Joint Decisions on Household Membership and Human Capital Accumulation of Youths The role of expected earnings and local markets This paper analyses the effects of expected earnings and local markets conditions on the behaviour of young adults with high school diplomas. Decisions to either remain in the parental home or form a new household are modelled jointly with those of either gaining work...

Abstract In this paper we provide an overview of the patterns of intergenerational proximity and coresidence of adult children and their mothers in the U.S., using data from the National Survey of Families and Households (NSFH) and the U.S. Census. We highlight the importance of three specification and sample choices in the analysis. First, most previous studies consider coresidence to be the l...

This paper analyses the effects of expected earnings and local markets conditions on the behaviour of young adults with high school diplomas. Decisions to either remain in the parental home or form a new household are modelled jointly with those of either gaining work experience or investing in a university education. A multinomial probit model estimates the probabilities of the different pairs...

We present a new prior and corresponding algorithm for Bayesian analysis of the multinomial probit model. Our new approach places a prior directly on the identi"ed parameter space. The key is the speci"cation of a prior on the covariance matrix so that the (1,1) element if "xed at 1 and it is possible to draw from the posterior using standard distributions. Analytical results are derived which ...

Logit kernel is a discrete choice model that has both probit-like disturbances as well as an additive i.i.d. extreme value (or Gumbel) disturbance à la multinomial logit. The result is an intuitive, practical, and powerful model that combines the flexibility of probit with the tractability of logit. For this reason, logit kernel has been deemed the “model of the future” and is becoming extremel...

We study the problem of identifying bat species from echolocation calls in order to build automated bioacoustic monitoring algorithms. We employ the Dynamic Time Warping algorithm which has been successfully applied for bird flight calls identification and show that classification performance is superior to hand crafted call shape parameters used in previous research. This highlights that gener...

This paper ooers a model of three-party elections which allows voters to combine retrospective economic evaluations with considerations of the positions of the parties in the issue-space as well as the issue-preferences of the voters. We describe a model of British elections which allows voters to consider simultaneously all three parties, rather than limiting voters to choices among pairs of p...

Here we focus on discrimination problems where the number of predictors substantially exceeds the sample size and we propose a Bayesian variable selection approach to multinomial probit models. Our method makes use of mixture priors and Markov chain Monte Carlo techniques to select sets of variables that differ among the classes. We apply our methodology to a problem in functional genomics usin...