Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1016/j.econlet.2022.110348 http://scihub22266oqcxt.onion/10.1016/j.econlet.2022.110348 35153346!8820020!35153346     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Econ+Lett 2022 ; 213 (ä): 110348 Nephropedia Template TP {{tp|p=35153346|t=2022. Data misreporting during the COVID19 crisis: The role of political institutions |pdf=|usr=}}{{35153346}} gab.com Text Data misreporting during the COVID19 crisis: The role of political institutions JO: Econ Lett http://www.kidney.de/pget.php?&tw=1&pmid=35153346 #FOAvip We use Benford's law of first digits to determine whether there is evidence of data misreporting in the total COVID19 reported cases across countries. We try to model the differences in the Mean Absolute Deviation of actual data from those predicted by Benford's law to indicate the factors that lead to data misreporting using regression analysis. Using the Instrumental Variable model of Lewbel (2012) and Settler Mortality as an external instrument for democracy, we show that autocratic countries are more likely to misreport the COVID19 cases. Twit Text FOAVip Data misreporting during the COVID19 crisis: The role of political institutions ????Econ Lett http://www.kidney.de/pget.php?&tw=1&pmid=35153346 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35153346 #FOAvip English Wikipedia <ref>{{Cite pmid|35153346}}</ref> Data misreporting during the COVID19 crisis: The role of political institutions #MMPMID35153346 Adam A; Tsarsitalidou S Econ Lett 2022[Apr]; 213 (ä): 110348 PMID35153346show ga We use Benford's law of first digits to determine whether there is evidence of data misreporting in the total COVID19 reported cases across countries. We try to model the differences in the Mean Absolute Deviation of actual data from those predicted by Benford's law to indicate the factors that lead to data misreporting using regression analysis. Using the Instrumental Variable model of Lewbel (2012) and Settler Mortality as an external instrument for democracy, we show that autocratic countries are more likely to misreport the COVID19 cases. äData misreporting during the COVID19 crisis: The role of political ins(epmc).pdf DeepDyve Pubget Overpricing