{"id":447,"date":"2017-05-08T22:18:27","date_gmt":"2017-05-08T21:18:27","guid":{"rendered":"https:\/\/marriott-stats.com\/nigels-blog\/?p=447"},"modified":"2019-02-09T10:47:23","modified_gmt":"2019-02-09T10:47:23","slug":"uk-general-election-2017-forecast-by-seat-3-cardiff-south-penarth-wales","status":"publish","type":"post","link":"https:\/\/marriott-stats.com\/nigels-blog\/uk-general-election-2017-forecast-by-seat-3-cardiff-south-penarth-wales\/","title":{"rendered":"UK General Election 2017 Seat Forecast #3 – Cardiff South & Penarth, Wales"},"content":{"rendered":"

This is the\u00a0third of my seat forecasts for the 2017 general election and my first for a Welsh seat.\u00a0 By co-incidence the\u00a0second Welsh Barometer poll <\/a>was published today so I am able to explore this seat using a Welsh specific poll.<\/p>\n

My Prediction –\u00a0LAB Hold but now a very close marginal for what used to be a safe Labour seat<\/strong><\/span><\/h3>\n

\"\"My first seat forecast was for the CON\/LD battleground of Bath in the South West <\/a>and in that post I describe my 3 forecasting models in some depth so please read that post if you are unfamiliar with these.\u00a0 A reminder that the 3 models are:<\/p>\n

    \n
  1. URS – Uniform Regional Swing model based on chart R1 of my Opinion Poll Tracker<\/a>.<\/li>\n
  2. URS + Tactical – my URS forecast plus my new tactical voting model.<\/li>\n
  3. EU16 Realign – my Brexit Realignment model based on my by-election forecasting model <\/a>but with some tweaks.\u00a0 For now, I am not regarding this as a forecast, rather it is a sense check for my other forecasts.<\/li>\n<\/ol>\n

    I have run these models and all 3 predict a Labour hold but with a very narrow majority of 1%.\u00a0 What was a safe Labour seat with a 16% majority in 2015 is now a key marginal.\u00a0 Interestingly, there is little opportunity for tactical voting in this seat, it is now a straight Labour v Conservative fight.<\/p>\n

    \"\"Had I written this post before the latest Welsh barometer poll, then I would have been predicting a Conservative Gain with a majority of 5%.\u00a0 However over the last week, Labour has narrowed the gap on the Conservatives in Wales as can be seen in chart R3 below.\u00a0 A week ago, the Conservatives had an 11% lead over Labour but this is now 6% which is a still a dramatic situation for Wales.\u00a0 If this comes to pass, it will be the first time in a century that Labour has failed to top the poll in Wales at a General Election.<\/p>\n

    Chart R2 is the same information as displayed for\u00a0Wales in chart R1 of my Opinion Poll Tracker<\/a>, R3 is the rolling 15 poll\u00a0median for the\u00a0Welsh crossbreaks of all the polls.<\/p>\n

     <\/p>\n

    \"\"<\/p>\n

    Is a non-Uniform Regional Swing apparent?<\/strong>\"\"<\/i><\/u><\/span><\/h3>\n

    One criticism of my URS model is that it is probably unlikely that the swing will be the same in every seat\u00a0in Wales.\u00a0 Seat to seat variation is much more likely and my tactical voting model allows this to happen where the “progressive alliance” is expected to outnumber UKIP which is not the case in this seat.\u00a0 The Welsh Barometer poll however contained some additional information that gives a clue as to what\u00a0a non-Uniform Regional Swing might look like and I am sure you will not be surprised when I say that Brexit is the key!<\/p>\n

    Elections to the Welsh assembly uses the same 40 constituencies for UK elections but in addition, 20 members are elected through the d’Hondt system.\u00a0 This is done by splitting Wales into 5 regions as shown in the map and electing 4 members per region.\u00a0 The Welsh Barometer poll\u00a0uses the same regions to provide a regional crossbreak of Welsh voting intentions and these are summarised in the table below.<\/p>\n

    For each sub-region, I have calculated the Leave vote using my referendum model <\/a>and then calculated the Deviation from the Welsh average as sho\"\"wn by the dark blue column.\u00a0 So for South Central (which includes Cardiff South & Penarth), the Leave vote was 6% lower than for Wales as a whole.<\/p>\n

    I have then listed the Conservative vote share in the 2015 General Election and then two estimates for the 2017 General Election.\u00a0 The URS one is my Uniform Regional Swing for Wales which from chart R2 above is +14% which when added to the 2015 figures gives the 2017 estimates as shown.\u00a0 The second 2017 estimate is the sub-regional cross breaks from the Welsh Barometer Poll (WBP).\u00a0 As you can see there is a difference and the last column in green shows the difference between WBP & URS.\u00a0 In South Central,\u00a0WBP gives an estimated Conservative vote share which is 5% lower than the URS estimate.<\/p>\n

    So the sub-region least likely to vote\u00a0Leave is the sub-region least likely to vote Conservative in Wales.\u00a0\u00a0Recall that an earlier Barometer poll was published on 25th April and it was then that I first performed these calculations.\u00a0 By plotting the DEV\u00a0column (dark blue) for the Leave vote deviation against the difference between WBP & URS on a scatter\u00a0plot we see that\u00a0overall there\u00a0appears to be a good relationship.\"\"\u00a0\u00a0 Note I have labelled the points with the sub region (WSC is Wales South Central) and a number denoting which Barometer poll it refers to, the first one in April or the second one today.\u00a0 There is also one additional point I can add which is for the Kensington constituency <\/a>(KENS)\u00a0since that has had a constituency level poll published.<\/p>\n

    The overall correlation coefficient is +0.74 and the slope of the fitted line is +1.1.\u00a0 So for every additional 1% Leave vote in a seat, the Conservative vote share will be 1.1% higher than predicted from URS.\u00a0 In the case of Cardiff South & Penarth, the Leave vote was 6% lower than the Welsh total so using this relationship, the Conservative vote would be 6.6% lower.\u00a0 Of course, if their vote is lower by this amount, the vote for another party will be higher.\u00a0 As yet, I haven’t worked out what is the best way to reallocate the votes using this method but clearly in the case of Cardiff South & Penarth, this non-Uniform Regional Swing would make the seat a comfortable Labour hold.<\/p>\n

    I am intrigued by the potential of this effect but I would want to have more sub-regional and\/or constituency polling before I turned this effect into a prediction model.\u00a0 I have tried a basic model out and so far the effect appears to be similar to my Brexit realignment model in that whilst a number of seats would see lower Conservative votes and fewer gains, these would be outweighed by more gains among the Leave seats.\u00a0 I will update this post once I have a model that I am willing to share.<\/p>\n

    If you would like to see\u00a0my predicted outcomes for all 632 seats in Britain, please visit my 2017 General Election Forecast page<\/a> and download the spreadsheet at the bottom of the page.<\/p>\n","protected":false},"excerpt":{"rendered":"

    This is the\u00a0third of my seat forecasts for the 2017 general election and my first for a Welsh seat.\u00a0 By co-incidence the\u00a0second Welsh Barometer poll was published today so I am able to explore this seat using a Welsh specific poll. My Prediction –\u00a0LAB Hold but now a very close marginal for what used to […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[90],"tags":[21,19,43,45],"class_list":{"0":"post-447","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-archive","7":"tag-election-forecasting","8":"tag-elections","9":"tag-general-election-2017","10":"tag-seat-forecast","11":"entry","12":"override"},"_links":{"self":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/447","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/comments?post=447"}],"version-history":[{"count":9,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/447\/revisions"}],"predecessor-version":[{"id":1505,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/posts\/447\/revisions\/1505"}],"wp:attachment":[{"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/media?parent=447"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/categories?post=447"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/marriott-stats.com\/nigels-blog\/wp-json\/wp\/v2\/tags?post=447"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}