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40,306,956 result(s) for "SHARE"
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Should Your Brand Pick a Side? How Market Share Determines the Impact of Corporate Political Advocacy
Consumers increasingly expect brands to \"pick a side\" on divisive sociopolitical issues, but managers are reluctant to risk alienating customers who oppose their position. Moreover, research on identity-based consumption and negativity bias suggests that corporate political advocacy (CPA) is more likely to repel existing customers who oppose the CPA than to attract new customers who support it, implying that the net effect will be negative even if consumers overall are evenly divided in their support/opposition. In this research, the authors posit that despite this negativity bias in individual-level choice, the net effect of CPA at the market level is determined by a sorting process that benefits small-share brands and hurts large-share brands. This is because having few customers to lose and many to gain can offset the risk of the negativity bias in consumers' identity-driven responses to CPA, potentially leading to a net influx of customers for small-share brands. Five experiments provide support for this theorizing and identify authenticity as a necessary condition for small share brands to benefit.
Concentrating on the Fall of the Labor Share
The recent fall of labor's share of GDP in numerous countries is well-documented, but its causes are poorly understood. We sketch a “superstar firm” model where industries are increasingly characterized by “winner take most” competition, leading a small number of highly profitable (and low labor share) firms to command growing market share. Building on Autor et al. (2017), we evaluate and confirm two core claims of the superstar firm hypothesis: the concentration of sales among firms within industries has risen across much of the private sector; and industries with larger increases in concentration exhibit a larger decline in labor's share.
SHIFT-SHARE DESIGNS
We study inference in shift-share regression designs, such as when a regional outcome is regressed on a weighted average of sectoral shocks, using regional sector shares as weights. We conduct a placebo exercise in which we estimate the effect of a shift-share regressor constructed with randomly generated sectoral shocks on actual labor market outcomes across U.S. commuting zones. Tests based on commonly used standard errors with 5% nominal significance level reject the null of no effect in up to 55% of the placebo samples. We use a stylized economic model to show that this overrejection problem arises because regression residuals are correlated across regions with similar sectoral shares, independent of their geographic location. We derive novel inference methods that are valid under arbitrary cross-regional correlation in the regression residuals. We show using popular applications of shift-share designs that our methods may lead to substantially wider confidence intervals in practice.
A Practical Guide to Shift-Share Instruments
A recent econometric literature shows two distinct paths for identification with shift-share instruments, leveraging either many exogenous shifts or exogenous shares. We present the core logic of both paths and practical takeaways via simple checklists. A variety of empirical settings illustrate key points.
Structure, function and regulation of the hsp90 machinery
Heat shock protein 90 (Hsp90) is an ATP-dependent molecular chaperone which is essential in eukaryotes. It is required for the activation and stabilization of a wide variety of client proteins and many of them are involved in important cellular pathways. Since Hsp90 affects numerous physiological processes such as signal transduction, intracellular transport, and protein degradation, it became an interesting target for cancer therapy. Structurally, Hsp90 is a flexible dimeric protein composed of three different domains which adopt structurally distinct conformations. ATP binding triggers directionality in these conformational changes and leads to a more compact state. To achieve its function, Hsp90 works together with a large group of cofactors, termed co-chaperones. Co-chaperones form defined binary or ternary complexes with Hsp90, which facilitate the maturation of client proteins. In addition, posttranslational modifications of Hsp90, such as phosphorylation and acetylation, provide another level of regulation. They influence the conformational cycle, co-chaperone interaction, and inter-domain communications. In this review, we discuss the recent progress made in understanding the Hsp90 machinery.
Capital Deepening and Nonbalanced Economic Growth
We present a model of nonbalanced growth based on differences in factor proportions and capital deepening. Capital deepening increases the relative output of the more capital‐intensive sector but simultaneously induces a reallocation of capital and labor away from that sector. Using a two‐sector general equilibrium model, we show that nonbalanced growth is consistent with an asymptotic equilibrium with a constant interest rate and capital share in national income. For plausible parameter values, the model generates dynamics consistent with U.S. data, in particular, faster growth of employment and slower growth of output in less capital‐intensive sectors, and aggregate behavior consistent with the Kaldor facts.
MICRO DATA AND MACRO TECHNOLOGY
We develop a framework to estimate the aggregate capital-labor elasticity of substitution by aggregating the actions of individual plants. The aggregate elasticity reflects substitution within plants and reallocation across plants; the extent of heterogeneity in capital intensities determines their relative importance. We use micro data on the cross-section of plants to build up to the aggregate elasticity at a point in time. Interpreting our econometric estimates through the lens of several different models, we find that the aggregate elasticity for the U. S. manufacturing sector is in the range of 0.5–0.7, and has declined slightly since 1970. We use our estimates to measure the bias of technical change and assess the decline in labor’s share of income in the U.S. manufacturing sector. Mechanisms that rely on changes in the relative supply of factors, such as an acceleration of capital accumulation, cannot account for the decline.
The value relevance of accounting information: empirical evidence from Jordan
Purpose This empirical study’s primary goal is to examine the connection between accounting information and share price for financial companies listed on Jordan’s expanding Amman Stock Exchange (ASE) between 2014 and 2018. Design/methodology/approach The correlation between accounting data and share price was investigated using multiple regression analysis. In this vein, “pooled ordinary least squares (OLS), fixed effect and random effect” static panel data estimators were used. The OLS model was chosen as the best model after a series of diagnostic tests. Findings The multiple proxies of accounting information value relevance have a positive and considerable impact on the market value per share, according to panel data research. Comparatively, the authors find proof that among the other accounting data – earnings, dividends and cash flow from operations – book value is statistically the most value-relevant. Research limitations/implications This empirical investigation was only conducted in Jordan. Because it is very likely to obtain different results in other nations, the findings cannot be applied to other business environments. Practical implications The findings of this paper may highlight the amazing relationship between accounting information and share price for policymakers, regulators and other stakeholders in developing nations, notably in Jordan. This could pave the way for effective accounting disclosures. Originality/value Seldom does empirical research on the relationship between accounting data and share prices from publicly traded companies on ASE exist. So, by demonstrating empirical findings from Jordanian companies, this study fills the gap in the existing literature and knowledge.