Therefore, the deceleration of development is not predicted to be limited by endogenous costs throughout ontogeny.
We hypothesized that higher rates of development, and particularly compensation for contradictory cues, would incur greater endogenous costs.
Detecting endogenous costs empirically is very difficult, since they could manifest in different body functions, through adaptive tradeoffs or physiological outcomes.
However, few studies have explicitly addressed other, endogenous costs [e.g. 15], [24], particularly such that lead to increased mortality [25], [26].
Patterns of mortality suggested that endogenous costs may depend on instantaneous rates of development, and revealed asymmetrical costs of compensatory development between false positive and false negative early information.
Specifically, as reliable information regarding the required developmental rate of a trait is perceived later in that trait's ontogeny, complete compensation demands increasing endogenous costs, to the point that they may exceed the ecological costs of phenotype-environment mismatch that compensation is aimed at minimizing.
We present an power systems optimisation model for national-scale power supply capacity expansion considering endogenous technology cost reduction (ESO-XEL).
This framework can be used in reverse in order to calculate an endogenous marginal cost of production of energy carriers given an exogenous carrier demand.
The method requires the use of instrumental variables, that is, variables that are highly correlated with the endogenous variable (costs), but not with unobserved determinants of the main outcome variable of interest (time to readmission conditional on not dying, time to death).
The objective of this study was threefold: (i) to construct a (endogenous) relation between cost development and cumulative production (ii) to implement technological learning based on both engineering study insights and an experience curve approach, and (iii) to investigate the impact of different technological learning assumptions on the market diffusion patterns of different biofuels.
