Newspoll 55-45; ACNielsen 52-48 in Labor’s favour

Bryan · Monday 22 September 2008 · 7:16 am

Typically, large poll bounces following the change of an opposition leader require three things:

  1. an unpopular government;
  2. an unpopular outgoing opposition leader; and
  3. a new opposition leader that excites.

In the past, large bounces associated with incoming opposition leaders met these criteria (for example, when Rudd replaced Beazley Mk II against the backdrop of the last year of the Howard Government).

The Brendan Nelson to Malcolm Turnbull change does not satisfy all of the criteria for a large poll bounce. Unquestionably, Nelson was an unpopular outgoing opposition leader. It is arguable that Turnbull is a new opposition leader that excites. But Rudd and his government are a long way from being an unpopular.

Not surprisingly, therefore, today’s bounce associated with the ascension of Turnbull is small: three two-party preferred percentage points with ACNielsen, and one point with Newspoll (which is not statistically significant).

Interestingly, the largest bounce appears to have occurred against ACNielsen’s attitudinal question on who would be your preferred prime minister.

ACNielsen: Better Prime Minister

The full set of graphs will become available here, when the full polling results are released.

Party graphs …

Bryan · Thursday 18 September 2008 · 8:33 am

And today we have the graphs that compare the pollster’s predictions for each of the parties. The same house bias that has existed for some time appears evident in the latest graphs.

Labor's two party preferred vote share

Labor's primary vote share

The Coalition's primary vote share

The Green's primary vote share

The primary vote share for other parties

Day 39 report

Bryan · Friday 23 November 2007 · 6:26 am

Apology: but I must be at work early this morning, so you will have to wait until this evening for a full report.

Conflicted polls: two polls out last night tell a very different story. Galaxy, has the Coalition in line for a two seat majority, despite losing the two-party preferred vote 52 to 48 in Labor’s favour. ACNielsen, predicts annihilation for Howard with a two-party preferred vote of 57 to 43 in Labor’s favour if preferences are allocated according to what people reported or 56 to 44 if votes are allocated using preference flows from 2004.

Opinion polls: Coalition two-party preferred vote

I have not updated the other graphs. You may need to hit the refresh or reload button on your browser to see the latest charts.

Day 36 report

Bryan · Tuesday 20 November 2007 · 7:12 am

Yesterday, Labor announced policies on or funding for cyber-safety, mentors for students, defence and IT projects in Northern Adelaide, congestion on Sydney rail, the botanical gardens in Canberra and a Wimmera-Mallee water pipeline.

The Coalition announced its forestry policy.

Newspoll: Today’s Australian had the latest Newspoll. The headline prediction was 54 to 46 for Labor.

Newspoll: Two-party preferred vote for Coalition

The usual opinion poll graphs are here. You may need to hit the refresh or reload button on your browser to see the latest graphs.

Predictions: Simon Jackman predicted Labor would win 54 per cent of the two party preferred vote (with a 95 per cent confidence interval that the final result would be between 52 and 56 per cent. Drop that figure into Antony’s calculator, and it gives a prediction of 87 seats.

Simon’s prediction aligns with my perceptions of how the polls are trending. However, I discovered I am uncomfortable with the way both Antony’s calculator and mine translated two party preferred predictions into seat counts. We both used a simple, binary cut-off method. This can lead to very lumpy results. For example, with both of our online calculators 54.0 per cent for Labor yields 87 seats; but 54.1 per cent yields 90 seats.

A solution to my problem with the lumpiness of the online calculators came from a conversation I had with Antony Green a few weeks ago. Antony explained how the ABC does its election night seat prediction by summing the probability of the parties winning each seat (based on a booth by booth comparison function within seats). I decided to test a similar approach to converting TPP results to seat outcomes by summing probabilities. This approach allows a better recognition that individual seat swings are typically normally distributed around the national (or state based) uniform swing.

Rather than recording a seat as a win (1) or a loss (0), I have applied a cumulative probability function with a standard deviation of 2.3 percentage points. If a seat is sitting on the same margin as the predicted swing, it would have a 50 per cent chance of being won by both parties. If the seat was on a margin 4.6 percentage points below the predicted swing to Labor (ie. two standard deviations) it is 96 per cent likely to go to Labor. If a seat is sitting on a margin two standard deviations above the predicted swing to Labor, it has a 4 per cent chance of being won by Labor.

The results of my test of this concept follow. While Antony’s and my online calculators suggested 87 seats, the probability model suggested 88 seats. (There were also some minor differences between the probability model below, which is accurate to one decimal place, and the online calculators that round to two decimal places. In the binary cut-off model below, I have scored a seat as 0.5 if the swing equaled the margin).

Seat Swing / Margin (%) Labor seats won
Probability Method
Labor seats won
Simple cut-off method
New South Wales 6.7
PARRAMATTA 0.9 0.99 1.0
WENTWORTH 2.5 0.97 1.0
LINDSAY 2.9 0.95 1.0
EDEN-MONARO 3.3 0.93 1.0
BENNELONG 4.2 0.86 1.0
DOBELL 4.8 0.80 1.0
PAGE 5.5 0.70 1.0
PATERSON 6.3 0.57 1.0
COWPER 6.7 0.50 0.5
ROBERTSON 6.9 0.47 0.0
HUGHES 8.5 0.22 0.0
GILMORE 9.4 0.12 0.0
NORTH SYDNEY 10.0 0.08 0.0
MACARTHUR 11.1 0.03 0.0
WARRINGAH 11.3 0.02 0.0
CALARE 11.4 0.02 0.0
GREENWAY 11.4 0.02 0.0
HUME 12.8 0.00 0.0
       
Northern Territory 6.7
SOLOMON 2.8 0.96 1.0
       
Queensland 6.7
BONNER 0.5 1.00 1.0
MORETON 2.8 0.96 1.0
BLAIR 5.7 0.67 1.0
HERBERT 6.2 0.59 1.0
LONGMAN 6.7 0.50 0.5
PETRIE 7.4 0.38 0.0
FLYNN 7.7 0.33 0.0
HINKLER 8.3 0.24 0.0
BOWMAN 8.9 0.17 0.0
DICKSON 8.9 0.17 0.0
KENNEDY 8.9 0.17 0.0
DAWSON 10.0 0.08 0.0
LEICHHARDT 10.3 0.06 0.0
RYAN 10.4 0.05 0.0
FISHER 11.0 0.03 0.0
FORDE 11.5 0.02 0.0
WIDE BAY 12.2 0.01 0.0
FAIRFAX 12.4 0.01 0.0
       
South Australia 6.7
KINGSTON 0.1 1.00 1.0
WAKEFIELD 0.7 1.00 1.0
MAKIN 0.9 0.99 1.0
BOOTHBY 5.4 0.71 1.0
STURT 6.8 0.48 0.0
MAYO 13.6 0.00 0.0
       
Tasmania 6.7
BRADDON 1.1 0.99 1.0
BASS 2.6 0.96 1.0
       
Victoria 6.7
DEAKIN 5.0 0.77 1.0
McMILLAN 5.0 0.77 1.0
CORANGAMITE 5.3 0.73 1.0
LA TROBE 5.8 0.65 1.0
McEWEN 6.4 0.55 1.0
GIPPSLAND 7.7 0.33 0.0
HIGGINS 8.8 0.18 0.0
DUNKLEY 9.4 0.12 0.0
KOOYONG 9.8 0.09 0.0
GOLDSTEIN 10.0 0.08 0.0
MENZIES 10.7 0.04 0.0
FLINDERS 11.1 0.03 0.0
CASEY 11.4 0.02 0.0
WANNON 12.4 0.01 0.0
       
Western Australia 6.7
HASLUCK 1.8 0.98 1.0
STIRLING 2.0 0.98 1.0
KALGOORLIE 6.3 0.57 1.0
CANNING 9.5 0.11 0.0
FORREST 10.5 0.05 0.0
MOORE 10.8 0.04 0.0
TANGNEY 11.8 0.01 0.0
       
NATIONAL TOTAL
Labor’s base of seats   60.0 60.0
Gains on that base   27.9 28.0
Labor’s likely outcome 87.9 88.0

But this leaves me with a dilemma. How do I compare election predictions from those commentators who have provided a prediction in terms of a TPP percentage, and those who have made a prediction on the basis of seat counts. My resolution is to covert the TPP predictions to a simple cut-off prediction from Antony’s calculator, and the probability prediction from my spreadsheet. The results follow.

Commentator Actual Prediction Approx. seats using
probability method
Approx. seats using
cut-off method
William Bowe (Poll Bludger) 84 seats ALP
Simon Jackman 54% ALP (+/-2%) 88 seats ALP 87 seats ALP
Malcolm Mackerras 89 seats ALP
Peter Brent (Mumble) 90 seats ALP
Possums Pollytics 54.9% ALP 94 seats ALP 94 seats ALP
Geoff Lambert 55.5% ALP / 97 Seats ALP    

As an aside, an advantage of a probability based model like the one above is that it allows for a direct comparison of seat win probabilities with the betting market. This allows for a better identification of under-priced and over-priced odds. In this context, having a view on the state based swings is also useful to model.

Next election, I wiill work on a probability based seat calculator, rather than the simple binary cut-off model I did for this election.

Update: Antony Green sent me the following email.

Just to let you know, my prototype calculator that was based on probability calculations produced 88 seats, not the 87 produced by the web version on the ABC site. That matches your table of calculations.

I get a +/- 5 seats on this prediction. The reason we didn’t do the probabilities on the web calculator was because of the extra calculation load imposed by the probability calculation, plus the fact that the +/- error was roughly the same whatever result came out of the calculator. And the only difference in Labor seats won tended to come out at 1 or 2 seats.

And Will From Kooyong sent me this.

I read your blog this morning, and it’s quite funny how yesterday I had decided to create a Monte Carlo simulator to predict seats that the likelihood of a win for the ALP. I used a std of of 3.05 (based on last election’s swings), and I tried your std of 2.3. The results I got were very close including the probability of seats changing hands.

Here is a post I put on Poll Bludger late last night when I ran it for a 54% TPP for the ALP, 3.05 for the std and 100,000 simulations. (I ran it for a 1m and it was very much the same).

http://www.pollbludger.com/?p=729&cp=3#comment-88637

Day 35 report

Bryan · Monday 19 November 2007 · 6:36 am

Yesterday, the Coalition announced its tough on drugs policy.

Labor announced support for the world game, its commitment to lift school standards, and its plan to reduce violence against women and children.

Morgan: Morgan released a phone poll of 1670 voters on 15-17 November. The sample was weighted to marginal seats, with 1,025 electors in 22 key L-NP marginal seats. (I gather the other 128 seats were estimated with a sample of 645 voters) . The headline prediction was Labor on 55.5 per cent of the two-party preferred vote. The Coalition got 44.5 per cent. As can be seen from the next graph, this series has been pretty much a flat line during the election period. Note that I graphed how voters said they would vote, rather than the TPP figure based on preference flows in 2004, to maintain consistency with earlier Morgan phone polls.

Opinion polls: Coalition two-party preferred vote

I do not have enough data to confirm a house bias with the Morgan phone poll; nonetheless, it appears to track to the left of ACNielsen and Newspoll (see next graph). House bias effects should be taken into account when using a poll series to estimate the final national TPP outcome.

Opinion polls: Coalition two-party preferred vote moving average

Other polls: In today’s SMH and Age, we have an ACNielsen poll for the seat of Wentworth. The headline result was 52-48 in Labor’s favour.

The SMH reported a Patterson poll of Eden-Monaro, which had Labor ahead 53 to 47 per cent.

Mumble has the latest demographic breakdown from ACNielsen.