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NTHRYS › PhD Assistance › Econometrics

Econometrics

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Econometrics

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High-Dimensional Time Series Forecasting Methods
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Causal Inference with Machine Learning Integration
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Dynamic Stochastic General Equilibrium Estimation
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Nonlinear Panel Data Modeling and Estimation
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Spatial Econometrics with Network Analysis
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Functional Data Analysis in Economics
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Quantile Regression with Endogeneity
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Text Analysis and Natural Language Processing Econometrics
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Heterogeneous Agent Computational Methods
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Robust Inference Under Model Misspecification
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Factor Models with Time-Varying Loadings
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Empirical Likelihood Methods in Econometrics
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Weak Identification and Confidence Intervals
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Cryptocurrency and Blockchain Data Econometrics
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Machine Learning Variable Selection Procedures
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Copula-Based Dependence Modeling
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Semiparametric Estimation with Partial Linear Models
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Time Series Segmentation and Structural Breaks
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Mixed Frequency Data Analysis
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Instrumental Variables with Many Instruments
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Nonparametric Identification of Treatment Effects
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High-Frequency Financial Data Econometrics
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Bayesian Structural Vector Autoregression
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Difference-in-Differences with Staggered Treatment
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Spatial Autoregressive Models with Applications
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Nonparametric Regression Discontinuity Design
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Dynamic Treatment Regimes and Policy Evaluation
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Constrained Optimization in Econometric Estimation
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Mixture Models with Latent Classes
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Generalized Method of Moments with Weak Moments
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Synthetic Control Methods and Extensions
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Realized Volatility and Jump Detection
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Mediation Analysis in Econometrics
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Local Projections and Impulse Responses
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Gravity Models with Three-Way Trade Data
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Selection Models with Heterogeneous Selection
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Proxy Variables and Latent Factor Methods
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Robust Variance Estimation Clustering
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Extreme Value Econometrics Applications
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Information Set Choices and Rationality Testing
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Nowcasting with Real-Time Data Revisions
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Partial Identification and Bounds Analysis
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Heterogeneous Effects in Network Experiments
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Constrained Variable Selection Under Sparsity
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Measurement Error in Structural Econometrics
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Count Data Models with Zero Inflation
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Multivariate Volatility and Correlation Dynamics
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Duration Models with Heterogeneous Baseline Hazards
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Network Analysis of Supply Chain Disruptions
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Attention Mechanisms in Economic Forecasting
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Debiased Machine Learning for Policy Evaluation
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Graphical Models and Sparse Causal Discovery
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Reinforcement Learning for Dynamic Optimal Control
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Subgroup Analysis and Heterogeneity Discovery
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Time-Varying Parameter Models with Stochastic Volatility
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Anomaly Detection in Financial Transaction Networks
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Bounds Analysis with Multiple Imperfect Instruments
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Causal Effects in Continuous Treatments with Networks
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Convolutional Neural Networks for Spatial Economic Data
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Cross-Validation and Model Selection Under Dependence
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Demand Estimation with Consumer Preference Heterogeneity
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Double Machine Learning for Treatment Effects
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Economic Interpretability of Deep Learning Models
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Endogenous Stratification and Causal Forests
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Event Study Econometrics with Staggered Events
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Financial Contagion and Systemic Risk Measurement
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Fractional Response Models with Conditional Mean Independence
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Generalized Hausman Tests for Model Adequacy
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Geospatial Regression Discontinuity with Geographic Discontinuities
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Gradient Boosting for Economic Prediction and Heterogeneity
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Heterogeneous Treatment Effects with Multiple Outcomes
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Hidden Markov Models in Macroeconomic Regimes
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Identification in Moment Inequality Models
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Information Set Dependence and Belief Formation
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Integer-Valued Time Series with Overdispersion
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Jackknife and Bootstrap Under Weak Dependence
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Jump Diffusion Models for Asset Prices
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Kernel Regularization for Ill-Posed Inverse Problems
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Labor Market Dynamics with Search Frictions
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Latent Factor Models for Asset Pricing
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Link Functions and Nonlinear Probability Models
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Longitudinal Data with Missing Values and Dropout
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Market Microstructure and Price Impact Estimation
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Matching Estimators with Replacement and Covariate Balance
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Multilevel and Hierarchical Econometric Models
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Multiplicative Unobserved Heterogeneity Models
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Nested Logit and Generalized Extreme Value Choice
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Nonlinear Impulse Responses and Conditional Dynamics
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Nonstationary Cointegrating Relationships with Breaks
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Optimal Bandwidth Selection for Nonparametric Methods
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Ordinal Outcomes and Proportional Odds Models
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Overlap and Common Support in Observational Studies
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Parametric and Nonparametric Specification Tests
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Persistence and Mean Reversion in Time Series
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Probability-Weighted Moment Estimation Methods
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Production Function Estimation with Multiple Outputs
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Reduced-Form vs Structural Inference Tradeoffs
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Restricted Dependence and Copula Inference Methods
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Sample Selection Bias and Control Functions
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Nonstationary Panel Data with Cross-Sectional Dependence
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Asymmetric Price Transmission in Supply Chains
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Moment Condition Selection and Redundancy Testing
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Overlapping Generations Models with Empirical Validation
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Multivariate Time Series with Breaks and Instabilities
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Endogenous Peer Effects and Social Interactions
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Inverse Probability Weighting for Missing Data
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Time-Varying Parameter Vector Autoregressions
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Macroeconomic Uncertainty Quantification Methods
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Discrete Choice Models with Aggregate Data
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Bootstrap Methods for Dependent Observations
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Volatility Clustering and GARCH Extensions
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Demand Estimation with Differentiated Products
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Cointegrating Relationships and Error Correction
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Graphical Models for Causal Structure Discovery
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Matching Methods with Continuous Treatments
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Cross-Sectional Dependence in Macro Panels
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Specification Testing in Nonlinear Models
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Sequential Hypothesis Testing Procedures
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Instrumental Variables for Nonlinear Models
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High-Dimensional Panel Data Regularization
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Auction Models with Unobserved Heterogeneity
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Trend Stationarity Versus Unit Root Testing
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Policy Evaluation with Synthetic Cohorts
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Heterogeneous Treatment Effects with Machine Learning
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Spatial Lag and Error Model Comparison
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Finite Sample Properties of IV Estimators
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Jump Diffusion Models in Finance Econometrics
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Equilibrium Search Models Empirical Implementation
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Distributional Regression and Quantile Processes
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Model Averaging and Information Criteria Selection
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Recursive Forecasting and Real-Time Evaluation
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Bayesian Model Selection and Marginal Likelihood
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Treatment Effect Modification and Interactions
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Financial Contagion and Spillover Effects
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Consumption-Based Asset Pricing Estimation
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Endogenous Regressor Selection and Post-Selection Inference
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Behavioral Econometrics and Expectation Formation
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Multilevel and Hierarchical Data Analysis
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Adaptive Estimation and Semiparametric Efficiency
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Network Formation and Strategic Interactions
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Long-Memory Processes and Fractional Integration
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Bayesian Nonparametric Methods in Economics
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Regression Discontinuity with Fuzzy Assignment
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Impulse Response Confidence Bands Computation
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Consumer Heterogeneity in Demand Systems
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Inference Under Directional Restrictions
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Tax Incidence and Incidence Analysis Methods
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Asymptotic Theory for Dependent Data Structures
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Bayesian Nonparametric Methods in Econometrics
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Bootstrap Methods for Dependent Time Series
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Causal Forests and Heterogeneous Treatment Discovery
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Change Point Detection in Multivariate Systems
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Competing Risks Duration Models with Unobserved Heterogeneity
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Conditional Independence and Graphical Models Econometrics
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Cross-Validation and Model Selection in Econometrics
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Curved Exponential Family Models for Economics
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Deep Learning for Structural Economic Models
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Demand System Estimation with Aggregate Data
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Discrete Choice with Correlated Unobservables
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Distributed Lag Models with Frequency Domain Methods
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Double Machine Learning for Policy Evaluation
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Ecological Inference and Aggregation Bias
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Efficient Semiparametric Estimation with Nuisance Parameters
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Entropy Balancing for Covariate Adjustment
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Exit and Entry Dynamics in Market Equilibrium
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Expectation Formation and Belief Updating Econometrics
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Generalized Linear Models with Spatial Autocorrelation
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Global Sensitivity Analysis in Computational Models
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Grouped Data and Latent Variable Specifications
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Hidden Markov Models for Regime Classification
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Identification Through Economic Restrictions
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Implied Volatility and Option Data Econometrics
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Indirect Inference and Simulation-Based Estimation
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Information Aggregation in Prediction Markets
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Intersection Bounds for Partially Identified Parameters
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Inverse Probability Weighting and Doubly Robust Estimation
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Jointly Modeling Selection and Outcomes
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Kernel and Local Polynomial Estimation
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Leverage and Volatility Feedback Effects
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Limited Dependent Variables with Panel Data
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Linear Hypothesis Testing with Bootstrap Inference
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Local Average Treatment Effect Heterogeneity
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Markov Chain Monte Carlo for Econometric Models
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Moment Inequality Tests and Inequality Constraints
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Monotone Instrumental Variables and Weak Exogeneity
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Multivariate Extreme Value Analysis for Co-Movements
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Nonadditive Unobserved Heterogeneity in Production
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Nonlinear IV and Weak Identification Diagnostics
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Optimal Policy Learning from Observational Data
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Panel Data Models with Cross-Sectional Dependence
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Parameter Stability Testing and Break Dates
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Partial Correlation and Conditional Independence Graphs
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Penalized Likelihood and Ridge Regression Econometrics
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Raking and Calibration for Survey Data Analysis
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Randomization Inference for Field Experiments
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Regularization Path and Variable Importance Ranking
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Reverse Causality Detection and Instrumental Variables
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Adaptive Estimation with Model Uncertainty Sets
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Causal Discovery in High-Dimensional Systems
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Moment Condition Multiplicity and Model Selection
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