The Institute for Business Innovation administers several fellowships that support coursework and research of Haas graduate students.
In the current academic year, the school selected the students listed below to benefit from three fellowships:
the Sasakawa Young Leaders Fellowships, the Bradley Fellowships, and the Claire Goedinghaus Fellowships.
The Ryoichi Sasakawa Young Leaders Fellowship Fund (Sylff)
The Ryoichi Sasakawa Young Leaders Fellowship Fund, Sylff, is a collaborative initiative of The Nippon Foundation, the endowment donor, and The Tokyo Foundation for Policy Research, the program administrator. The Program contributes to support the education of outstanding students pursuing graduate level study in the social sciences and humanities with high potential for leadership. UC Berkeley administers the income from a generous endowment to grant Sylff fellowships to Haas PhD students. Many past Sylff fellows have become leaders in their fields, including our own Garwood Center Director, Professor Henry Chesbrough. Click here to read more about Sylff. Click here to read about past SYLFF fellows.
Current Sylff Fellows:
My projects broadly focus on the economic consequences of disempowerment across many different settings. Two of my projects consider how political representation for racial minorities affect their economic status. The last project considers the credit-related consequences of mass incarceration.
I examine how competition affects entrepreneurship and innovation. I first analyze how competition affects entry, growth, and exit of entrepreneurial firms as well as established incumbent firms. I then study how competition alters a firm’s ability and incentives to innovate. Importantly, I provide novel evidence that innovation is multidirectional and that competition changes the fundamental direction of innovation. That is, less competition may promote breakthrough innovation, while higher competition makes firms engage in incremental innovation. Research in this area is challenging because competition is endogenous and data is scarce. I use U.S. Census microdata and exploit antitrust cases (i.e., formation and breakup of cartel) as sources of variation in market competitiveness.
Laura’s research interests are shaped by her professional background in and personal passion for international development. Since coming to Haas, Laura started to explore how public policy, particularly pertaining to social and environmental issues, and globalization impact individuals and households as well as firms and markets in developing countries. Laura is also conducting research on political economy and economic development, particularly in the context of middle- income countries.
Oren’s current research is titled Information Simplification and Strategic Reaction: Evidence from the Israeli Food Market. Oren works in industrial organization, behavioral and labor economics, and estimating the effectiveness of public policies.
Byung Hyun Ahn
Hyung investigates the role of active ETFs in capital markets. The tremendous growth in exchange-traded funds (ETFs) and passive investing summarizes the post-financial crisis investment landscape. Contrary to expectations, actively-managed ETFs have also gained popularity since the SEC’s approval of such ETFs in March 2008. As of today, 223 actively- managed ETFs are registered with the SEC, totaling $51.7 billion of assets under management with smart beta ETFs being one of the fastest growing investment instruments. Hyung will contribute to the literature by analyzing the performance actively-managed ETFs, their management fee structure, and investor base characteristics, as well as the interplay with passive strategies and alternative active strategies. Hyung will examine the implications of the growth in actively-managed ETFs on the underlying constituents’ security lending conditions to gain insights about the interplay of limits to arbitrage with stock market pricing efficiency.
Junfei (Jesse) Yao
Jesse studies advertising by publisher. Advertisers usually use more than one publisher to deliver ads. Traditionally, advertisers only compensated the last publisher who showed the ad to the customers before the conversion. This method, however, will lead to some undesired behavior of the publisher such as free-riding, which might harm the advertiser. In this project, Jesse estimates and tests the effectiveness of the advertising of each publisher, so that the advertiser could compensate multiple publishers according to their marginal contributions.
Alexei studies whether media outlets bias their coverage of news related to their owners or enterprises their owners have vested interests in. He is collecting the data on US newspapers that can be subject to this conflict of interest. Two questions are addressed: 1. Does the conflict of interest lead to more coverage of the owner-related news? 2. Do owner-related news stories get more positive coverage relative to other newspapers?
Xin’s project is titled “How does Social Promotion Affect Consumer Choice and Firm Strategies?” Increasingly ubiquitous online social interactions have nourished the advent and ongoing marketing innovations to engage consumers through social media in many industries. Firms leverage customers’ social influences for retaining and growing their customer assets. In particular, they face a choice on what conditions to impose on the social aspect. Xin answers the research question of how social promotion affects consumer choice and firm outcomes. Specifically, Xin devises a two-level randomization framework to assess the social advertising effectiveness in terms of market share, consumer spending, and firm profitability. Through a field experiment, Xin shows that while the immediate effect of sharing is to reduce sales of the promoted products, but the overall effect is just the opposite; the leads created with sharing more than make up for the lost sales due to increasing customer costs of obtaining the deal. When forced to share, customers substitute and purchase other similar products instead. Moreover, despite potential deeper connections among customers in smaller cities, those from big cities exhibit stronger lead generation potential.
Yoonha is a Ph.D. candidate in the Business and Public Policy department at the Haas School of Business. Her research interest lies in the intersection of personnel economics and entrepreneurship. One part of her research studies how firms can improve their hiring and compensation strategies. Particularly, she investigates how an array of frictions in the labor market prevent firms from attracting and motivating the most productive employees. Since these evaluations must consider the decision of individuals to either start new businesses or work as salaried employees, another part of her research evaluates the motivations to become an entrepreneur. In her dissertation, she investigates what shape differential patterns of small business formation across subgroups of the population by studying the experience of immigrant entrepreneurs who, because of their linguistic-cultural differences, had failed to find a good match with existing firms and opened their own business.
Sibo is a fourth year PhD student at Haas School who is studying Business and Public Policy. She was previously the Program Associate in Economics at the Alfred P. Sloan Foundation. Her current research focus is on dynamic learning and decision making under uncertainty, in settings such as strategic games, online labor markets, and voting.
Moshe is a Business and Public Policy Ph.D. candidate at the Haas School of Business. His research focuses on labor economics, behavioral economics, and organizational economics. He works on market design and efficient match making within the context of online labor markets. He has studied how market designers can induce better match making by artificially limiting the number of match requests users can send. This method has the potential downside of limiting supply, but by balancing labor supply against the quality of the matches a market designer can create a healthy marketplace. Moshe has also studied the use of a money back guarantee as both a signal of quality as well as a means of shifting risks from the employer to the platform.
Yujin is a Ph.D. candidate in the Business and Public Policy department at the Haas School of Business. Her research focuses on innovation, entrepreneurship and strategy. Her job market paper studies the role of institutions on the novelty of innovation originated by entrepreneurial firms. In the context of the Orphan Drug Act (ODA), an act originally aimed to facilitate the development of treatments for rare diseases, her research reveals that the Act reduces the uncertainty and information asymmetry problem associated with commercialization of novel innovations. The positive externality of ODA encourages innovating startups and incumbent firms to collaboratively bring novel orphan drugs to treat more general diseases beyond a group of rare diseases. The findings suggest that an external environment affects the direction of technologies that small innovators decide to commercialize, thereby reducing market inefficiency against novel innovations. She also studies heterogeneous investment strategies of corporate venture capitalists across diverse industry fields.
Aisling is a fourth year Ph.D. student in the Business and Public Policy department of the Haas School of Business. Her research interests lie in development, financial decisions, and entrepreneurship. She is working on a project that examines lottery-linked savings accounts in Mexico. These prize linked accounts tie the probability of winning a prize to a function of one’s savings. A future part of this research will examine how quickly the winners in Mexico spend their money. The findings will contribute to the body of empirical knowledge on the financial decisions of the poor. Previously, Aisling worked for the Kauffman Foundation on entrepreneurship research.
Santiago Truffa is working on his job market paper “Sorting Urban Inequality.” The main question he investigates is what determines the distribution of talent across space and what are the consequences this can have over wages and housing prices. He builds an urban-‐macro model where workers of different skills can sort across cities and jobs seeking the highest return for their human capital. He explores the physical features of cities that explain the mobility of human capital and their implications on aggregate productivity and inequality. He calibrate the model using micro data from the CPS and use it to understand the role of skill sorting in explaining aggregate wage inequality and to assess the general equilibrium effects of place-‐based policies.
Yuquian is a third year Ph.D. Student in the Business and Public Policy department at Haas School of Business interested in conducting research in industrial organization. Recently, he developed a theoretical model to study the impact of an information clearinghouse on firm strategy and consumer welfare, when firms exhibit different levels of productivity. He studies the equilibria and firm selection that results in two cases: free and costly entry into the clearinghouse. After examining the impact of new information sources on consumer behavior, Yuqian intends to assess the empirical validity of his model’s predictions.
The Bradley Fellowship Program is part of the Lynde and Harry Bradley Foundation interest in strengthening America’s intellectual infrastructure at the higher-education level. In providing assistance to young scholars during a critical phase in their education, Bradley Fellowships make it possible for doctoral candidates and post-doctoral fellows to complete their studies, prepare drafts for publication, conduct research, and enhance their competitiveness in the job market.
Current Bradley Fellows:
The project (with Carlos Avenancio, and his advisor Christopher Palmer in Real Estate) seeks to examine the impact of the criminal justice system on access to credit. We’ve tentatively negotiated an agreement with a credit ratings bureau for them to match court data that we’ve collected/cleaned with credit histories.
This project studies the effect of competition on different types of investment and innovation. One stream of theory on competition and innovation suggests that monopolistic firms do not have incentive to innovate (“Arrow”). On the other hand, another set of theory argues that market power promotes innovation (“Schumpeterian”). It is thus an empirical question which of the two opposing effects dominates and what the mechanisms are. To the extent that competition affects firm investment and innovation (either positively or negatively), the findings have important implications that have been overlooked. Furthermore, the project will will distinguish between two different types of innovation activities – competence-enhancing innovations vs. competence-destroying innovations (a la Tushman and Anderson, 1986) – which could explain the opposing views (Arrow v. Schumpeterian) on the causal relationship between competition and innovation.
My goal is to build on and add to the growing body of knowledge being developed around institutional analysis. My work includes a lab experiment in the United States, a field experiment in Mexico, and a partnership with firm to answer interesting questions. For my lab experiment, I seek to examine which environments and characteristics increase trust and reciprocity. My paper in Mexico focuses on incentives for savings. We offer a lottery attached to a savings account as a short-term incentive to induce savings. We observe that a short-term incentive of lotteries has long-term impact on the savings of individuals who open accounts due to the lottery. My last paper focuses on statistical inferences in marketing. We investigate the experimentation processes for companies conducting A/B tests to decide which website to employ. We use the p-values generated by the different experiments to test when experimenters decide to stop experiments. Through this analysis we expect to shed knowledge on how experimenters make use of statistical information, and how the display and generation of information helps to alleviate false positive results and other incorrect results. There has been significant focus in academia recently on the doctoring or misuse of experimental result, a practice that has received the nickname p-hacking. There is little analysis, however, of how a large-scale platform for experiments impacts the industry.
The main question addressed in this project is what determines the distribution of talent across space and what are the consequences this can have over wages and housing prices. The project includes an urban-‐macro model where workers of different skills can sort across cities and jobs seeking the highest return for their human capital. The research explores the physical features of cities that explain the mobility of human capital and their implications on aggregate productivity and inequality. The model is calibrated using micro data from the CPS to understand the role of skill sorting in explaining aggregate wage inequality and to assess the general equilibrium effects of place-‐based policies.
Claire Goedinghaus Fellows
The Claire Goedinghaus Fellowship Fund was established in 1994 to improve the understanding of US firm performance in the global economy. The fellowship terms stipulate that selection among Berkeley-Haas graduate students would be based on academic merit, and that women would be given special consideration.
Past Goedinghaus Fellow:
Sibo is a PhD student at Haas School who is studying Business and Public Policy. She was previously the Program Associate in Economics at the Alfred P. Sloan Foundation. Her current research focus is on dynamic learning and decision making under uncertainty, in settings such as strategic games, online labor markets, and voting.