Understanding the nature of capitalism has been a central theme of economics. The collapse of the Eastern Bloc and the global financial crisis spurred the reemergence of the political economy as a new frontier and the revival of interest in the nature of capitalism. János Kornai's book Dynamism, Rivalry, and the Surplus Economy: Two Essays on the Nature of Capitalism fills an important intellectual gap in understanding the dynamic nature of capitalism by comparing it with its mirror image, socialism. To further develop the themes contained in the book, serious challenges are posed theoretically and empirically, as well as in subjects, such as hybrid capitalism.

China's economic reforms have resulted in spectacular growth and poverty reduction. However, China's institutions look ill-suited to achieve such a result, and they indeed suffer from serious shortcomings. To solve the “China puzzle,” this paper analyzes China's institution—a regionally decentralized authoritarian system. The central government has control over personnel, whereas subnational governments run the bulk of the economy; and they initiate, negotiate, implement, divert, and resist reforms, policies, rules, and laws. China's reform trajectories have been shaped by regional decentralization. Spectacular performance on the one hand and grave problems on the other hand are all determined by this governance structure.

This article develops the uniform asymptotic theory for local projection (LP) regression when the true lag order of the model is unknown and potentially infinite. The theory allows for varying degrees of persistence in the data, growing response horizons, and general conditionally heteroskedastic martingale-difference shocks. Based on the theory, we make two main contributions. First, we show that LPs can achieve semiparametric efficiency at a given horizon under classical assumptions on the data, provided that the controlled lag order diverges. Thus, the commonly perceived efficiency loss of LPs can become asymptotically negligible with many controls. Second, we propose LP-based inference procedures for (level and cumulated) impulse responses that possess robustness properties not shared by existing methods. Inference methods using two distinct standard errors are considered. The uniform validity for the first method depends on a zero fourth-order cumulant condition on shocks, while that of the second holds more generally for conditionally heteroskedastic martingale-difference shocks. We propose a bootstrap procedure that improves finite-sample performance and extend the standard error construction to structural responses.

Research in finance and macroeconomics has routinely employed multiple horizons to test asset return predictability. In a simple predictive regression model, we find the popular scaled test can have zero power when the predictor is not sufficiently persistent. A new test based on implication of the short-run model is suggested and is shown to be uniformly more powerful than the scaled test. The new test can accommodate multiple predictors. Compared with various other widely used tests, simulation experiments demonstrate remarkable finite-sample performance. We reexamine the predictive ability of various popular predictors for aggregate equity premium.

We examine how firms are affected by the political bargaining power of their headquarters’ region. Exploiting variation in the strategic importance of swing states stemming from shifting partisan balance in the U.S. Senate, we find that corporate valuations and investments positively respond to increases in regional political influence. We verify the valuation findings using an event study based on the 2021 Georgia runoff election that unexpectedly produced a 50-50 balance in the Senate. We investigate potential policy mechanisms and find that tax incentives constitute the most likely channel through which firms benefit from the political bargaining power of their headquarters’ region.

We document important links between targets’ institutional ownership and takeover-bid outcomes. Firms’ institutional ownership increases the likelihood of receiving stock-for-stock bids. The impact becomes stronger when information asymmetries are higher, whereas we find little support for alternative channels, such as bidder misvaluation or target-side adverse selection. The information channel is further buttressed in our analyses of institutions’ share-retention decisions, targets’ demand for top-tier advisors, collar provisions, and targets’ share of expected synergies. Our findings suggest that institutions’ information advantage facilitates rational payment design and targets’ bargaining power gains, alleviating deadweight losses associated with stock-for-stock offers.

This paper examines whether there is a gender promotion gap among executives. Using a comprehensive dataset of executives, I find that women’s promotion probability is 16% lower than men’s after controlling for educational and employment background, age, function, rank, and firm characteristics. The gap occurs partially because women are clustered in positions that support the business rather than positions with profit-and-loss responsibilities. Additionally, my analysis shows that product market competition, public attention on gender diversity, a respectful corporate culture, and board gender diversity alleviate the gender promotion gap. These findings support the notion that demand-side factors continue to hinder women’s advancement to leadership positions.

Connected financial journalists—those with working relationships, common school ties, or social media connections to company management—introduce a marked media slant into their news coverage. Using a comprehensive set of newspaper articles covering mergers and acquisition (M&A) transactions from 1997 to 2016, I find that connected journalists use significantly fewer negative words in their coverage of connected acquirers. These journalists are also more likely to quote connected executives and include less accurate language in their reporting. Moreover, they tend to portray other firms in the same network in a less negative light. Journalists’ favoritism bias has implications for both capital market outcomes and their careers. I find that acquirers whose M&As are covered by connected journalists receive significantly higher stock returns on the news article publication date. However, these acquirers’ stock prices reverse in the long term, suggesting market overreaction to news covered by connected journalists. Around M&A transactions, connected articles are correlated with increased bid competition and deal premiums. In terms of future career development, connected journalists are more likely to leave journalism and join their associated industries in the long run. Taken together, the evidence suggests that financial journalists’ personal networks promote news bias that potentially hinders the efficient dissemination of information.

We characterize the properties of optimal accounting rules in a signaling game. An impatient firm sells shares to competitive investors. The firm can signal its private information about the fundamental by retaining a fraction of the shares. In addition, the firm can commit to disclosing information according to a set of accounting rules chosen ex ante. Information disclosure reduces signaling cost so that perfect disclosure is optimal. When perfect disclosure is impossible, the optimal accounting rule features a lower bound and a summary statistic of the fundamental. The interpretation of the lower bound is consistent with accounting conservatism, and the statistic summarizes the information most relevant to the firm׳s valuation. The justification for accounting conservatism relies on the existence of information asymmetry and the infeasibility of perfect accounting disclosure. This is consistent with the conjecture of LaFond and Watts (2008) that information asymmetry calls for accounting conservatism.

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