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Quasi-stellar objects (QSOs) whose spectral energy distributions (SEDs) arereddened by dust either in their host galaxies or in intervening absorbergalaxies are to a large degree missed by optical color selection criteria likethe one used by the Sloan Digital Sky Survey (SDSS). To overcome this biasagainst red QSOs, we employ a combined optical and near-infrared colorselection. In this paper, we present a spectroscopic follow-up campaign of asample of red candidate QSOs which were selected from the SDSS and the UKIRTInfrared Deep Sky Survey (UKIDSS). The spectroscopic data and SDSS/UKIDSSphotometry are supplemented by mid-infrared photometry from the Wide-fieldInfrared Survey Explorer. In our sample of 159 candidates, 154 (97%) areconfirmed to be QSOs. We use a statistical algorithm to identify sightlineswith plausible intervening absorption systems and identify nine such casesassuming dust in the absorber similar to Large Magellanic Cloud sightlines. Wefind absorption systems toward 30 QSOs, 2 of which are consistent with thebest-fit absorber redshift from the statistical modeling. Furthermore, weobserve a broad range in SED properties of the QSOs as probed by the rest-frame2 {\mu}m flux. We find QSOs with a strong excess as well as QSOs with a largedeficit at rest-frame 2 {\mu}m relative to a QSO template. Potential solutionsto these discrepancies are discussed. Overall, our study demonstrates the highefficiency of the optical/near-infrared selection of red QSOs.

The High A(V) Quasar Survey: Reddened quasi-stellar objects selected from optical/near-infrared photometry - II