This paper develops a new methodology that makes use of the factor structure of large dimensional panels to understand the nature of non-stationarity in the data. We refer to it as PANIC - a 'Panel Analysis of Non-stationarity in Idiosyncratic and Common components'. PANIC consists of univariate...

This paper analyzes data from 107 countries, spanning 1971-2009, and grouped into three income-based panels to determine the direction and sign of panel long-run causality between transport energy consumption per capita and real GDP per capita. The methods employed address heterogeneity and (at...

Fractional dependent variables and models with state dependence arise in many economic applications. However, estimating models with fractional dependent variables is complicated by the presence of two corner solution outcomes. When coupled with a dynamic panel data setting, estimating...

The extant literature using household scanner data to estimate consumer choice models has identified two key sources of bias in estimated mean responses to marketing variables. Omitted heterogeneity may bias mean responses towards zero. At the same time, omitted time-varying characteristics of...

We investigate the evolution of health over the life-cycle. We allow for two sources of persistence: unobserved heterogeneity and state dependence. Estimation indicates that there is a large degree of heterogeneity. For half the population, there are modest degrees of state dependence. For the...

This article uses the recent developments in the econometrics of non-stationary dynamic panels to reassess the relationship between external and internal performance measures of the firm. The test of Im, Pesaran and Shin (2003) and the test of Pedroni (2004) were applied on a sample of 420 U.S....

We examine the (potentially nonlinear) relationship between inequality and growth using a method which does not require an a priori assumption on the underlying functional form. This approach reveals a plateau completely missed by commonly used (nonlinear) parametric approaches - the economy...

This paper adds to the literature on the income-health gradient by exploring the association of short- and long-term income with a wide set of self-reported health measures and objective nurse-administered and blood-based biomarkers as well as employing estimation techniques that allow for...

This paper investigates the impact of oil price variations on sectoral inflation for a sample of 10 top oil importing and exporting countries. Specifically, we analyze the effects of oil prices on the consumer price index using monthly data spanning the July 2009 to February 2021 period. Two...

We explore the pros and cons of two counterfactual analysis methodologies – the panel data approach (PDA) and the synthetic control method (SCM) through a discussion of the differences in their underlying assumptions and a series of simulations