Income and Preferences for Centralization of Authority

Post developed by Catherine Allen-West in coordination with Diogo Ferrari

DiogoFerrari

Diogo Ferrari, PhD Candidate, University of Michigan, Ann Arbor

ICYMI (In Case You Missed It), the following work was presented at the 2016 Annual Meeting of the American Political Science Association (APSA).  The presentation, titled “The Indirect Effect of Income on Preferences for Centralization of Authority,” was a part of the session “Devolution, Fragmented Power, and Electoral Accountability” on Thursday September 1, 2016.

One of the primary activities of any elected government is to decide how to allocate public funds for policies like health care and education. In countries that adopted a federal system – like the United States, Canada, Australia, Germany, and others – the central government usually has some policies that promotes distribution of fiscal resources among different jurisdictions, like among states or cities. Take Australia for example. The federal government collects taxes that are funneled to local governments  in accordance with their needs. This diminishes the inequality between different Australian sub-national governments in their capacity to invest and provide public services. Brazil is another example. Brazil has a huge federal program that transfers resources from rich to poor states and whose goal is to reduce regional inequality. These federal governments can only continue to operate in this way, that is, promoting interregional redistribution, if the power to control fiscal resources is centralized.  Therefore, there is a connection between interregional redistribution and centralization of authority.

Now, voters have different preferences about how the government should spend the fiscal resources. They have different opinions, for instance, to which degree taxes collected in one region should be invested in another region. Do voters that support interregional redistribution also prefer that the fiscal authority is concentrated in the hands of the federal government as opposed to the sub-national ones? Which characteristics determine the preference of voters regarding interregional redistribution and centralization of authority? How those preferences are connected?

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Election Frauds, Postelection Legal Challenges and Geography in Mexico

Post developed by Yioryos Nardis in coordination with Walter Mebane.

ICYMI (In Case You Missed It), the following work was presented at the 2015 Annual Meeting of the American Political Science Association (APSA).  The presentation, titled “Election Frauds, Postelection Legal Challenges and Geography in Mexico,” was a part of the session “Detecting and Concealing Patterns in Data” on Saturday September 5th, 2015.

Political Science and Statistics Professor and Center for Political Studies faculty member Walter Mebane previously examined electoral fraud in Russia. Professor Mebane, in collaboration with Research Assistant Jonathan Wall, now turns his focus to Mexico and the Presidential elections of 2006 and 2012.

This new research by Mebane and Wall investigates if the numbers of casillas (i.e. ballot boxes) and votes challenged and nullified in Mexico reflect political strategies or genuine election irregularities. In the 2006 elections in Mexico, nullification petitions by runners up were filed against 21% of ballot boxes (27,109/130,788), even though only .56% of votes (237,736/41,791,322) were actually nullified. Similarly, in the 2012 elections, 22% of ballot boxes (32,151/143,132) were challenged and .38% of votes nullified (184,725/49,087,466).

Mebane and Wall examine how the types of nullification claims relate to ballot-box level measures of election fraud and whether the reasons cited for the challenges are uniform across the two elections and/or geography. That is, are complaints geographically clustered or does a complaint depend on geographically clustered frauds?

Ballot-box level measures of election fraud are estimated using casilla vote count data. Hotspot analysis is used to show how nullification petition challenges to casillas are distributed across geography. This technique identifies which locations have local means that are higher than the overall average values and which have local means that are lower than the overall average. A redder color indicates a cluster of locations with higher than average values, and a bluer color indicates a cluster of locations with lower than average values. Grey indicates a cluster of locations that does not differ significantly from the overall mean.

Figure 1 represents nullification complaints of type corresponding to willful misconduct or error in the vote count in the two Presidential elections, and Figure 2 represents incremental fraud probabilities for nullification complaints. Comparing Figure 2 to Figure 1 indicates that the pattern of geographic clustering for the incremental fraud probabilities does not correspond well with the pattern for nullification complaints.

Figure 1: Nullification complaints of type corresponding to willful misconduct or error in the vote count, Mexico, 2006 and 2012 Presidential election Casillas.
Seccion (precint) geographic cluster hotspots

Figure 1aFigure 1b

Figure 2: Incremental fraud, Mexico, 2006 and 2012 Presidential election casillas.
Seccion (precint) geographic cluster hotspots

Figure 2aFigure 2b

In 2006 there are more widespread regions with clusters of casillas having above average frequencies of complaints than there are regions in which there are clusters of casillas with above average incremental fraud probability values. Some of the above average type clusters overlap with above average incremental fraud clusters, but more than half do not. In 2012 on the other hand, we observe the opposite. Clusters of casillas with above average incremental fraud probabilities are much more prevalent than are clusters of casillas with above average frequencies of complaints.

Such patterns indicate that it is unlikely that the relationship between incremental fraud probabilities and the incidence of complaints are positively related. This therefore suggests that the occurrence of nullification petitions is related to the strategic and tactical incentives of political parties.

To read the full paper please visit: https://drive.google.com/open?id=0By8J0EDg6IC3MDgxOWlUVGdfakE

How accurate is marketing data?

Post developed by Katie Brown and Josh Pasek.

Photo credit: ThinkStock

Photo credit: ThinkStock

Have you noticed how the products you look at online seem to follow you from site to site and the coupons you receive in the mail sometimes seem a little too targeted? This happens because a set of companies are gathering information about Americans and merging them together into vast marketing databases. In addition to creating awkwardly personal advertisements, these data might be useful for researchers who want to know about the kinds of people who are and are not responding to public opinion surveys.

But before marketing data are incorporated into social science analyses, it is important to know how accurate the information actually is. Indeed, there are many concerns about consumer data. It could be out of date, incomplete, linked to the wrong person, or simply false for a variety of reasons. If we don’t know when marketing data are accurate, it is going to be difficult to figure out how these data can be used.

This is where the work of Josh Pasek, Center for Political Studies (CPS) Faculty Associate and Assistant Professor of Communication, comes in. Pasek, along with S. Mo Jang, Curtiss L. Cobb, J. Michael Dennis, and Charles DiSogra, have a forthcoming paper in Public Opinion Quarterly about the utility of marketing data. With Gfk Custom Research, 25,000 random addresses were selected, with about 10% of those joining the study. The marketing data available on these individuals was then matched against data collected as part of the study.

Interestingly, many variables showed large discrepancies between the two sources. Incomes mismatched by more than $10,000 for 43% of participants, while education level differed in at least two measures for 25%. Even the number of people living at the address differed by two or more in 35% of cases. Pasek and colleagues also investigate missing data with three different analyses. Ultimately, they find that the amount of data missing from consumer data is vast.

But at the same time, the consumer data performed better than chance in predicting actual data for all variables. This may make them useful for marketing purposes, but Pasek cautions that social scientific applications could be problematic. As Pasek says, “The bottom line is that these data are not consistently accurate. Although they may be great for targeting people who are more likely to buy a particular brand of shoes, our results suggest that marketing databases don’t have the precision for many research purposes.”

Significant moments throughout the history of ANES

Post developed by Katie Brown in coordination with Darrell Donakowski.

ANES65th

This is the last in a series of posts celebrating the 65th anniversary of the American National Election Studies (ANES). The posts have sought to highlight some of the many ways in which the ANES has benefited scholarship, the public, and the advancement of science.

 

As part of the 65th anniversary of the American National Election Studies (ANES), the ANES team created an interactive timeline. The timeline charts the history of the project with annotated notable dates and historic photographs. Here, we highlight three of the many entries.
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1948 – The Very Beginning

The timeline begins with the inception of ANES. In 1948, social psychologists Angus Campbell and Robert Kahn and the University of Michigan’s Survey Research Center (SRC) surveyed the national electorate. The 1948 survey served as a pilot study for, and many consider to be the first implementation of, the ANES.

1964 – The Feeling Thermometer

The 1964 wave of the study pioneered the feeling thermometer. This unique question format asks respondents to gauge their feelings on a scale from “cold” to “warm”. Feeling thermometers have since been included in all ANES waves, with their use spreading globally and to all academic fields

1996 – Comparative Study of Electoral Systems

The independent Comparative Study of Electoral Systems (CSES) project coordinates the inclusion of common sets of questions in post-election surveys around the world.  ANES first incorporated CSES questions in its 1996 wave, moving from national barometer to global participant in the process.

Please consider further exploring the interactive timeline to be reminded of some of the many significant moments throughout the history of this important scientific resource.  And if you have ideas for additions to the ANES timeline, the study team would welcome your suggestions by email to: [email protected]

 

Visiting Scholar Profile: Khalil Shikaki

Post developed by Katie Brown.

Growing up in Palestine during a period of political tension, Khalil Shikaki became fascinated with politics. After completing a BA in Political Science at the American University of Beirut, Shikaki pursued these questions with a PhD in Political Science from Columbia University. Two core questions drive his research: What direction is Palestinian society taking? How do Palestinians view the relationship with Israel?

After finishing in 1985, he began teaching at An-Najah National University in the Northern part of the West Bank. Shikaki designed and taught his first course (the same course he is teaching here this semester): Palestinian Politics & Society. At that time, he realized there were no data to support and test theories. Even politicians relied on word of mouth to gauge public opinion.

So Shikaki set out to collect this data with Palestine’s first survey. But he faced a major roadblock. At the time, Palestine was under Israel occupation, and the Israeli military forbid the proposed survey. After the Madrid Peace Conference in 1991, things started to calm, which created an opening for data collection. In 1992, Shikaki started training survey administers and opened the Palestinian Center for Policy and Survey Research (PCPSR) in Nablus (PCPSR moved to Ramallah in 2000). And the first survey ran in 1993. Results of the survey, which explored public attitudes toward the Oslo agreement, were published in the same day the agreement was officially signed in Washington DC.

If the first challenge to data collection was Israeli occupation, the second was building trust with Palestinians. In particular, Shikaki and his team had to convince citizens that they could trust the interviewers enough to speak their mind. The initial response rate to a pilot study came in at just 50%. The team underwent additional training over the course of a year to project and inspire confidence and did not enter the field officially until this dropped to 10%. Once out in the field they found the opposite of their initial fear: if anything, people wanted to talk too much.

The surveys rolled out in both the West Bank and Gaza. When Hamas took over Gaza in 2007, the researchers faced some new issues as Hamas now wanted to control the data. But the survey continued. And while some field workers have faced arrest, they are usually released the same day.

Data collection also becomes difficult when battles rage with Israel. This past summer, the survey stopped in areas under bomb and rocket attack. But the day before the ceasefire, interviewers tackled the embattled regions. Aside from timing, the researchers also had to adjust for areas now decimated by war, citizens displaced. This allowed for timely and valuable data on opinions about how the latest fighting impacted Palestinian views.

With more than 20 years experience investigating his driving questions — What direction is Palestinian society taking? How do Palestinians feel about the relationship with Israel? – Shikaki sees a few trends. Over the first ten years, the Palestinian public was moving in a politically moderate direction with greater support for diplomacy and compromise with Israel. The most recent decade, though, has witnessed greater support for Islamists and violence with Israel. The fate embodied in these questions are linked. Shikaki remains hopeful, as a change in either would enact change in the other.

We are extremely pleased to have Khalil Shikaki in residence at the Center for Political Studies (CPS). During his time at CPS, he has also been continuing his collaborations with the Arab Barometer, the Aggression Research Program, and Scott Atran.

Measuring Political Polarization

Post developed by Katie Brown and Shanto Iyengar.

The inaugural Michigan Political Communication Workshop welcomed renowned political science and communication scholar Shanto Iyengar from Stanford University. Iyengar presented a talk entitled “Fear and Loathing across Party Lines.”

Iyengar began by considering the current polarized state of American politics. Both parties moving toward ideological poles has resulted in policy gridlock (see: government shutdown, debt ceiling negotiations). But does this polarization extend to the public in general? To answer this question, Iyengar measured individual resentment with both explicit and implicit measures.

Iyengar1

2008 ANES: Party vs Other Divisions

 

For an explicit measure, Iyengar turned to survey evidence. The American National Election Studies (ANES) indeed illustrates a significant decline in ratings of the other party based on feeling thermometer questions. Likewise, social distance between parties has increased over time, as measured by stereotypes of party supporters and marriage across party lines. In fact, this out-group animosity marks a deeper divide than other considerations, even race (see graph below).

But these surveys gauge animosity at the conscious level. Iyengar also believes mental operations concerning out-party evaluations occur outside of conscious awareness. So, along with Sean J. Westwood, Iyengar pioneered implicit measures of out-party animosity. Specifically, Iyengar and Westwood adapted the Implicit Association Test— originally used to capture racism – to political parties. Interestingly, the IAT also captured this animosity, although the polarization was more pronounced with the explicit survey measures. The chart on the left shows the starker divide between Democrats and Republicans using the feeling thermometer; the chart on the right shows the difference with the IAT.

Iyengar2

Comparing Implicit with Explicit Affect

Iyengar also adapted classic economic games to test implicit out-party animosity. Both games allow the participant to share a proportion of money provided by the researchers. Interestingly, participants gave less to out-party opponents. Iyengar cites this as evidence of implicit out-party bias.

Iyengar3

Economic Game Results by Party

Together, these results suggest marked party polarization. The hostility is so strong that politicians running on a bipartisan platform are likely to be out of step with public opinion.