Showing 1 - 10 of 182,132
Persistent link: https://www.econbiz.de/10012263693
This paper develops a novel approach studying the distribution of the regional population density across space. We work in a Bayesian parametric framework. Exploiting the Gamma distribution, we are able to introduce heterogeneity across space without incurring any a priori definition of...
Persistent link: https://www.econbiz.de/10013114541
In a model on population and endogenous technological change, Kremer combines a short-run Malthusian scenario where income determines the population that can be sustained, with the Boserupian insight that greater population spurs technological change and can therefore lift a country out of its...
Persistent link: https://www.econbiz.de/10011449334
This paper examines whether population shrinkage leads to changes in the urban hierarchy in terms of relative sizes of cities and their functions onomic geography. We work backwards in a racetrack economy with eight cities in a long-run equilibrium. Initial distribution of population is chosen...
Persistent link: https://www.econbiz.de/10011516437
In a model on population and endogenous technological change, Kremer combines a short-run Malthusian scenario where income determines the population that can be sustained, with the Boserupian insight that greater population spurs technological change and can therefore lift a country out of its...
Persistent link: https://www.econbiz.de/10002527968
In a model on population and endogenous technological change, Kremer combines a short-run Malthusian scenario where income determines the population that can be sustained, with the Boserupian insight that greater population spurs technological change and can therefore lift a country out of its...
Persistent link: https://www.econbiz.de/10013319221
In this article we consider the efficient estimation of the tail distribution of the maximum of correlated normal random variables. We show that the currently recommended Monte Carlo estimator has difficulties in quantifying its precision, because its sample variance estimator is an inefficient...
Persistent link: https://www.econbiz.de/10011431354
We present several fast algorithms for computing the distribution of a sum of spatially dependent, discrete random variables to aggregate catastrophe risk. The algorithms are based on direct and hierarchical copula trees. Computing speed comes from the fact that loss aggregation at branching...
Persistent link: https://www.econbiz.de/10012019121
Persistent link: https://www.econbiz.de/10010442408
to as PD-LGD correlation (here PD refers to probability of default, which is often used synonymously with default rate …). There is a large literature on modelling stochastic LGD and PD-LGD correlation, but there is a dearth of literature on using … deviation probabilities across a wide variety of PD-LGD correlation models that have been proposed in the literature. …
Persistent link: https://www.econbiz.de/10012203783