A household panel data set is used to investigate the effects of economic growth on firewood collection in Nepal …) sources of growth matter: increased livestock was associated with increased collections, and falling household size, increased …

. Rather than being a key condition for subsequent growth, gains in market efficiency and growth might have occurred … simultaneously. We discuss the implications of these findings for a number of explanations for long-run growth and the Industrial …

The paper is concerned with the empirical modelling of domestic demand for energy in the United Kingdom at the level of …-stage budgeting model of the household's demand for energy conditional on its ownership of durables. Preferences at both stages of the … data has not been fully exploited in the analysis of energy demand to date. Unrestricted reduced-form estimates are …

This paper examines future energy and emissions scenarios in China generated by the Integrated Assessment Model WITCH …

Crowding-out during the British Industrial Revolution has long been one of the leading explanations for slow growth …, and that the magnitude of the effect is important enough to explain at least partly why British growth during the period …

growth stocks, and the failure of the capital asset pricing model to explain these expected returns. To model the difference … between value and growth stocks, we introduce a cross-section of long-lived firms distinguished by the timing of their cash …, but that shocks to the time-varying price of risk are not. As long-horizon equity, growth stocks co-vary more with this …

been conducive to economic growth and job creation. Our empirical analysis links the stage of the transition towards an … entrepreneurial economy to the growth rates of European countries over a recent period. We find that those countries that have … introduced a greater element of entrepreneurship have been rewarded with additional growth. …

-differenced GMM in our estimation of an empirical growth model. …-country growth regressions. When the time series are persistent, the first-differenced GMM estimator can be poorly behaved, since …