Below is a list of published articles and working papers. Feel free to email me to request working papers. Please see my CV for further details.

Published and Accepted Work

Selling Out: The Inauthenticity Discount in the Craft Beer Industry
Management Science, 2017, 63(11): 3930-3943. Download paper

This paper investigates why audiences devalue organizations that behave inauthentically. One explanation is that inauthenticity leads to lower perceptions of product quality. This stems from the audience's doubt of an inauthentic actor's capability and commitment to producing high-quality goods. Another explanation is that audiences discount the symbolic value — or what the good represents — of goods from inauthentic actors. I empirically test each of these mechanisms in the craft beer industry. First, I exploit exogenous variation in consumers' knowledge of craft brewers' inauthentic identity (whether they are owned by a corporate brewer) to empirically demonstrate an inauthenticity discount. Next, I decompose audience evaluations to show that knowledge of a producer's inauthenticity does not have a statistically significant impact on evaluators' sensory experience of the product, but that it does affect audience evaluations of the product's symbolic value.

  1. Media mentions by Associated Press, Business Insider, The Conversation, and The Huffington Post

Leveraging Who You Know by What You Know: Specialists, Generalists, and Returns to Relational Capital (With Heejung Byun and Rajshree Agarwal)
Strategic Management Journal, 2018, 39:1803–1833. Download Paper

This paper investigates the interaction effects of specialization and relational capital on performance. We distinguish between upstream and downstream relational capital and theorize that higher levels of specialization will buffer against decreases in upstream relational capital, because of deeper domain expertise and stronger downstream relational capital. Conversely, higher levels of generalization permit greater gains from increases in upstream relational capital, due to leverage across a more diversified downstream portfolio of activities. We test and find support for these hypotheses in the context of the US lobbying industry. Our study contributes to the strategic human capital literature by isolating the dimension of specialization and relational capital embodied within individuals and providing performance implications of the interactions.

Mobility Constraint Externalities (With Evan Starr and Rajshree Agarwal)
Organization Science, 2019, 30(5)

Covenants not to compete are often included in employment agreements between firms and employees, justified by each party’s voluntary “freedom to contract.” However, noncompetes may also generate externalities for all individuals in the market, including those who have not signed such agreements. We theorize that enforceable noncompetes increase frictions in the labor market by increasing uncertainty and recruitment costs, and by curtailing entrepreneurship. We find that in state-industry combinations with a higher incidence and enforceability of noncompetes, the unconstrained receive relatively fewer job offers, have reduced mobility, lower wages, and are less satisfied with their jobs. The results offer policymakers a reason to restrict noncompetes beyond axiomatic appeals to a worker’s “freedom of contract” and highlight labor market frictions that may impact firm-level human capital strategies.

Working Papers and Works in Progress

Signals or Shackles: How Patents Affect Inventor Mobility and Entrepreneurship
How do patents affect the mobility and entrepreneurship of inventors? Prior studies support the notion that patents constrain inventors from leaving their employers. But there are both theoretical and empirical reasons to doubt this conjecture. Theoretically, patents should act as signals of inventor quality, thus, increasing the inventor's opportunities to join or start another firm. Empirically, prior work is plagued by sampling, misclassification, or omitted-variable bias. To overcome misclassification and sampling bias that stems from using patent-based measures of mobility, I assemble a novel dataset of matched US patent and Census micro data. This dataset allows me to observe the wages, employers, and demographics of most US inventors between 1995 and 2008. To overcome omitted-variable bias, I instrument the probability of receiving a patent with the historical leniency of quasi-randomly assigned patent examiners. My findings challenge prior work and caution against patent-based measures of mobility by demonstrating that patents increase inventor mobility and entrepreneurship.