论文检索
收录说明
- 收录范围
- 保留计量方法研究、相关统计基础，以及实质涉及计量方法的应用、教程、比较和综述。书评、刊务及明确无关内容不公开；身份或相关性证据不足的记录保留待核，补充可靠材料后可重新判断。
- 当前期刊来源见下方官网链接及期刊目录。综合经济学与金融期刊逐篇筛查计量方向，证据不足时暂不公开。正刊、在线优先论文和已核实接收稿合并展示；按标题、可靠摘要、目录及身份匹配的出版社 JEL 分类核验相关性；计量类 JEL 与摘要相互印证，无 JEL 不直接排除。历史回补以可取得的注册题录和目录为准，不等于覆盖全部纸本。
- 期刊官网
- Econometrica ↗QE ↗JoE ↗ET ↗JAE ↗JBES ↗ReStud ↗JPE ↗REStat ↗EctJ ↗JF ↗JFE ↗JASA ↗JRSS B ↗Annals of Statistics ↗Biometrika ↗
- 日期与排序
- 默认按最近发表排序：正刊使用刊期，待刊使用上线日期；缺少上线日期时，排序参考登记或首次收录时间，并在卡片注明。更多筛选可选择出版状态和日期口径；卷期依据出版社元数据，不因待刊时间较长而推定已编入正刊。仅有月份或年份时，日期区间相交也会纳入。
- 分类与引用
- 领域和方法依据题名、摘要初步分类，可人工修正；分类不代表论文质量。引用数采用 OpenAlex 单条关联记录，不合计版本。
- 更新与 AI 解读
- 正常题录、可靠摘要与引用同步继续；日、周、月简报按核实的发表与修订日期汇总，历史补录保留在文献库。AI 解读依据可靠摘要或已核实原文片段，已有解读保留供阅读参考；缺少可靠材料的条目保持待解读，浏览页面不会触发生成。
日期精度：到日 0 篇 · 到月 5007 篇 · 到年 2 篇
Distribution-free estimation of the random coefficient dummy endogenous variable model
The asymptotic distribution of nonparametric estimates of the Lyapunov exponent for stochastic time series
随机时间序列李雅普诺夫指数非参数估计的渐近分布
This paper derives the asymptotic distribution of a smoothing-based estimator of the Lyapunov exponent for a stochastic time series under two general scenarios. In the first case, we are able to establish root-T consistency and asymptotic normality, while in the second case, which is more relevant for chaotic processes, we are only able to establish asymptotic normality at a slower rate of convergence. We provide consistent confidence intervals for both cases. We apply our…
Ordering univariate distributions by entropy and variance
Block recursion and structural vector autoregressions
Testing parameter constancy in linear models against stochastic stationary parameters
Semiparametric estimation of a censored regression model with an unknown transformation of the dependent variable
Tests of cointegrating rank with a trend-break
Two-step estimation of panel data models with censored endogenous variables and selection bias
含删失内生变量与选择偏差的面板模型两步估计
This paper presents some two-step estimators for a wide range of parametric panel data models with censored endogenous variables and sample selection bias. Our approach is to derive estimates of the unobserved heterogeneity responsible for the endogeneity/selection bias to include as additional explanatory variables in the primary equation. These are obtained through a decomposition of the reduced form residuals. The panel nature of the data allows adjustment, and testing,…
Trend stationarity in the I(2) cointegration model
Bootstrap confidence bands for shrinkage estimators
The second moment and the autocovariance function of the squared errors of the GARCH model
A semiparametric two-step estimator in a multivariate long memory model
Distribution-free estimation of some nonlinear panel data models
Spurious regression and residual-based tests for cointegration in panel data
面板数据中的伪回归与残差型协整检验
In the first half of the paper I study spurious regressions in panel data. Asymptotic properties of the least-squares dummy variable (LSDV) estimator and other conventional statistics are examined. The asymptotics of LSDV estimator are different from those of the spurious regression in the pure time-series. This has an important consequence for residual-based cointegration tests in panel data, because the null distribution of residual-based cointegration tests depends on the…
The Sato–Vartia index and the monotonicity axiom
Monte Carlo inference in econometric models with symmetric stable disturbances
Missing observations in ARIMA models: Skipping approach versus additive outlier approach
Bayes factors and nonlinearity: Evidence from economic time series
Conduct parameters and the measurement of market power
Forecasting turning points in countries’ output growth rates: A response to Milton Friedman
Likelihood analysis of seasonal cointegration
季节性协整的似然分析
The error correction model for seasonal cointegration is analyzed. Conditions are found under which the process is integrated of order 1 and cointegrated at seasonal frequency, and a representation theorem is given. The likelihood function is analyzed and the numerical calculation of the maximum likelihood estimators is discussed. The asymptotic distribution of the likelihood ratio test for cointegrating rank is given. It is shown that the estimated cointegrating vectors are…
Discrete and continuous time cointegration
Sources of nonmonotonic power when testing for a shift in mean of a dynamic time series
动态时间序列均值突变检验中非单调功效的来源
Sources of nonmonotonic power are uncovered for a wide variety of tests for a shift in the mean of a dynamic time series. Two main sources of nonmonotonic power are found. The first source is the behavior of the estimate of error variance under the alternative hypothesis of a shift in mean. In particular if the error variance is estimated under the null hypothesis, nonmonotonic power can result. The second source is the presence of a lagged dependent variable in the…