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    Public health expenditures, taxation, and growth

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    DO GLOBAL CRUDE OIL MARKET SHOCKS HAVE DIFFERENTIAL EFFECTS ON US REGIONS?

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    The paper investigates whether US regions respond differently to shocks in the crude oil market. We disentangle oil market shocks into distinct demand and supply shocks and examine the response of regional personal income to these shocks. Results indicate that for most regions, oil supply shocks decrease real personal income. Except for the Rocky Mountains and the Southwest, global aggregate demand shocks are recessionary, typically about a year and a half after the shock. When we split our data into oil-producing and non-oil-producing regions, we find that global aggregate demand shocks have no effect on oil-producing regions but cause a decrease in income in non-oil-producing regions. Our analysis further indicates that oil-specific demand shocks have positive and persistent impacts on oil-producing regions but are recessionary in non-oil-producing regions. We also document significant asymmetries in the regional responses to small versus large oil shocks. In addition, the paper shows that regional differences in industrial composition explain some of the variation in the responses of real regional personal income to oil shocks.</jats:p

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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