Agarwal, S., Ghosh, P., & Zhang, J. (2025). Tax policy transmission and household expenditures.  The Review of Economics and Statistics 2025. https://doi.org/10.1162/rest_a_01584

Using a novel scanner data and difference-in-differences strategy, we assess how consumers respond to a large-scale tax reform in India that introduces exogenous variations in tax rate changes at the product level. We show evidence of a strong and persistent spending response to tax rate changes. The response is highly asymmetrical, with consumers responding significantly more strongly to tax rate increases than to decreases. We find empirical support for both intertemporal and cross-product substitution effects: Households (1) shift consumption forward preceding a tax increase and (2) substitute one good for another and alter their relative weight in the consumption basket to avoid paying higher tax. Heterogeneity analysis indicates that consumers with more personal shopping experience exhibit stronger consumption responses. Our findings have empirical implications for the efficacy of tax policy initiatives.

Santana, J. J., & Kim, S. (2025). From values to codes: A computational text analysis of the codification of occupational ethics. Organization Studies, 0(0). https://doi.org/10.1177/01708406251317255

The institutionalization of occupations tends to assume homogenization of occupational values. This study addresses the question of how members of an occupation with dissenting preferences reach consensus on a code of ethics. We build on prior theorization of occupational institutionalization and institutional discourse to theorize ethical codification as a dynamic discursive process of internal dissent and consensus culminating in a professional code of ethics. We use email data from the IEEE-ACM Software Engineering Ethics and Professional Practice Committee tasked with producing the 1997 Software Engineering Code of Ethics to show how ethical codification follows a process of initial competition followed by semantic convergence. This study demonstrates how natural language processing and semantic network analysis can contribute to discourse analyses of institutional processes.

Gefen, O., Reeb, D. & Sulaeman, J. (2023) Startups’ demand for accounting expertise: evidence from a randomized field experiment. Review of Accounting Studies, https://doi.org/10.1007/s11142-023-09775-8

This paper examines whether startup companies prefer investors with accounting expertise. To test this, we conducted an experiment with over 13,000 startup companies in the US, sending them emails pretending to be interested investors, some with accounting certifications (CPA) and some without any special credentials. As a result, we found that the startups were more likely to respond to the emails from the investors with CPA certifications. This preference held even when the investors pretended to be different types of investors, such as angel investors or venture capitalists. This shows that startups value accounting expertise in their investors significantly. In a follow-up experiment, we found that startups preferred CPA-certified investors over those with a general business degree (MBA), reinforcing the importance of accounting expertise to them.

Lin, Y., Qin, Y., Sulaeman, J., Yan, J., & Zhang, J. (2023). Expanding footprints: The impact of passenger transportation on corporate locations. Review of Finance, 2023, 27, 1119–1154. https://doi.org/10.1093/rof/rfac049 

Transportation plays a vital role in shaping where businesses thrive and grow. This study explores how making travel more convenient can help businesses expand into new areas and enhance communication between investors and companies. We focus on the effects of improving passenger travel in China through the High-Speed Rail (HSR) system. Using over 1 million firm-to-firm investment observations over the 12-year period, we find that when two cities are directly connected by HSR, the number of investments between them increases significantly by 8%, and the amount of investment grows by 45%. These results hold even when we account for differences between city pairs and local factors that might influence HSR route choices. Our results suggest that improved monitoring and access to information are essential drivers of the HSR’s effects.

Sulaeman, J., & Zhang, W. (2023). Carbon credits: Catalyzing green finance. Bank of Singapore (BOS) and Ernst & Young Global Limited (EY). https://www.bankofsingapore.com/managed-resources/pdf/BOS-EY-ESG%20report%20on%20Carbon%20Credits_2023.pdf