We study merger policy in a dynamic computational model in which firms can reduce costs through investment or through mergers. Firms invest or propose mergers according to the profitability of these strategies. An antitrust authority can block mergers at some cost. We examine the optimal policy for an antitrust authority that cannot commit to its future policy and approves mergers as they are proposed. We find that the optimal policy can differ substantially from a policy based on static welfare. In general, antitrust policy can greatly affect firms’ investment behavior, and firms’ investment behavior can greatly affect the optimal antitrust policy.

Lack of trust in state institutions, often due to poor service provision, is a pervasive problem in many developing countries. If this increases reliance on non-state actors for crucial services, the resulting self-reinforcing cycle can further weaken the state. This paper examines whether such a cycle can be disrupted. We focus on dispute resolution in rural Punjab, Pakistan. We find that providing information about reduced delays in state courts leads to citizens reporting higher willingness to use state courts and to greater fund allocations to the state in two lab-in-the-field games designed to measure trust in state and non-state actors in a high-stakes setting. More interestingly, we find indirect effects on non-state actors. After receiving state positive information, respondents report lower likelihood of using non-state institutions and reduce funds allocated to them in field games. Furthermore, we find similar direct and indirect effects on a battery of questions concerning people's beliefs about these actors, including a decreased allegiance to the non-state actor. We rationalize these results with a model of motivated reasoning whereby reduced usage of non-state institutions makes people less likely to hold positive views about them. These results indicate that, despite substantial distrust of the state in Pakistan, credible new information can change beliefs and behavior. The feedback loop between state ineffectiveness and the legitimacy of non-state actors may be reversible.

We study the nonparametric identification of gross output production functions under the environment of the commonly employed proxy variable methods. We show that applying these methods to gross output requires additional sources of variation in the demand for flexible inputs (e.g., prices). Using a transformation of the firm’s first-order condition, we develop a new nonparametric identification strategy for gross output that can be employed even when additional sources of variation are not available. Monte Carlo evidence and estimates from Colombian and Chilean plant-level data show that our strategy performs well and is robust to deviations from the baseline setting.

Increasing evidence indicates the importance of management in determining firms' productivity. Yet causal evidence regarding the effectiveness of management practices is scarce, especially for skilled labor in the developed world. In a field experiment measuring commercial airline captains’ productivity, we test four distinct management practices: performance monitoring, performance feedback, target setting, and prosocial incentives. These practices—particularly monitoring and target setting—significantly increase captains' productivity on the targeted fuel-saving dimensions, with positive spillovers on job satisfaction and CO2 emissions. The study reveals an uncharted research opportunity to delve into the black box of firms to examine the determinants of productivity among skilled labor.

Corrective taxes can solve many market failures, but actual policies frequently deviate from the theoretical ideal because of administrative or political constraints. We present a method to quantify the efficiency costs of constraints on externality-correcting policies or, more generally, the costs of imperfect pricing, using simple regression statistics. Under certain conditions, the R2 and the sum of squared residuals from a regression of true externalities on policy variables measure relative welfare gains from policies. We illustrate via four empirical applications: random mismeasurement of externalities, imperfect electricity pricing, heterogeneity in the longevity of energy-consuming durable goods, and imperfect spatial policy differentiation.