Knowledge that Transforms

Firms’ green technology investments are increasingly important for competitive positioning, yet their impact on long-run performance remains unclear. Using electricity capacity data for global utility firms, we construct a unique structural measure of technological greenness based on renewable versus fossil fuel physical infrastructure. We find that adopting sustainable technologies is followed by a long-run improvement in corporate fundamentals that is only partially reflected in stock prices, yielding superior returns over a multi-year horizon. These results partly reflect higher revenue growth in liberalized retail markets rather than investor sentiment, revealing a consumer-based mechanism that likely extends to competitive downstream sectors.

We survey 153 empirical studies of family firms and document 192 operational definitions representing 25 distinct definition types. These definitions can be decomposed into five recurring, codable dimensions: ownership, management, board representation, embeddedness, and succession. We relate these dimensions to economic mechanisms including agency conflicts, residual control rights, transaction costs, and dynastic control. Alternative definitions select systematically different populations and yield materially different estimates of firm performance and innovation. Definition choice is largely unrelated to the research question, except in succession studies. Ownership thresholds track private enforcement of self-dealing rules, but not statutory shareholder rights or rule of law. We conclude that the family firm is a family of related constructs rather than a single latent construct. Definitions should therefore match the family-firm construct implied by the research question, and results should be reported across alternative classification rules.

The random assignment of judges promotes fairness and underpins causal identification across the social sciences. Analyzing Chapter 11 bankruptcies, we find sophisticated parties “judge‐shop”: relative to secured hedge fund creditors, cases involving unsecured hedge fund creditors and equity holders are assigned judges with lower past conversion rates and higher unsecured recovery rates. Experienced legal counsel similarly influences assignment. Because judges are not assigned consecutive large cases, knowledgeable parties can judge‐shop by timing the filing date. We develop a method to measure the resulting bias and demonstrate the need for controls and bounded instrumental variable specifications in judge/examiner designs.

We compare and combine two distinct approaches to estimating market power in the US brewing industry—one based on production data, the other on demand. Both methods produce similar estimates of average markups and reveal a recent upward trend. We then combine the two approaches in two ways. First, we replace conventional instruments in demand estimation with a moment involving a production-based markup estimate, yielding similar results. We then evaluate the common (but controversial) assumption that retail markets operate competitively, finding that demand-based markups recovered with the assumption of competitive retail markets align with production-based estimates, as long as downstream costs are accounted for.