This paper documents the MINDSET 2.0 model, a global simulation model used to evaluate how climate change, climate policies, and other development and trade policies affect macroeconomic, sectoral, and labor market outcomes. The model is demand-driven and incorporates empirically estimated behavioral equations, energy system dynamics via the FTT:Power framework, and detailed trade linkages across up to 163 countries and 120 regions.
@article{kissdobronyi2026mindset,title={MINDSET 2.0 Model Documentation},author={Kiss-Dobronyi, Bence and Brancher, Marco and Dorband, Ira Irina and Pollitt, Hector and Byambasuren, Binderiya and Lin, Xinru and Hartvig, Aron Denes and Lehr, Ulrike},year={2026},month=feb,}
JEPR
Gender Employment Effects of Climate Change Mitigation Scenarios in Emerging Economies
Franziska
Deininger, Bence
Kiss-Dobronyi, Binderiya
Byambasuren, Ulrike
Lehr, and Ira Irina
Dorband
Journal of Economic Policy Reform, Forthcoming 2026
This paper examines the gendered employment effects of climate change mitigation policies in emerging economies, analyzing how the transition to a low-carbon economy differentially impacts male and female workers across sectors and regions.
@article{deininger2026gender,title={Gender Employment Effects of Climate Change Mitigation Scenarios in Emerging Economies},author={Deininger, Franziska and Kiss-Dobronyi, Bence and Byambasuren, Binderiya and Lehr, Ulrike and Dorband, Ira Irina},journal={Journal of Economic Policy Reform},year={2026},month={Forthcoming},}
2025
SSRN
Estimation of Behavioral Parameters for the MINDSET 2.0 Model: Methodology and Results
Marco
Brancher, Binderiya
Byambasuren, Bence
Kiss-Dobronyi, Xinru
Lin, Aron Denes
Hartvig, Ira Irina
Dorband, Hector
Pollitt, and Ulrike
Lehr
This document provides a review of the estimation of behavioural parameters for the MINDSET 2.0 model, including estimation choices and a discussion of estimated parameters. In total, six economic and seven energy equations are estimated across nine regions and 21 economic sectors, yielding over 2,000 estimated specifications. The estimations draw on global, sectoral datasets with the broadest feasible coverage using a fixed-effects panel econometric approach.
@article{brancher2025estimation,title={Estimation of Behavioral Parameters for the MINDSET 2.0 Model: Methodology and Results},author={Brancher, Marco and Byambasuren, Binderiya and Kiss-Dobronyi, Bence and Lin, Xinru and Hartvig, Aron Denes and Dorband, Ira Irina and Pollitt, Hector and Lehr, Ulrike},year={2025},month=aug,}
SSRN
Data Documentation for MINDSET 2.0 Parametrization
Marco
Brancher, Bence
Kiss-Dobronyi, Binderiya
Byambasuren, Xinru
Lin, Aron Denes
Hartvig, Ira Irina
Dorband, Hector
Pollitt, and Ulrike
Lehr
This document provides an overview of the data sources and data transformations that were used to prepare a global dataset for estimating behavioral parameters for the MINDSET 2.0 model. It details the construction of consistent cross-country panel data covering macroeconomic, sectoral, trade, and energy variables.
@article{brancher2025data,title={Data Documentation for MINDSET 2.0 Parametrization},author={Brancher, Marco and Kiss-Dobronyi, Bence and Byambasuren, Binderiya and Lin, Xinru and Hartvig, Aron Denes and Dorband, Ira Irina and Pollitt, Hector and Lehr, Ulrike},year={2025},month=aug,}
WB
Evaluating the Impact of Clean Cookstoves on Health, Time Use, and Charcoal Consumption: A Randomized Controlled Experiment in Lao PDR
Binderiya
Byambasuren, Hillary
Johnson, Tobias
Pfutze, and Akaravuit
Pancharoen
This study evaluates the impact of clean cookstove adoption on health outcomes, time use, and charcoal consumption using a randomized controlled experiment conducted in Lao PDR as part of the World Bank’s East Asia Pacific Gender Innovation Lab.
@article{byambasuren2026cookstoves,title={Evaluating the Impact of Clean Cookstoves on Health, Time Use, and Charcoal Consumption: A Randomized Controlled Experiment in Lao PDR},author={Byambasuren, Binderiya and Johnson, Hillary and Pfutze, Tobias and Pancharoen, Akaravuit},year={2025},month=jun}
IWPR
The Intersection of Workplace Flexibility and Exercise by Gender, Race, and Ethnicity
Binderiya
Byambasuren, Ariane
Hegewisch, and Robyn
Watson Ellerbe
This report examines racial, ethnic, and gender equity in access to flexible working practices since the COVID-19 pandemic, and investigates how workplace flexibility intersects with exercise and health behaviors across demographic groups.
@article{byambasuren2025flexibility,title={The Intersection of Workplace Flexibility and Exercise by Gender, Race, and Ethnicity},author={Byambasuren, Binderiya and Hegewisch, Ariane and Watson Ellerbe, Robyn},year={2025},month=feb,publisher={Institute for Women's Policy Research},}
2023
CFS
Family Caregiving at Older Ages: Implications for Adult Children by Race and Ethnicity
As the demography ages, the demand for family care is expected to rise rapidly in the United States. Using the 1998-2019 Health and Retirement Study, this paper documents the disability and family care trajectories of elderly individuals aged 50 and over and examines the effect of family care on employment for adult children across racial and ethnic groups.
@article{byambasuren2023caregiving,title={Family Caregiving at Older Ages: Implications for Adult Children by Race and Ethnicity},author={Byambasuren, Binderiya},year={2023},month=aug,publisher={Center for Financial Security, SSA Retirement and Disability Research Consortium},}
Dissertation examining long-term care dynamics and family caregiving patterns in the United States, developing a cournot-nash game between adult siblings to provide family care to an elderly parent.
@phdthesis{byambasuren2023ltc,title={Long-Term Care and Family Caregiving},author={Byambasuren, Binderiya},year={2023},month=aug}
2020
CWE
Options for Modeling the Distributional Impact of Care Policies Using a General Equilibrium Framework
Marzia
Fontana, Binderiya
Byambasuren, and Carmen
Estrades
This paper reviews gender-aware Computable General Equilibrium models and their potential for evaluating the distributional effects of care policies, highlighting the need for incorporating unpaid care work, labor market imperfections, and dynamic processes to better capture gendered economic outcomes.
@article{fontana2020care,title={Options for Modeling the Distributional Impact of Care Policies Using a General Equilibrium Framework},author={Fontana, Marzia and Byambasuren, Binderiya and Estrades, Carmen},year={2020},month=apr,publisher={Care Work and the Economy (CWE-GAM), American University},}