Random Coefficient Models for Time-Series—Cross-Section Data: Monte Carlo Experiments
نویسندگان
چکیده
منابع مشابه
Random Coefficient Models for Time-Series–Cross-Section Data: Monte Carlo Experiments of Finite Sample Properties∗
This article considers random coefficient models (RCMs) for time-series–crosssection data. These models allow for unit to unit variation in the model parameters. The heart of the paper compares the finite sample properties of the fully pooled estimator, the unit by unit (unpooled) estimator and the (maximum likelihood) RCM estimator. The maximum likelihood estimator RCM performs well, even wher...
متن کاملRandom Coefficient Models for Time-Series–Cross-Section Data: Monte Carlo Experiments
This article considers random coefficient models (RCMs) for time-series–cross-section data. These models allow for unit to unit variation in the model parameters. The heart of the article compares the finite sample properties of the fully pooled estimator, the unit by unit (unpooled) estimator, and the (maximum likelihood) RCM estimator. The maximum likelihood estimator RCM performs well, even ...
متن کاملRandom Coefficient Models for Time-Series–Cross-Section Data: The 2001 Version
This paper considers random coefficient models (RCMs) for time-series–cross-section data. These models allow for unit to unit variation in the model parameters. After laying out the various models, we assess several issues in specifying RCMs. We then consider the finite sample properties of some standard RCM estimators, and show that the most common one, associated with Hsaio, has very poor pro...
متن کاملMonte Carlo null models for genomic data
As increasingly complex hypothesis-testing scenarios are considered in many scientific fields, analytic derivation of null distributions is often out of reach. To the rescue comes Monte Carlo testing, which may appear deceptively simple: as long as you can sample test statistics under the null hypothesis, the p-value is just the proportion of sampled test statistics that exceed the observed tes...
متن کاملRandom Coefficient Panel Data Models
Random Coefficient Panel Data Models This paper provides a review of linear panel data models with slope heterogeneity, introduces various types of random coefficients models and suggest a common framework for dealing with them. It considers the fundamental issues of statistical inference of a random coefficients formulation using both the sampling and Bayesian approaches. The paper also provid...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Political Analysis
سال: 2007
ISSN: 1047-1987,1476-4989
DOI: 10.1093/pan/mpl001