This chapter teaches readers how to think about government regulations on pay. Although a lot is said about specific US laws, the primary focus is on how to think about regulation in general, so the discussion is portable across countries even where the local laws differ. Section 4.3 introduces a prescriptive mnemonic concept called the “3 Cs” of constraints: Comprehend, Circumvent, Comply. The idea is that managers first need to comprehend the constraints that impede their efforts to maximize company profit. They should then search for creative ways to circumvent those constraints (without violating ethics or the law). Finally, to the extent that they cannot circumvent the constraints, they must comply with them. The ethical issues surrounding the second of these Cs are discussed. Both anti-discrimination laws and wage-and-hour laws are discussed, including FLSA, ADA, ADEA, EPA, FMLA, and others. There is extensive discussion of floors and ceilings on both the monetary and non-monetary components of pay. An example of floors on paid time off draws on the concept of the marginal worker from Chapter 3 to show that regulations limit the variety of pay plans offered in the market.

The chapter's premise is that understanding how something works requires studying it when it’s broken. The book is about labor contracts, i.e., formal or informal agreements between employers and employees. Sometimes employers breach these contracts by failing to pay their workers. Some workers (e.g., undocumented immigrants) are particularly vulnerable to “wage theft”. The timing of the parties' exchange of work and pay, and how it relates to wage theft, is discussed. Regulatory remedies to the wage-theft problem are studied, and it is shown that such regulations can lower workers’ average pay level by reducing the risk premium that compensates workers for wage-theft risk. Other remedies are given that involve no government intervention. Employers’ passive cuts to workers' real (as opposed to nominal) pay, via the erosive role of inflation, are discussed. Wage theft is offered as an example of a compensating differential (because it is an undesirable job attribute) before that topic is introduced. Themes from the wage-theft discussion recur throughout the book (e.g., in Chapter 10, on executive compensation, there is discussion of firms reneging on CEOs’ expected bonus payments).

So far in this book we have taken one topic or tool at a time and looked at how we could tackle a given data problem. Now, it is time to start bringing them together to develop a deeper understanding of the nature of data problems and methods, as well as extend our reach and skillset to address new problems that may emerge. There is, of course, no way we could cover all that you would encounter in real life, but we can certainly try to go through a few examples to see where you could take your data science skills.

This chapter covers compensating differentials, the theoretical foundation for most of the book. The key idea follows from Chapter 1's broad definition of compensation as “everything a worker likes about the job”. Jobs have many positive and negative characteristics, and workers vary in how much they value (or dislike) these characteristics. Positive job characteristics are a form of non-monetary pay, and negative characteristics diminish a worker’s effective pay. Holding other job characteristics constant, workers must be paid more to compensate them for a particular negative job characteristic and, similarly, are willing to accept less monetary pay when they enjoy a particular positive job characteristic. Workers sort across different jobs and employers based on their preferences for those job characteristics. The size of the wage differential (arising from a particular job characteristic) that occurs in the market is determined by the “marginal worker's” preferences for that job characteristic. Through a series of extensive examples, the reader is led to a thorough understanding of the marginal worker and compensating differentials, concepts which recur throughout the book.

This chapter covers a core problem that managers regularly face (i.e., negotiating with current or prospective employees over pay). The topic is usually omitted from compensation texts and is covered in separate courses in business programs. But negotiation over pay is such an integral part of strategic compensation and talent management that it cannot be omitted from a book that aims to train managers to think strategically about pay. For example, talent retention (Chapter 12) requires managers to respond correctly when employees receive outside offers from competitors, which immediately triggers bargaining and negotiation over pay. The chapter opens by stressing the importance of defining your objective. The most important ingredient to successful negotiation is information, so the questions of when and how to reveal and collect information are addressed in depth. Sections 14.4 and 14.5 examine threats and bluffs as negotiating tools, as well as how managers should think about and respond to counteroffers. As discussed in the final section, sometimes employers can gain the upper hand during bargaining by complicating the discussion, whereas other times simplification is better.

Python is a simple-to-use yet powerful scripting language that allows one to solve data problems of varying scale and complexity. It is also the most used tool in data science and most frequently listed in data science job postings as the requirement. Python is a very friendly and easy-to-learn language, making it ideal for the beginner. At the same time, it is very powerful and extensible, making it suitable for advanced data science needs.

While there are many powerful programming languages that one could use for solving data science problems, people forget that one of the most powerful and simplest tools to use is right under their noses. And that is UNIX. The name may generate images of old-time hackers hacking away on monochrome terminals. Or, it may hearken the idea of UNIX as a mainframe system, taking up lots of space in some warehouse. But, while UNIX is indeed one of the oldest computing platforms, it is quite sophisticated and supremely capable of handling almost any kind of computational and data problem. In fact, in many respects, UNIX is leaps and bounds ahead of other operating systems; it can do things of which others can only dream!

This chapter connects pay to the important (and costly, from an organizational standpoint) subject of employee turnover. It opens by discussing how the level of pay relates to workers’ turnover rates. A discussion of the timing of compensation (over the course of the worker’s career or tenure with the employer) follows, the key point being that deferred compensation encourages retention. Employers might renege on deferred-pay contracts, which introduces risk for workers. The chapter covers workers’ perceptions of risk as they pertain to the timing and design of pay and to sorting effects. When pay is deferred, workers sometimes advance to a career stage in which their pay outpaces their productivity, at which time employers would like them to quit. Inducing workers to leave can be tricky, particularly given the external and internal constraints covered in Chapters 4 and 5. Sections 12.5 and 12.6 concern severance packages and buyouts, which basically involve paying workers to leave. The conditions under which such payments are offered and accepted are covered. The chapter ends with coverage of corporate raids and when a manager should match an outside offer received by an employee.

This chapter on executive compensation and stock options is effectively a continuation of Chapter 9 on performance pay. It provides an overview of executive compensation and an intuitive, non-technical treatment of stock options that focuses on the worker incentives that options create. There is a lot of discussion of risk (of income loss) that builds on Chapter 9, and the “pay for luck” discussion that ends the chapter concerns the possibility of firms’ reneging on CEOs’ bonus payments, which echoes the wage-theft themes from Chapter 2. Section 10.2 covers the executive bonuses known as “80/120” plans, representing them pictorially as nonlinear functions of a performance measure (that are upward-sloping in some parts, as in the performance-pay graphs of Chapter 9). The section on stock options is detailed and explains all of the key terminology and the most important concepts in this area. The distinction between the intrinsic value and the market value of an option is made carefully, with an intuitive, non-technical discussion of the Black–Scholes–Merton options valuation formula, and the role of risk is explained in detail.

This chapter teaches readers to think about training both as a form of current compensation and as an investment in future pay (because training makes workers more productive, allowing them to earn more in the future). Training is a form of current pay because workers value training (precisely because it increases their future expected compensation) and, for that reason, they are willing to accept lower current compensation than they would receive in an alternative job that is otherwise the same but that does not offer training. This evokes compensating differentials (Chapter 3). The portability of training across firms is covered, as well as whether employees or employers should pay for training and whether the skills imparted by training are general (i.e., useful across many employers) or specific to the current employer. The internal rate of return (or breakeven interest rate) is covered in the context of whether it is profitable to train workers. Section 8.5, on practical applications, gives tips for how managers can obtain information on the key components of the training decision, i.e., employee productivity and expected tenure after training, costs, and the interest rate.

This chapter provides more comprehensive coverage of promotions than is typically seen in compensation texts. The subject is important for compensation because employees' biggest raises usually involve promotions, so promotions are intimately connected to pay growth. Plus, promotion prospects are valued by workers and might make them willing to accept lower pay than they would receive in (otherwise identical) jobs that offer little or no promotion prospects, which connects to the concept of compensating differentials (Chapter 3). This chapter gets the reader-manager thinking about compensation structures within an entire organization, i.e., how the compensation differs across levels of the job hierarchy. The chapter opens by describing the role of promotions in creating worker incentives, both productive and perverse, and in matching workers to jobs ideally within the company. The question of why promotions usually come with big raises is covered, as is the important and common managerial problem of internal-versus-external hiring. The implications of turnover for promotions (and vice versa) are covered, as are up-or-out policies that require employers to fire non-promoted workers.