefited from the contributions of many disciplines so far. The multi-disciplinary “learning sciences” consist of contributors from psychology, sociology, anthropology, computer science, and neuroscience. The literature on science and math education provides a great deal of evidence on some predictable ways in which people misunderstand basic concepts in mathematics and science. This literature also contains many studies which test for the success of alternative methods of teaching to alleviate the effects of cognitive ...

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