I am a Ph.D. Candidate (ABD) in STEM-designated Economics at Texas Tech University, specializing in macroeconomics, applied econometrics, and structural quantitative modeling. My research studies how households, firms, and regions adjust to energy, climate, health, and technological shocks.
To interpret these patterns structurally, I develop a heterogeneous-household dynamic stochastic general equilibrium (DSGE) model featuring Ricardian and liquidity-constrained households, household energy expenditures, productive oil, and endogenous labor supply. The calibrated model reproduces the direction and relative ordering of the principal durable and aggregate consumption responses. This shows that limited access to intertemporal smoothing amplifies household welfare losses, while the nondurable response exhibits only partial consistency with the reduced-form estimate.
I then use the energy-environmental extension of the Global Trade Analysis Project (GTAP-E) model to quantify economy-wide adjustments in international trade, production, sectoral allocation, emissions, and welfare. Counterfactual simulations evaluate alternative petroleum-tax relief policies and reveal a policy trade-off: tax relief can mitigate welfare losses from large oil disturbances, but its benefits must be weighed against changes in production, external adjustment, and emissions. The results show that the degree of consumption smoothing is state-dependent and reflects interactions among large oil-price disturbances, household heterogeneity, production adjustment, and international trade.
Methods: IV-GMM · Projections · Bayesian VAR · Heterogeneous-Household DSGE · GTAP Counterfactual Analysis