I start sounding like a broken record. The issue of UK is not primarily due to a high level of taxation but due to poor use of public money & the poor quality public goods bought in return. I have documented this across numerous pieces of careful research... here is a short ๐งตโฌ๏ธ
Exhibit 1: Most of austerity was a drag on growth. In "Did #Austerity Cause #Brexit?" I show that austerity itself was contractionary and the tax that could have been collected on higher incomes without austerity would have easily saved as much as austerity was projected to save.
Exhibit 2: Housing benefit cuts (FYI: these benefits are only so expensive as the UK's economic model is build on housing shortage)... but there weren't much savings as councils had to deal with the fallout: higher homeless prevention spending and putting up people in privately
run shelters. The govt is creating deprivation that can be preyed on by private firms. I dont see an issue with firms jumping on opportunities (incentives work!). The failure is that such policies see the light of day. And our study can only look at the short term cost.
Exhibit 3: Eat-out-to-help-out was a stupid policy, wasting nearly GBP 1bn in the middle of the pandemic to boost, well, COVID, at a time, when it was not safe. The result: a quicker and longer second lockdown hurting those same businesses that EOTHO was meant to protect.
I could continue but it is so self-evident that UK policy making is not working in producing outcomes that actually benefit society. Public resources are repeatedly wasted. The political answers are IMO not found in the extremes. There are no simple solutions to our problems!
But right now, we are in a situation where politics, that is supposed to provide solutions is repeatedly failing on a grand scale. Over the coming weeks and months I shall provide a research-based guide to dissecting the economic and social policy response to the economic crisis.
This crisis is very much exacerbated due to our politics failing us. We need to clean up our own house. As an academic I will use my tool of choice: carefully executed positive forward looking research. This is possible because politics is just so predictable. Watch this space.
โข โข โข
Missing some Tweet in this thread? You can try to
force a refresh
Does #COVID19 crowd out care for non COVID patients in the #NHS? Has this led to a loss of lives? Are the numbers negligible? The short answers are: yes, yes & no!
Paper โก๏ธ bit.ly/33XMyHB & a long๐งตon how we capture non COVID19 excess deaths & much more โฌ๏ธ 1/n
Lets start with a headline result: we estimate that for every 30 #COVID deaths there is at least one avoidable non COVID excess death in ๐ด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ hospitals. To arrive at this we use cool #NHS data which makes for a great #EconTwitter#econometrics#DataScience teaching example. 2/n
The #NHS has population individual level hospital episode data (HES) linked to death certificates. For each admitted patient, they predict P(Death|X). This is an out-of-sample prediction coming from Lasso logistic regression model trained on data from the last 3 years. 3/n
What is the epidemiological impact of a #falsenegative#COVID test? An important question in a high vaxx/low NPI context, but one that cannot be studied in a experiment for obvious reasons. Enter the UK, a reliable supplier of #naturalexperiments. ๐งตโฌ๏ธ
โก๏ธbit.ly/3DhqQv5
On Oct 15, @UKHSA suspended an #Immensa lab, because of community reports of neg PCR tests following a pos lateral flow. There was loads of excellent reporting e.g. by @rowenamason@tomjs@JamieGrierson. NHS TT estimates that 43,000 individuals may have been given a .. 2/N
false negative result most concentrated in South West of England. Even across all of England, a notable increase in both absolute # and relative % of PCR tests matched to a positive LFD tests producing a negative result from early Sept to early Oct 3/N
Today is the 5th year anniversary of the 2016 EU referendum vote in which the UK had narrowly voted to #Leave the European Union. Unlike Trump, the impact is permanent and already caused notable damage. Here is a ๐งต of ๐งต with some past work and deliberations on #Brexit... 1/...
In one of the first papers we asked "Who voted for #Brexit?". The paper is a systematic correlational analysis of what is common to #Leave support across districts and within cities & we also show that a #Brexit model can predict LePen voting. Link: goo.gl/VzBo57 2/
Similarly, we augment the analysis using individual level data. This helps tackle whether correlational district level evidence is due to ecological fallacy. Open access at @ejprjournalgoo.gl/sPzzwf 3/
So I am going to report on some lack of progress about a #FOIA request we launched to @PHE_uk last Nov to make data available on the #Excel error that resulted in 15k #COVID19 cases to not be contact traced in a timely fashion (whatdotheyknow.com/request/regionโฆ). The response so far is ...
quite underwhelming. In the paper we reverse engineer the geographic distribution of the missing cases which is far from perfect. We find that places with higher exposure to the contact tracing error saw a notable differential increase in infections and subsequent deaths.
Naturally we would much rather prefer to work with the actual data as the measurement will be more precise. And further, it would allow for a direct measurement of infections among contacts of individuals that were traced with a delay. But @PHE_uk do not consider this is of
So @UKHofficial did have a look at my paper on #EOHO and #COVID19 - they have gone to some lengths to try to cast doubt about my research, the methods & results (see ukhospitality.org.uk/page/SafeReopeโฆ). So here are their point-by-point lines of attack on my work and my response. Thread ๐งตโฌ๏ธ
Point 1: Misunderstanding the research design and aggregate data fallacy 1/
Point 2: Actually, EOHO did not increase restaurant visits that much. 2/
Timely #ContactTracing does matter fighting #COVID19. In a new paper (โก๏ธ bit.ly/394Ebuo) we study a bizarre #Excel error in England that caused 16k cases to NOT be contact traced. We econometrically can link this blunder to ~ 120k new cases & 1.5k deaths...๐งตโฌ๏ธ1/N
Studying non-pharmaceutical interventions to fight #COVID19 is HARD because we hardly ever isolate specific individual policies as often many measures are taken together (lockdowns, school closures, masks,...). For #ContractTracing we also have mostly correlational evidence...2/N
Enter the English Test&Trace system hastily built on, what appears to be a set of XLS spreadsheets giving us a consequential natural experiment. On Oct 4, PHE announced that ~ 16k #COVID19 cases were not correctly reported resulting in a large jump in reported cases.. 3/N