I am a PhD candidate in the Economics Department at Boston University.
My research interests are in economic growth, innovation, entrepreneurship, and finance. I also have interests in the use of text as data to measure creation, implementation and adoption of technologies.
I am on the job market and I will be available for interviews at the ASSA 2023.
Abstract: Economists have long struggled to understand why aggregate TFP growth has dropped in recent decades while the number of new patents filed has steadily increased. I offer an explanation for this puzzling divergence: the creativity embodied in US patents has dropped dramatically over time. To separate creative from derivative patents, I develop a novel, text-based, measure of patent creativity: the share of two-word combinations that did not appear in previous patents. I show that only creative and not derivative patents are associated with significant improvements in firm level productivity and stock market valuations. Using the measure, I show that younger inventors on average file more creative patents. To estimate the effect of changing US demographics on aggregate creativity and productivity growth, I build a growth model with endogenous creation and adoption of technologies. In this model, falling population growth explains 42% of the observed decline in patent creativity, 32% of the slowdown in productivity growth, and 15% of the increase in derivative patenting.
"Diffusion of Disruptive Technologies" (2021) with Nicholas Bloom, Tarek Hassan, Josh Lerner, and Ahmed Tahoun. (Reject and resubmit - Quarterly Journal of Economics)
Abstract: We identify novel technologies using textual analysis of patents, job postings, and earnings calls. Our approach enables us to document the diffusion of 29 disruptive technologies across firms and labor markets in the U.S. Four stylized facts emerge from our data. First, as technologies mature and the number of new jobs related to them grows, they gradually spread across space. While initial hiring is concentrated on high-skilled jobs, over time the mean skill level in new positions associated with the technologies declines, broadening the types of jobs that adopt a given technology. At the same time, the geographic diffusion of low-skilled positions is significantly faster than higher-skilled ones, so that the locations where initial discoveries were made retain their leading positions among high-paying positions for decades. Finally, such technology hubs are more likely to arise in areas with universities and high skilled labor pools.
Work in Progress:
International knowledge diffusion: Role of immigration and foreign direct investment
Abstract: Using textual analysis of patents, I develop a new measure to identify international knowledge diffusion. Using this measure, I provide empirical evidence to highlight drivers, benefits and frictions of knowledge diffusion. First, I show that knowledge diffusion is embodied in migrants, trade and foreign direct investment. Second, knowledge diffusion from advanced countries is associated with higher firm value and higher productivity. Third, vast majority of variation in my measure is at the firm level, not at the country or the sector level. This suggests a role of firm-level frictions in diffusion of knowledge across countries.
Silicon Valley: A hub for creativity or learning?