Insurance and rural welfare: what can panel data tell us?

Assessing the scope for insurance in rural communities usually requires a structural model of household behaviour under risk. One of the few empirical applications of such models is the study by Rosenzweig and Wolpin (1993 Rosenzweig, MR and Wolpin, K. 1993. Credit market constraints, consumption smoothing, and the accumulation of durable production assets in low-income countries: investment in bullocks in India. Journal of Political Economy, 101: 223–44. [Crossref], [Web of Science ®] , [Google Scholar]) who conclude that Indian farmers in the ICRISAT villages would not benefit from the introduction of formal weather insurance. In this article we investigate how models such as theirs can be estimated from panel data on production and assets. We show that if assets can take only a limited number of values the coefficients of the model cannot be estimated with reasonable precision. We also show that this can affect the conclusion that insurance would not be welfare improving.     

Pursuing the wrong options? Adjustment costs and the relationship between uncertainty and capital accumulation

Abel and Eberly (1999) prove that uncertainty has an ambiguous effect on long run capital accumulation in a real options model. We show that, with adjustment costs quadratic in investment, more uncertainty reduces capital and this effect may be large.     

Why do ICDPs fail?: The relationship between agriculture,hunting and ecotourism in wildlife conservation

We analyze why integrated conservation and development projects (ICDPs) fail to achieve their conservation goals. We develop a bio-economic model of open access habitat and wildlife exploitation, which is consistent with farming and hunting societies living in close proximity to forest reserves in developing countries. We show that the ICDP creates incentives to conserve habitat and wildlife, but socially optimal levels of conservation cannot be achieved, because of externalities among the local communities. We show how a social planner can achieve the socially optimal levels of habitat and wildlife by a more encompassing tax/subsidy regime.     

Segmentation of consumer markets in the US: What do intercity price differences tell us?

We quantify the magnitude of market segmentation in US consumer market and explore the underlying factors behind this segmentation, using a quarterly panel of retail prices for 45 products in 48 US cities from 1985 to 2009. The extent of market segmentation is estimated using city‐pair price differences within the framework of both linear autoregressive (AR) and nonlinear threshold autoregressive (TAR) models. We find that the magnitude of market segmentation varies from one product to another, but even more across city pairs in each product. Contrary to a widespread perception, market segmentation within the US is not necessarily larger for non‐tradable services compared to tradable goods. We identify potential drivers of market segmentation by relating the cross‐city and cross‐product variations of market segmentation to location‐specific and product‐specific characteristics—distance, relative city sizes, differences in wage and rent, type of product and proximity to marketplace. Distance, which captures more than transport costs, turns out to be the most salient factor even after controlling for a range of other potential factors. The effect of distance, however, varies substantially across products, with perishable products and locally produced products showing larger distance effect on market segmentation. We find that the magnitude of market segmentation has been somewhat stable during the sample period, but intercity price differences have become more sensitive to distance over time in many products under study.     

How do entrepreneurs know what to do? learning and organizing in new ventures

Acquiring the knowledge they need to organize new businesses is a life-long learning process for nascent entrepreneurs, both before and during the organizing process. We argue that creating viable and profitable ventures depends not only on the habits, heuristics, and routines that nascent entrepreneurs have acquired from family, schools, and work careers prior to the startup stage, but also on what they can learn by doing, borrowing, and experimenting during the startup process. Entrepreneurs without effective habits or heuristics, or who have acquired less knowledge or fewer routines, may not be able to learn fast enough from feedback during the startup process to avoid being selected out. We conclude the paper by offering critical questions and a research agenda for learning and organizing in new ventures.     

To what extent do network effects moderate the relationship between social media propagated news and investors’ perceptions?

As a prominent social media tool, Twitter enables prompt dissemination of financial news and information, which can have a substantial impact on investors’ perceptions and decision-making processes. The propagation of financial news and information through Twitter can either positively or negatively affect investors’ perceptions. As per network theory, the impact of information on one's perception and behavior is known as the network effect. Since Twitter is also a network, we tried to contribute more to this theory in this study by considering other factors that can have an impact on the perceptions of investors. We argue that the impact of financial information and news on investors’ perceptions is moderated by other factors such as connectivity, social ties, and network size of the network. To establish the links between them, we considered three key factors in investors’ networks: (1) network connectivity (network structure); (2) social ties circle (friends, family, colleagues); and (3) size of the network (number of contacts). The results of this study indicate that highly connected investors receive more information and hence, the impact of news is derived from the connectivity of investors within the network. The findings of the study also show that the social ties circle plays a crucial role in determining the impact of the news. The findings further indicate that the impact of news on investors’ perceptions also depends on the theme of the news.     

How strong is the causal relationship between globalization and energy consumption in developed economies? A country-specific time-series and panel analysis

We examine the causal relationship between globalization, economic growth and energy consumption for 25 developed economies using both time series and panel data techniques for the period 1970–2014. Due to the presence of cross-sectional dependence in the panel (countries from Asia, North America, Western Europe and Oceania), we employ the cross-sectional augmented IPS test to ascertain unit root properties. The cointegration test results indicate the presence of a long-run association between globalization, economic growth and energy consumption. Long-run heterogeneous panel elasticities are estimated through the common correlated effects mean group estimator and the augmented mean group estimator. The empirical results reveal that, for most countries, globalization increases energy consumption. In the USA and UK, globalization is negatively correlated with energy consumption. The causality analysis indicates the presence of the globalization-driven energy consumption hypothesis. This empirical analysis suggests insightful policy guidelines for policy makers using globalization as an economic tool to utilize energy efficiently for sustainable economic development in the long run.     

The inter‐relationship between capital structure and dividend policy: empirical evidence from Jordanian data

The study investigates the under‐researched relationship between capital structure and dividend policy in emerging markets with regard to the Jordanian market. The empirical analysis focuses on the estimation of both single equation models and structure equation models using the reduced form equations to examine the joint determinants of capital structure and dividend policy. The study investigates whether capital structure and dividend policy theories can explain the financial decisions in emerging market such as the Jordanian market. Namely, the study examines agency theory, signalling theory, pecking order theory and bankruptcy theory. The results indicate that there is a positive relationship between debt‐to‐asset ratio on the one hand, and asset tangibility, profitability, market‐to‐book, liquidity, firm size, and industry classification on the other hand. Also, there is a negative relationship between debt‐to‐asset ratio and profitability. In addition, there is a positive relationship between dividend payout ratio on the one hand, and profitability, asset tangibility, market‐to‐book and industry classification on the other hand. Finally, the results of the reduced form equations show that capital structure and dividend policy have the following common factors: profitability; asset tangibility; market‐to‐book; industry classification; and limited evidence of institutional ownership. Therefore, the determinants of capital structure and dividend policy in emerging markets such as the Jordanian market share the same set of suggested factors with the developed markets.     

The nursing informatics workforce: who are they and what do they do?

Nursing informatics has evolved into an integral part of health care delivery and a differentiating factor in the selection, implementation, and evaluation of health IT that supports safe, high-quality, patient-centric care. New nursing informatics workforce data reveal changing dynamics in clinical experience, job responsibilities, applications, barriers to success, information, and compensation and benefits. In addition to the more traditional informatics nurse role, a new position has begun to emerge in the health care C-suite with the introduction of the chief nursing informatics officer (CNIO). The CNIO is the senior informatics nurse guiding the implementation and optimization of HIT systems for an organization. With their fused clinical and informatics background, informatics nurses and CNIOs are uniquely positioned to help with "meaningful use" initiatives which are so important to changing the face of health care in the United States.     

Measuring the effectiveness of cost and price competitiveness in external rebalancing of euro area countries: What do alternative HCIs tell us?

This study examines the marginal effects of traditional determinants of exports and imports with a focus on the role of price competitiveness in restoring external balances in the euro area. It is a first attempt to compare marginal effects of various harmonised competitiveness indicators (HCIs) on both exports and imports of both goods and services across individual euro area countries. We find evidence that HCIs based on broader cost and price measures have a larger marginal effect (with some exceptions) on exports of goods. Exports of services are sensitive to HCIs in big euro area countries and Slovakia, where exports of services are also found more sensitive to competitiveness indicators based on broader price measures. Imports of goods and imports of services are quite insensitive to changes in relative prices. Finally, in some cases measures of fit indicate that a large unexplained residual part is present, implying that other non-price related factors might play an important role in driving foreign trade and policies aimed at enhancing the quality of goods traded are warranted.     

The relationship between trading activity and stock market volatility: Does the volume threshold matter?

This paper examines whether trading activity conveys valuable information about changes in market volatility dynamics. We use a modelling framework, in which the market smoothly switches from one state to another, according to the volume level. Results show that large volume drives the high volatility regime for most of the markets, quite consistently with the disagreement-in-beliefs hypothesis. The volume decomposition into normal trading activity and surprising information arrival reveals a reverse threshold linkage for emerging markets. Results support the sequential information arrival hypothesis and highlight the key role of asymmetric information and thin trading in modelling the volume-volatility relationship. The proposed volume-based models provide significant forecast improvements over competing models and offer scope for investors to earn substantial profits.     

Reexamining the relationship between inflation and growth: Do institutions matter in developing countries?

Using a large panel of countries during the period 1950–2009, we estimate the inflation thresholds above which its association with economic growth is expected to be negative, taking into account differences in institutions across countries. First, in line with previous literature, we find that the estimated threshold is substantially higher for developing countries compared to that of developed countries. However, we further show that the inflation threshold in developing economies falls when we consider reduced groups that exceed certain levels of institutional quality. We also find that the cost of inflation increases with the quality of institutions.     

Human capital and income inequality in India: is there a non-linear and asymmetric relationship?

The article attempts to provide empirical evidence on the relationship between human capital and income inequality in India in a non-linear and asymmetric framework. To capture both long-run and short-run asymmetries, we have employed the non-linear autoregressive distributed lag approach using the relevant data from 1970 to 2016. Findings of the article suggest that education expansion acts as a major factor in reducing prevailing high income inequality, that is an increase in average years of schooling results in more equal distribution of income. In contrast, high economic growth, inflation and trade openness create unequal distribution of income. The asymmetric causality test results indicate that there is unidirectional causality running from female human capital, economic growth and inflation to income inequality. From a policy perspective, we suggest that education expansion should be used as a powerful tool to mitigate income inequality by emphasizing the quality of education. At the same time, policies geared towards social benefits, inclusive education, training for unskilled workers and price stability should be encouraged to attain fair income distribution in India.     

Financial market fragmentation and monetary transmission in the euro area: what do we know?

We provide a survey on the literature examining financial market fragmentation in the euro area and discuss the policy options how to reduce it. The fragmentation has increased markedly since the outbreak of the global financial crisis in 2007. It declined somewhat from late 2012 onwards, but is still above the pre-crisis level. Interest rate pass-through has become less efficient primarily because of increased mark-ups and, to a certain extent, the lower responsiveness of bank interest rates to policy rates. The effectiveness of interest rate pass-through has become more heterogeneous across euro area countries, making a common monetary policy more difficult. The unconventional monetary policy conducted by the European Central Bank has reduced financial market fragmentation notably; however, this policy was not without side effects. Enhancing financial and fiscal stability in the euro area is key for the efficient functioning of the monetary transmission mechanism.     

Determinants of the global and regional CO2 emissions: What causes what and where?

Using the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model and an unbalanced panel dataset of 128 countries covering 1990–2014, this study aims to examine the key impact factors (KIFs) of the global and regional carbon dioxide (CO₂) emissions and analyse the effectiveness of non-renewable and renewable energies. Given the potential cross-sectional dependence and slope heterogeneity, a series of econometric techniques allowing for cross-sectional dependence and slope heterogeneity is applied. The overall estimations imply that the KIFs at the global level are economic growth, followed by population size, non-renewable energy, and energy intensity in order of their impacts on CO₂ emissions; conversely, the KIFs at the regional level vary across different regions and estimators. The results also suggest that renewable energy can lead to a decline in CO₂ emissions at the global level. At the regional level, only for two regions (i.e., S. & Cent. America and Europe & Eurasia) renewable energy has a significant and negative effect on CO₂ emissions, which may be affected by the share of renewable energy consumption in the primary energy mix. Finally, the results indicate varied causality relationships among the variables across regions.

Abbreviations: AMG: Augmented mean group; BP: British Petroleum; BRICS: Brazil, Russia, India, China, and South Africa; CCEMG: Common correlated effects mean group; CD: Cross-section dependence; CIPS: Cross-sectionally augmented Im, Pesaran, and Shin; CO₂: Carbon dioxide; PS: Population size; D-H: Dumitrescu-Hurlin; EI: Energy intensity; EU: European Union; EU-5: Germany, France, Italy, Spain, and the United Kingdom; Europe & Eurasia, Europe and Eurasia; GDP: Gross domestic product; IEA: International Energy Agency; KIF: Key impact factor; LM: Lagrange multiplier; Mtoe, Million tonnes oil equivalent; NRE: Non-renewable energy; RE: Renewable energy; S. & Cent. America, South and Central America; STIRPAT: Stochastic Impacts by Regression on Population, Affluence, and Technology; VECM: Vector error correction model; WDI: World Development Indicators     

The 2007 financial crisis and the UK residential housing market: Did the relationship between interest rates and house prices change?

This paper investigates the impact of the 2007 financial crisis on the relationship between real mortgage interest rates and real house prices. It applies a dynamic conditional correlation based methodology that uses fractionally differenced data along with controls for structural breaks and non-interest-rate related factors that influence house prices. The key finding made is that the financial crisis had a long-term structural impact on the monetary transmission relationship. For example, we find that the mean conditional correlation between house prices in England and Wales and the three-year fixed mortgage rate rose by 6.6 percentage points. Similarly, the mean correlation between prices and the standard variable mortgage rate increased 6.4 percentage points to 54%. These findings suggest to us that interest-rate-based monetary policy still has an important role to play in the housing market.     

Local government type and municipal bond ratings: what’s the relationship?

There is an extensive literature analysing the executive branch within local U.S. government jurisdictions. This has largely revolved around the differences between elected mayors and appointed city managers. Much of the academic work has considered the potential efficiency gains that may be associated with either form of government and comparative analyses between the two. However, the empirical literature has been divided regarding the relative efficiency of either form. This article attempts to add to that literature by considering how bond markets may perceive potential efficiencies that emerge from one executive type over the other by evaluating bond ratings for a sample of large municipal governments in the United States. Overall, the results suggest that municipalities headed by a city manager are associated with increased bond ratings (and thus lower borrowing costs), which may lend support that this form of administration is, on some margin, relatively more efficient than others. These results are robust to a number of specifications.     

How do the combined effects of CEO decision horizon and compensation impact the relationship between earnings pressure and R&D retrenchment?

Although relevant literature has been accumulated, how earnings pressure from stock analysts affects a firm's innovation expenditures remains unclear. In order to make this relationship more clear, this study investigates the impact of earnings pressure on a firm's research and development (R&D) investment by considering the combined effects of CEOs’ decision horizon and incentives. Our hypotheses were tested by firms from the S&P 1500 during the period from 2000 to 2012. The findings reveal that earnings pressure has a detrimental effect on a firm's R&D investment, and also that it goes worse when CEOs have a shorter decision horizon. However, when it comes to compensation incentives, we found that either CEOs equipped with higher stock ownership or fewer stock options can reduce the adverse effect of a shorter decision horizon on the relationship between earnings pressure and R&D retrenchment.