Trends in the experiences of hospital-employed registered nurses: results from three national surveys

The comparative results of three national surveys provide the only known source of data describing the evolving state of the nursing workforce over time in this country. These national random sample surveys expose the harmful effects of a lingering shortage of nurses and make plain that much work remains to be done to improve the experiences of hospital-employed RNs. At the same time, nurses and others involved in hospital patient care should be encouraged by the improvements that have been made in recent years, despite the presence of a nursing shortage.     

Trends and determinants of energy innovations: patents,environmental policies and oil prices

ABSTRACT

This paper examines the relationship between energy innovations, environmental policies and oil prices. With a panel of 19 OECD countries over the period 1990–2013, we test how the stringency of environmental policies has affected the intensity of energy patents, while controlling for the effect of oil prices and other country-level variables. We found that the overall level of policy stringency has exerted a more significant impact than individual country measures. Moreover, the recent reduction of energy patenting is discussed, especially in the light of the staggering drop of oil prices.     

The determinants of the location of USA direct foreign investment

This article estimates a model of the location of USA direct foreign investment (DFI) in manufacturing that accounts for sociopolitical factors as well as host country demand and cost conditions. The results indicate that all three sets of factors play a significant role in shaping the geography of USA DFI. The results further indicate that the exclusion of sociopolitical factors from a model of DFI location not only limits the model's explanatory power, it leads to a misassessment of the influence of labour cost, tax rates, market size and other economic factors.     

美国联邦财政支出与财政赤字：变化及发展趋势

实行膨胀的财政政策,用赤字财政刺激经济增长,曾使美国陷入经济衰退和通货膨胀的泥潭。克林顿入主白宫后,推行自己的新经济纲领,鉴定实行适度从紧的财政政策,在刺激经济增长的同时大幅度削减财政赤字,取得令人瞩目的成绩。出现了联邦财政支出不断增加,而联邦财政赤字连续大幅度减少甚至到２００２年消灭财政赤字,实现财政预算盈余的良好发展势头。文中认为,正是由于传变了政府宏观经济政策的指导思想和理论基础,实行松紧搭     

Pricing and hedging options with GARCH-stable proxy volatilities

This article considers modelling nonnormality in return with stable Paretian (SP) innovations in generalized autoregressive conditional heteroskedasticity (GARCH), exponential generalized autoregressive conditional heteroskedasticity (EGARCH) and Glosten-Jagannathan-Runkle generalized autoregressive conditional heteroskedasticity (GJR-GARCH) volatility dynamics. The forecasted volatilities from these dynamics have been used as a proxy to the volatility parameter of the Black–Scholes (BS) model. The performance of these proxy-BS models has been compared with the performance of the BS model of constant volatility. Using a cross section of S&P500 options data, we find that EGARCH volatility forecast with SP innovations is an excellent proxy to BS constant volatility in terms of pricing. We find improved performance of hedging for an illustrative option portfolio. We also find better performance of spectral risk measure (SRM) than value-at-risk (VaR) and expected shortfall (ES) in estimating option portfolio risk in case of the proxy-BS models under SP innovations.

Abbreviation: generalized autoregressive conditional heteroskedasticity (GARCH), exponential generalized autoregressive conditional heteroskedasticity (EGARCH) and Glosten-Jagannathan-Runkle generalized autoregressive conditional heteroskedasticity (GJR-GARCH)     

Long memory in volatilities of German stock returns

We show that there is strong evidence of long-range dependence in the volatilities of several German stock returns. This will be done by applying a method using the difference of the classical log-periodogram regression estimator for the memory parameter and of the tapered periodogram based estimator. Both estimators give similar values for the memory parameter for each series and this indicates long memory. To support our findings we apply also a methodology using the sample variance and a wavelet based estimator to the data. Also these two methods show clear evidence of long-range dependence in the volatilities of German stock returns.First version received: December 2001/Final version received: March 2003The computational assistance of Eleni Mitropoulou and Björn Stollenwerck as well as the helpful comments of two unknown referees are gratefully acknowledged. Research supported by Deutsche Forschungsgemeinschaft under SFB 475. Stock returns were obtained from Deutsche Finanzdatenbank (DFDB), Karlsruhe.     

Regime dependent volatilities and correlation in international securitized real estate markets

This paper studies the role of regime shifts and time-varying volatilities in market integration in a Markov-switching volatility regime environment among the US, European and Asian developed securitized real estate markets. With a two-state volatility model, the study finds the co-dependence, co-movement and synchronization of volatility regime at the high volatility state are stronger between the US and European securitized real estate markets. Although correlations among the markets are higher in a high volatility regime than in a low volatility regime, there is limited evidence of contagious effects during the high volatility periods between some markets. Moreover, the unsecuritized real estate markets are different from their securitized equivalent in the volatility regime characteristics, correlation pattern and level, as well as the extent of correlation change and contagion effect in high volatility state. Thus, the regime-switching results from stock markets may not be automatically extended to the corresponding public real estate markets, and requires rigorous empirical scrutiny.     

Dynamic frequency connectedness between oil and natural gas volatilities

The goal of this paper is twofold. First, we study dynamic volatility connectedness between oil and natural gas over the period 1994 to 2018. Second, we examine the frequency dynamics of the transmission mechanism arising from frequency-specific responses to volatility shocks. To do so, we adopt a newly introduced approach that decomposes connectedness measures based on variance decompositions into their components at different frequency ranges. Our results summarize as follows: (a) there is a substantial variation in volatility spillovers over time; (b) the natural gas market was a net transmitter during the central part of our sample period; (c) the magnitude of spillovers was smaller after the financial crisis, but volatilities are not decoupled. (d) The volatility propagation mechanism is frequency dependent. Connectedness is typically created at low-frequencies, with volatility shocks across markets having long-lasting effects. However, during some specific periods, such as after Katrina, volatility was transmitted much faster, with shocks dissipating in the short-run.     

The China factor in recent global commodity price and shipping freight volatilities

This paper attempts an investigation of the impact of the China factor on the global commodity and ocean shipping freight volatilities in recent years. It measures China's contribution to the incremental growth in demand for selected bulk commodities and ocean shipping in the world. China's impact on price volatilities is statistically analyzed through a conventional econometric framework.     

Foreign output shocks,monetary rules and macroeconomic volatilities in small open economies

The 2008 financial crisis is marked by the drop in output of major industrial countries which affected small open economies in various degrees. We examine the role of three different types of monetary policy rules in mitigating or exacerbating the effects of a negative foreign output shock on key macroeconomic variables of a small open economy by numerically solving a dynamic stochastic general equilibrium (DSGE) model. We find that compared to the Taylor rule, small open economies that follow either fixed exchange rate regime or strict inflation targeting tend to stabilize real exchange rate and inflation at the expense of substantial instability in the real economy.     

An empirical analysis of currency volatilities during the recent global financial crisis

This paper investigates the impact of the 2008–2009 global financial crisis on the co-movement of 16 currencies in the sample. It employs a two-step atheoretic empirical methodology; it i) applies change point estimation based on geometric Brownian motion to detect change points in volatilities and ii) applies Engle's (2002) dynamic conditional correlation (DCCR) approach to estimate time varying correlations and then, observes the behavior of volatility co-movements during the periods found in (i). The results show that volatilities increase at least twofold with the outbreak of the crisis and there is an inverse relationship between volatility and the duration of the crisis. The DCCRs usually increase with the onset of the crisis and they fluctuate smoothly afterwards while keeping that increased level.     

Valuation of patents in emerging economies: a renewal model-based study of Indian patents

ABSTRACT

This study uses patent renewal information to estimate the private value of patents. Patent value refers to the economic reward that the inventor extracts from commercialising the patented invention. Our empirical analysis comprises 555 patents with applications filed between 1999 and 2002. The term of these patents either ended in 2018 or lapsed due to non-payment of the renewal fee. We model the renewal decision of patentee as ordered probit where patent renewal fee increases with the age of the patent. Variables, such as patent family size, technological scope, number of inventors and grant lag, are used as explanatory variables in the corresponding regression. Hence, this paper combines the patentee’s renewal decision along with patents’ characteristics and renewal cost schedule to estimate the initial rent distribution. We find that a large number of patents expire at an early stage leaving few patents with high value corroborating the results of studies using European, American and Chinese data. As expected, patents from certain technology class enjoy high valuation.     

A common factor of stochastic volatilities between oil and commodity prices

This article analyses the multivariate stochastic volatilities (SVs) with a common factor influencing volatilities in the prices of crude oil and agricultural commodities, used for both biofuel and nonbiofuel purposes. Modelling the volatility is crucial because the volatility is an important variable for asset allocation, risk management and derivative pricing. We develop a SV model comprising a latent common volatility factor with two asymptotic regimes with a smooth transition between them. In contrast to conventional volatility models, SVs are generated by the logistic transformation of latent factors, which comprise two components: the common volatility factor and an idiosyncratic component. We present a SV model with a common factor for oil, corn and wheat from 8 August 2005 to 10 October 2014, using a Markov chain Monte Carlo method to estimate the SVs and extract the common volatility factor. We find that the volatilities of oil and grain markets are persistent. According to the estimated common volatility factor, high volatility periods match the 2007–2009 recession and the 2007–2008 financial crisis quite well. Finally, the extracted common volatility factor exhibits a distinct pattern.     

The patterns of patents in China

Innovations are a key driver of long-term economic growth. There has been an explosion of patent filings in China in the past three decades. But empirical studies on the pattern of innovations at the firm level are rather scant primarily due to lack of firm-specific patent data. We have made concerted efforts to match Chinese patent data with a large firm-level database. The matched dataset enables us to examine the patterns of patents at the firm level. Our analysis has revealed several interesting patterns: (1) domestic firms have become increasingly more innovative in terms of patent application; (2) private firms, rather than state-owned enterprises, have been the engine of innovation; (3) rising wages have propelled labor-intensive sectors to become more innovative; and (4) in response to increasing sex ratio imbalances, firms in female-intensive industries have exhibited more innovations than those in male-intensive industries.     

电视频道品牌建设的探索与思考

国内电视产业的激烈竞争,推进了各级电视媒体的频道品牌建设。本文从锁定观众、加强与广告主的长期稳定合作、培养知名主持人、打造优秀的制作团队和策划重大活动这五个方面,探索与思考了国内电视频道的品牌建设。     

State of the registered nurse workfore in the United States

In this final installment of this exclusive six-part series on the state of the RN workforce in the United States, the authors summarize the major findings of each piece and offer specific and actionable recommendations for nurse leaders, educators, and policymakers.     

Types of patents and driving forces behind the patent growth in China

As a developing economy, China's unprecedented patenting surge is puzzling. We study China's patent surge and its driving forces using a novel and comprehensive merged dataset on patent applications filed by Chinese firms. We find that R&D investment, FDI, and patent subsidy have different effects on different types of patents. First, R&D investment has a positive and significant impact on patenting activities for all types of patents under different model specifications. Second, the stimulating effect of foreign direct investment on patent applications is only robust for utility model patents and design patents. Third, the patent subsidy only has a positive impact on design patents. The results imply that FDI and patent subsidy may disproportionately spur low-quality patents.     

Sequential R&D and blocking patents in the dynamics of growth

The incentives to conduct basic or applied research play a central role for economic growth. How does increasing early innovation appropriability affect basic research, applied research, innovation and growth? In a common law system an explicitly dynamic macroeconomic analysis is appropriate. This paper analyzes the macroeconomic effects of patent protection by incorporating a two-stage cumulative innovation structure into a quality-ladder growth model with endogenous skill acquisition. We focus on two issues: (a) the over-protection versus the under-protection of intellectual property rights in basic research; (b) the evolution of jurisprudence shaping the bargaining power of the upstream innovators. We show that the dynamic general equilibrium interactions may seriously mislead the empirical assessment of the growth effects of IPR policy: stronger protection of upstream innovation always looks bad in the short- and possibly medium-run. We also provide a simple “rule of thumb” indicator of the basic researcher bargaining power.