In panel stochastic frontier models, the Fixed Effects (FE) approach produces biased technical efficiency scores when time-invariant variables are important in the production process, and the Random Effects (RE) approach imposes distributional assumptions about the inefficiency. Moreover, technical efficiency scores obtained from these models are biased when the sample contains a large number o...

This paper investigates the determinants of Spanish vertical intra-industry trade with a large sample of countries. We empirically test the comparative advantage explanation. To this aim, we build physical, human and technological capital stocks. On average, that is using OLS techniques, differences in endowments are a limitation for vertical intra-industry trade. Using quantile regressions tec...

This paper considers the estimation of average autoregressive roots-near-unity in panels where the time-series have heterogenous local-to-unity parameters. The pooled estimator is shown to have a potentially severe bias and a robust median based procedure is proposed instead. This median estimator has a small asymptotic bias that can be eliminated almost completely by a bias correction procedur...

In this paper a new method to estimate the equivalence scale elasticity using individual panel data on income satisfaction will be developed. In contrast to other subjective approaches, the present one benefits from the fact that no direct cardinal individual welfare function has to be specified. In addition, panel data enables different scale use by the respondents to be controlled. The approa...

This paper investigates the relationship between electricity demand and temperature in the European Union. We address this issue by means of a panel threshold regression model on 15 European countries over the last two decades. Our results confirm the non linearity of the link between electricity consumption and temperature found in more limited geographical areas in previous studies. By distin...

This paper uses control variables to identify and estimate models with nonseparable, multidimensional disturbances. Triangular simultaneous equations models are considered, with instruments and disturbances independent and reduced form that is strictly monotonic in a scalar disturbance. Here it is shown that the conditional cumulative distribution function of the endogenous variable given the i...

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...

Model uncertainty hampers consensus on the key determinants of economic growth. Some recent cross-country cross-sectional analyses have employed Bayesian Model Averaging to tackle the issue of model uncertainty. This paper extends that approach to panel data models with countryspecific fixed effects in order to simultaneously address model uncertainty and endogeneity issues. The empirical findi...

With the change in donors’ priorities since the end of the Cold War in the late 1980s, there has been a decline in annual aid inflows to Pacific island countries (PICs), which have been among the world’s top recipients of aid per capita in the past. Along with fall in aid inflows, growing annual domestic budgetary deficits in recent years have forced some PICs to finance them through borrowing....

Adopting a time series convergence definition and panel unit root testing procedures, we fail to reject the null hypothesis of no convergence in GDP per capita across former West German states. This result stands in contrast to the findings of previous studies for West German regions using cross-section regression techniques and is contrary to the time series findings for the United States. Fro...