We examine the price dynamics in Indian cities using cointegration analysis. We identify and then calculate a common trend for prices in these 25 cities. We obtain the impulse response functions to calculate the rates of convergence to the prices, and find 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 are some in...

Prediction markets serve as popular devices to aggregate beliefs and to assess market estimated probabilities. By looking at the interaction between realand play-money prediction markets, this paper shows that traded volume has a significant positive effect on the probability of realand play-money market cointegration. This indicates that the information aggregation process, eliminating individ...

The paper examines the time-series evidence relating to participation rates in further education in England and Wales, and uses cointegration analysis to identify a long-run statistical relationship in the data consistent with an augmented human-capital model. The recent rapid growth of participation is attributable largely to the improvements in GCSE attainment of the last decade, coupled with...

The real exchange rate real interest rate (RERI) relationship is central to most open economy macroeconomic models. However, empirical support for the relationship, especially when cointegrationbased methods are used, is rather weak. In this paper we reinvestigate the RERI relationship using bilateral real exchange rate data spanning the period 1978 to 1997. We first clarify the logic of applyi...

We show how temporal aggregation affects the size and power of the DOLS residualbased KPSS test of the null of cointegration. Size is effectively controlled by setting the minimum number of leads equal to one – as opposed to zero – when selecting the lag/lead order of the DOLS regression, but at a cost to power in finite samples. If highfrequency data for one or more series are available, we sh...

Cointegration analysis has led to equilibrium-correction econometric systems being ubiquitous. But in a non-stationary world subject to structural breaks, where model and mechanism differ, equilibrium-correction models are a risky device from which to forecast. Equilibrium shifts entail systematic forecast failure, as forecasts will tend to move in the opposite direction to data. We explain the...

In this paper I estimate empirical growth models simultaneously considering endogenous regressors and model uncertainty. In order to apply Bayesian methods such as Bayesian Model Averaging (BMA) to dynamic panel data models with predetermined or endogenous variables and fixed effects, I propose a likelihood function for such models. The resulting maximum likelihood estimator can be interpreted ...

The asymptotic distribution of all unit root test statistics depend on the deterministic specification of the fitted test regression, which need not be equal to the true one. In time series, this implies that different deterministic specifications have their own critical values, whereas in panels, it implies that different specifications have their own mean and variance correction factors. This...

Estimating and Testing a Quantile Regression Model with Interactive Effects This paper proposes a quantile regression estimator for a panel data model with interactive effects potentially correlated with the independent variables. We provide conditions under which the slope parameter estimator is asymptotically Gaussian. Monte Carlo studies are carried out to investigate the finite sample perfo...

Technical Change and Total Factor Productivity Growth: The Case of Chinese Provinces In the literature technical change is mostly assumed to be exogenous and specified as a function of time. However, some exogenous external factors other than time can also affect technical change. In this paper we model technical change via time trend (purely external non-economic) as well as other exogenous (e...