Value Relevance of Comprehensive Income

In this paper, we investigate the value relevance of comprehensive income and its components for a sample of 92 New Zealand companies over the period 2003–2010. We find a stronger association of aggregate comprehensive income with stock price and market returns relative to net income. The change in the asset revaluation reserve and the change in fair value of available‐for‐sale securities drive this association. However, foreign currency translation and cash flow hedges are also associated with prices and returns.     

Similarity of differential information with subjective prior beliefs

We present a complete, separable and metrizable topology on the product space of information and (subjective) beliefs. Such a topology formalizes similarity of differential information without the assumption of a common prior, but under the assumption that objectively impossible events are considered impossible by subjective beliefs. As an application to the theory of the consumer, we provide results on the continuity of expected utility and demand functions. We also provide continuity results for the value of information and the insurance premium as defined in the literature.     

Terrorist economic impact evaluation (TEIE) model: the case of Pakistan

Quality & Quantity - The terrorist economic impact evaluation (TEIE) model is a new model to evaluate the intensity of terrorism to measure the economic cost in a state (province) of any...     

Consumer substitution decisions: an integrative framework

Substitution decisions have been examined from a variety of perspectives. The economics literature measures cross-price elasticity, operations research models optimal assortments, the psychology literature studies goals in conflict, and marketing research has examined substitution-in-use, brand switching, stockouts, and self-control. We integrate these perspectives into a common framework for understanding consumer substitution decisions; their specific drivers (availability of new alternatives, internal vs. external restrictions on choice); the moderating role of a consumer’s commitment to an initially desired alternative; and the affective, motivational, cognitive, and behavioral outcomes of substitution. We use this framework to recommend new avenues for research.     

Political instability and inflation in Pakistan

This study investigates the effects of political instability on inflation in Pakistan. Applying the Generalized Method of Moments technique and using data from 1951 to 2007, we examine this link through two different models. The results of the ‘monetary’ model suggest that the effects of monetary determinants are rather marginal and that they depend upon the political environment of Pakistan. The ‘nonmonetary’ model's findings explicitly establish a positive association between political instability and inflation. This is further confirmed through analysis based on interactive dummies that reveal political instability significantly leading to high (above average) inflation.     

Is Trade Liberalisation Pro-Poor in Pakistan? Evidence from Large-Scale Manufacturing

This article aims to analyse the impact of industry-level trade liberalisation (measured through industry-specific tariff rates) on poverty in Pakistan. Combining data for tariff rates with the Labour Force Survey of Pakistan, we use quantile regression analysis to estimate the impact of changes in tariff rates on workers’ wages (associated with the manufacturing sector of Pakistan) that are at different points of the income distribution. Our findings meaningfully signal that trade liberalisation helps to reduce poverty in the economy. Based on these results, this study provides policy recommendations to reap maximum benefits from trade liberalisation.     

Investment shocks and the comovement problem

Recent work based on sticky price-wage estimated dynamic stochastic general equilibrium (DSGE) models suggests investment shocks are the most important drivers of post-World War II US business cycles. Consumption, however, typically falls after an investment shock. This finding sits oddly with the observed business cycle comovement where consumption, along with hours-worked and investment, moves with economic activity. We show that this comovement problem is resolved in an estimated DSGE model when (i) the cost of capital utilization is specified in terms of increased depreciation of capital, as originally proposed by Greenwood et al. (1988) in a neoclassical setting, or (ii) there is no wealth effect on labor supply. The data, however, favors the first channel. Traditionally, the cost of utilization is specified in terms of forgone consumption following Christiano et al. (2005), who studied the effects of monetary policy shocks. The alternative specification we consider has two additional implications relative to the traditional one: (i) it has a substantially better fit with the data and (ii) the contribution of investment shocks to the variance of consumption is over three times larger. The contributions to output, investment, and hours, are also relatively higher, suggesting that these shocks may be quantitatively even more important than previous estimates based on the traditional specification.     

Productivity impacts of infrastructure development in Asia

This study investigates the impact of infrastructure capital on total factor productivity in selected Asian countries. The scope of the assessment is broadened by exploring the effect of infrastructure development on sectoral differences in total factor productivity. The study calculated the total factor productivity over the period 2006–2016 for 16 manufacturing industries in 19 Asian countries. Further, the impact of lagged infrastructure and endowment is also explored with an eye toward improving different infrastructural measures. The empirical findings show that lagged infrastructure and endowment exert a positive and significant impact on infrastructural improvement. The impact of telecommunications, road, and power infrastructure on sectoral productivity is investigated by applying the fully modified ordinary least squares estimation technique to control the endogeneity problem associated with infrastructure provision. Overall, the empirical findings show that infrastructure provision, particularly the provision of telecommunications and power, is an important factor for explaining patterns of comparative advantage, whereas the provision of roads is important to explain patterns of absolute advantage. The results further indicate that road infrastructure is more important for low technology-intensive industries, while power infrastructure is crucial for high technology-intensive industries.