Datasets

Throughout my academic and professional journey, I have worked extensively with a diverse set of high-quality climate, agricultural, and international trade databases. My research draws on major climate and weather datasets such as PRISM, CMIP6, CRU, and EM-DAT; agricultural and economic datasets including USDA NASS and USDA ERS; and global trade and macroeconomic datasets from USITC, UNCTAD, the Penn World Table, and the World Development Indicators. These databases form the empirical foundation of my dissertation research, job market paper, and applied economic analyses, allowing me to evaluate climate impacts, production responses, and global trade dynamics with precision and depth. 

PRISM Climate Data

PRISM provides high-resolution daily temperature and precipitation data for the United States.

I utilized PRISM daily tmin, tmax, and precipitation data in my PhD job market paper, titled "Weather Extremes and Agricultural Trade: Evidence from Corn and Soybean Production in the U.S. Midwest." PRISM allowed me to measure local exposure to extreme heat and rainfall at a fine spatial scale.

CMIP6 Climate Projections

CMIP6 offers global climate model projections widely used for climate impacts research.

In my job market paper, I utilized CMIP6 daily projections (tmin, tmax, precipitation) from the NorESM2 and CESM2 models to simulate how future climate change may impact corn and soybean production and alter state-level agricultural exports. 

EM-DAT Disaster Database

EM-DAT contains global records of natural disasters, including floods, droughts, cyclones, and heatwaves. 

I utilize EM-DAT in my second dissertation, which analyzes how climate disasters impact rice and wheat trade in South Asia and Southeast Asia. EM-DAT provides the disaster frequency and intensity measures used to quantify climate shock exposure. 

USDA NASS (National Agricultural Statistics Service)

NASS provides detailed U.S. county-level production, yield, acreage, and crop conditions data. 

I used NASS data in my job market paper to measure county-level corn and soybean production responses to extreme weather conditions. 

USDA ERS (Economic Research Service)

ERS offers U.S. export data, commodity indicators, and market intelligence.

In my job market paper, I used the ERS export series to connect climate-driven production shocks with state-level export outcomes for corn and soybeans. 

USITC DataWeb

USITC provides bilateral trade data at detailed HS and NAICS product levels.

I used USITC data in my second dissertation essay to examine how climate disasters influence U.S. rice and wheat trade flows with importing countries in South and Southeast Asia. 

UNCTAD Statistics

UNCTAD supplies global trade, FDI, tariff, and economic structural data. 

I used UNCTAD data in my 2024 published paper on FDI, innovation, absorptive capacity, and regulatory quality to build the cross-country indicators for global investment and institutional conditions. 

Penn World Table (PWT)

PWT provides internationally comparable national accounts data such as GDP, productivity, capital stock, and population. 

In my 2024 published paper, I used PWT variables to capture cross-country productivity and structural differences when analyzing how absorptive capacity shapes the FDI–innovation relationship.

World Development Indicators (WDI)

WDI contains comprehensive global socioeconomic data, including GDP, regulatory indicators, education, infrastructure, and governance. 

I used WDI in my 2024 published paper to construct institutional quality and development indicators required for the analysis of how regulatory frameworks influence innovation outcomes.