We measure firm-level productivity changes in the Indian electricity sector during a period that witnessed several pro-market regulatory changes. Using information collected from multiple sources we construct a unique panel of generating firms and transmission and distribution utilities spanning...

We demonstrate that the estimation of meta-frontier parameters by minimizing the sum of the absolute values or squares of the distances between the meta-frontier and the individual group frontiers, which is an established practice in the literature, is equivalent to maximizing a constrained...

The objective of this study was to shed new light on the non-linear effects of inflation and the inflation thresholds for long-term growth in Africa. Using a dynamic panel threshold model, the study covered a large panel-data set of 41 African countries for the period 1960-2015. The sample was...

The Bhaduri-Marglin model is a post-Kaleckian model that allows for studying the impact of functional income distribution on the growth in demand. Over recent years, a number of empirical studies based on this model have aimed at determining whether a redistribution towards profits harms or...

Despite the abundance of different econometric techniques introduced in the empirical literature on convergence, it is usually assumed that shocks are uncorrelated across countries. This is surely unlikely for most of the datasets considered and we investigate a possibility so far ignored,...

A model for binary panel data is introduced which allows for state dependence and unobserved heterogeneity beyond the effect of strictly exogenous covariates. The model is of quadratic exponential type and its structure closely resembles that of the dynamic logit model. An economic...

Computational aspects concerning a model for clustered binary panel data are analysed. The model is based on the representation of the behavior of a subject (individual panel member) in a given cluster by means of a latent process that is decomposed into a cluster-specific component, which...

We study the impact of individual and temporal aggregation in linear static and dynamic models for panel data in terms of model specification and efficiency of the estimated parameters. Model wise we find that i) individual aggregation does not affect the model structure but temporal aggregation...

By integrating Battese and Coelli’s (1995) model and the spatial autoregressive model (SAR), a spatial autoregressive stochastic frontier model for panel data is developed. The main feature of this frontier model is a spatial lag term of explained variables and the joint structure of a...