Research | Tianxiang Zheng (郑天翔)

Research Focus

My research focuses on technology adoption, development economics, and labor markets in emerging economies. I use a mix of empirical methods, field experiments, and computational techniques to study how technological change impacts economic outcomes.

Technology & Work

Investigating how technology innovation and adoption reshape organizational structures and impact labor markets in developing economies.

Development Economics

Studying individual decision-making processes and the implications of technological change in developing country contexts.

Urban Economics

Exploring how behavioral heuristics and social norms influence inequality and perpetuate biases in urban environments.

Publications

Published Papers

Deep Learning Approaches to Economic Forecasting

Journal of Computational Economics, 2023

Zheng, T., & Smith, J. Deep Learning Forecasting

A novel approach combining recurrent neural networks with traditional econometric models for improved economic forecasting accuracy and interpretability.

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Algorithmic Market Design: Efficiency and Fairness

American Economic Review, 2022

Johnson, R., Zheng, T., & Williams, A. Market Design Algorithms

Exploring how algorithm design impacts market outcomes and participant welfare, with applications to matching markets and resource allocation.

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Working Papers

Data, Technology, and Firm Dynamics: An LLM-Based Analysis

Extended Abstract Available

Zheng, Tianxiang Technology Adoption LLM

Examining the effects of technology adoption on workforce composition and wage inequality in developing economies, using firm-level data from Southeast Asia.

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Spatial Spillovers of Technology Adoption in Urban Settings

Working Paper, 2023

Zheng, T., & Garcia, M. Spatial Economics Urban Development

Analyzing how technological innovations diffuse across urban environments and their economic impact, using geospatial data and network analysis.

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Work in Progress

Behavioral Heuristics and Technology Adoption Decisions

In Progress, Expected 2024

Zheng, T., & Lopez, R. Early stage

Investigating how cognitive biases influence technology adoption decisions among small businesses in developing economies through a series of field experiments.

Social Networks and Information Diffusion in Labor Markets

In Progress, Expected 2024

Zheng, T., Chen, L., & Kumar, S. Data collection

Exploring how social connections shape information flows about job opportunities and skills training in both formal and informal labor markets.

Collaborators

I'm fortunate to work with talented researchers around the world

Dr. Jane Smith

Stanford University

Dr. Robert Johnson

MIT

Dr. Maria Garcia

University of Barcelona

Dr. Li Chen

Peking University

Interested in Collaborating?

I'm always open to new research opportunities and collaborations. Feel free to reach out to discuss potential projects.

Get in Touch