日期精度：到日 662 篇 · 到月 1533 篇 · 到年 101 篇 · 未提供 3 篇
具有序贯矩限制的面板数据模型的有效估计
This paper considers asymptotically efficient estimation of the panel data models with sequential moment restrictions in an environment with i.i.d. observations. It is shown that the GMM estimator with an increasing set of instruments attains the semiparametric efficiency bound of the model. The estimator considered here allows for the heteroscedasticity of the unknown form.
自回归时间序列面板数据的贝叶斯分析
The authors describe a Bayesian hierarchical model to analyze autoregressive time series panel data. They develop two algorithms using Markov-chain Monte Carlo methods, a restricted algorithm that enforces stationarity or nonstationarity conditions on the series, and an unrestricted algorithm that does not. Two examples show that restricting stationary series to be stationary provides no new information but restricting nonstationary series to be stationary leads to…
多国经验随机 Solow 模型中的增长与收敛
The paper considers international per capita output and its growth using a panel of data for 102 countries between 1960 and 1989. It sets out an explicitly stochastic Solow growth model and shows that this has quite different properties from the standard approach where the output equation is obtained by adding an error term to the linearized solution of a deterministic Solow model. It examines the econometric properties of estimates of beta convergence as traditionally…
通胀率存在单位根吗？序贯突变与面板模型的证据
Using sequential trend break and panel data models, we investigate the unit root hypothesis for the inflation rates of thirteen OECD countries. With individual country tests, we find evidence of stationarity in only four of the thirteen countries. The results are more striking with the panel data model. We can strongly reject the unit root hypothesis both for a panel of all thirteen countries and for a number of smaller panels consisting of as few as three countries. The…
允许数据缺失的多特征随机效应模型
The use of random-effects models for the analysis of longitudinal data with missing responses has been discussed by several authors. This article extends the random-effects model for a single characteristic to the case of multiple characteristics, allowing for arbitrary patterns of observed data. Two different structures for the covariance matrix of measurement error are considered: uncorrelated error between responses and correlation of error terms at the same measurement…
流动性约束与企业投资的面板分析
The issue of financial constraints on company investment is revisited using the U.S. panel data of 561 firms from 1971–1992. A number of economically meaningful factors are discovered to partition firms into relatively homogeneous groups. A mixed fixed-and random-coefficients framework is then used to capture unobserved heterogeneity within groups. The prediction criterion is used to select the final specification and evaluate the importance of financial constraints on…
非线性混合效应模型中时变协变量测量误差的两步处理：IGF-I药代动力学应用
The usual approach to the analysis of population pharmacokinetic studies is to represent the concentration-time data by a nonlinear mixed-effects model. Primary objectives are to characterize the pattern of drug disposition in the population and to identify individual-specific covariates associated with pharmacokinetic behavior. We consider data from a study of insulin-like growth factor I (IGF-I) administered by intravenous infusion to patients with severe head trauma.…
计量经济学、金融及其他领域中的时间序列模型
Statistical Aspects of ARCH and Scholastic Volatility Likelihood-Based Inference for Cointegration of Some Non-Stationary Time Series Forecasting in Macroeconomics Longitudinal Panel Data: An Overview of Current Methodology
重复测量数据的非线性模型
Nonlinear mixed effects models for data in the form of continuous, repeated measurements on each of a number of individuals, also known as hierarchical nonlinear models, are a popular platform for analysis when interest focuses on individual-specific characteristics.This framework first enjoyed widespread attention within the statistical research community in the late 1980s, and the 1990s saw vigorous development of new methodological and computational techniques for these…
This note estimates the long-run demand for skilled and unskilled labor using panel data for Colombian manufacturing plants. Unobserved heterogeneity and measurement error problems that commonly arise in microdata production estimates are examined. Output measurement errors cause OLS estimators to underestimate the output and wage response of employment demand. Time-difference estimators exaggerate the measurement error biases. Instrumental-variable estimates of the output…
企业专利、研发与技术溢出：计数面板模型的证据
The paper analyses the relationship between the main determinants of technological activity and patent applications. To this end, an original panel of 181 international manufacturing firms investigating substantial amounts in R&D during the late 1980s has been constructed. The number of patent applications by firms is explained by current and lagged levels of R&D expenditures and technological spillovers. Technological and geographical opportunities are also taken into…
从专利数量估计创新函数：计数面板数据的 GMM 方法
The purpose of this paper is to estimate the patent equation, an empirical counterpart to the 'knowledge-production function'. Innovation output is measured through the number of European patent applications and the input by research capital, in a panel of French manufacturing firms. Estimating the innovation function raises specific issues related to count data. Using the framework of models with multiplicative errors, we explore and test for various specifications:…
健康与生存不确定性对生命末期消费的影响
This paper analyzes the impact of health and survival uncertainty on the saving and consumption decisions of retirees. A dynamic programming approach is used to model the household's planning problem. The utility parameters are estimated using panel data. The authors find that a fall into poor health raises the marginal utility from consumption. Simulations are used to indicate the effects of falling into poor health and loss of spouse. They reveal a large transfer from the…
不完全市场下农业环境中的动态储蓄决策
A methodology is developed for examining savings behavior in rural areas of developing countries that explicitly incorporates the sequential decision process in agriculture. The approach is used to examine the relative importance of alternative forms of savings in the presence and absence of formal financial intermediaries. The authors' results, based on stage-specific panel data from Pakistan, provide evidence that the presence of financial intermediaries importantly…
家庭行为的跨国微观计量比较
This paper reviews the methodological issues associated with estimating and testing competitive markets with panel data and applies it to international economics. The authors investigate differences in housing consumption and male labor supply across households in Germany and the United States. Observations are treated as equilibrium outcomes, generated by a set of competitive markets which accommodate varying degrees of integration. After controlling for differences in the…
多个数据集共同线性函数关系的估计
This paper studies a functional-type linear measurement-error model, in which k data sets of observations are assumed to have in common a set of linear restrictions on their respective unobservable constant vectors. Each data set consists of replicated measurements of each one of several, generally unequal, constant vectors, with normal error assumed independent for each measurement made. The error covariance matrices are unspecified, and are equal for measurements within a…
农业生产动态与热量摄入—收入关系：来自巴基斯坦的证据
Panel data on farm households from rural Pakistan are used to estimate the calorie response to different components of income in an analysis that takes into account the sequential nature of agricultural production, labor and capital market imperfections, heterogeneity, and productivity effects of calories. The estimates indicate that the income-calorie relationship depends importantly on production stage, the form of income, the liquidity of assets, and the extent to which…
医疗技术的边际成本效果：面板工具变量方法
We use panel instrumental variables techniques to estimate incremental mortality and cost effects of intensive procedures for treating heart attacks among the elderly. We identify incremental effects by comparing trends in procedure use, hospital costs, and mortality between hospitals that adopted intensive technologies to corresponding trends at nonadopting hospitals. We formalize the identification assumptions required for ‘difference-in-differences’ estimation and present…
通过自助法对不平等指标进行统计推断
In this paper we consider the use of bootstrap methods to compute interval estimates and perform hypothesis tests for decomposable measures of economic inequality. Two applications of this approach using the Gini coefficient and Theil's entropy measures of inequality, are provided. Our first application employs pre- and post-tax aggregate state income data, constructed from the Panel Study of Income Dynamics we find that although casual observation of the inequality measures…
二元数据一般随机效应模型的极大似然一致性
We consider a general random effects model for repeated binary measures, assuming a latent linear model with any class of mixing distributions. The latent model is assumed to have the Laird-Ware structure, but the random effects may be from any specified class of multivariate distributions and the error vector may have any specified continuous distribution. Elementwise threshold crossing then gives the observed vector of binary outcomes. Special cases of this model include…
若干指数型面板模型有效半参数估计的一则注记
This paper investigates the semiparametric efficiency of the conditional maximum likelihood estimation in some panel models. The nonparametric component of the model is the unknown distribution of the fixed effect. For the exponential panel model, there exists a complete sufficient statistic for the fixed effect. When the complete sufficient statistic does not depend on the parameter of interest, the conditional maximum likelihood estimator (CMLE) achieves the semiparametric…