Raviv Murciano-Goroff

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1 Raviv Murciano-Goroff Department of Economics Stanford University Stanford, CA (617) EDUCATION Ph.D. in Economics, Stanford University, Expected June 2018, Job Market Paper: Missing Women in Tech: The Labor Market for Software Engineers. M.Sc. in History of Science, Medicine, and Technology, Oxford University, August B.A. in History, Harvard University, June 2009, magna cum laude. Thesis (High Honors). REFERENCES Dean Jonathan Levin (primary advisor) Prof. Muriel Niederle Stanford Graduate School of Business Stanford Department of Economics (650) (650) Prof. Timothy Bresnahan Prof. Richard B. Freeman Stanford Department of Economics Harvard Department of Economics (650) (617) RESEARCH AND TEACHING FIELDS Economics of Technology and Innovation. Applied Microeconomics. SCHOLARSHIPS AND AWARDS Spring 2017 B.F. Haley and E.S. Shaw Fellowship for Economics Stanford Institute for Economic Policy Research Winter 2016 Stanford University Outstanding Teaching Assistant Award Fall 2016 Kauffman Foundation Dissertation Fellowship

2 Received $20,000 to support research on hiring and entrepreneurship. Winter 2015 Stanford University Outstanding Teaching Assistant Award Fall 2009 Spring 2009 June 2009 June 2009 June 2007 Oxford University Wellcome Unit for the History of Science, Medicine, and Technology Scholarship Harvard University's Derek Bok Center Certificate of Distinction in Teaching Harvard University Carl and Lily Pforzheimer Public Service Award Harvard University Harvard Foundation Award for Intercultural Work Harvard University Carol K. Pforzheimer History Award TEACHING EXPERIENCE Business Strategy Winter 2015, 2016 Business Strategy (Undergraduate Course), Stanford University Teaching Assistant to Prof. Hamilton Helmer Outstanding Teaching Assistant Award 2016, Stanford University Outstanding Teaching Assistant Award 2015, Stanford University Digital Economics Winter 2016 Fall 2015, 2016 Advertising and Monetization (MBA Course) Course Grader for Prof. Susan Athey, Stanford University, MBA Platform Competition in Digital Markets (MBA Course) Teaching Assistant for Prof. Susan Athey, Stanford University, MBA Computer Programming, Data Analysis, and Math Fall 2015, 2016, 2017 Fall 2011 Spring 2009 Co-taught the Stanford University Economics Department s Programming Boot Camp for Incoming Ph.D. Students Linear Algebra and Real Analysis (Undergraduate Course), Harvard University Proof Assistant to Prof. Paul Bamberg Algorithms and Data Structures (Undergraduate Course), Harvard University

3 WORK EXPERIENCE Teaching Assistant to Prof. William Bossert Harvard University's Derek Bok Center Certificate of Distinction in Teaching Fall 2013 present Fall 2009 Fall 2012 Summer 2009 Consultant for Risk Products and Business Intelligence at Visa, Inc. Research Assistant for Jonathan Levin, Liran Einav, and Pete Klenow on collaboration with Visa, Inc. Research Assistant for Harvard Professor Richard Freeman and the Science and Labor Workforce Project. Department of State Intern in Washington, DC. Supported an international negotiation about science and technology. CONFERENCE PRESENTATIONS AND INVITED TALKS Fall 2017 Harvard Business School, Seminar on Science Based Business Initiatives. August 2016 Harvard University, Center for Mathematical Sciences and Applications Big Data Workshop Presented on big data and machine learning methods utilized in my research projects. July 2014 Spring 2011 May 2011 National Bureau of Economic Research (NBER) Innovation in An Aging Society Meeting Presented on previous matching of the Web of Science and PubMed database using machine learning methods. Guest Lecturer for Prof. Richard Freeman s course, Economics of Discontinuous Change at Harvard University. Taught probabilistic data mining, automated textual analysis, Bayesian analysis, Latent Dirchlet Allocation, and methods for mining large datasets. National Bureau of Economic Research (NBER) Nanotechnology Conference Presented paper coauthored with Ina Ganguli and Jack Trumpbour entitled, Nanotechnology: Emerging Measures of National and International Scientific Cooperation.

4 JOB MARKET PAPER Missing Women in Tech: The Role of Self-Promotion in the Labor Market for Software Engineers This paper examines the behavior of job seekers and recruiters in the labor market for software engineers. I develop a novel dataset that combines information both on the way individuals selfreport their skills for potential employers to see on a recruiting platform, and the decisions of recruiters on that platform regarding which individuals to contact about job openings. This dataset is augmented with measures of individuals' previous programming experience based on analysis of actual computer source they wrote and shared within an online coding community. Using this unique dataset, I find three results. First, recruiters respond to potential recruits' selfreports of their technical skills. Second, consistent with social psychology and behavioral economics studies, I observe that female programmers with previous experience in a programming language are 9.36% less likely than their male counterparts to self-report that programming language on their resume. Finally, despite public protestations, recruiters do not appear more inclined to recruit female candidates who self-report knowing programming languages. Ultimately, these findings indicate that neither the labor demand nor labor supply sides of this market are creating corrective pressure during the recruiting stage to increase the percentage of women among the software engineering workforce. PUBLICATIONS Richard B. Freeman, Ina Ganguli, and Raviv Murciano-Goroff (2015), Why and Wherefore of Increased Scientific Collaboration in The Changing Frontier: Rethinking Science and Innovation Policy, Adam Jaffe and Benjamin Jones, editors (p ) We examine international and domestic collaborations using an original survey of corresponding authors and Web of Science data of articles that had at least one US coauthor in Particle and Field Physics, Nanoscience and Nanotechnology, and Biotechnology and Applied Microbiology. The data identify the connections among coauthors and the views of corresponding authors about the collaboration. We find that collaborations have increased across US cities and between US researchers and researchers abroad. However, they show sufficient similarity to indicate that collaborations are best viewed in many regards as occurring across space broadly rather than in terms of international vs. domestic collaborative activity. We also document that the main reason scientists give for collaborations is to combine the specialized knowledge and skills of coauthors. The vast majority report that face-to-face meetings are important; most collaborators first met working in the same institution and communicate often through meetings with coauthors from distant locations. Finally, we find that for biotech, citations to international papers are higher compared to papers with domestic collaborators only, but not for the other two fields. Moreover, in all three fields, papers with the same number of coauthors had lower citations if they were international collaborations.

5 WORKS IN PROGRESS Worker Mobility and Spillovers in Technology Adoption Decisions When highly skilled workers switch employers, they bring their knowledge of and experience in the technologies used at their previous workplace. Thus, the movement of workers can influence the diffusion new technologies across firms. By collecting and analyzing the actual source code of websites over time, I created a panel dataset of the web technologies used on hundreds of popular public-facing websites over the past seven years. I augment this panel with data on the rate of worker transitions between employers. Using this novel dataset, I investigate how the movement of workers influence web technology adoption decisions. My results indicate that the technology adoption decisions of firms have spillover effects on the decisions of other firms through the channel of worker mobility. The Dynamics of Consumer Smartphone Updates and Upgrade Decisions I analyze the dynamics of smartphone update and upgrade decisions by professional and amateur photographers. The data for this research comes from a random sample of 100 million photos posted to Flickr, a photo-sharing website. For each photograph taken by a smartphone, embedded meta-data indicates both the model and the software installed on the phone that took the photograph. I extract this data and construct a panel dataset of each photographer s devices and their usage. Thus far, I find two results. First, when new smartphones are released, individuals who do not update their phone and do not update the software on the phone also increase the number of photos they take with their phone. Second, while the installation of new software on a smartphone increases the usage of that device, it also prolongs the time until a user purchases a new device. These results provide insights into the trade-offs that device manufacturers face when developing strategies for the release of new devices and software updates. Liran Einav, Pete Klenow, Jonathan Levin, and Raviv Murciano-Goroff, Retail Expansion We examine the geographic expansion patterns of U.S. retail chain stores using transaction-level data on credit cards from Visa, Inc. between 2007 and We find that the majority of variation in sales across stores within a retail chain can be explained by the number of customers transacted there. In contrast, we see little variation in the ticket size of transactions at chain stores in either the cross-section or over time. This implies that innovation in the retail space comes largely from entrants rather than incumbents.

Lin Jiang 514 Cornell Hall University of Missouri Columbia, MO

Updated on August 14, 2015 Lin Jiang 514 Cornell Hall University of Missouri Columbia, MO 65211 jiangl@missouri.edu http://business.missouri.edu/people-directory/lin-jiang Employment: Assistant Professor,