The Intraday Effect of Public Information: Empirical Evidence of Market Reaction to Asset Specific News from the US, UK, and Australia

Author(s):  
Calum Stewart Robertson ◽  
Shlomo Geva ◽  
Rodney Wolff
2021 ◽  
Vol 14 ◽  
pp. 117863292110192
Author(s):  
Minh Van Hoang ◽  
Anh Tuan Tran ◽  
Trang Thu Vu ◽  
Tuan Kim Duong

This study examined the coronavirus disease 2019 (COVID-19) preparedness and response of the health system (HS) in Hanoi, Vietnam, and identified enabling factors and barriers. This cross-sectional, mixed-methods study was conducted in 4 urban and peri-urban districts that included some wards with COVID-19-positive cases and some without. The US Centers for Disease Control and Prevention (CDC) analytical frameworks were used. Overall, 10% of health facilities (HFs) failed to fully implement COVID-19 risk determination; 8.8% failed to fully implement stronger community partnerships with local stakeholders to support public health (PH) preparedness; 35% and 2.5% incompletely implemented and did not implement evaluation of PH emergency operations, respectively; 10% did not identify communication channels to issue public information, alerts, warnings, and notifications; 25% incompletely implemented identification, development of guidance, and standards for information; 72.5% had good preventive and treatment collaboration; and 10% did not fully implement procedures for laboratory testing and reporting results. Enablers included sufficient infrastructure and equipment, strong leadership, and good cross-public-sector collaboration with police and military forces. Barriers included workforce constraints, overburdened and inconsistent reporting systems, inappropriate financial mechanisms, ambiguous health governance, and lack of private-sector engagement. Nonetheless, the HS preparedness and response were satisfactory, although further coordinated efforts in evaluation, coordination, communication, and volunteering remain necessary.


Author(s):  
Yun Li ◽  
Moming Li ◽  
Megan Rice ◽  
Haoyuan Zhang ◽  
Dexuan Sha ◽  
...  

Social distancing policies have been regarded as effective in containing the rapid spread of COVID-19. However, there is a limited understanding of policy effectiveness from a spatiotemporal perspective. This study integrates geographical, demographical, and other key factors into a regression-based event study framework, to assess the effectiveness of seven major policies on human mobility and COVID-19 case growth rates, with a spatiotemporal emphasis. Our results demonstrate that stay-at-home orders, workplace closures, and public information campaigns were effective in decreasing the confirmed case growth rate. For stay-at-home orders and workplace closures, these changes were associated with significant decreases (p < 0.05) in mobility. Public information campaigns did not see these same mobility trends, but the growth rate still decreased significantly in all analysis periods (p < 0.01). Stay-at-home orders and international/national travel controls had limited mitigation effects on the death case growth rate (p < 0.1). The relationships between policies, mobility, and epidemiological metrics allowed us to evaluate the effectiveness of each policy and gave us insight into the spatiotemporal patterns and mechanisms by which these measures work. Our analysis will provide policymakers with better knowledge regarding the effectiveness of measures in space–time disaggregation.


2016 ◽  
Vol 16 (4) ◽  
Author(s):  
Daniel C. Hickman ◽  
Andrew G. Meyer

Abstract: Eco-labeling of services has become increasingly common, yet little empirical evidence exists concerning its effectiveness. We address this gap in the literature by analyzing a highly visible eco-label, the American College and University Presidents’ Climate Commitment (ACUPCC), in the sector of higher education. We match information about the ACUPCC to the US Department of Education IPEDS database to examine the impact of signing on student applications, admissions, and enrollment. We mainly utilize a difference-in-difference approach to identify the effects of interest but confirm results with an interrupted time series model. We find that signing the ACUPCC increases applications and admitted students by 2.5–3.5 %. However, the evidence regarding enrollment is weaker with only some specifications finding increases of around 1–2 %. Overall, there is considerable heterogeneity across sectors and selectivity of the institutions. These results show that, at the minimum, voluntary and information-based approaches (VIBAs) for services can be effective in generating visibility and influencing less-costly consumer behavior.


2018 ◽  
Vol 24 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Chiara Ravetti ◽  
Tim Swanson ◽  
Yana Jin ◽  
Quan Mu ◽  
Shiqiu Zhang

AbstractThis paper analyses the implications of government control over public information about air pollution. First, we model the incentives for a local government with control over the media to affect popular perception concerning pollution. We argue that biased announcements can influence the inflows of labour force in a municipality beyond economic factors. Then, we examine some evidence on information misreporting in the context of Beijing, China. We show that official air pollution announcements diverge systematically from an alternative source of information, provided by the US Embassy. The results point at a manipulation of popular perception consistent with the motives indicated in our model. Furthermore, using an original household survey, we examine whether the distorted public signal affects agents' behaviour. We find that households that depend upon government-controlled media are significantly less responsive to pollution peaks.


2019 ◽  
Vol 109 ◽  
pp. 397-402 ◽  
Author(s):  
John M. Abowd ◽  
Ian M. Schmutte ◽  
William N. Sexton ◽  
Lars Vilhuber

When Google or the US Census Bureau publishes detailed statistics on browsing habits or neighborhood characteristics, some privacy is lost for everybody while supplying public information. To date, economists have not focused on the privacy loss inherent in data publication. In their stead, these issues have been advanced almost exclusively by computer scientists who are primarily interested in technical problems associated with protecting privacy. Economists should join the discussion, first to determine where to balance privacy protection against data quality--a social choice problem. Furthermore, economists must ensure new privacy models preserve the validity of public data for economic research.


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