Approximations to Some Finite Sample Distributions Associated with a First-Order Stochastic Difference Equation

From MaRDI portal
Publication:4120017

DOI10.2307/1911222zbMath0349.62070OpenAlexW1969283701MaRDI QIDQ4120017

Peter C. B. Phillips

Publication date: 1977

Published in: Econometrica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/1911222



Related Items

Small sample properties of forecasts from autoregressive models under structural breaks, THE APPROXIMATE MOMENTS OF THE LEAST SQUARES ESTIMATOR FOR THE STATIONARY AUTOREGRESSIVE MODEL UNDER A GENERAL ERROR DISTRIBUTION, HIGHER ORDER ASYMPTOTIC THEORY WHEN A PARAMETER IS ON A BOUNDARY WITH AN APPLICATION TO GARCH MODELS, Bias in dynamic panel estimation with fixed effects, incidental trends and cross section dependence, Monte Carlo response surfaces: A comparative approach, BARTLETT CORRECTION IN THE STABLE AR(1) MODEL WITH INTERCEPT AND TREND, A general result on the estimation bias of ARMA models, Least-squares, Yule-Walker, and overdetermined Yule—Walker estimation of AR parameters: a Monte Carlo analysis of finite-sample properties, REFINED TESTS FOR SPATIAL CORRELATION, Closed forms for asymptotic bias and variance in autoregressive models with unit roots, DISTRIBUTION OF THE LEAST SQUARES ESTIMATOR IN A FIRST-ORDER AUTOREGRESSIVE MODEL, Exact distributions, density functions and moments of the least squares estimator in a first-order autoregressive model, Structural change and unit roots, VISION AND INFLUENCE IN ECONOMETRICS: JOHN DENIS SARGAN, Asymptotic expansions of the distributions of some test statistics for Gaussian ARMA processes, The restricted likelihood ratio test for autoregressive processes, The exact multi-period mean-square forecast error for the first-order autoregressive model, Estimation in dynamic regression with an integrated process, On calculating the Edgeworth approximate distribution of an econometric estimator or test statistic, ESTIMATION AND INFERENCE WITH NEAR UNIT ROOTS, Higher order approximations for autocovariances from linear processes with applications, Unnamed Item, The second-order bias and mean squared error of estimators in time-series models, Edgeworth approximations in first-order stochastic difference equations with exogenous variables, On the behavior of inconsistent instrumental variable estimators, A reply to Professors Maasoumi and Phillips, TRANSFORMATIONS FOR MULTIVARIATE STATISTICS, Nearly weighted risk minimal unbiased estimation, EXPANSIONS FOR THE DISTRIBUTION OF THE MAXIMUM LIKELIHOOD ESTIMATOR OF THE FRACTIONAL DIFFERENCE PARAMETER, Convergence rates in the central limit theorem for means of autoregressive and moving average sequences, Asymptotics for LS, GLS, and feasible GLS statistics in an AR(1) model with conditional heteroskedasticity, PROFILE SUMMARIES FOR ARIMA TIME SERIES MODEL PARAMETERS, Edgeworth expansions in Gaussian autoregression, An approximation to the finite sample distribution of Zellner's seemingly unrelated regression estimator, Smoothing local-to-moderate unit root theory, The sampling distribution of forecasts from a first-order autoregression, Hybrid stochastic local unit roots, THIRD-ORDER ASYMPTOTIC PROPERTIES OF ESTIMATORS IN GAUSSIAN ARMA PROCESSES WITH UNKNOWN MEAN, Forecast accuracy and effort: The case of US inflation rates, Edgeworth and Moment Approximations: The Case of MM and QML Estimators for the MA(1) Models, A comparison of LS/ML and GMM estimation in a simple AR(1) model, Adjusted estimates and Wald statistics for the AR(1) model with constant, ASYMPTOTIC EXPANSIONS FOR THE DISTRIBUTION OF AN ESTIMATOR IN THE FIRST-ORDER AUTOREGRESSIVE PROCESS, Higher-order approximations for frequency domain time series regression, Asymptotic properties of the maximum likelihood estimate in the first order autoregressive process, Distribution of the mean reversion estimator in the Ornstein–Uhlenbeck process, Higher-order least squares inference for spatial autoregressions, The sampling distributions of the predictor for an autoregressive model under misspecifications, Higher order approximations for Wald statistics in time series regressions with integrated processes.