This paper provides an introduction and "user guide" to Regression Discontinuity (RD) designs for empirical researchers. It presents the basic theory behind the research design, details when RD is likely to be valid or invalid given economic incentives, explains why it is considered a "quasi-experimental" design, and summarizes different ways (with their advantages and disadvantages) of estimating RD designs and the limitations of interpreting these estimates. Concepts are discussed using examples drawn from the growing body of empirical research using RD.

Regression Discontinuity Designs in Economics

Many empirical questions in economics and other social sciences depend on causal effects of programs or policies. In the last two decades, much research has been done on the econometric and statistical analysis of such causal effects. This recent theoreti- cal literature has built on, and combined features of, earlier work in both the statistics and econometrics literatures. It has by now reached a level of maturity that makes it an important tool in many areas of empirical research in economics, including labor economics, public finance, development economics, industrial organization, and other areas of empirical microeconomics. In this review, we discuss some of the recent developments. We focus primarily on practical issues for empirical research- ers, as well as provide a historical overview of the area and give references to more technical research.

/pdf/recent-developments-in-the-econometrics-of-program-42vjewfvjw.pdf

Recent developments in the econometrics of program evaluation

This paper provides an introduction and “user guide” to Regression Discontinuity (RD) designs for empirical researchers. It presents the basic theory behind the research design, details when RD is likely to be valid or invalid given economic incentives, explains why it is considered a “quasi-experimental” design, and summarizes different ways (with their advantages and disadvantages) of estimating RD designs and the limitations of interpreting these estimates. Concepts are discussed using examples drawn from the growing body of empirical research using RD. ( JEL C21, C31)

/pdf/regression-discontinuity-designs-in-economics-5foiogfcmd.pdf

Regression discontinuity designs in economics

This article discusses the economic implications of reciprocity. A long-standing tradition in economics views human beings as exclusively self-interested. In most economic accounts of individual behavior and aggregate social phenomena, the vast forces of greed are put at the center of the explanation. However, many people deviate from purely self-interested behavior in a reciprocal manner. Reciprocity means that in response to friendly actions, people are frequently much nicer and much more cooperative than predicted by the self-interest model; conversely, in response to hostile actions they are frequently much more nasty and even brutal. There is considerable evidence that a substantial fraction of people behave according to this dictum: People repay gifts and take revenge even in interactions with complete strangers and even if it is costly for them and yields neither present nor future material rewards. This notion of reciprocity is thus very different from kind or hostile responses in repeated interactions that are solely motivated by future material gains.

/pdf/fairness-and-retaliation-the-economics-of-reciprocity-3kli7g3xjv.pdf

Fairness and Retaliation: The Economics of Reciprocity

https://scholar.harvard.edu/files/imbens/files/regression_discontinuity_designs_a_guide_to_practice.pdf

Regression Discontinuity Designs: A Guide to Practice

We investigate how and why the productivity of a worker varies as a function of the productivity of her co-workers in a group production process. In theory, the introduction of a high productivity worker could lower the effort of incumbent workers because of free riding; or it could increase the effort of incumbent workers because of peer effects induced by social norms, social pressure, or learning. Using scanner level data, we measure high frequency, worker-level productivity of checkers for a large grocery chain. Because of the firm's scheduling policy, the timing of within-day changes in personnel is unsystematic, a feature for which we find consistent support in the data. We find strong evidence of positive productivity spillovers from the introduction of highly productive personnel into a shift. A 10% increase in average co-worker permanent productivity is associated with 1.7% increase in a worker's effort. Most of this peer effect arises from low productivity workers benefiting from the presence of high productivity workers. Therefore, the optimal mix of workers in a given shift is the one that maximizes skill diversity. In order to explain the mechanism that generates the peer effect, we examine whether effort depends on workers' ability to monitor one another due to their spatial arrangement, and whether effort is affected by the time workers have previously spent working together. We find that a given worker's effort is positively related to the presence and speed of workers who face him, but not the presence and speed of workers whom he faces (and do not face him). In addition, workers respond more to the presence of co-workers with whom they frequently overlap. These patterns indicate that these individuals are motivated by social pressure and mutual monitoring, and suggest that social preferences can play an important role in inducing effort, even when economic incentives are limited.

https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID932027_code525231.pdf?abstractid=932027&mirid=1

Peers at Work

We study peer effects in the workplace. Specifically, we investigate whether, how, and why the productivity of a worker depends on the productivity of coworkers in the same team. Using high-frequency data on worker productivity from a large supermarket chain, we find strong evidence of positive productiv ity spillovers from the introduction of highly productive personnel into a shift. Worker effort is positively related to the productivity of workers who see him, but not workers who do not see him. Additionally, workers respond more to the presence of coworkers with whom they frequently interact. We conclude that social pressure can partially internalize free-riding externalities that are built into many workplaces. (JEL J24, L81, M54)

https://www.econstor.eu/bitstream/10419/33749/1/530032856.pdf

Economists have long speculated that individuals care about both their absolute income and their income relative to others. We use a simple theoretical framework and a randomized manipulation of access to information on peers' wages to provide new evidence on the effects of relative pay on individual utility. A randomly chosen subset of employees of the University of California was informed about a new website listing the pay of all University employees. All employees were then surveyed about their job satisfaction and job search intentions. Our information treatment doubles the fraction of employees using the website, with the vast majority of new users accessing data on the pay of colleagues in their own department. We find an asymmetric response to the information treatment: workers with salaries below the median for their pay unit and occupation report lower pay and job satisfaction, while those earning above the median report no higher satisfaction. Likewise, below-median earners report a significant increase in the likelihood of looking for a new job, while above-median earners are unaffected. Our findings indicate that utility depends directly on relative pay comparisons, and that this relationship is non-linear.

/pdf/inequality-at-work-the-effect-of-peer-salaries-on-job-bj3z0ur66q.pdf

Inequality at Work: The Effect of Peer Salaries on Job Satisfaction

Schelling (“Dynamic Models of Segregation,” Journal of Mathematical Sociology 1 (1971), 143–186) showed that extreme segregation can arise from social interactions in white preferences: once the minority share in a neighborhood exceeds a “tipping point,” all the whites leave. We use regression discontinuity methods and Census tract data from 1970 through 2000 to test for discontinuities in the dynamics of neighborhood racial composition. We find strong evidence that white population flows exhibit tipping-like behavior in most cities, with a distribution of tipping points ranging from 5% to 20% minority share. Tipping is prevalent both in the suburbs and near existing minority enclaves. In contrast to white population flows, there is little evidence of nonlinearities in rents or housing prices around the tipping point. Tipping points are higher in cities where whites have more tolerant racial attitudes.

/pdf/tipping-and-the-dynamics-of-segregation-d4tc6dbvml.pdf

Tipping and the Dynamics of Segregation

We employ a discrete choice experiment in the employment process for a national call center to estimate the willingness to pay distribution for alternative work arrangements relative to tr...

/pdf/valuing-alternative-work-arrangements-1potubq2kl.pdf

Alexandre Mas

Papers

Peers at Work

Peers at Work

Inequality at Work: The Effect of Peer Salaries on Job Satisfaction

Tipping and the Dynamics of Segregation

Valuing Alternative Work Arrangements