data. We use machine learning to identify five types of algorithmic imprints that hinder the processing of auction …

This paper examines whether the successful bid rate of the OnBid public auction, published by Korea Asset Management … predicting three-month-ahead regime. We find that the OnBid auction rate conveys important information for detecting the … obligations. This finding suggests that corporate managers and investors could use the auction information to gauge the regime …

We construct a neural network algorithm that generates price predictions for art at auction, relying on both visual and … non-visual object characteristics. We find that higher automated valuations relative to auction house pre-sale estimates … average prices. Furthermore, we show that auctioneers' prediction errors are persistent both at the artist and at the auction …

We introduce automation into the standard Solovian model of capital accumulation and show that (i) there is the … diverted to automation that maximizes the long-run growth rate of the economy; (iv) the labor share declines with automation to …

We introduce automation into a standard model of capital accumulation and show that (i) there is the possibility of … automation that maximizes long-run growth; (iv) the labor share declines with automation to an extent that fits to the observed …