All Stories

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