Amazon Chief Economist gives MAE Distinguished Lecture

 

As part of the MAE Distinguished Speaker series, Pat Bajari, the Chief Economist of Amazon, gave a talk on using big data in practice. His talk focused on the methodology of how to continuous refine algorithms to make steady improvements, by developing new models, training them on data and then testing them against competitors. He also emphasized the importance of interdisciplinary interaction: for example, computer scientists can turn photos of clothes into data points that economists can use to predict demand.

Till von Wachter new Associate Dean for Research

We are delighted to announce the appointment of Professor Till von Wachter to the position of Associate Dean for Research for the Division of Social Sciences.  Professor von Wachter will work with the Dean and the Director for Research and Civic Engagement to find synergies and opportunities for enhancing the Division’s research infrastructure and strengthening its community partnerships.  He will lead the newly created Dean’s Forum, a faculty advisory board representing the Division’s academic units and research centers.

Econ Concentations – Finance – Risk and Portfolio/Wealth Management

Investors in a market economy strive to maximize returns while sharing risks efficiently. This concentration is intended to prepare students for a wide range of careers in which they will be faced with the challenge of advising or managing investment portfolios. Such careers include positions in the rapidly growing asset management industry and/or careers as wealth management advisors. A student graduating from this concentration should be able to understand the basics of portfolio management and the full set of macroeconomic forces that drive the risks investors face.

Prerequisites: In addition to the full set of Lower Division requirements for the Economics or Business Economics Major, a student in this concentration must also take Economics 101, 102, and 103/103L.

Upper Division Electives: A student completing this concentration must complete four courses from the following list:

Econ 106M (Financial Markets and Institutions) Various

Econ 106V (Investments: Portfolio Theory) Pierre Olivier Weill

Econ 141 (Mathematical Finance) Patrick Convery

Econ 144 (Economic Forecasting) Randall Rojas

Econ 160 (Money and Banking) various

Econ 161 (Monetary Theory) various

Econ 122 (International Finance) Ariel Burstein

Math 174A (Financial Economics for Actuarial Students) various

Econ 187 (History of Financial Crises) Andy Atkeson and William Simon

Associated Bruin Development Academies to be shared by the two concentrations in finance:

– Financial modeling with Excel

– Valuation

Associated Internship Programs to be shared by the two concentrations in finance:

– Sharpe Fellows

– Simon Fellows

Associated Support for Faculty and Graduate Student Research:

The application of academic theory has transformed the asset management industry over the past several decades. At the same time, turbulence in financial markets has exposed the difficulties of applying this theory in a constantly evolving world. Both UCLA Economics and UCLA Anderson have been building strong groups of young scholars in macroeconomics and finance. One particularly exciting initiative is to strengthen the collaboration between the Ph.D. programs in Economics and in Finance at Anderson as is done in joint programs between the University of Chicago Economics Department and Chicago Booth. Support for faculty and graduate student research will help make UCLA a top center of new research in financial markets, asset pricing, and their interaction with the broader macroeconomy.

Econ Concentration – Finance – Value Investing in a Market Economy

One of the central functions of investors in a market economy is to direct capital to its most productive use. This concentration in Value Investing in a Market Economy is intended to prepare students for a wide range of careers in which they will be faced with the challenge of evaluating investment opportunities and making active decisions to direct capital to enhance value. Such careers include high level executive positions within companies, careers in alternative investment firms such as private equity or distressed debt firms, or in actively managed mutual funds. A student graduating from this concentration should be able to understand the full set of fundamental economic and strategic forces that favor or disfavor a particular investment opportunity from both a theoretical and historical perspective.

Prerequisites: In addition to the full set of lower division requirements for the Economics or Business Economics Major, a student in this concentration must also take Economics 101, 102, and 103/103L, and Mangement 120A and Management 120B.

Upper Division Electives: A student completing this concentration must complete four courses from the following list:

Econ 106F (Corporate Finance) Parick Convery and Ed McDevitt

Econ 106P (Pricing and Strategy) John Riley

MGMT 180 (Real Estate Finance and Investment) Mark Karlan

MGMT 126 (Financial Statement Analysis) various

Econ 165 (History of Capitalism in the American Economy) Lee Ohanian

Econ 181 (Development of Economic Institutions in Western Europe) Michela Giorcelli

Econ 187 (History of Financial Crises) Andy Atkeson and William Simon

Econ 187-2 (Value Investing) William Simon

Capstone Course:

Applied Value Investing:  Econ 187-3 William Simon

Associated Bruin Development Academies to be shared by the two concentrations in finance:

– Financial modeling with Excel

– Valuation

Associated Internship Programs to be shared by the two concentrations in finance:

– Sharpe Fellows

– Simon Fellows

Associated Support for Faculty and Graduate Student Research:

UCLA has a strong tradition in Macroeconomics, Economic History, and Industrial Organization and in the integration of these fields. We see it as particularly important that students in this concentration be able to draw insights from all of these disciplines in understanding the drivers of economic value from a macroeconomic, historical, strategic, and regulatory perspective. We need funding to support and grow our faculty and graduate programs in these areas to meet the tremendous demand from students in this area.

Adriana Lleras-Muney elected to Executive Committee of AEA

We are pleased to announce that Adriana Lleras-Muney has been elected to the Executive Committee of the American Economic Association for a three-year term beginning January 7, 2018. The AEA is the profession’s most important society, publishing seven economics journals, and having over 18,000 members.

Moritz Meyer-ter-Vehn on AER Editorial Board

Moritz Meyer-ter-Vehn joined the editorial board of the American Economic Review, one of the profession’s “top-5” journals, as an associate editor. He will be working with co-editor Jeff Ely on submissions in pure and applied economic theory.

David K. Levine

David K. Levine

Professor David K. Levine graduated from UCLA in 1977, earning a dual degree of Bachelors in Mathematics and a Masters in Economics. He was enrolled as a UCLA student during high school, but he later studied at Harvard University for a year before coming back to UCLA in his second year and finishing his degrees. He decided to be an economics professor since he was a freshman, because his initial education in economics was poor, as the economic consensus that he was taught seemed to defy common sense. He enrolled at UCLA as a math major while still taking economics courses because he believed a rigorous math background would help him conduct economic research. Eventually, he enrolled in graduate courses in economics as well after being convinced by his life-long mentor Professor Jack Hirshleifer. Professor Levine felt that there was major space for improvement in the field. Eventually, his motivation to improve economics and impart knowledge to others caused him to enter academia which led him to where he is today.

Although UCLA has a reputation for being a large and impersonal place, professor Levine’s experience here was quite the opposite. During his time as a student, there were very few math majors so it was easy to establish contact with other math majors and the faculty. Professor Levine was also given a key to the Math Library, which was his favorite place on campus and where he would often be found solving mathematical problems. Likewise, he had the opportunity to interact and learn from other economics graduate students when pursuing his dual degree. Crucially, he was also a research assistant to Professor Jack Hirshleifer, a professor emeritus of economics at UCLA and received lifelong mentorship from him. For Professor Levine, UCLA offered a great amount of resources that helped him become successful after graduation.

Professor Levine has garnered a long list of achievements throughout his career: He currently serves as joint chair for Department of Economics and Robert Schuman Center at the European University Institute. He is also the John H. Biggs Distinguished Professor of Economics Emeritus at Washington University in St. Louis. But he never kept such achievements in mind as he pursued economics; his motivation was always to push the frontier of this field and to advance the areas of economics he was most interested in.

When asked about the secret to conducting successful research, Professor Levine contends that it is necessary to come up with different explanations for economic phenomena and to determine their feasibility. At the heart of it, he states that common sense is absolutely necessary when conducting economic research. To this point, he brings up the example of intellectual property. The Disney Corporation controls copyrights in the US. Interestingly enough, the costs to the public due to copyrights are much greater than their benefits to Disney. Despite this, the reason why the public does not scrutinize Disney is because the cost per person is trivial. Thus, the public has little incentive to lobby against Disney. However, Professor Levine adds that this conclusion might not be so straight forward without a rigorous mathematical model to back it. He states that the general consensus amongst economists is to make lobbying more expensive or illegal to prevent Disney from lobbying extensively for maintaining control over copyrights. However, from his research alongside Professor Michele Boldrin, they concluded that lobbying should instead be made cheaper. They argue that Disney is able to lobby extensively because Disney makes it harder for the public to lobby against them. Making lobbying cheaper could therefore incentivize the public to actually take action. He drives the point that economic theory forces economists to look at the whole picture instead of erroneously looking at just a single piece of it.

Although our interview did not delve in depth into Professor Levine’s research (Readers can learn more about him and his research at http://levine.sscnet.ucla.edu/david.htm) we did talk about two of his books. The first book, Against Intellectual Monopoly, was co-written with Michele Boldrin. Together, they argued against intellectual property like copyrights and patents, for stifling innovation and competition instead of encouraging it. In the mid 90’s, economists typically viewed intellectual property as a necessary evil because, although it gave rise to monopolies, it was required to innovate. Before professors Levine and Boldrin set out to research innovation, they too shared the same view. However, after building general equilibrium models to study innovations across the economy, they soon found that this view was false. After spending years researching various empirical studies, they concluded that the importance of intellectual property in driving innovation was overstated, proving that even without monopoly power, there was incentive to innovate. The second book, Is Behavioural Economics Doomed?, addresses the backlash against mainstream economics for failing to consider the irrationality of human nature and the rising influence of behavioural economics. Having worked in the field of behavioral economics over the years, Professor Levine noted that there were many good and bad economic theories established in the discipline. His book presents a grim outlook on the field of behavioral economics, not because the discipline is failing but because he recognizes that eventually the good theories of behavioral economics will be incorporated into mainstream economics while the bad theories will be discarded.

Lastly, we asked him to give current undergraduate students some advice. His advice was simple: take full advantage of the resources that UCLA offers before graduating. There is always time to specialize later on so students should feel free to take classes that appeal to them even if it is not relevant to their major. Drawing from personal experience, despite pursuing a dual degree in math and economics, professor Levine took a wide variety of classes ranging from history to Russian. That’s the beauty of UCLA’s holistic curriculum: the opportunity to learn subjects that you wouldn’t otherwise get a chance to learn upon graduating. Remember to make the most of your education.

By Ng Xiang Yang, with Adithya Kumar and Charles Qian.

Understanding Network Formation

Shuyang Sheng

Social and economic networks permeate our lives. They play an important role in determining how diseases spread, which products we buy, how much education we attain, and even whether to smoke. Since social and economic networks are central to our economic well-being, economists have recently become increasingly interested in exploring how social and economic networks are formed. They raise empirical questions such as which network structures are likely to emerge, why some people have many friends while others are isolated, and whether people with similar socioeconomic status are more likely to become friends.

Answering such questions is challenging. Social and economic networks are not formed randomly. We choose our friends on the basis of the utility from friendships. When we make such decisions, we also take into account the other friends we already have or other friends our potential friends already have. For example, we are more likely to add someone as a friend on Facebook if we have friends in common. Such an effect of indirect friends creates strategic interactions among individuals, posing a big challenge to the econometric analyses of network data. Moreover, social and economic networks typically have hundreds or thousands of individuals. Since the number of network structures increases exponentially in the number of individuals, traditional econometric methods often become computationally intractable when networks are large.

In her ongoing research entitled “Estimation of Large Network Formation Games” joint with Geert Ridder (USC), Professor Shuyang Sheng develops new econometric methods to estimate network formation models with strategic interactions that overcome these challenges. Professor Sheng characterizes network formation as a simultaneous-move game with incomplete information which allows for utility externalities from indirect friends such as friends of friends and friends in common. Because the expected utility is nonlinear in the link decisions of an individual, each individual faces a complicated discrete choice problem with a large number of overlapping alternatives, which is difficult to solve. The insight of Professor Sheng’s work is to use the Legendre transform to express the expected utility as a linear function of the link decisions of an individual, so the optimal link decisions can be derived in closed form. Using this closed-form expression, Professor Sheng proposes a two-step procedure to estimate the parameters, which has good asymptotic properties and is easy to compute.

The methods proposed by Professor Sheng can be used to answer empirical questions in social networks such as how demographic and socioeconomic composition of students in a school affects their social networks, and whether friends in common play a significant role so the networks represent a feature of clustering. Besides social networks, the methods can also be used to investigate the formation of economic networks. For examples, citations are widely used to measure the economic value of a patent. Viewing patent citations as a network among inventors, one can use the methods to examine empirically why some patents receive many citations while other do not, whether inventors tend to cite patents whose inventors are not far from them, whether citation networks represent clustering and why, and so forth.

William Zame elected fellow of Game Theory Society

The Economics Department is pleased to announce that William Zame has been elected as a fellow of the Game Theory Society.  According the to Society’s bylaws, “The Fellows of the Society are a group of people honored for their contributions to game theory and service to the Society, and are a source of advice for the Steering Committee.”  Fellows are elected by the council members of the GTS.