RDP 2019-12: Confidence in Australian Banknotes 4. Results: The Determinants of Confidence in Australian Banknotes

In what follows, we focus on six dependent variables, which are:

  1. the belief that one will receive a counterfeit next year;
  2. the belief that there is a counterfeiting problem;
  3. confidence in the system for removing counterfeits from circulation;
  4. the belief that one will receive a counterfeit next year, conditional on having received a counterfeit in the past year;
  5. the belief that one will receive a counterfeit next year, conditional on not having received a counterfeit in the past year; and
  6. the probability of having received a counterfeit in the past 12 months.

While we estimate a single model for each of the above dependent variables, for clarity we break up the presentation of results and separately discuss the effects of demographics, past experience with counterfeits, past experience with banknotes and awareness of banknotes on the dependent variables.

4.1 Demographics

4.1.1 Sex

Table 3 contains our results as they pertain to demographics. There are a number of interesting differences between male and female respondents. Female respondents express a 4 percentage point higher perceived likelihood of being victims of counterfeiting in the future (Regression (1)), and are 7 percentage points more likely to believe that there is a counterfeiting problem in Australia (Regression (2)). This is consistent with other studies on the fear of crime which report higher perceived risk of victimisation among women (May, Rader and Goodrum 2010; Rader and Cossman 2011; Tomsich, Gover and Jennings 2011; Snedker 2012). However, confidence in the system does not vary significantly by sex (Regression (3)). Thus, it appears that women may be more pessimistic when assessing crime risk, but they do not necessarily put less trust in public institutions to remove counterfeits from circulation.

Table 3: Average Marginal Effects of Demographic Variables
  Probability
Receive counterfeit in next year There is a counterfeiting problem Confident in the system Receive counterfeit in next year(a) Receive counterfeit in next year(b) Received counterfeit in past year
(1) (2) (3) (4) (5) (6)
Sex (control category = male)
Female 0.0367**
(0.0154)
0.0712***
(0.0143)
−0.0066
(0.0165)
−0.0151
(0.0465)
0.0405**
(0.0162)
−0.0287***
(0.0077)
Age (control category = 45 years and above)
16–24 years old 0.0050
(0.0262)
−0.0620***
(0.0235)
−0.1656***
(0.0303)
0.1472**
(0.0720)
−0.0126
(0.0278)
0.0368**
(0.0144)
25–44 years old 0.0509***
(0.0188)
−0.0142
(0.0175)
−0.0877***
(0.0203)
0.0375
(0.0675)
0.0544***
(0.0197)
0.0276***
(0.0094)
Income (control category = high income > $100k)
Low income
(≤ $40k)
0.0545**
(0.0228)
0.0455**
(0.0215)
−0.0415
(0.0252)
−0.1068
(0.0816)
0.0702***
(0.0240)
−0.0114
(0.0113)
Middle income
($40k–$100k)
0.0165
(0.0178)
0.0160
(0.0168)
−0.0180
(0.0195)
−0.0910
(0.0560)
0.0283
(0.0188)
0.0010
(0.0093)
Control for other factors Y Y Y Y Y Y
Demographic and year dummies Y Y Y Y Y Y
Observations 4,153 4,153 3,458 327 3,814 4,138

Notes: ***, ** and * denote statistical significance at the 1, 5 and 10 per cent level, respectively; standard errors are in parentheses
(a) Restricted to respondents from all years who have received counterfeits in the past 12 months
(b) Restricted to respondents from all years who have not received counterfeits in the past 12months

Sources: Authors' calculations; RBA, online banknote surveys

Interestingly, the females in our data are, on average, 3 percentage points less likely to have received a counterfeit in the past year compared with otherwise equivalent men (Regression (6)). By splitting the data by personal experience with counterfeits, we see that female non-victims are significantly more pessimistic than equivalent male non-victims (Regression (5)), while there is no significant disparity among counterfeit victims (Regression (4)). This disproportional perception of victimisation relative to actual likelihood of victimisation among women is well documented in the criminology literature (Scarborough et al 2010; Cops and Pleysier 2011), where the fear of crime despite not being a victim is commonly termed the ‘fear-victimisation paradox’ (Franklin, Franklin and Fearn 2008; Russo and Roccato 2010; Cops and Pleysier 2011; Alper and Chappell 2012).

4.1.2 Age

Empirical research that links age and the perceived risk of crime is inconclusive. Some studies show that the elderly have higher fears of crime (Sjöberg 2004; Cops, Pleysier and Put 2012), while others find either mixed or negative correlation between age and risk perception (Savage 1993; Andersson and Lundborg 2007). Our regression results suggest that compared with respondents 45 years or older, younger respondents aged between 25 and 44 years old are 5 percentage points likelier to believe that they will receive a counterfeit in the next year, and 9 percentage points less likely to have confidence in the system to remove counterfeits (Regressions (1) and (3)). The youngest group of respondents are 17 percentage points less likely to have confidence in the system. They also perceive themselves as much more susceptible to risk if they have been a victim of counterfeits in the past (15 percentage points higher than the eldest group; Regression (4)). Overall, older adults appear to be more trusting in the security of banknotes and in the system for removing counterfeits from circulation.

4.1.3 Income

Next, we explore how confidence varies with annual income. According to the fear of crime literature, reduced financial resources and capacity to manage crime risks leads to heightened feelings of insecurity (Kanan and Pruitt 2002; Jones, Abbott and Quilgars 2006; Kemshall 2006; Scarborough et al 2010). Since unknowingly accepting a counterfeit banknote can impose direct financial consequences on the crime victim, we would expect those on lower incomes to see a higher perceived counterfeit risk, all else equal. This is borne out in our results, as we find low income earners to have a higher perceived risk of receiving a counterfeit (5 percentage points), and a higher likelihood of believing that there is a general counterfeit problem (5 percentage points), although there is no statistically significant difference across income groups with regards to confidence in the system.

Across age and income groups, we do not find evidence for the ‘fear-victimisation paradox’: young adults are both more likely to perceive a counterfeiting problem and more likely to have received counterfeits, while there is no statistically significant variation in victimisation levels by income (Regression (6)). With the partial exceptions of Queensland and the Australian Capital Territory (ACT), there was no statistically significant variation in victimisation or confidence, by state of residence.[2]

4.2 Experience with Counterfeits

A common and unsurprising finding in the criminology literature is that people who have been the victim of a crime tend to feel more vulnerable, and tend to suffer psychological and emotional harm (Reiss and Roth 1994). This leads to higher levels of fear of crime among victims than non-victims (Reid, Roberts and Hilliard 1998; Jackson and Gray 2010; Russo and Roccato 2010; Orchowski, Untied and Gidycz 2012). Our results accord with this finding, as displayed in Table 4. On average, reporting having received a counterfeit in the past is associated with a 23 percentage point increase in the perceived likelihood of receiving another counterfeit in the next year (Regression (1)), and a 19 percentage point increase in the belief that there is a counterfeit problem (Regression (2)), although there is no statistically significant impact on overall confidence in the system (Regression (3)).[3]

Table 4: Average Marginal Effects of Experiences with Counterfeits
  Probability
Receive counterfeit in next year There is a counterfeiting problem Confident in the system Receive counterfeit in next year(a) Receive counterfeit in next year(b) Received counterfeit in past year
(1) (2) (3) (4) (5) (6)
Experiences with counterfeits (control category = ‘Have never received a counterfeit’)
Have received a counterfeit 0.2319***
(0.0291)
0.1878***
(0.0256)
−0.0439
(0.0302)
     
Control for other factors Y Y Y      
Demographic and year dummies Y Y Y      
Observations 4,153 4,153 3,458      

Notes: ***, ** and * denote statistical significance at the 1, 5 and 10 per cent level, respectively; standard errors are in parentheses
(a) Restricted to respondents from all years who have received counterfeits in the past 12 months
(b) Restricted to respondents from all years who have not received counterfeits in the past 12months

Sources: Authors' calculations; RBA, online banknote surveys

It has been noted that while recent direct victimisation can strongly increase an individual's fear of crime, the effect tends to weaken over time periods as short as three months (Russo and Roccato 2010). Our data also provide evidence for the diminishing effect of counterfeit victimisation over time. In the 2017 and 2019 surveys, participants were asked whether they had received a counterfeit within the past 12 months or more than 12 months ago (Table 5). We find that people who reported having received a counterfeit recently are around 16 percentage points more likely to think they will receive a counterfeit in the next year compared with those who received a counterfeit more than 12 months ago; for comparison, those who reported having received a counterfeit more than 12 months ago are 17 percentage points more likely to expect another in the next year compared with those who have never received a counterfeit before (Regression (1)). We observe a similar diminishing effect on general beliefs about the existence of a counterfeiting problem in Australia (Regression (2)), but no effect on overall confidence in the system (Regression (3)).

Table 5: Average Marginal Effects of Experiences with Counterfeits
Using 2017 and 2019 surveys only
  Probability
Receive counterfeit in next year There is a counterfeiting problem Confident in the system Receive counterfeit in next year(a) Receive counterfeit in next year(b) Received counterfeit in past year
(1) (2) (3) (4) (5) (6)
Experiences with counterfeits (control category = ‘Have never received a counterfeit’)
Had counterfeits in past 12 months 0.3364***
(0.0507)
0.3513***
(0.0502)
0.0007
(0.0489)
     
Had counterfeits > 12 months ago 0.1742***
(0.0489)
0.2075***
(0.0474)
−0.0600
(0.0483)
     
Control for other factors Y Y Y      
Demographic and year dummies Y Y Y      
Observations 1,919 1,919 1,633      

Notes: ***, ** and * denote statistical significance at the 1, 5 and 10 per cent level, respectively; standard errors are in parentheses
(a) Restricted to respondents from all years who have received counterfeits in the past 12 months
(b) Restricted to respondents from all years who have not received counterfeits in the past 12months

Sources: Authors' calculations; RBA, online banknote surveys

4.3 Problems Using Banknotes

Another important facet of banknotes is their quality, and one aim of the Bank is to ensure that banknotes in circulation are of sufficiently high quality to effectively function as a means of payment for the public: better-quality banknotes, which are not torn or overworn, are less likely to be rejected by cashiers or machines. The banknotes survey data allow us to test whether past problems using banknotes affect the public's confidence in banknotes or their perception of banknote security.

Table 6 shows that having serious past problems in handling banknotes increases the perceived likelihood of receiving a counterfeit by 17 percentage points, after controlling for all other factors including having received counterfeits in the past (Regression (1)).[4] Having problems in handling banknotes is also associated with a 13 percentage point increase in the belief that there is a counterfeit problem in Australia (Regression (2)), and a 13 percentage point reduction in confidence in the system (Regression (3)); results hold for both those who have, and have not, received a counterfeit in the past (Regressions (4) and (5)). These results are quite striking, and suggest that serious negative experiences in using banknotes – for example, having had banknotes rejected by machines or cashiers – have a detrimental effect on the perceived risk of counterfeiting on par with having actually received a counterfeit in the past, and have a larger effect on confidence in the system to remove counterfeits than having actually received a counterfeit.

Table 6: Average Marginal Effects of Experiences with Using Banknotes
  Probability
Receive counterfeit in next year There is a counterfeiting problem Confident in the system Receive counterfeit in next year(a) Receive counterfeit in next year(b) Received counterfeit in past year
(1) (2) (3) (4) (5) (6)
Experiences using banknotes (control category = ‘Have never had serious problems using banknotes’)
Had serious problems 0.1718***
(0.0222)
0.1327***
(0.0201)
−0.1320***
(0.0234)
0.1614***
(0.0549)
0.1671***
(0.0244)
0.0837***
(0.0082)
Control for other factors Y Y Y Y Y Y
Demographic and year dummies Y Y Y Y Y Y
Observations 4,153 4,153 3,458 327 3,814 4,138

Notes: ***, ** and * denote statistical significance at the 1, 5 and 10 per cent level, respectively; standard errors are in parentheses
(a) Restricted to respondents from all years who have received counterfeits in the past 12 months
(b) Restricted to respondents from all years who have not received counterfeits in the past 12months

Sources: Authors' calculations; RBA, online banknote surveys

One possible channel through which banknote quality might affect confidence is by raising the public's overall level of trust in the banknote issuer: one might argue that if the central bank is capable of producing high quality banknotes that do not cause problems in use, it will also be capable of controlling counterfeiting effectively. Trust in the relevant authority has also been shown in the literature to be a crucial determinant of risk perceptions (Jackson, Allum and Gaskell 2006). Our study provides some limited support for this hypothesis, with overall confidence in the system for removing counterfeits from circulation more negatively affected by problems with using new series banknotes versus old series banknotes (Table 7, Regressions (3) and (5)). One interpretation of these results would be that respondents revise their perceptions of the Bank's overall capabilities and ability to deal with counterfeits following a banknote upgrade, and down-weight their experiences of old series banknotes.

Table 7: Average Marginal Effects of Experiences with Using Banknotes
Using 2017 and 2019 surveys only
  Probability
Receive counterfeit in next year There is a counterfeiting problem Confident in the system Confident in the system(a) Confident in the system(b) Received counterfeit in past year
(1) (2) (3) (4) (5) (6)
Experiences using banknotes (control category = ‘Have never had serious problems with the respective series’)
Had problems with old series 0.1601***
(0.0389)
0.0966***
(0.0373)
−0.0490
(0.0386)
−0.0525
(0.0788)
−0.0448
(0.0465)
0.0904***
(0.0210)
Had problems with new series 0.1173***
(0.0343)
0.0312
(0.0325)
−0.0667**
(0.0349)
−0.0208
(0.0673)
−0.1001**
(0.0416)
0.0713***
(0.0178)
Control for other factors Y Y Y Y Y Y
Demographic and year dummies Y Y Y Y Y Y
Observations 1,919 1,919 1,633 260 1,373 1,851

Notes: ***, ** and * denote statistical significance at the 1, 5 and 10 per cent level, respectively; standard errors are in parentheses
(a) Restricted to respondents from all years who have received counterfeits in the past 12 months
(b) Restricted to respondents from all years who have not received counterfeits in the past 12months

Sources: Authors' calculations; RBA, online banknote surveys

4.4 Awareness of Banknotes

4.4.1 Awareness of banknote upgrade program

Knowing how knowledge of a banknote series upgrade affects confidence in banknotes may help central banks to plan their public awareness campaigns more effectively. For example, if public awareness of an upcoming upgrade program raises confidence, the central bank could look to publically announce the upgrade project at a relatively early stage. On the other hand, if individuals associate the introduction of a new banknote series with the existence of a current counterfeiting problem (whether this is the case or not), the central bank may wish to delay any public announcement and devote resources to communicating the true state of counterfeiting.

The responses to the survey question ‘Have you heard of the Reserve Bank of Australia's plans to upgrade Australia's banknotes?’ allow us to test which hypothesis is correct. Table 8 shows that having heard of the banknote upgrade is correlated with a 4 percentage point increase in the belief that there is a counterfeiting problem in Australia (Regression (2)), although there is no statistically significant evidence that awareness affects the other two measures of confidence in banknote security (Regressions (1) and (3)). Hence there is some evidence that knowledge of a banknote upgrade program serves to raise concerns about counterfeiting. (For reference, in 2012 and 2014 around 8 per cent of respondents confirmed their awareness of the banknote upgrade, while in 2017 and 2019 more than half of respondents confirmed that they had heard of the Bank's plans to issue new $10 and $20 banknotes.)

Table 8: Average Marginal Effects of Awareness
  Probability
Receive counterfeit in next year There is a counterfeiting problem Confident in the system Receive counterfeit in next year(a) Receive counterfeit in next year(b) Received counterfeit in past year
(1) (2) (3) (4) (5) (6)
Awareness of banknote upgrade (control category = didn't hear of New Generation Banknote Series (NGB))
Heard of NGB 0.0201
(0.0192)
0.0397**
(0.0178)
0.0060
(0.0203)
0.0694
(0.0629)
0.0201
(0.0201)
0.0542***
(0.0108)
Awareness of security features
No of security features known −0.0329***
(0.0091)
0.0087
(0.0085)
0.0543***
(0.0096)
−0.0028
(0.0329)
−0.0364***
(0.0095)
0.0149***
(0.0048)
No of security features known
(squared)
0.0033**
(0.0013)
0.0001
(0.0012)
−0.0044***
(0.0013)
−0.0027
(0.0039)
0.0042***
(0.0014)
−0.0010
(0.0007)
Control for other factors Y Y Y Y Y Y
Demographic and year dummies Y Y Y Y Y Y
Observations 4,153 4,153 3,458 327 3,814 4,138

Notes: ***, ** and * denote statistical significance at the 1, 5 and 10 per cent level, respectively; standard errors are in parentheses
(a) Restricted to respondents from all years who have received counterfeits in the past 12 months
(b) Restricted to respondents from all years who have not received counterfeits in the past 12months

Sources: Authors' calculations; RBA, online banknote surveys

4.4.2 Knowledge of security features

The effectiveness of banknote security features in deterring counterfeiting is based not just on the number and quality of security features that a banknote contains, but also on the public's familiarity with the security features – if a person does not know a particular security feature then they are unlikely to be able to use it to authenticate a banknote (Masuda, Pedersen and Hardeberg 2015). Many institutions have conducted studies to determine the optimal number of security features that a person should know to recognise and authenticate banknotes (Williams and Anderson 2007). For some central banks, the optimal number of public security features determines how many security features are disclosed to the public. In Australia, ten security features for the new series banknotes (Next Generation Banknote Series) are listed on the Bank's public website, although in practice most members of the public are aware of less than this (Figure 2). Similarly, research on US and euro banknotes show that most members of the public are not aware of many security features (Williams and Anderson 2007; de Heij 2007).

Despite the importance of assessing public awareness of security features, Williams and Anderson (2007) remark that there are few studies conducted on this topic. This section aims to extend the literature from an Australian viewpoint, to understand whether low awareness of banknote security features is associated with low confidence in Australian banknotes and increases in the perceived counterfeit risk. We assess the public's familiarity with banknote security features quantitatively by counting the number of security features that participants claim to know, via the survey question ‘How can you tell a banknote is genuine?’ We would expect a positive relationship between the number of security features that an individual knows and their confidence in the security of Australian banknotes.

Figure 2: Distribution of Security Features Known
Figure 2: Distribution of Security Features Known

Sources: Authors' calculations; RBA, online banknote surveys

Regression (1) in the security features panel of Table 8 confirms that perceived counterfeit risk is reduced with each additional security feature known, although the effect diminishes slightly as individuals become aware of more and more additional features (that is, the coefficient on the number of features known is negative, while the coefficient on the square of that quantity is positive in Regression (1)). Awareness of security features does not have a statistically significant effect on overall belief about the existence or otherwise of a counterfeiting problem in Australia (Regression (2)), while knowing more security features increases confidence in the system at a diminishing rate (Regression (3)).

4.5 External Factor: The Media

Another important question to ask is whether an individual's subjective belief about counterfeit risk is influenced by external factors, such as the media. Pfeiffer, Windzio and Kleimann (2005) use German survey data to show that more television broadcasts of crime are associated with the belief that crime is rising (in contrast to the actual declining trend of police recorded crime). A study by Chan and Chan (2012) of Hong Kong media indicates that sensational newspaper stories tend to influence the public's perception of crime negatively. Other research on fear of crime has also shown that seeing the victimisation of others in one's social network or through television media may have a greater effect on the level of fear than being a victim oneself (Romer, Jamieson and Aday 2003; Wilcox, Jordan and Pritchard 2007; Chadee and Ng Ying 2013).

In this section we study how the frequency and intensity with which the media reports on banknote counterfeits affects the public's perception of counterfeit risk. We conjecture that, as the public are exposed to more media reports on counterfeit incidents, they are more likely to suspect the authenticity of their banknote holdings. Thus, they will tend to submit more genuine banknotes to authorities as suspected counterfeits. To test for this hypothesis, we employ a fixed-effects panel regression of the monthly number of genuine banknotes submitted to authorities, broken down to the state level. We control for the actual number of counterfeits detected, the quality of banknotes in circulation, time effects, state fixed effects, and other time-varying state variables such as population, employment rates, inflation, hourly wages and criminal proceedings. For both actual counterfeits and genuine banknotes submitted in error as counterfeits, we date the submission as the earlier of: the date the counterfeit was detected; the date the counterfeit was submitted to authorities; and the date the counterfeit was processed by the Bank (these events should occur in the order listed, but in some cases our data are incomplete and so one or more of these dates are unknown).

Before presenting the empirical results, we look at how the total number of media reports on counterfeiting, the number of unique counterfeiting incidents reported in the media, and the number of genuine banknotes incorrectly submitted as counterfeits vary over time at the national level (Figure 3). The number of genuine banknotes submitted in error appears related to the number of unique counterfeiting incidents reported by the media, although with some lag. On the other hand, there appears to be less of a relationship between genuine banknotes being submitted and the total number of media reports.

Figure 3: Media Coverage and Genuine Banknotes Submitted in Error
National level, three-month moving average
Figure 3: Media Coverage and Genuine Banknotes Submitted in Error

Sources: Authors' calculations; RBA

Table 9 presents the regression results of the number of genuine banknotes submitted in error on various measures of media reporting and with various other control variables included or excluded. All regressions paint a similar picture: a higher number of unique counterfeiting incidents being reported by the media increases the tendency to mistakenly submit genuine banknotes as counterfeits, although the effect does not take place immediately but with a roughly one month lag.

One extra unique counterfeiting incident reported by the media is associated with three extra genuine banknotes submitted the following month. Conversely, for a given number of unique counterfeiting incidents, the marginal effect of more media reports on the same set of incidents is negative. That is, as the same incidents are reported more times in the media, the effect of media coverage falls.

Table 9: Marginal Effects of Media Reports on the Number of Genuine Banknotes Submitted in Error
  Model
Random effect Fixed effect Fixed effect and time effect
Total number of media reports −0.241***
(0.090)
−0.169**
(0.082)
−0.180**
(0.076)
One-month lagged reports −0.422***
(0.159)
−0.323**
(0.143)
−0.375**
(0.150)
Number of unique incidents 1.017
(0.696)
0.477
(0.686)
0.481
(0.696)
One-month lagged reported incidents 3.203**
(1.437)
2.572*
(1.336)
2.811**
(1.360)
Log of detected counterfeits 0.149
(0.450)
3.371***
(0.794)
3.047***
(0.798)
Quality of banknotes −10.360***
(1.590)
−5.588***
(1.644)
−5.658***
(1.691)
Time-varying state controls Y Y Y
State fixed effects N Y Y
Time fixed effects N N Y
Observations 580 580 580

Notes: ***, ** and * denote statistical significance at the 1, 5 and 10 per cent level, respectively; standard errors are in parentheses

Sources: Authors' calculations; Insentia; RBA, online banknote surveys

Footnotes

Respondents from Queensland and the ACT were slightly less likely to have reported receiving a counterfeit in the past, while those from the ACT were more likely to express confidence in banknote security. [2]

Note that a heightened feeling of vulnerability amongst victims relative to non-victims does not contradict our earlier discussion on the fear-victimisation paradox: the first relates to victims of crime perceiving the likelihood of being a victim again as high, relative to non-victims; the second concerns non-victims only, and states that one particular group (females in our case) has a higher perceived likelihood of being a future victim despite having a lower actual likelihood. [3]

The problems being asked in the surveys include banknotes sticking together, being slippery and easy to drop, not being accepted into machines, tearing easily, and difficulty distinguishing between denominations. [4]