Pension plan solvency and extreme market movements: a regime switching approach

We develop and test a new approach to assess defined benefit (DB) pension plan solvency risk in the presence of extreme market movements. Our method captures both the ‘fat-tailed’ nature of asset returns and their correlation with discount rate changes. We show that the standard assumption of constant discount rates leads to dramatic underestimation of future projections of pension plan solvency risk. Failing to incorporate leptokurtosis into asset returns also leads to downward biased estimates of risk, but this is less pronounced than the time-varying discount rate effect. Further modifying the model to capture the correlation between asset returns and the discount rate provides additional improvements in the projection of future pension plan solvency. This reduces the perceived future risk of underfunding because of the negative correlation between interest rate changes and asset returns. These results have important implications for those with responsibility for balancing risk against expected return when seeking to improve the current poor funding positions of DB pension schemes.     

Predicting future purchases with the Poisson log-normal model

The negative binomial distribution (NBD) has been widely used in marketing for modeling purchase frequency counts, particularly in packaged goods contexts. A key managerially relevant use of this model is Conditional Trend Analysis (CTA)—a method of benchmarking future sales utilizing the NBD conditional expectation. CTA allows brand managers to identify whether the sales change in a second period is accounted for by previous non-, light, or heavy buyers of the brand. Although a useful tool, the conditional prediction of the NBD suffers from a bias: it under predicts what the period-one non-buyer class will do in period two and over predicts the sales contribution of existing buyers. In addition, the NBD's assumption of a gamma-distributed mean purchase rate lacks theoretical support—it is not possible to explain why a gamma distribution should hold. This paper therefore proposes an alternative model using a log-normal distribution in place of the gamma distribution, hence creating a Poisson log-normal (PLN) distribution. The PLN distribution has a stronger theoretical grounding than the NBD as it has a natural interpretation relying on the central limit theorem. Empirical analysis of brands in multiple categories shows that the PLN distribution gives better predictions than the NBD.     

Remittances and the human capital of children: New evidence from Kyrgyzstan during revolution and financial crisis, 2005–2009

We analyze the effect of the receipt of remittances on the education and health of children in Kyrgyzstan during a volatile period of their recent history, 2005–2009. The country experienced revolution in 2005 and the global financial crisis beginning in 2008. Both events impact human capital investment, and the changes vary by region of the country. We use fixed effects estimation and fixed effects, instrumental variables estimation to isolate the effects of remittances and other events on human capital. We find that boys aged 14–18 in remittances’ receiving households are less likely to be enrolled in school than other children. We also find that girls in remittances’ receiving households are more likely to be malnourished (thin). Both effects are relatively small. Remittances do not improve the human capital of children left behind. However, we do find an overall positive improvement in school enrollment among young children between 2005 and 2009 but a negative trend in enrollment among older boys and girls. Nutrition improves over time. Regional differences are apparent in these trends in nutrition and education.     

How did investor‐state dispute settlement get a bad rap? Blame it on NAFTA,of course

In the short history of the US bilateral investment treaty (BIT) programme, there have been no instances of dispute settlement cases initiated against the United States by firms from BIT countries. The NAFTA experience changed that. Where other studies have only hinted at the reasons for NAFTA controversies, this paper makes clear three causal factors: (i) changing patterns and intensity of FDI, (ii) the application of those rules to developed countries amid those changing FDI patterns and (iii) ambiguities in ISDS rules themselves. The paper explores these and traces the ways in which lessons of the NAFTA have been instrumental in changing the pursuit of investment protection agreements. BITs used to be uncontroversial, but the NAFTA focused attention on reforms to ISDS that maintain the utility of BITs in the governance of FDI, without creating a legal structure for simply challenging the state.     

Firm Heterogeneity and Export Pricing in India

We examine export pricing by Indian manufacturing firms in the early 2000s using a unique data set that matches firm characteristics with product and destination‐level trade data. We find that, in contrast to China and other countries, firm productivity is negatively associated with export prices, and export prices are negatively associated with distance while positively associated with remoteness. Our conjecture is that Indian innovation costs, which are higher than China's, drive down the scope for quality differentiation causing a negative association between productivity and prices. To the best of our knowledge, this is the first empirical evidence consistent with heterogenous goods and short quality ladders, a theoretical possibility noted in the study by Antoniades (2012), an outcome that arises here because of domestic Indian economic and regulatory features.     

Abatement and Allocation in the Pilot Phase of the EU ETS

We use historical industrial emissions data to assess the level of abatement and over-allocation that took place across European countries during the pilot phase (2005–2007) of the European Union Emission Trading Scheme. Using a dynamic panel data model, we estimate the counter factual (business-as-usual) emissions scenario for EU member states. Comparing this baseline to allocated and verified emissions, we find that both over-allocation and abatement occurred, along with under-allocation and emissions inflation. Over the three trading years of the pilot phase we find over-allocation of approximately 280 million EUAs and total abatement of 247 Mt CO₂. However, we calculate that emissions inflation of approximately 73 Mt CO₂ also occurred, possibly due to uncertainty about future policy design features.