Latest Research in Econometrics

40 research papers · 2026 median publication year

Top Research Topics in Econometrics

Highest-Cited Papers

  1. Efficient estimation in a semiparametric longitudinal data model with unknown time-varying AR error structure
  2. Multi-Absorbing Phase-Type Distributions for Right-Censored Competing Risks Data
  3. Bayesian Sample Size Determination: Sampling Distribution Estimation or Exploration?
  4. Spatially Dependent Indian Buffet Processes
  5. Phase-Synchronized Latent Trajectory Optimization with Automata-Constrained Sequence Synthesis: Theory, Thermostats, and Benchmarks
  6. Bayesian local sensitivity to non-ignorable concurrent missing outcome and covariates: an application to the NHANES data
  7. ReLU Neural Network Approximation to Smooth Functional Operator: Dimensional Decay and Error Analysis
  8. E8-Resonant Phi-Stochastic Tuning for Neural Weight Convergence — E8 Intelligence Research
  9. E8-Resonant Phi-Stochastic Tuning for Neural Weight Convergence — E8 Intelligence Research
  10. Asymptotic Theory for Restricted Maximum Likelihood Estimators in Generalized Linear Mixed Models
  11. Panel threshold regression with unobserved individual-specific threshold effects
  12. No cure for cure models: killed by competing risks
  13. Identification in Linear Quantile Panel Models
  14. Generalized Bayesian Inference using the Bayesian Bootstrap for Survival Models
  15. Bayesian spatiotemporal conditional autoregressive model for local temporal variations
  16. Penalized Likelihood‐Based Estimation of Stratified Semiparametric Cox Models Under Partly Interval Censoring
  17. Conditioning Degenerate Diffusion Models
  18. Neural Variational Cut Posteriors without Upstream Data
  19. gasmodel: An R Package for Generalized Autoregressive Score Models
  20. Competing-Risk Cure Models: A Comprehensive Systematic Review of Methodological Literature
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L3 Region - - 2026 Sep Q3

Econometrics

40 papers

Top Topics (10)

Methodology11
Statistical Methods and Inference8
Econometrics6
Machine Learning4
Statistical Methods and Bayesian Inference2
Stochastic Gradient Optimization Techniques2
Statistics Theory2
Topology Optimization in Engineering1
Spatial and Panel Data Analysis1
Machine Learning1

Top Publications (20)

1.Efficient estimation in a semiparametric longitudinal data model with unknown time-varying AR error structure2.Multi-Absorbing Phase-Type Distributions for Right-Censored Competing Risks Data3.Bayesian Sample Size Determination: Sampling Distribution Estimation or Exploration?4.Spatially Dependent Indian Buffet Processes5.Phase-Synchronized Latent Trajectory Optimization with Automata-Constrained Sequence Synthesis: Theory, Thermostats, and Benchmarks6.Bayesian local sensitivity to non-ignorable concurrent missing outcome and covariates: an application to the NHANES data7.ReLU Neural Network Approximation to Smooth Functional Operator: Dimensional Decay and Error Analysis8.E8-Resonant Phi-Stochastic Tuning for Neural Weight Convergence — E8 Intelligence Research9.E8-Resonant Phi-Stochastic Tuning for Neural Weight Convergence — E8 Intelligence Research10.Asymptotic Theory for Restricted Maximum Likelihood Estimators in Generalized Linear Mixed Models11.Panel threshold regression with unobserved individual-specific threshold effects12.No cure for cure models: killed by competing risks13.Identification in Linear Quantile Panel Models14.Generalized Bayesian Inference using the Bayesian Bootstrap for Survival Models15.Bayesian spatiotemporal conditional autoregressive model for local temporal variations16.Penalized Likelihood‐Based Estimation of Stratified Semiparametric Cox Models Under Partly Interval Censoring17.Conditioning Degenerate Diffusion Models18.Neural Variational Cut Posteriors without Upstream Data19.gasmodel: An R Package for Generalized Autoregressive Score Models20.Competing-Risk Cure Models: A Comprehensive Systematic Review of Methodological Literature
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