@article{chizmar_parajuli_bruck_frey_sills_2023, title={Forest-Based Employment in the Southern United States amidst the COVID-19 Pandemic: A Causal Inference Analysis}, volume={11}, ISSN={["1938-3738"]}, url={https://doi.org/10.1093/forsci/fxad042}, DOI={10.1093/forsci/fxad042}, abstractNote={
 In response to the COVID-19 pandemic, some governments instituted mandatory stay-at-home policies. As these policies made exceptions for essential industries such as the forest sector, it is not clear a priori whether and how these policies would affect forest-based employment. This study examined the effect of mandatory stay-at-home orders on employment in the forest sector in forest dependent counties in eleven southern states in the United States. We estimated panel event study models in addition to difference-in-difference models to evaluate the policy effects with respect to initial treatment as well as average effects to the treated counties during treatment. We found that employment in wood product manufacturing was lower on average in counties under a lockdown order compared with employment in counties without an active order. We also found that employment in the aggregate forest sector in counties that implemented the policy was significantly lower than employment in counties without the policy up to 9 months following initial enactment compared with the underlying difference between treated and control counties one month prior to treatment. Overall, our findings suggest that lockdown policies had a limited effect on employment in essential industries such as wood-based manufacturing sectors in the southern states.
 Study Implications: This study uses causal inference techniques to assess the effect of lockdown orders on forest-based employment in 11 southern states. Results suggest effects of lockdown orders were limited to the aggregate forest sector and wood product manufacturing, likely due to the rapid designation of the sector as essential and the reduced production of sawmills. The other industries within the sector were not significantly affected, implying that industries designated as essential may be more resilient to short-term shocks. These findings can be used to inform discussions on potential policy responses to future disasters, including how different interventions interact with one another.}, journal={FOREST SCIENCE}, author={Chizmar, Stephanie and Parajuli, Rajan and Bruck, Sonia and Frey, Gregory and Sills, Erin}, year={2023}, month={Nov} }
 @article{frey_wilkens_bruck_2022, title={Development of a framework for understanding unsold timber offerings from the US National Forest System}, ISSN={["1360-0559"]}, DOI={10.1080/09640568.2022.2108387}, abstractNote={Timber sales from the US National Forest System (NFS) can provide ecological and economic benefits. Unsold (“no-bid”) offerings can result in delays, additional costs, and missed targets. We used mixed methods, including analysis of administrative data, synthesis of research, and semi-structured interviews to understand situations considered “no-bid” offerings by different stakeholders. We measured prevalence, identified causes, and generated a framework for communicating interlinkages. From 2007 to 2020, the volume not sold at first offering was 11.9% nationally. However, a substantial amount is sold subsequently, leaving 2.7% never sold. Regions with the highest percentage never sold include Alaska, Southwestern, and Pacific Southwest. A new conceptual framework developed from a literature review and interviews with NFS and industry employees identified proximate causes and underlying factors. Proximate causes include road construction, equipment requirements, and timber condition; whereas underlying factors include staffing, communication, and appraisal methods. These insights can aid communication and help develop future strategies.}, journal={JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT}, author={Frey, Gregory E. and Wilkens, Philadelphia and Bruck, Sonia R.}, year={2022}, month={Aug} }