International Productivity Differences and the Roles of Domestic Investment,FDI and Trade

This paper calculates Theil's entropy index to measure the extent of productivity differences across 92 countries for the period from 1970 to 2003. While there is evidence of increasing differences in productivity across these countries, we observe different patterns when we group the countries by income levels. These differences seem to be decreasing among middle income developing and developed countries, whereas they seem to be widening among low and high income developing countries. The results of our multivariate time series analysis also suggest that FDI increases productivity differences among low and high income developing countries, whereas GDI reduces these differences among low income countries in the long-run. Granger causality test results indicate that while an increase in GDI leads to a decline in growth of trade, a higher growth of trade appears to be important for attracting FDI to middle income countries. Furthermore, a reduction in productivity differences and a higher FDI growth lead to higher growth of trade in developed countries.     

On preferences with infinitely many subjective states

Models with subjective state spaces have been extremely useful in capturing novel psychological phenomena that consist of both a preference for flexibility and for commitment. Interpreting the utility representations of preferences as capturing these phenomena requires one to use the notion of a sign of a state. For linear preferences, we completely characterise the sign of a state in terms of its analytic representation as an integral with respect to a signed measure. In models with finitely many states, a state is either positive or negative, but never both. We show that in models with infinitely many states, a state can be both positive and negative. Thus, models with finitely many states may not capture all the behavioural features of an infinite model. Our methods are also useful in constructing utility functionals over menus with desired local properties.     

Strategic loan modification: An options-based response to strategic default

This paper presents a parsimonious barrier model for the optimal principal reset in a loan modification, thereby maximizing the loan value to the lender bank and minimizing the likelihood of strategic foreclosure by the homeowner. Writing down the loan-to-value (LTV) ratio will reduce the present value of future payments on the loan, but will also reduce the probability of default, thereby saving foreclosure losses. The optimal trade-off of these two countervailing effects will pinpoint the optimal LTV at which the loan must be reset. We present a simple barrier option decomposition of the loan value that makes the optimization of LTV easy to implement. An extension of the model is shown to account for varying growth rate assumptions about house prices. The model in this paper specifically accounts for the homeowner’s willingness to pay, and uses the framework to model shared-appreciation mortgages (SAMs).     

Integration of South Asian Economies: an exercise in frustration?

This paper examines the factors underlying the slow progress towards economic integration between the countries of the South Asian region, and discusses the worth and likelihood of an effective agreement. It is argued that substantial integration will only take place after further economic growth leads to increased complementarity in their economic structures.     

Macroeconomic impacts of remittances in Bangladesh: The role of reverse flows

Das and Serieux (2010; 2015) and Serieux (2011) used the term “reverse flows” to define the part of external resources that is not domestically absorbed; instead used to finance debt obligations, capital flight, and accumulate reserves. While there is a vast literature on the growth and development impact of remittances in developing countries, the existing empirical literature has mostly ignored the potential diversion of remittances to reverse flows. This paper bridges the gap in the literature by estimating the reverse flows in the case of Bangladesh, which is one of the top remittance recipient countries in the world. The data set runs from 1976 to 2015. Econometric results obtained by employing the Autoregressive Distributed Lag (ARDL) approach show that almost 13–14% of remittances (as the ratio of gross domestic product, GDP) are diverted to finance reverse flows. In other words, the effects of remittances (as the ratio of GDP) on consumption and investment rates are no more than 86–87%. Therefore, the underlying assumption made in the existing literature that all remittances are used to increase consumption and/or investment overstates the impact of this external resource flow in Bangladesh. Findings from this study have important policy implications not only for Bangladesh but for other remittance recipient developing countries. Our findings will help the government to design policies to ensure the optimum allocation of remittances in the domestic economy.     

Accuracy, Bias, and Dispersion in Analysts' Earnings Forecasts: The Case of Cross-Listed Foreign Firms

This paper examines differences in analysts' earnings forecast characteristics for foreign incorporated non-U.S. firms cross-listed in the U.S. stock markets relative to a control sample of purely domestic firms. Examining summary earnings forecasts over the calendar years 1984 through 1989, this paper provides evidence that there are statistically significant differences in bias and accuracy between domestic and cross-listed foreign firms. Consistent with prior research, we find a horizon effect in accuracy; i.e., accuracy improves as we get closer to the actual earnings announcement for both types of firms. However, the differences in accuracy between the cross-listed and domestic firms persist only in the earlier forecast horizons where analysts' forecasts are less accurate for foreign cross-listed firms compared with domestic firms. The evidence is also consistent with analysts' exhibiting less optimism with respect to cross-listed foreign firms compared with the domestic firms. Finally, the paper also documents that there is a greater consensus among analysts for foreign cross-listed firms than for domestic firms.     

Estimating the recreational value of Pakistan's largest freshwater lake to support sustainable tourism management using a travel cost model

Keenjhar Lake, Pakistan's largest freshwater lake and an important Ramsar site, provides habitat for internationally important water birds. Annually, 385,000 people visit the lake. The lake is threatened by a variety of causes, including industrial and agricultural pollution. To support its sustainable management and conservation, the lake's recreational value is estimated using an individual travel cost model. Randomly selected visitors are interviewed during peak season about their recreational travel behavior and perception of lake conditions. Key issues in travel cost modeling are addressed, including the opportunity cost of time, group travel, substitution and income effects, and endogenous stratification and truncation due to on-site sampling. Poisson and negative binomial regression models produce similar results. We find significant over-dispersion, and therefore, use the more conservative truncated negative binomial model results to estimate consumer surplus. The value of this assessment method for resource managers is illustrated by comparing the consumer surplus with existing pricing and budgeting mechanisms. The annual flow of benefits from lake recreation appears to be almost 50 times higher than the average entrance fee paid by the predominantly higher-income segments visiting the lake, suggesting scope for increasing fees and reallocating government budgets to finance the necessary lake protection measures.     

Cognitive Biases and Strategic Decision Processes: An Integrative Perspective

Previous studies have not adequately addressed the role of cognitive biases in strategic decision processes. In this article we suggest that cognitive biases are systematically associated with strategic decision processes. Different decision processes tend to accentuate particular types of cognitive bias. We develop an integrative framework to explore the presence of four basic types of cognitive bias under five different modes of decision making. The cognitive biases include prior hypotheses and focusing on limited targets, exposure to limited alternatives, insensitivity to outcome probabilities and illusion of manageability. The five modes of strategic decision making are rational, avoidance, logical incrementalist, political and garbage can. We suggest a number of key propositions to facilitate empirical testing of the various contingent relationships implicit in the framework. Lastly, we discuss the implications of this framework for research and managerial practice.