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10.1007/s10640-020-00467-4 http://scihub22266oqcxt.onion/10.1007/s10640-020-00467-4 32836850!7399598!32836850     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Environ+Resour+Econ+(Dordr) 2020 ; 76 (4): 885-900 Nephropedia Template TP {{tp|p=32836850|t=2020. Real-Time Estimation of the Short-Run Impact of COVID-19 on Economic Activity Using Electricity Market Data |pdf=|usr=}}{{32836850}} gab.com Text Real-Time Estimation of the Short-Run Impact of COVID-19 on Economic Activity Using Electricity Market Data JO: Environ Resour Econ (Dordr) http://www.kidney.de/pget.php?&tw=1&pmid=32836850 #FOAvip In response to the COVID-19 emergency, many countries have introduced a series of social-distancing measures including lockdowns and businesses' shutdowns, in an attempt to curb the spread of the infection. Accordingly, the pandemic has been generating unprecedented disruption on practically every aspect of society. This paper demonstrates that high-frequency electricity market data can be used to estimate the causal, short-run impacts of COVID-19 on the economy, providing information that is essential for shaping future lockdown policy. Unlike official statistics, which are published with a delay of a few months, our approach permits almost real-time monitoring of the economic impact of the containment policies and the financial stimuli introduced to address the crisis. We illustrate our methodology using daily data for the Italian day-ahead power market. We estimate that the 3 weeks of most severe lockdown reduced the corresponding Italian Gross Domestic Product (GDP) by roughly 30%. Such negative impacts are now progressively declining but, at the end of June 2020, GDP is still about 8.5% lower than it would have been without the outbreak. Twit Text FOAVip Real-Time Estimation of the Short-Run Impact of COVID-19 on Economic Activity Using Electricity Market Data ????Environ Resour Econ (Dordr) http://www.kidney.de/pget.php?&tw=1&pmid=32836850 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32836850 #FOAvip English Wikipedia <ref>{{Cite pmid|32836850}}</ref> Real-Time Estimation of the Short-Run Impact of COVID-19 on Economic Activity Using Electricity Market Data #MMPMID32836850 Fezzi C; Fanghella V Environ Resour Econ (Dordr) 2020[]; 76 (4): 885-900 PMID32836850show ga In response to the COVID-19 emergency, many countries have introduced a series of social-distancing measures including lockdowns and businesses' shutdowns, in an attempt to curb the spread of the infection. Accordingly, the pandemic has been generating unprecedented disruption on practically every aspect of society. This paper demonstrates that high-frequency electricity market data can be used to estimate the causal, short-run impacts of COVID-19 on the economy, providing information that is essential for shaping future lockdown policy. Unlike official statistics, which are published with a delay of a few months, our approach permits almost real-time monitoring of the economic impact of the containment policies and the financial stimuli introduced to address the crisis. We illustrate our methodology using daily data for the Italian day-ahead power market. We estimate that the 3 weeks of most severe lockdown reduced the corresponding Italian Gross Domestic Product (GDP) by roughly 30%. Such negative impacts are now progressively declining but, at the end of June 2020, GDP is still about 8.5% lower than it would have been without the outbreak. äReal-Time Estimation of the Short-Run Impact of COVID-19 on Economic A(epmc).pdf DeepDyve Pubget Overpricing