Dickens (2022) studies the role of trade on long-run inter-ethnic linguistic differences. He establishes that neighboring ethnolinguistic groups have smaller (lexicostatistical) linguistic distances when there is a larger agricultural productivity variation between them. Specifically, he...

In this paperwork we analyze certain aspects of the origin of professional disease in Colombia and we highlight some important challenges and dilemmas of social system that Colombian workers recently stand up to. We base our research upon a database of 185 workers that claim professional origin...

Simultaneous research efforts made in 1962 by Gary Becker and Vernon Smith proved that neither rationality nor complete information are necessary market conditions to reach a competitive equilibrium. Although behavioral extensions to this framework have shown significant progress towards a...

Dickens (2022) studies the role of trade on long-run inter-ethnic linguistic differences. He establishes that neighboring ethnolinguistic groups have smaller (lexicostatistical) linguistic distances when there is a larger agricultural productivity variation between them. Specifically, he...

Gonzalez and Özak (2023) provide a direct and successful replication of Dickens (2022). Using a reconstructed version of the main independent variables from the same original sources, in addition to an updated version of the source data, the replicators confirm the main finding of the original...

En este documento se revisa teóricamente la distribución de probabilidad de Poisson como función que asigna a cada suceso definido, sobre una variable aleatoria discreta, la probabilidad de ocurrencia en un intervalo de tiempo o región del espacio disjunto. Adicionalmente se revisa la...

Partial least squares regression (PLS) is a linear regression technique developed to relate many regressors to one or several response variables. Robust methods are introduced to reduce or remove the effect of outlying data points. In this paper we show that if the sample covariance matrix is...

In this paper we present a new kernel, the Railway Kernel, that works properly for general (nonlinear) classification problems, with the interesting property that acts locally as a linear kernel. In this way, we avoid potential problems due to the use of a general purpose kernel, like the RBF...