A key difficulty in drawing inference of school effect from student test score gains is the fact that test scores are noisy measurements of students’ academic achievements. In this paper we examine competing inferential methods of dynamic panel data models using noisy data. In particular, we consider a score-level model where the score of the current period depends on the score of the previous ...

Forecasting with Spatial Panel Data This paper compares various forecasts using panel data with spatial error correlation. The true data generating process is assumed to be a simple error component regression model with spatial remainder disturbances of the autoregressive or moving average type. The best linear unbiased predictor is compared with other forecasts ignoring spatial correlation, or...

Panel data in many econometric applications exhibit a nested (hierarchical) structure. For example, data on "rms may be grouped by industry, or data on air pollution may be grouped by observation station within a city, city within a country, and by country. In these cases, one can control for unobserved group and sub-group e!ects using a nested-error component model. A double-nested unbalanced ...

The American Heart Association's Committee on Grading Lesions of the Council on Arteriosclerosis has devised a method of grading the severity of atherosclerosis in human coronary arteries and aortas. The method uses two series of color photographs of arteries arranged in increasing severity of atherosclerosis. The Committee tested the method for inter-observer reproducibility by exhibiting the ...

Properties of GMM estimators for panel data, which have become very popular in the empirical economic growth literature, are not well known when the number of individuals is small. This paper analyses through Monte Carlo simulations the properties of various GMM and other estimators when the number of individuals is the one typically available in country growth studies. It is found that, provid...

This paper develops a method for testing for the presence of a single structural break in dynamic panel data models with a multi-factor error structure. The test statistic is developed by combining a modified version of the GMM approach of Robertson and Sarafidis (2015) with the testing procedure of De Wachter and Tzavalis (2012). We focus on the case where N is large and T fixed. The asymptoti...

Regression and linear programming provide the basis for popular techniques for estimating technical efficiency. Regression-based approaches are typically parametric and can be both deterministic or stochastic where the later allows for measurement error. In contrast, linear programming models are nonparametric and allow multiple inputs and outputs. The purported disadvantage of the regression-b...

Based on panel data from 1995-1997, the research focuses on the impact of ownership structure on the performance of Russian non-financial privatized companies that constitute the group of blue chips of the country’s stock market. Several performance indicators are used: Tobin’s Q, labour productivity and profitability. In particular, the paper analyzes the relationship between company performan...