In this paper, we examine the impact of female Chief Technology Officers (CTOs) on corporate innovation. We find that firms with female CTOs are more innovative (as captured by both patent counts and patent citations) than firms with male CTOs. This effect is more pronounced for firms with a stronger innovation-supportive culture, firms with female CEOs, and when female CTOs are more powerful. Using mediation analyses, we further validate that female CTOs’ transformational leadership style is a plausible mechanism through which they affect innovation positively.

Asset prices are a valuable source of information about financial market participants' expectations about key macroeconomic variables. However, the presence of time-varying risk premia requires an adjustment of market prices to obtain the market's rational assessment of future price and policy developments. This paper reviews empirical approaches for recovering market-based expectations. It starts by laying out the two canonical modeling frameworks that form the backbone for estimating risk premia and highlights the proliferation of risk pricing factors that result in a wide range of different asset-price-based expectation measures. It then describes a key methodological innovation to evaluate the empirical plausibility of risk premium estimates and to identify the most accurate market-based expectation measure. The usefulness of this general approach is illustrated for price expectations in the global oil market. Then, the paper provides an overview of the body of empirical evidence for monetary policy and inflation expectations with a special emphasis on market-specific characteristics that complicate the quest for the best possible market-based expectation measure. Finally, it discusses a number of economic applications where market expectations play a key role for evaluating economic models, guiding policy analysis, and deriving shock measures.

My dissertation consists of three studies, all viewing aggregate productivity as driven by the individual decisions of firms and the inventors that work for them. I use microeconometric analysis to study why firms innovate and economic theory to link these decisions to macroeconomic outcomes. The first paper in this dissertation studies how German manufacturing firms adjust their productivity in response to an increase in competition from foreign markets. German firms only increase their productivity if their new competitors come from other industrialized economies. This productivity increase is not driven by innovation. Instead, firms cut input expenses and prices while maintaining their output. The second paper traces the matching decisions of firms and inventors on the labor markets of developed economies. It adapts empirical techniques used in labor economics to this special segment of the labor market and shows that assortative matching has been increasing from 1974 to 2012: High quality inventors go to high quality firms more often than was the case in previous decades. This cannot be explained by changes in the patent invention function: The productivity of a match between a firm and an inventor of constant quality remains roughly unchanged. The third paper develops an endogenous growth model with inventor labor markets and two types of innovation: disruptive inventions that change the underlying technology of firms’ products and incremental improvements over existing products. Firms acquire expertise in certain technologies by hiring the inventors who are experts in these fields. This gives them a strong incentive to prevent disruptive inventions: If the underlying technology changes, their investment in these inventors becomes worthless. Large firms inhibit aggregate growth by poaching inventors from firms engaged in disruptive innovation.

Purpose:

This paper aims to examine the presence of an executive with customer experience (ECE) in a supplier firm’s top management team (TMT). The role of ECE presence remains understudied in the marketing literature. This study attempts to examine the relationship between ECE presence and firm performance.

Design/methodology/approach:

This paper draws on the resource-based view of the firm and adopts a panel firm fixed effects estimator to test the proposed hypotheses. The empirical analysis uses a sample of 1,974 firm-year observations with 489 unique supplier firms. Selection-induced endogeneity is mitigated through the Heckman procedure.

Findings:

ECE presence improves firm performance. Additionally, firms benefit less from ECE presence if a board member with customer experience (BCE) is also present, if a chief executive officer commands a higher pay slice (compared to other executives), and if a TMT is more functionally diversified. However, ECE presence is particularly beneficial if the overall economy is in contraction. Comparing the functional positions held by ECEs reveals that ECE in the marketing function (as a chief marketing officer) offers the largest benefit to an average supplier firm. ECE presence is also associated with other firm outcomes (e.g. bankruptcy odds, innovation and customer orientation).

Measuring innovation is challenging both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growing importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies.
This volume examines how to measure innovation, track its effects on economic activity and prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to, and data sources for, measurement—such as collecting data for a particular innovation as opposed to a firm, and the use of trademarks for tracking innovation. They also consider the connections between university-based R&D and business startups, and the potential impacts of innovation on income distribution.
The research suggests potential strategies for expanding current measurement frameworks to better capture innovative activity, such as more detailed tracking of global value chains to identify innovation across time and space, and expanding the measurement of the GDP impacts of innovation in fields such as consumer content delivery and cloud computing.

Measuring innovation is challenging both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growing importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies. This volume examines how to measure innovation, track its effects on economic activity and prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to, and data sources for, measurement—such as collecting data for a particular innovation as opposed to a firm, and the use of trademarks for tracking innovation. They also consider the connections between university-based R&D and business startups, and the potential impacts of innovation on income distribution. The research suggests potential strategies for expanding current measurement frameworks to better capture innovative activity, such as more detailed tracking of global value chains to identify innovation across time and space, and expanding the measurement of the GDP impacts of innovation in fields such as consumer content delivery and cloud computing.

We link USPTO patent data to U.S. Census Bureau administrative records on individuals and firms. The combined dataset provides us with a directory of patenting household inventors as well as a time-series directory of self-employed businesses tied to household innovations. We describe the characteristics of household inventors by race, age, gender and U.S. origin, as well as the types of patented innovations pursued by these inventors. Business data allows us to highlight how patents shape the early life-cycle dynamics of nonemployer businesses. We find household innovators are disproportionately U.S. born, white and their age distribution has thicker tails relative to business innovators. Data shows there is a deficit of female and black inventors. Household inventors tend to work in consumer product areas compared to traditional business patents. While patented household innovations do not have the same impact of business innovations their uniqueness and impact remains surprisingly high. Back of the envelope calculations suggest patented household innovations granted between 2000 and 2011 might generate $5.0B in revenue (2000 dollars).

Although innovation can be a critical source of competitive advantage, research has found that debt can erode management’s willingness to invest in R&D. In this article, we employ a stakeholder bargaining power perspective to argue that this effect is most pronounced when the firm’s bonds are concentrated in the hands of bond blockholders. Furthermore, we contend that the temporal orientation of bondholders influences this relationship. Specifically, while it is commonly assumed that bondholders have a limited temporal orientation that induces them to focus on short-term value appropriation, we argue that some bond blockholders adopt a long-term temporal orientation. This orientation, in turn, makes them more inclined to support long-term value creation for the firm in the form of enhanced investments in R&D. Moreover, while agency theory suggests that there is an inherent conflict of interest between shareholders and bondholders, our results suggest that the temporal orientation of investors (i.e., both shareholders and bondholders) matters much more than whether they invested in the firm’s equity or its debt.

We investigate how the deterioration of household balance sheets affects worker productivity, and in turn economic downturns. Specifically, we compare the output of innovative workers who experienced differential declines in housing wealth during the financial crisis but were employed at the same firm and lived in the same metropolitan area. We find that, following a negative wealth shock, innovative workers become less productive and generate lower economic value for their firms. The reduction in innovative output is not driven by workers switching to less innovative firms or positions. These effects are more pronounced among workers at greater risk of financial distress.