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日期精度:到日 8728 篇 · 到月 10911 篇 · 到年 1550 篇 · 未提供 13 篇
Estimation and testing of Euler equation models with time-varying reduced-form coefficients
Estimation and tests for power-transformed and threshold GARCH models
幂变换与门限 GARCH 模型的估计和检验
Consider a class of power transformed and threshold GARCH(p,q) (PTTGRACH(p,q)) model, which is a natural generalization of power-transformed and threshold GARCH(1,1) model in Hwang and Basawa (2004) and includes the standard GARCH model and many other models as special cases. We first establish the asymptotic normality for quasi-maximum likelihood estimators (QMLE) of the parameters under the condition that the error distribution has finite fourth moment. For the case of…
Robust estimation for structural spurious regressions and a Hausman-type cointegration test
A class of stochastic unit-root bilinear processes: Mixing properties and unit-root test
A non-local perspective on the power properties of the CUSUM and CUSUM of squares tests for structural change
从非局部视角分析 CUSUM 及平方 CUSUM 结构变化检验的功效
We consider the power properties of the CUSUM and CUSUM of squares tests in the presence of a one-time change in the parameters of a linear regression model. A result due to Ploberger and Krämer (1990) is that the CUSUM of squares test has only trivial asymptotic local power in this case, while the CUSUM test has non-trivial local asymptotic power unless the change is orthogonal to the mean regressor. The main theme of the paper is that such conclusions obtained from a local…
Generalized empirical likelihood tests in time series models with potential identification failure
Nonlinearity, nonstationarity, and spurious forecasts
非线性、非平稳性与伪预测
Implications of nonlinearity, nonstationarity and misspeci...cation are considered from a forecasting perspective. My model allows for small departures from the martingale di¤erence sequence hypothesis by including a nonlinear component, formulated as a general, integrable transformation of the I(1) predictor. I assume that the true generating mechanism is unknown to the econometrician and he is therefore forced to use some approximating functions. I show that the linear…
Local rank tests in a multivariate nonparametric relationship
Exactly distribution-free inference in instrumental variables regression with possibly weak instruments
Adaptive consistent unit-root tests based on autoregressive threshold model
Testing slope homogeneity in large panels
大规模面板中的斜率同质性检验
This paper proposes a modified version of Swamy’s test of slope homogeneity for panel data models where the cross section dimension (N) could be large relative to the time series dimension (T). We exploit the cross section dispersion of individual slopes weighted by their relative precision. Using Monte Carlo experiments, we show that the test has the correct size and satisfactory power in panels with strictly exogenous regressors for various combinations of N and T. For…
Symmetry-based inference in an instrumental variable setting
Optimal Bandwidth Selection in Heteroskedasticity–Autocorrelation Robust Testing
异方差与自相关稳健检验中的最优带宽选择
In time series regressions with nonparametrically autocorrelated errors, it is now standard empirical practice to use kernel-based robust standard errors that involve some smoothing function over the sample autocorrelations. The underlying smoothing parameter b, which can be defined as the ratio of the bandwidth (or truncation lag) to the sample size, is a tuning parameter that plays a key role in determining the asymptotic properties of the standard errors and associated…
Instrumental Variable Treatment of Nonclassical Measurement Error Models
非经典测量误差模型的工具变量处理
While the literature on nonclassical measurement error traditionally relies on the availability of an auxiliary data set containing correctly measured observations, we establish that the availability of instruments enables the identification of a large class of nonclassical nonlinear errors-in-variables models with continuously distributed variables. Our main identifying assumption is that, conditional on the value of the true regressors, some “measure of location” of the…
Heteroskedasticity-Robust Standard Errors for Fixed Effects Panel Data Regression
固定效应面板回归的异方差稳健标准误
The conventional heteroskedasticity-robust (HR) variance matrix estimator for cross-sectional regression (with or without a degrees-of-freedom adjustment), applied to the fixed-effects estimator for panel data with serially uncorrelated errors, is inconsistent if the number of time periods T is fixed (and greater than 2) as the number of entities n increases. We provide a bias-adjusted HR estimator that is √nT-consistent under any sequences (n T ) in which n and/or T…
Efficient Bayesian Inference for Multiple Change-Point and Mixture Innovation Models
多重变点与混合创新模型的高效贝叶斯推断
Time series subject to parameter shifts of random magnitude and timing are commonly modeled with a change-point approach using Chib's algorithm to draw the break dates. We outline some advantages of an alternative approach in which breaks come through mixture distributions in state innovations, and for which the sampler of Gerlach, Carter, and Kohn allows reliable and efficient inference. We show how the same sampler can be used to model shifts in variance that occur…
Robust Nonnested Testing and the Demand for Money
稳健非嵌套检验与货币需求
Nonnested hypothesis testing procedures recently have been extended to dynamic nonnested models. We propose robust tests that generalize the J test and the F test for nonnested dynamic models with unknown serial correlation and conditional heteroscedasticity in errors and regressors. We investigate the finite-sample properties of our test statistics and propose to use bootstrap methods or the fixed-b asymptotics developed by Kiefer and Vogelsang to improve the asymptotic…
A Simple Test for Nonstationarity in Mixed Panels
混合面板非平稳性的简单检验
This article proposes a simple estimator that is consistent for the fraction of a panel that has an autoregressive unit root. Given such an estimate, , we can test the null hypothesis that θ = θ0 for any value of θ0 ϵ (0, 1]. The test is asymptotically standard normal and is valid whether or not the panel is cross-sectionally correlated. The main insight is that in a panel in which some units are stationary and some have unit roots, the cross-sectional variance of the mixed…
Potential Pitfalls in Determining Multiple Structural Changes With an Application to Purchasing Power Parity
识别多重结构变化的潜在陷阱及其在购买力平价中的应用
We investigate the empirical performance of the Bai and Perron multiple structural change tests and show that the use of their critical values may cause severe size distortions in persistent series. To correct these size distortions while maintaining a good power, we implement the Bai structural change test and extend it in two directions, developing a new procedure to choose the number of breaks and a restricted version that specifically models breaks that imply mean or…
International dynamic risk sharing
国际动态风险分担
Abstract In this paper we examine the implications of international risk sharing among a set of countries in the presence of market frictions which complicate the instantaneous adjustment to the first‐order conditions. We suggest approximating the consumption streams of countries belonging to the risk sharing coalition in terms of a disequilibrium dynamic model embodying forward‐looking adjustment. Econometric methods for estimating and testing the model are discussed.…
Structural breaks and GARCH models of exchange rate volatility
汇率波动率 GARCH 模型中的结构突变
Abstract We investigate the empirical relevance of structural breaks for GARCH models of exchange rate volatility using both in‐sample and out‐of‐sample tests. We find significant evidence of structural breaks in the unconditional variance of seven of eight US dollar exchange rate return series over the 1980–2005 period—implying unstable GARCH processes for these exchange rates—and GARCH(1,1) parameter estimates often vary substantially across the subsamples defined by the…
A unified approach to standardized‐residuals‐based correlation tests for GARCH‐type models
GARCH 类模型标准化残差相关检验的统一方法
Abstract In this paper, we propose a unified approach to generating standardized‐residuals‐based correlation tests for checking GARCH‐type models. This approach is valid in the presence of estimation uncertainty, is robust to various standardized error distributions, and is applicable to testing various types of misspecifications. By using this approach, we also propose a class of power‐transformed‐series (PTS) correlation tests that provides certain robustifications and…
The performance of heteroskedasticity and autocorrelation robust tests: a Monte Carlo study with an application to the three‐factor Fama–French asset‐pricing model
异方差与自相关稳健检验的表现:蒙特卡洛研究及 Fama–French 三因子模型应用
Abstract This paper illustrates the pitfalls of the conventional heteroskedasticity and autocorrelation robust (HAR) Wald test and the advantages of new HAR tests developed by Kiefer and Vogelsang in 2005 and by Phillips, Sun and Jin in 2003 and 2006. The illustrations use the 1993 Fama–French three‐factor model. The null that the intercepts are zero is tested for 5‐year, 10‐year and longer sub‐periods. The conventional HAR test with asymptotic P ‐values rejects the null for…