Keywords: Water Quality, Non-Market Valuation, Discrete Choice Models, Random Utility Models, Revealed and Stated Preferences, Survey Design and Methods, Recreation Demand, Referendum, Environmental Policy, Maximum Likelihood Estimation, Structural Models, Integrated Assessment Models, Ecosystem Services, Resource Management, Benefit-Cost Analysis


"Structural Estimation of Use and Non-Use Values for Water Quality: Comparing to Simpler ad hoc Approaches"

This study assesses two components of welfare gains from water quality improvements using a structural model of use and non-use values. The combined revealed and stated preference model, based on a random utility travel cost model (RP) and contingent valuation (SP) method, measure both use and non-use values for water resources. I use recreation use and survey referendum data from the Michigan general population, consistently collected in a web-based survey. First, I estimate use values from a recreational demand model based on travel cost and trip-level data that each respondent reported. Then, I use the stated preference data to estimate total values of water quality improvement for changes in statewide water quality. Third, I extend the structural model of Day et al. (2019) to separately identify use and non-use values via joint estimation and validate the methodology. This paper builds on and contributes to literature on methodologies for estimation and delineation of use and non-use values.

• Paper presented at Agricultural & Applied Economics Association Annual Meeting, August 1-3, 2021, Austin, TX.

Draft upon request & will be uploaded soon!

OTHER WORKING PAPERS (* Dissertation Chapters)

1. Disentangling Water Quality Indices to Enhance the Valuation of Divergent Ecosystem Services (with Frank Lupi, Joseph A. Herriges, and R. Jan Stevenson)

A streamlined version invited to Proceedings of the National Academy of Sciences, as part of the special feature section: The Clean Water Act After 50 Years: Innovations in Measuring the Social Benefits of Water Quality for Research and Policy.

Presented at Annual Meeting of USDA Multi-state Group W4133, March 4, 2021, Online.

Paper presented at Agricultural & Applied Economics Association Annual Meeting, August 1-3, 2021, Austin, TX.

2. Estimating Recreation Demand with Incomplete Trip Information: Revealed Preference Approach*

This paper derives valid estimation procedures in recreation demand models with incomplete data on trip locations. Recreation datasets will often lack details on the locations of some or most trips, raising concerns that standard estimators could yield biased results. To address this, I derive a likelihood function that is appropriate with or without complete information on trip locations. Using Monte Carlo simulation, I compare three nested logit estimators. In an empirical application, I use data from a web-based survey of trips in Michigan during summer 2018 to estimate a recreational demand model. Monte Carlo results and empirical results show that a convenient trip-weighting strategy that can be implemented in existing nested logit software closely approximates true values and values from a more complex structural model that fully accounts for the censored data.

Paper presented at MSU AFRE Graduate Research Symposium, March 2020.

Draft upon request & will be uploaded soon!

3. Do You Know Who’s Answering Your Survey? Expanding Threats to the Integrity of Online Panel Data in Environmental and Resource Economics (with Robert J. Johnston, Frank Lupi, Klaus Moeltner, Stefano Crema, Elana Besedin, Stephen Peery, Zhenyu Yao, Tom Nedebele, Joseph A. Herriges)

Abstract will be added soon!

• Paper presented at Association of Environmental and Resource Economists Summer Meeting, June 2-4, 2021, Online.

WORK IN PROGRESS (* Dissertation Chapters)

1. Spatial (Dis)aggregation and The Value of Water and Natural Resources*

This paper examines spatial aggregation and the value of water and natural resources. Lakes and rivers cannot be relocated and spatial context matters ecologically. Thus, estimated benefits from their ecosystem services may depend on the scale of aggregation in an economic model. Using a finer geographical scale for choice set definition in a random utility model of recreation demand along with spatially explicit, fine scale estimates of water quality, I demonstrate how the value of water quality improvements are affected by the scale of economic aggregation. I also test how aggregation-level fixed effects may mitigate for any aggregation bias found in previous studies. Findings will provide implications for watershed and natural resources management decisions and will contribute to methods for estimating recreation demand in the presence of large numbers of substitutes.

• Presentation scheduled at MSU AFRE GSO Brown Bag Seminar, October 2021.

2. Comparing Water Quality Valuation Across Probability and Non-Probability Samples (with K. Sandstrom, F. Lupi, and J.A. Herriges)

Abstract & Draft will be added soon!

• Paper presented at Agricultural & Applied Economics Association Annual Meeting, August 1-3, 2021, Austin, TX.



MSU AFRE GSO Brown Bag Seminar

AAEA & WAEA Joint Annual Meeting, Selected Presentation Papers


AAEA Annual Meeting, Selected Presentation Papers (Cancelled due to COVID)

MSU AFRE GSO Brown Bag Seminar

MSU AFRE Graduate Research Symposium


Graduate Research Assistant at Michigan State University, Fall 2017-Summer 2021

Full-time Research Assistant at Korea Labor Institute, Summer 2017

Full-time Research Assistant at Korea Energy Economics Institute, Spring-Summer 2016

Full-time Trainee at Directorate-General for External Policies of the Union in European Parliament, Brussels, Belgium, Fall 2015

Academic Research Assistant at Korea Development Institute School, Spring-Summer 2015

Full-time Intern at United Nations Environment Programme, Bangkok, Thailand, Fall 2014


Korean Version of European Parliament Traineeship Report is available here: Link1, Link2

Korean Version of UNEP Internship Report is available here