Signalling (economics)

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In contract theory, signalling (or signaling: see American and British English differences) is the idea that one party (termed the agent) credibly conveys some information about itself to another party (the principal). For example, in Michael Spence's job-market signalling model, (potential) employees send a signal about their ability level to the employer by acquiring certain education credentials. The informational value of the credential comes from the fact that the employer assumes it is positively correlated with having greater ability.[citation needed]

Introductory questions[edit]

Signalling took root in the idea of asymmetric information (a deviation from perfect information), which says that in some economic transactions, inequalities in access to information upset the normal market for the exchange of goods and services. In his seminal 1973 article,[1] Michael Spence proposed that two parties could get around the problem of asymmetric information by having one party send a signal that would reveal some piece of relevant information to the other party. That party would then interpret the signal and adjust her purchasing behaviour accordingly — usually by offering a higher price than if she had not received the signal. There are, of course, many problems that these parties would immediately run into.

  • How much time, energy, or money should the sender (agent) spend on sending the signal?
  • How can the receiver (the principal, who is usually the buyer in the transaction) trust the signal to be an honest declaration of information?
  • Assuming there is a signalling equilibrium under which the sender signals honestly and the receiver trusts that information, under what circumstances will that equilibrium break down?

Job-market signalling[edit]

In the job market, potential employees seek to sell their services to employers for some wage, or price. Generally, employers are willing to pay higher wages to employ better workers. While the individual may know his or her own level of ability, the hiring firm is not (usually) able to observe such an intangible trait — thus there is an asymmetry of information between the two parties. Education credentials can be used as a signal to the firm, indicating a certain level of ability that the individual may possess; thereby narrowing the informational gap. This is beneficial to both parties as long as the signal indicates a desirable attribute — a signal such as a criminal record may not be so desirable.

Spence 1973 "Job Market Signaling" paper[edit]

Assumptions and groundwork[edit]

Michael Spence considers hiring as investment under uncertainty,[1] analogous to buying a lottery ticket. Of the observable attributes on an applicant, the observable attributes are called indices, while the signal refers to attributes that are manipulable by the applicant.[clarification needed] Applicant age is thus an index, since it does not change at the discretion of the applicant. On the basis of previous experience of the market the employer is supposed to have conditional probability assessments over productive capacity given a certain combination of indices and signals.[clarification needed] The employer updates his beliefs regarding his upon observing the employee characteristics.[clarification needed]

The paper is concerned with a risk-neutral employer. The offered wage is the expected marginal product. Signals may be acquired by sustaining signaling costs (monetary and not). If everyone invest in the signal in the exactly the same way, then the signal can't used as discriminatory, therefore a critical assumption is made: the costs of signaling are negatively correlated with productivity. This situation as described is a feedback loop: the employer updates his beliefs upon new market information and updates the wage schedule, applicants react by signaling and recruitment takes place.

Michael Spence studies the signaling equilibrium that may result from such a situation, he began his 1973 model with an hypothetical example:[1] suppose that there are two types of employees — good and bad — and that employers are willing to pay a higher wage to the good type than the bad type. Spence assumes that for employers, there's no real way to tell in advance which employees will be of the good or bad type. Bad employees aren't upset about this, because they get a free ride from the hard work of the good employees. But good employees know that they deserve to be paid more for their higher productivity, so they desire to invest in the signal — in this case, some amount of education. But he does make one key assumption: good-type employees pay less for one unit of education than bad-type employees. The cost he refers to is not necessarily the cost of tuition and living expenses, sometimes called out of pocket expenses, as one could make the argument that higher ability persons tend to enroll in "better" (i.e. more expensive) institutions. Rather, the cost Spence is referring to is the opportunity cost. This is a combination of 'costs', monetary and otherwise, including psychological, time, effort and so on. Of key importance to the value of the signal is the differing cost structure between "good" and "bad" workers. The cost of obtaining identical credentials is strictly lower for the "good" employee than it is for the "bad" employee.

The differing cost structure need not preclude "bad" workers from obtaining the credential. All that is necessary for the signal to have value (informational or otherwise) is that the group with the signal is positively correlated with the previously unobservable group of "good" workers. In general, the degree to which a signal is thought to be correlated to unknown or unobservable attributes is directly related to its value.

The result[edit]

Spence discovered that even if education did not contribute anything to an employee's productivity, it could still have value to both the employer and employee. If the appropriate cost/benefit structure exists (or is created), "good" employees will buy more education in order to signal their higher productivity.

The increase in wages associated with obtaining a higher credential is sometimes referred to as the Sheepskin Effect, since "sheepskin" informally denotes a diploma. It is important to note that this is not the same as the returns from an additional year of education. The "sheepskin" effect is actually the wage increase above what would normally be attributed to the extra year of education. This can be observed empirically in the wage differences between 'drop-outs' vs. 'completers' with an equal number of years of education. It is also important that one does not equate the fact that higher wages are paid to more educated individuals entirely to signalling or the 'sheepskin' effects. In reality education serves many different purposes to individuals and society as a whole. Only when all of these aspects, as well as all the many factors affecting wages, are controlled for, does the effect of the "sheepskin" approach its true value. Empirical studies of signalling indicate it as a statistically significant determinant of wages, however it is one of a host of other attributes — age, sex, and geography are examples of other important factors.

One of the consequences of the existence of a pure signalling value to education is that public funding of education, especially higher education, is questioned. The debate is not so much about whether there should be any public funding at all; but what the correct level of funding should be. In purely economic terms, the optimal level of public funding would equal the total public benefits from the educated population — the private value of the signal would be excluded.

The model[edit]

To illustrate his argument, Spence imagines, for simplicity, two productively distinct groups in a population facing one employer. The signal under consideration is education, measured by an index y and is subject to individual choice. Education costs are both monetary and pyschic. The data can be summarized as:

Data of the Model
Group Marginal Product Proportion of population Cost of education level y
I 1 q_{1} y
II 2 1-q_{1} y/2

Suppose that the employer believes that there is a level of education y* bellow which productivity is 1 and above which productivity is 2. His offered wage schedule W(y) will be:

W(y) = \begin{cases} 1, & y < y* \\ 2, & y > y* \end{cases}

Working with these hypotheses Spence shows that:

1.There is no rational reason for someone choosing a different level of education from 0 or y*.

2.Group I sets y=0 if 1>2-y*, that is if the return for not investing in education is higher than investing in education.

3.Group II sets y=y* if 2-y*/2>1, that is the return for investing in education is higher than not investing in education.

4.Therefore, putting the previous two inequalities together, if 1<y*<2, then the employer initial beliefs are confirmed.

5.There are infinite equilibrium values of y* belonging to the interval [1,2], but they are not equivalent from the welfare point of view. The higher y* the worse off is Group II, while Group I is unaffected.

6.If no signaling takes place each person is paid his unconditional expected marginal product 2-q_{1}. Therefore Group I is worse off when signaling is present.

In conclusion, even if education has no real contribution to the marginal product of the worker, the combination of the beliefs of the employer and the presence of signaling transforms the education level y* in a prerequisite for the higher paying job. It may appear to an external observer that education has raised the marginal product of labor, without this necessarily being true.

Another model[edit]

For a signal to be effective, certain conditions must be true. In equilibrium the cost of obtaining the credential must be lower for high productivity workers and act as a signal to the employer such that they will pay a higher wage.

Illustration of a simple two person model

In this model it is optimal for the higher ability person to obtain the credential (the observable signal) but not for the lower ability individual. The table shows the outcome of low ability person l and high ability person h with and without signal S*:

Summary of the outcome for l and h with and without S*
Person Without Signal With Signal Will the person obtain the signal S*?
l Wo W* - C'(l) No, because Wo > W* - C'(l)
h Wo W* - C'(h) Yes, because Wo < W* - C'(h)

The structure is as follows: There are two individuals with differing ability (productivity) levels.

  • A higher ability / productivity person: h
  • A lower ability / productivity person : l

The premise for the model is that a person of high ability (h) has a lower cost for obtaining a given level of education than does a person of lower ability (l). Cost can be in terms of monetary, such as tuition, or psychological, stress incurred to obtain the credential.

  • Wo is the expected wage for an education level less than S*
  • W* is the expected wage for an education level equal or greater than S*

For the individual:

Person(credential) - Person(no credential) Cost(credential) Obtain credential
Person(credential) - Person(no credential) < Cost(credential) Do not obtain credential

Thus, if both individuals act rationally it is optimal for person h to obtain S* but not for person l so long as the following conditions are satisfied.

Edit: note that this is incorrect with the example as graphed. Both 'l' and 'h' have lower costs than W* at the education level. Also, Person(credential) and Person(no credential) are not clear.

For the employers:

Person(credential) = E(Productivity | Cost(credential) Person(credential) - Person(no credential))
Person(no credential) = E(Productivity | Cost(credential) > Person(credential) - Person(no credential))

In equilibrium, in order for the signalling model to hold, the employer must recognize the signal and pay the corresponding wage and this will result in the workers self-sorting into the two groups. One can see that the cost/benefit structure for a signal to be effective must fall within certain bounds or else the system will fail.[2]

Signalling and IPOs[edit]

Leland and Pyle (1977) analyse the role of signals within the process of IPO. The authors show how companies with good future perspectives and higher possibilities of success ("good companies") should always send clear signals to the market when going public (e.g. the owner should keep control of a significant percentage of the company). To be reliable, the signal must be too costly to be imitated by "bad companies". If no signal is sent to the market, asymmetric information will result in adverse selection in the IPO market.

Brand and Signaling[edit]

Waldfogel and Chen (2006)[3] demonstrate the importance of brands in signaling quality in online marketplaces.


Customers, Employees, and Signaling[edit]

Groening, Mittal, and Zhang (2015) argue that how a firm treats one stakeholder group in conjunction with how the firm treats another stakeholder group provides a strong signal to investors about the firm's strategy. Specifically, a firm’s achievements (lapses) directed at customers have a stronger positive (negative) impact on investors’ valuation of the firm if they are validated by its achievements (lapses) directed at employees, and vice versa. They also argue that the signaling value of this cross validation is stronger for firms competing in fewer, than more segments. Using data from 1994-2010 they find support for this theorizing.[4]


Signalling and eBay Motors' Price Premium[edit]

Signaling has been studied and proposed as a means to address asymmetric information in markets for Lemons.[5] Recently, signaling theory has been applied in used cars market such as eBay Motors. For example, Lewis (2011)[6] examines the role of information access and shows that the voluntary disclosure of private information increases the prices of used cars on eBay. Further, Dimoka et al. (2012)[7] analyzed data from eBay Motors on the role of signals to mitigate product uncertainty. Extending the information asymmetry literature in consumer behavior literature from the agent (seller) to the product, authors theorized and validated the nature and dimensions of product uncertainty, which is distinct from, yet shaped by, seller uncertainty. Authors also found information signals (diagnostic product descriptions and third-party product assurances) to reduce product uncertainty, which negatively affect price premiums (relative to the book values) of the used cars in online used cars markets.

See also[edit]

References[edit]

  1. ^ a b c Michael Spence (1973). "Job Market Signaling". Quarterly Journal of Economics (The Quarterly Journal of Economics, Vol. 87, No. 3) 87 (3): 355–374. doi:10.2307/1882010. JSTOR 1882010. 
  2. ^ http://economics.mit.edu/files/552
  3. ^ Waldfogel, Joel; Chen, L. "Does Information Undermine Brand? Information Intermediary Use and Preference for Branded Web Retailers". Journal of Industrial Economics 54 (4): 425-449.
  4. ^ Groening, Christopher and Mittal, Vikas and Zhang, Yan, Cross-Validation of Customer and Employee Signals and Firm Valuation (April 25, 2015). Journal of Marketing Research, Forthcoming. Available at SSRN: http://ssrn.com/abstract=2623204
  5. ^ Akerlof, G. A. (1970). The market for" lemons": Quality uncertainty and the market mechanism. The Quarterly Journal of Economics, 488-500.
  6. ^ Lewis, Gregory. "Asymmetric Information, Adverse Selection and Online Disclosure: The Case of eBay Motors". American Economic Review 101 (4): 1535-1546.
  7. ^ Dimoka, Angelika; Hong, Yili; Pavlou, Paul. "On Product Uncertainty in Online Markets: Theory and Evidence". MIS Quarterly 36 (2): 395-426.

Further reading[edit]

  • Michael Spence (2002). "Signaling in Retrospect and the Informational Structure of Markets". American Economic Review 92 (3): 434–459. doi:10.1257/00028280260136200. (also available as his Nobel Prize lecture PDF)
  • Andrew Weiss (1995). "Human Capital vs. Signaling Explanations of Wages". The Journal of Economic Perspectives 9 (4): 133–154. doi:10.1257/jep.9.4.133. 
  • Dimoka, Angelika; Hong, Yili; Pavlou, Paul. "On Product Uncertainty in Online Markets: Theory and Evidence". MIS Quarterly 36 (2): 395–426. 
  • Waldfogel, Joel; Chen, L. "Does Information Undermine Brand? Information Intermediary Use and Preference for Branded Web Retailers". Journal of Industrial Economics 54 (4): 425–449. 
  • Lewis, Gregory. "Asymmetric Information, Adverse Selection and Online Disclosure: The Case of eBay Motors". American Economic Review 101 (4): 1535–1546.