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Online markets reduce certain transaction costs related to global outsourcing. We focus on the role of verified work experience information in affecting online hiring decisions. Prior research shows that additional information about job applicants may disproportionately help or hinder disadvantaged populations. Using data from a major online contract labor platform, we find that contractors from less developed countries (LDCs) are disadvantaged relative to those from developed countries (DCs) in terms of their likelihood of being hired. However, we also find that although verified experience information increases the likelihood of being hired for all applicants, this effect is disproportionately large for LDC contractors. The LDC experience premium applies to other outcomes as well (wage bids, obtaining an interview, being shortlisted). Moreover, it is stronger for experienced employers, suggesting that learning is required to interpret this information. Finally, other platform tools (e.g., monitoring) partially substitute for the LDC experience premium; this provides additional support for the interpretation that the effect is due to information about experience rather than skills acquired from experience. We discuss implications for the geography of production and public policy.
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Using novel survey data on technology licensing, we report the first empirical evidence linking the three main sources of failure emphasized in the market design literature (lack of market thickness, congestion, lack of market safety) to deal outcomes. We disaggregate the licensing process into three stages and find that although lack of market thickness and deal failure are correlated in the first stage, they are not in the latter stages, underscoring the bilateral monopoly conditions under which negotiations over intellectual property often occur. In contrast, market safety is only salient in the final stage. Several commonly referenced bargaining frictions (congestion) are salient, particularly in the second stage. Also, universities and firms differ in the stage during which they are most likely to experience deal failure.
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We report a puzzling pair of facts concerning the organization of science. The concentration of research output is declining at the department level but increasing at the individual level. For example, in evolutionary biology, over the period 1980 to 2000, the fraction of citation-weighted publications produced by the top 20% of departments falls from approximately 75% to 60% but over the same period rises for the top 20% of individual scientists from 70% to 80%. We speculate that this may be due to changing patterns of collaboration, perhaps caused by the rising burden of knowledge and the falling cost of communication, both of which increase the returns to collaboration. Indeed, we report evidence that the propensity to collaborate is rising over time. Furthermore, the nature of collaboration is also changing. For example, the geographic distance as well as the difference in institution rank between collaborators is increasing over time. Moreover, the relative size of the pool of potential distant collaborators for star versus non-star scientists is rising over time. We develop a simple model based on star advantage in terms of the opportunities for collaboration that provides a unified explanation for these facts. Finally, considering the effect of individual location decisions of stars on the overall distribution of human capital, we speculate on the efficiency of the emerging distribution of scientific activity, given the localized externalities generated by stars on the one hand and the increasing returns to distant collaboration on the other.
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We conduct the first empirical test of the knowledge burden hypothesis, one of several theories advanced to explain increasing team sizes in science. For identification, we exploit the collapse of the USSR as an exogenous shock to the knowledge frontier causing a sudden release of previously hidden research. We report evidence that team size increased disproportionately in Soviet-rich relative to -poor subfields of theoretical mathematics after 1990. Furthermore, consistent with the hypothesized mechanism, scholars in Soviet-rich subfields disproportionately increased citations to Soviet prior art and became increasingly specialized.
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