This paper presents a comparison of power of panel tests of cointegration and show how the choice of most powerful test depends on the values of the sample statistics. Country-by-country and panel stationarity and cointegration tests are performed using a panel of 20 OECD countries observed over the period 1971-2004. Residual-based tests and a cointegration rank test in the system of health car...

We propose a nonlinear heterogeneous panel unit root test for testing the null hypothesis of unit-root processes against the alternative that allows a proportion of units to be generated by globally stationary ESTAR processes and a remaining non-zero proportion to be generated by unit root processes. The proposed test is simple to apply and accommodates cross section dependence. Monte Carlo sim...

Nonlinearities in the drift and diffusion coefficients influence temporal dependence in scalar diffusion models. We study this link using two notions of temporal dependence: β − mixing and ρ − mixing. We show that β − mixing and ρ − mixing with exponential decay are essentially equivalent concepts for scalar diffusions. For stationary diffusions that fail to be ρ−mixing, we show that they are s...

We develop a sampling theory for games with a large number of players that are exchangeable from the econometrician’s perspective. We show that in the limit, heterogeneity can be separated into an individual and an aggregate component, and establish conditional laws of large numbers and central limit theorems given the aggregate state of the game. We then develop estimation procedures that elim...

We investigate the performance of some homogenous first and second generation panel unit root tests under alternative forms of cross sectional dependence. We formalize contemporaneous correlation through factor models, spatial autoregressive error models and combinations thereof. Our findings confirm that while the first generation test of Levin, Lin, and Chu (2002) suffers from substantial siz...

I consider the asymptotic properties of a commonly advocated covariance matrix estimator for panel data. Under asymptotics where the cross-section dimension, n, grows large with the time dimension, T, fixed, the estimator is consistent while allowing essentially arbitrary correlation within each individual. However, many panel data sets have a non-negligible time dimension. I extend the usual a...

There is a growing literature on unit root testing in threshold autoregressive models. This paper makes two contributions to the literature. First, an asymptotic theory is developed for unit root testing in a threshold autoregression, in which the errors are allowed to be dependent and heterogeneous, and the lagged level of the dependent variable is employed as the threshold variable. The asymp...

A stochastic frontier production function is defined for panel data on firms, in which the non-negative technical inetGciency effects are assumed to be a function of firm-specific variables and time. The inefficiency effects are assumed to be independently distributed as truncations of normal distributions with constant variance, but with means which are a linear function of observable variable...

In this paper, a synthesis of the recently advanced Lagrange multiplier (LM)-based tests for the null of no cointegration which account for different patterns of breaks in the cointegrating relationship is provided. The limiting distributions of the test statistics are not only invariant to an intercept break and a break in the cointegrating vector, but are also invariant to a trend break in a ...

This paper proposes a new stationarity test based on the KPSS test with less size distortion. We extend the boundary rule proposed by Sul, Phillips and Choi (2005) to the autoregressive spectral density estimator and parametrically estimate the long-run variance. We also derive the finite sample bias of the numerator of the test statistic up to the 1/T order and propose a correction to the bias...