Dialects, Cultural Identity, and Economic Exchange

We investigate whether time-persistent cultural borders impede economic exchange across regions of the same country. To measure cultural differences we evaluate, for the first time in economics, linguistic micro-data about phonological and grammatical features of German dialects. These data are taken from a unique linguistic survey conducted between 1879 and 1888 in 45,000 schools. Matching this information to 439 current German regions, we construct a dialect similarity matrix. Using a gravity analysis, we show that current cross-regional migration is positively affected by historical dialect similarity. This suggests that cultural identities formed in the past still influence economic exchange today.dialects, language, culture, internal migration, gravity, Germany

Experimental Analysis of Neighborhood Effects on Youth

neighborhood, real experiment, multiple testing

A Framework for Bioacoustic Vocalization Analysis Using Hidden Markov Models

Using Hidden Markov Models (HMMs) as a recognition framework for automatic classification of animal vocalizations has a number of benefits, including the ability to handle duration variability through nonlinear time alignment, the ability to incorporate complex language or recognition constraints, and easy extendibility to continuous recognition and detection domains. In this work, we apply HMMs to several different species and bioacoustic tasks using generalized spectral features that can be easily adjusted across species and HMM network topologies suited to each task. This experimental work includes a simple call type classification task using one HMM per vocalization for repertoire analysis of Asian elephants, a language-constrained song recognition task using syllable models as base units for ortolan bunting vocalizations, and a stress stimulus differentiation task in poultry vocalizations using a non-sequential model via a one-state HMM with Gaussian mixtures. Results show strong performance across all tasks and illustrate the flexibility of the HMM framework for a variety of species, vocalization types, and analysis tasks