In this study, we investigate the relationship between debt governance and overinvestment. We use net cash flows to debtholders as a proxy for debt governance and find that an increase in these cash flows mitigates firms' overinvestment. We also show that free cash flows lead cash-rich and cash-poor firms to overinvest but that debt governance attenuates this problem. Finally, we find that the mitigating effect of net cash flows to debtholders on overinvestment is highly pronounced in firms with poor governance. These findings suggest that net cash flows to debtholders are particularly effective when shareholder governance is weak. We conclude that cash flows to debtholders can effectively prevent overinvestment and reduce the agency costs of free cash flows.
We offer a simple formalization of different types of flexible working time arrangements. Specifically, we study the distinction between employee-oriented flexibility and employer-oriented flexibility. The formal framework we offer can be useful in formulating hypotheses for the growing body of empirical work in the area.
We argue that the 40-year-old Feldstein–Horioka “puzzle” should have never been labeled as such. We discuss two problems with the literature. First, we show that the series of investment and saving rates typically used in empirical exercises to test the Feldstein–Horioka thesis are not appropriate. The correct series to properly test it are not collected. Second, we show that the Feldstein–Horioka regression is not a model in the econometric sense, that is, an equation with a proper error term (a random variable). The reason is that by adding the capital account to their regression, one gets the accounting identity that relates the capital account, domestic investment, and domestic saving. This implies that the estimate of the coefficient of the saving rate in the Feldstein–Horioka regression can be thought of as a biased estimate of the same coefficient in the accounting identity, where it has a value of 1. Because the omitted variable is known, we call it pseudo bias. Given that this (pseudo) bias is known to be negative and less than 1 in absolute terms, it should come as no surprise that the Feldstein–Horioka regression yields a coefficient between 0 and 1.
This study examines the impact of fiscal autonomy (FAP) on public expenditure performance across 18 Indian states from 2010–11 to 2019–20. We develop a measure of public expenditure performance using social indicators. We also measure FAP using revenue-expenditure ratio. Based on system generalized method of moments, the empirical result confirms that a higher FAP given to Indian states is associated with greater fiscal performance. Further, the robustness check reveals that central transfer insignificantly affects the expenditure performance of Indian states.
The impact of house prices rising on urban labor costs has typical heterogeneity and lag effects, but there is little literature on it. Based on the panel data of 283 prefecture level cities from 2001 to 2017, we constructed panel model considering lag effect and threshold effect. The results show that lag one period of housing price has significant positive impact on urban labor costs, with the increase of housing prices, the effect of pushing up the current labor costs is gradually increasing. So, this impact has obvious lag effect and threshold effect. Through grouped regression to test heterogeneity effect, at the regional level, the heterogeneity of the impact is more significant. The more developed the economy is, the greater the pushing effect of house prices on labor costs.
Identifying the effects of quantitative easing (QE) on asset return correlations is critical to assessing such policies’ impact across financial markets. In this paper, we use a dynamic conditional correlation model that allows us to measure the impact of unconventional monetary policy on time-varying correlations. Our results suggest that QE significantly affected correlations between stocks and bonds after the Great Recession via short-term portfolio balance effects. The findings are critical for policy-makers and practitioners alike. Central banks should consider the impact of monetary policy on asset correlations in their cost–benefit analyses. Likewise, portfolio managers are encouraged to factor in the effects of monetary policy on correlations to optimize portfolios and reduce potential losses strategically.
This study delves into the intricate dynamics of technology, labor markets, and economic growth within the context of Industry 4.0. By integrating automation capital into a dynamic general equilibrium model, we examine its implications for economic performance and social equity. The empirical analysis highlights the substitutability of unskilled labor by automation, revealing a nuanced relationship between automation adoption, the skill premium, and economic growth. Contrary to conventional wisdom, our findings suggest that a reduced ratio of unskilled to skilled labor, driven by automation, can lead to both an increase in the skill premium and sustained economic growth, even in the face of demographic challenges such as declining populations. However, this trend also exacerbates income inequality, underscoring the imperative for policy interventions aimed at promoting skill enhancement and ensuring equitable distribution of technological advancements.