Parcourir Faculté des arts et des sciences – Département de sciences économiques - Travaux et publications par sujet "bootstrap"
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Asymptotic Distribution of a Simple Linear Estimator for VARMA Models in Echelon Form
(Université de Montréal. Département de sciences économiques., 2005)In this paper, we study the asymptotic distribution of a simple two-stage (Hannan-Rissanen-type) linear estimator for stationary invertible vector autoregressive moving average (VARMA) models in the echelon form representation. General conditions for ... -
Exact Nonparametric Two-Sample Homogeneity Tests for Possibly Discrete Distributions
(Université de Montréal. Département de sciences économiques., 2001)In this paper, we study several tests for the equality of two unknown distributions. Two are based on empirical distribution functions, three others on nonparametric probability density estimates, and the last ones on differences between sample moments. ... -
Exact Skewness-Kurtosis Tests for Multivariate Normality and Goodness-of-fit in Multivariate Regressions with Application to Asset Pricing Models
(Université de Montréal. Département de sciences économiques., 2003)We study the problem of testing the error distribution in a multivariate linear regression (MLR) model. The tests are functions of appropriately standardized multivariate least squares residuals whose distribution is invariant to the unknown cross-equation ... -
Exact Tests for Contemporaneous Correlation of Disturbances in Seemingly Unrelated Regressions
(Université de Montréal. Département de sciences économiques., 2000)This paper proposes finite-sample procedures for testing the SURE specification in multi-equation regression models, i.e. whether the disturbances in different equations are contemporaneously uncorrelated or not. We apply the technique of Monte Carlo ... -
Finite-Sample Diagnostics for Multivariate Regressions with Applications to Linear Asset Pricing Models
(Université de Montréal. Département de sciences économiques., 2003)In this paper, we propose several finite-sample specification tests for multivariate linear regressions (MLR) with applications to asset pricing models. We focus on departures from the assumption of i.i.d. errors assumption, at univariate and multivariate ... -
Finite-Sample Simulation-Based Inference in VAR Models with Applications to Order Selection and Causality Testing
(Université de Montréal. Département de sciences économiques., 2005)Statistical tests in vector autoregressive (VAR) models are typically based on large-sample approximations, involving the use of asymptotic distributions or bootstrap techniques. After documenting that such methods can be very misleading even with ... -
Identification, Weak Instruments and Statistical Inference in Econometrics
(Université de Montréal. Département de sciences économiques., 2003)We discuss statistical inference problems associated with identification and testability in econometrics, and we emphasize the common nature of the two issues. After reviewing the relevant statistical notions, we consider in turn inference in nonparametric ... -
Monte Carlo Tests with Nuisance Parameters: A General Approach to Finite-Sample Inference and Nonstandard Asymptotics
(Université de Montréal. Département de sciences économiques., 2005)The technique of Monte Carlo (MC) tests [Dwass (1957), Barnard (1963)] provides an attractive method of building exact tests from statistics whose finite sample distribution is intractable but can be simulated (provided it does not involve nuisance ... -
Short run and long run causality in time series: Inference
(Université de Montréal. Département de sciences économiques., 2003)We propose methods for testing hypotheses of non-causality at various horizons, as defined in Dufour and Renault (1998, Econometrica). We study in detail the case of VAR models and we propose linear methods based on running vector autoregressions at ... -
Simulation-Based Finite and Large Sample Tests in Multivariate Regressions
(Université de Montréal. Département de sciences économiques., 2000)In the context of multivariate linear regression (MLR) models, it is well known that commonly employed asymptotic test criteria are seriously biased towards overrejection. In this paper, we propose a general method for constructing exact tests of ... -
Testing Mean-Variance Efficiency in CAPM with Possibly Non-Gaussian Errors : An Exact Simulation-Based Approach
(Université de Montréal. Département de sciences économiques., 2002)In this paper we propose exact likelihood-based mean-variance efficiency tests of the market portfolio in the context of Capital Asset Pricing Model (CAPM), allowing for a wide class of error distributions which include normality as a special case. ...