macartan.nyc valuation and analysis

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Title Macartan
Description Toggle navigation home (current) projects packages teaching classes resources applying for a PhD writing all writing by topic books articles unpublished p
Keywords political-science, macartan-humphreys, international-development, wzb
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WebSite macartan faviconmacartan.nyc
Host IP 23.229.233.101
Location United States
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macartan.nyc Valuation
US$2,179,769
Last updated: 2023-05-10 13:39:19

macartan.nyc has Semrush global rank of 4,855,700. macartan.nyc has an estimated worth of US$ 2,179,769, based on its estimated Ads revenue. macartan.nyc receives approximately 251,512 unique visitors each day. Its web server is located in United States, with IP address 23.229.233.101. According to SiteAdvisor, macartan.nyc is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$2,179,769
Daily Ads Revenue US$2,013
Monthly Ads Revenue US$60,363
Yearly Ads Revenue US$724,354
Daily Unique Visitors 16,768
Note: All traffic and earnings values are estimates.
DNS Records
Host Type TTL Data
macartan.nyc. A 10800 IP: 23.229.233.101
macartan.nyc. NS 3600 NS Record: ns26.domaincontrol.com.
macartan.nyc. NS 3600 NS Record: ns25.domaincontrol.com.
macartan.nyc. MX 3600 MX Record: 0 mail.macartan.nyc.
macartan.nyc. TXT 3600 TXT Record: v=spf1 a mx ptr include:secureserver.net ~all
HtmlToTextCheckTime:2023-05-10 13:39:19
Toggle navigation home (current) projects packages teaching classes resources applying for a PhD writing all writing by topic books articles unpublished posts bio Macartan Humphreys Director @ WZB Berlin • Professor @ Columbia University I am a Professor of Political Science at Columbia University and director of the Institutions and Political Inequality group at the WZB Berlin Social Science Center. More about me here All writing, by topic, here recent writing SMR Bounding causes of effects with mediators Philip Dawid, Macartan Humphreys , and Monica Musio Sociological Methods & Research 2022 Abs Bib HTML PDF Code Suppose X and Y are binary exposure and outcome variables, and we have full knowledge of the distribution of Y, given application of X. We are interested in assessing whether an outcome in some case is due to the exposure. This “probability of causation” is of interest in comparative historical analysis where scholars use process tracing approaches to learn about causes of
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