I am broadly interested in three topics:
- How do environmental shocks (e.g. heat waves, regime shifts) influence economic activity, and how do policies, mitigation, and adaptation moderate those effects?
- How can machine learning and econometrics/applied statistics be combined to better answer environmental questions?
- How can tools commonly applied in economics (e.g., program evaluation, dynamic optimization) help improve conservation outcomes?
Publications (Chances are Google Scholar is more up to date)
I. Luby, S. Miller, and S. Polasky. 2022. When and where to protect forests. Nature. Paper
S. Miller, K. Chua, J. Coggins, and H. Mohtadi. 2021. Heat waves, climate change, and economic output. Journal of the European Economic Association. Paper
M. Loreau, M. Barbier, E. Filotas, D. Gravel, F. Isbell, S. Miller, J. Montoya, S. Wang, R. Aussenac, R. Germain, P. Thompson, A. Gonzalez, L. Dee. 2021. Biodiversity as insurance: from concept to measurement and application. Paper
S. Miller. 2020. Causal forest estimation of heterogeneous and time-varying environmental policy effects. Journal of Environmental Economics and Management Paper
L. Dee, D. Okamoto, A. Gårdmark, J. Montoya, and S. Miller. 2020. Temperature variability alters stability and collapse of interacting species populations. (Accepted @ Philosophical Transactions of the Royal Society B) Paper
E. Aceves-Bueno, S. Miller, J. Cornejo-Donoso, and S.D. Gaines. 2020. Cooperation as a solution to shared resources in territorial use rights in fisheries. Ecological Applications. Paper
S. Miller, A. Rassweiler, L. Dee, K. Kleisner, T. Mangin, R. Oliveros-Ramos, J. Tam, F. Chavez, M. Ñiquen, S.E. Lester, M. Burden, S. Gaines, and C. Costello. Optimal harvest responses to environmental forecasts depend on resource knowledge and how it can be used. Canadian Journal of Fisheries and Aquatic Sciences. Paper
S. Miller and R. Startz. 2019. Feasible Generalized Least Squares Using Machine Learning. Economics Letters. Paper
I. De Pellegrin Llorente, H. M. Hoganson, M. Windmuller-Campione, and S. Miller. 2018. Using a Marginal Value Approach to Integrate Ecological and Economic Objectives across the Minnesota Landscape. Forests. Paper
Miller, S.J. and R.T. Deacon, 2017. Mobilizing Markets to Reduce Bycatch in Marine Ecosystems. PERC Policy Series No. 57. Paper
Miller, S.J. and R.T. Deacon, 2017. Protecting Marine Ecosystems: Prescriptive Regulation Versus Market Incentives. Marine Resource Economics. Paper
Aceves-Bueno, E., J. Cornejo-Donoso, S.J. Miller, S.D. Gaines, 2017. Are Territorial Use Rights in Fisheries (TURFs) Sufficiently Large? Marine Policy. Paper
Miller, S.J. and B. Nkuiya, 2016. Coalition formation in fisheries with potential regime shift. Journal of Environmental Economics and Management. Paper
Dee, L.E, S.J. Miller, L.E. Peavey, D.E. Bradley, S.E. Lester, D. Startz, A.D. Ridlon, R. Gentry, S.D. Gaines, 2016. Functional diversity of catch mitigates negative effects of temperature variability on fisheries yields. Proceedings of the Royal Society B. Paper
Boersma, K.S., Dee, L.E., Miller, S., Bogan, M.T. and Lytle, D.A, 2015. Linking multidimensional functional diversity to ecological theory: A graphical hypothesis-driven framework. Ecology. Paper
Deacon, R.T. and S. Miller, 2012. Aligning incentives for fisheries governance: can industry lead the reform process? PERC Research Paper No. 13-3. Paper
Caron, B., D. Toole, P. Wicks, and S. Miller, 2011. DigitalOcean: building a platform for scientific collaboration and social and media sharing on the Drupal content management system. Earth Science Informatics. Paper
Under Review
- U. Jarrett, S. Miller, and H. Mohtadi. Dry spells and global crop production: a multi-stressor and multi-timescale analysis
Sample ongoing projects
L. Dee, S. Miller, K. Helmstedt, K. Boersma, S. Polasky. Quantifying the effect of disturbances on ecosystem services.
S. Miller, E. Clarke, S. Mathews. Do short-term forecasts limit heat-related losses in U.S. crops.?
K. Lee, P.G. Pardey, S. Miller, S. Dehmer. The Development and Drivers of Firm-Level Investments in U.S. Food and Agricultural R&D, 1950-2017.
S. Miller, E. Solomon. The value of forecasts for runoff mitigation.