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.

Job Market Paper
Consumer Demand and Household Welfare under Large Oil-Price Shocks: Evidence and Structural Interpretation
Macroeconomics · Energy Economics · Consumption Dynamics
This paper examines whether consumption smoothing, a central implication of the Life-Cycle/Permanent-Income Hypothesis (LCPIH), remains stable in the presence of large, modern oil-price disturbances. Using U.S. data and exploiting major oil-price episodes in 2008, 2020, and 2022, I find pronounced state dependence in household consumption adjustment. Durable expenditure responds substantially more strongly than nondurable consumption during severe oil-price disturbances. Correspondingly, the estimated excess-sensitivity coefficient rises significantly, indicating a weakening of households’ ability to smooth consumption.

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

Fields
Macroeconomics · Applied Econometrics · Household Finance · Energy Economics · AI Economics
Job Market
2026–2027 Academic Year
Awards 2026
Covenant Health & Social Services Fellowship I.C. Enoch III Scholarship Founder General Fellow, The Philadelphia Society TTU International Affairs Scholarship
Job Market Paper
Job Market Paper · Macroeconomics · Energy Economics · Household Finance · DSGE
Methods: IV-GMM · Projections · Bayesian VAR · Heterogeneous-Household DSGE · GTAP Counterfactual Analysis
  • Examines how large oil-price shocks disrupt household consumption smoothing, welfare, and economic resilience under borrowing and adjustment frictions.
  • Estimates dynamic adjustment in durable, nondurable, and total consumption during the 2008 oil spike, the 2020 collapse, and the 2022 Ukraine oil price shock.
  • Combines causal evidence from historical oil-price shocks with a heterogeneous-household DSGE framework to quantify consumption responses, welfare losses, and policy effectiveness.
  • Maps household adjustment failures into trade-related welfare effects using GTAP counterfactual analysis.
Dissertation Research
AI-Induced Trade Exposure and Strategic Concentration Risk in the United States
Working Paper · Trade Economics · AI Economics · Strategic Supply Chains
  • Constructs a novel panel measure of AI exposure by combining patent-based technology intensity with HS-sector trade composition and bilateral import networks.
  • Studies how frontier technology shocks reorganize trade through strategic concentration.
  • Develops sector- and region-level indicators of AI-related technological adjustment.
  • Uses panel fixed effects, event-study designs, Projections, and Bayesian VAR models.
Local Labor Market Adjustment to Wildfire Shocks: Evidence from U.S. Counties
Working Paper · Environmental Economics · Labor Economics · Regional Resilience
  • Constructs a county-level wildfire exposure panel using MTBS, PRISM climate data, and QCEW employment records.
  • Studies how climate shocks affect local labor-market adjustment and regional economic resilience.
  • Estimates heterogeneous employment responses and spatial recovery patterns.
  • Uses Panel local projections, stacked first-event diagnostics, multiway clustered inference, specification and treatment sensitivity analysis, and calibrated mechanism decomposition.
Selected Policy Research in Progress
Medicare Eligibility and Household Economic Resilience
Health Economics · Public Economics · Policy Evaluation
  • Uses a fuzzy regression discontinuity design and PSID data from 2013–2023 to identify Medicare's causal effects on healthcare utilization, spending, debt, labor supply, and financial resilience.
  • Examines how public insurance access affects consumption smoothing, economic vulnerability, and retirement behavior around the Medicare eligibility threshold.
  • Uses instrumental variables, covariate balance tests, placebo cutoffs, and bandwidth sensitivity analysis.
  • Develops a structural life-cycle extension linking health shocks, insurance, labor supply, and savings.
An Agent-Based LLM Framework for Inflation Forecasting: Evidence from Federal Reserve Communications
Monetary Economics · AI Economics · Forecasting · Text-as-Data
  • Develops an agent-based New Keynesian model in which households, firms, and policymakers form expectations using macroeconomic indicators and Federal Reserve communications.
  • Integrates LLM-based expectation operators with text-derived signals extracted from FOMC statements using FinBERT and text-as-data methods.
  • Constructs a real-time information set combining inflation, unemployment, industrial production, interest rates, and central-bank communication.
  • Preliminary results indicate that communication-augmented forecasts outperform random-walk and autoregressive benchmarks in predicting U.S. inflation.
Additional Research Projects
Preparing Students for an AI Economy
Economics of Education · AI Policy · Workforce Development
  • Analyzes state education-policy and institutional adjustments to AI-driven labor-market change.
  • Measures regional heterogeneity in AI preparedness and workforce readiness.
  • Uses Difference-in-Differences, event-study methods, and policy evaluation frameworks.
Digitalization and Citizen Complaints: Evidence from NYC 311 Data
Public Economics · Urban Economics · Digital Government
  • Studies how digital platforms affect citizen reporting, government responsiveness, and public-service delivery.
Selected Publications
Economic Structuration and Environmental Kuznets Curve
Journal of Business Administration · 2025 · Environmental Economics
Determinants of Profitability of Private Banks in Bangladesh
IGDIR University Journal of Social Sciences · 2017 · Banking & Finance
Teaching Philosophy

My teaching philosophy emphasizes economic intuition, analytical rigor, and evidence-based policy analysis. I guide students from economic intuition to formal models and empirical evidence using contemporary topics such as inflation, energy markets, artificial intelligence, climate policy, and international trade.

Across undergraduate and graduate courses, I emphasize causal reasoning, quantitative methods, reproducible research, and effective economic communication. Students learn not only economic theory but also how to apply modern econometric and computational tools to answer policy questions.

I integrate real-world datasets, Python, R, FRED, and AI-assisted data analysis into classroom instruction to prepare students for graduate study, research, government service, and industry careers.

Academic Appointments

Texas Tech University

  • Graduate Part-Time Instructor
    Department of Economics
    2025–Present
  • Research Consultant (Accounting Research)
    Lyons School of Accounting, Rawls College of Business
    2026–Present
  • Graduate Teaching Assistant
    Department of Economics
    2023–2025

University of Chittagong

  • Assistant Professor
    Department of Economics
    On study leave
  • Lecturer
    Department of Economics
  • Adjunct Faculty
    Multiple universities in Bangladesh
Research & Student Mentoring

Research Experience

  • Bayesian VAR and DSGE modeling
  • GTAP and Computable General Equilibrium analysis
  • Instrumental Variables and Local Projections
  • Large-scale archival data analysis
  • R, Python, STATA, MATLAB

Teaching & Mentoring

  • Led undergraduate discussion and review sessions
  • Designed assignments and examinations
  • Mentored students in empirical research
  • Integrated AI-assisted reproducible research into coursework
Professional Development

Selected Programs

  • BITSS Research Transparency Training
  • Macrofinance Society Summer School
  • Midwest Institutes Conference
  • IHS Political Economy of Emerging Technology
  • UC Berkeley Sloan Environment & Energy Program

Professional Memberships

  • American Economic Association
  • Econometric Society
  • National Association for Business Economics
  • The Institute for Humane Studies
  • Bangladesh Economic Association
  • SANDEE
Service
  • Graduate Research Competition Judge, Texas Tech University
  • TTU Global Guide Ambassador
  • Volunteer, International Affairs Programs
  • International Graduation Ceremony Volunteer
  • UNH Graduate Student Senator

Selected Honors

  • TTU Cash Family Endowed Fellowship
  • Dr. Rashid B. Al-Hmoud Scholarship
  • UNH Graduate Dean Fellowship
  • TTU Raiders Defending Life Scholarship
  • CU Graduate Fellowship
Contact

Email: mdmohiud@ttu.edu

Department of Economics, Texas Tech University, Lubbock, Texas

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