All Stories

  1. GMM estimation with Brownian kernels applied to income inequality measurement
  2. Practical testing for the normal mixture
  3. Forecasting the Confirmed COVID‐19 Cases Using Modal Regression
  4. Testing a constant mean function using functional regression
  5. The asymmetric response of dividends to earnings news
  6. SEQUENTIALLY ESTIMATING THE STRUCTURAL EQUATION BY POWER TRANSFORMATION
  7. Comprehensively testing linearity hypothesis using the smooth transition autoregressive model
  8. Spillovers between exchange rate pressure and CDS bid-ask spreads, reserve assets and oil prices using the quantile ARDL model
  9. PARAMETRIC CONDITIONAL MEAN INFERENCE WITH FUNCTIONAL DATA APPLIED TO LIFETIME INCOME CURVES
  10. Recent developments of the autoregressive distributed lag modelling framework
  11. Sequentially Estimating the Approximate Conditional Mean Using Extreme Learning Machines
  12. Testing for the sandwich-form covariance matrix of the quasi-maximum likelihood estimator
  13. Pythagorean generalization of testing the equality of two symmetric positive definite matrices
  14. DIRECTIONALLY DIFFERENTIABLE ECONOMETRIC MODELS
  15. Sequentially testing polynomial model hypotheses using power transforms of regressors
  16. Practical Kolmogorov–Smirnov Testing by Minimum Distance Applied to Measure Top Income Shares in Korea
  17. Sequentially Testing Polynomial Model Hypotheses Using Power Transforms of Regressors
  18. Quantile cointegration in the autoregressive distributed-lag modeling framework
  19. Testing linearity using power transforms of regressors
  20. Minimum Distance Testing and Top Income Shares in Korea
  21. Testing the Equality of Two Positive-Definite Matrices with Application to Information Matrix Testing
  22. Testing for Neglected Nonlinearity Using Twofold Unidentified Models under the Null and Hexic Expansions
  23. Testing Equality of Covariance Matrices via Pythagorean Means
  24. TESTING FOR NEGLECTED NONLINEARITY USING EXTREME LEARNING MACHINES
  25. Testing Linearity Using Power Transforms of Regressors
  26. Testing for the effects of omitted power transformations
  27. An Alternative Proof That OLS is BLUE
  28. Higher-Order Approximations for Testing Neglected Nonlinearity
  29. A Three Line Proof that OLS is BLUE
  30. Testing correct model specification using extreme learning machines
  31. Generalized runs tests for the IID hypothesis
  32. Revisiting Tests for Neglected Nonlinearity Using Artificial Neural Networks
  33. Infinite Density at the Median and the Typical Shape of Stock Return Distributions
  34. Testing for unobserved heterogeneity in exponential and Weibull duration models
  35. LAD ASYMPTOTICS UNDER CONDITIONAL HETEROSKEDASTICITY WITH POSSIBLY INFINITE ERROR DENSITIES
  36. LAD Asymptotics Under Conditional Heteroskedasticity with Possibly Infinite Error Densities
  37. Testing for Regime Switching