The ONS published this week a new – I’d say conceptually more sound – experimental house price index. It is based on the stock of homes not the flow so tells us what’s happening to the whole market not the price of what’s just been sold. The estimate of the average price is lower than under the old methodology – £194,000 compared to £215,000 in the old measure, about 10% lower. The stroke of the methodologist’s pen has made homes more affordable even though no prices have changed! Perhaps this is the time to reflect on the full range of house price estimates at our disposal – and, dare I say it, how meaningless the average numbers are? Depending on what you count and how you add the numbers up, the resulting averages can be wildly different, as much as £100,000 apart. Continue reading The price of a house – a stupid average
The recent political coming and goings (the EU referendum, the arrival of a new Prime Minster and Labour’s travails) has seen a period of unusual attitudes to facts. More people seemingly want information and yet the (accurate) use of facts by politicians, some elements of the media and quite a few people has fallen to new lows. Experts are being rubbished, institutions’ reputations are being damaged, and the media is accused of being biased, prompting discussion of a post-truth society. There is much talk of a fractured Britain as technology and globalisation have hastened economic disruption affecting many livelihoods.
This note sets out a few steps – go local, kill the average, be open, do good research, un-spin and tell good stories – that the statistics world might take to help people reconnect with reality and help policy makers understand what might be needed if we are to establish a more sensible approach to debate and policy. It has much in common with the Data Manifesto published by the Royal Statistical Society two years ago. Continue reading Post-truth, post-Brexit statistics
The rise of migration to the UK has been one of the extraordinary stories of the last 20 or so years. A majority of Britons want migration to be lower and think (by six to one) that the Government’s policy towards it as been unsatisfactory. High migration was surely one of the main reasons why the referendum happened and why the “leave” camp won. Perhaps curiously, Mrs May, who has been Home Secretary for six years, is the odds-on favourite to be the next Prime Minister, despite having overseen a migration failure. She did not get to grips with the mismanagement of e-borders, promoted the conceptually ridiculous net immigration target, signed up to the “tens of thousands” manifesto pledge, and then missed it by a factor of around ten. Under her watch, there has been net immigration of 1.8m and gross immigration of nearly 3m despite a myriad of mini-adjustments to migration rules. Conservative party members who are concerned about migration will want to see a clear commitment from Mrs May to end free movement in Europe and introduce a new immigration system and work permits. Continue reading Mrs May’s record on immigration
The Bean Review of government statistics will assess what the public sector data machine needs to make it fit for purpose for the next decade or two. The regulatory framework and outputs are part of that but at the core is a question about sources: how can big data, open data and administrative data help deliver more and new accurate statistics, in a more timely fashion and for less money. This note tries to unravel what these terms might mean for the Government Statistical Service (GSS). It concludes that there is an imperative to investigate the possibilities and that the Bean review can ensure that the required development work is supported at the highest level in government. Continue reading Big, open and admin – what’s what for government statistics?
England are out of the rugby world cup. That’s a shame for England fans but one of the world’s top sides was going to go out at this stage. Had it been Wales or Australia it would have been just as bad (for the tournament) and just as unjust. And the fault for losing one of the world’s best five teams in the pool stage is fairly and squarely at the door of the organisers. World Rugby have truly failed with their group seeding. There were three easy fixes. Schoolboy errors, a commentator might say. Continue reading Rugby’s “group of hell”