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...

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...

This paper proposes a new unit root test in the context of a random autoregressive coefficient panel data model, in which the null of a unit root corresponds to the joint restriction that the autoregressive coefficient has unit mean and zero variance. The asymptotic distribution of the test statistic is derived and simulation results are provided to suggest that it performs very well in small s...

In this paper we investigate the long run relationship between financial depth and economic growth, trying to utilize the data in the most efficient manner via panel unit root tests and panel cointegration analysis. In addition, we use threshold cointegration tests, and dynamic panel data estimation for a panel-based vector error correction model. The long run relationship is estimated using fu...

This paper proposes a new panel model of cross-sectional dependence. The model has a number of potential structural interpretations that relate to economic phenomena such as herding in financial markets. On an econometric level, it provides a flexible approach of modelling interactions across panel units and can generate endogenous cross-sectional dependence that can resemble the dependence tha...

By disaggregating price indices, it becomes apparent that the real exchange rate consists of the real exchange rate for a single good and a weighted sum of relative prices between goods. When applying a battery of panel unit root tests to this sum and its components, it is found that both the sum and the relative prices are non-stationary. This implies that PPP is invalid even if the LOP holds ...

We develop a two-country, dynamic general equilibrium model that links cross-country differences in net foreign asset and consumption dynamics to differences in discount factors and steady-state levels of productivity. We compare the results of the model to those of VARs for the G3 economies. We identify country-specific productivity shocks by assuming that productivity does not respond contemp...

Price dynamics in Indian cities were examined using cointegration analysis. We identified and calculated a common trend for prices in 25 major cities in India. Impulse response functions were obtained to calculate the rates of convergence to the prices and we found that the half-life of any shock is very small for Indian cities. Although a close to three-month half-life seems too fast, there is...

The paper investigates the role of real exchange rate misalignment on long-run growth for a set of ninety countries using time series data from 1980 to 2004. We first estimate a panel data model (using fixed and random effects) for the real exchange rate, with different model specification, in order to produce estimates of the equilibrium real exchange rate and this is then used to construct ou...

Available online 30 April 2015 This paper investigates cointegration relationships and Granger causality nexus in a trivariate framework among economic growth, inflation, and stock market development. Utilizing three measures of stock market development and employing a panel vector autoregressive model, we study 34 OECD countries over the time period of 1960–2012. Our novel panel-data estimatio...