Giving Stated Preference Respondents “Time to Think”: Results From Four Countries

Previous studies have found that contingent valuation (CV) respondents who are given overnight to reflect on a CV scenario have 30–40% lower average willingness-to-pay (WTP) than respondents who are interviewed in a single session. This “time to think” (TTT) effect could explain much of the gap between real and hypothetical WTP observed in experimental studies. Yet giving time to think is still rare in binary or multinomial discrete choice studies. We review the literature on increasing survey respondents’ opportunities to reflect on their answers and synthesize results from parallel TTT studies on private vaccine demand in four countries. Across all four countries, we find robust and consistent evidence from both raw data and multivariate models for a TTT effect: giving respondents overnight to think reduced the probability that a respondent said he or she would buy the hypothetical vaccines. Average WTP fell approximately 40%. Respondents with time to think were also more certain of their answers, and a majority said they used the opportunity to consult with their spouse or family. We conclude with a discussion of why researchers might be hesitant to adopt the TTT methodology.     

Was the emergence of the international gold standard expected? Evidence from Indian Government securities

The emergence of the gold standard has for a long time been viewed as inevitable. We analyze agents' expectations using the spread between gold and silver bonds issued by the Indian government. We find that bimetallism was credible until France surprised markets by suspending domestic operation of bimetallism, triggering a run away from silver. Thereafter, markets began demanding a premium to hold silver bonds, indicating their belief that silver would depreciate in the future as more countries moved on gold.     

Forecasting the Yen/U.S. Dollar exchange rate: Empirical evidence from a capital enhanced relative PPP-based model

This study uses a relative purchasing power parity (PPP) model based on price indexes (consumer, CPI or traded-goods price indexes, TPI), interest rate differentials, and a linear forecasting technique to determine the horizon over which such a model outperforms a random walk in forecasting the Yen/U.S. Dollar exchange rates out-of-sample. The results improve if one adjusts a simple CPI-based PPP-model by interest rate differentials, while the best results are obtained using a TPI-based PPP-model. For example, the TPI-based model, adjusted by interest rate differentials, is able to statistically significantly outperform the pure random walk starting at forecast horizons of 1 month.     

Rare Earths in the Trade Dispute Between the US and China: A Déjà Vu

Intereconomics - The trade dispute between the US and China has reached a point where export restrictions on rare earths have become a possible means for sanction. This contribution provides a...     

The value relevance of comprehensive income under alternative presentation formats permitted by ASU 2011-05

Review of Quantitative Finance and Accounting - Under Accounting Standards Update 2011-05, firms can present comprehensive income (CI), defined as the sum of net income (NI) and other comprehensive...     

Doorsteps Toward Political and Economic Openness: Testing the North-Wallis-Weingast Transition Framework

In this paper, we test the theoretical framework developed by North, Wallis, and Weingast (2009), who posit that limited-access societies need to meet three doorstep conditions before they can transit into open-access societies: (1) establishment of rule of law among elites, (2) adoption of perpetually existing organizations, and (3) political control of the military. We identify indicators reflecting these doorsteps and econometrically test their relationships with specific political and economic variables. We broadly confirm the logic behind the doorsteps as necessary conditions in the transition to open-access societies. The doorsteps influence economic and political processes, as well as each other, with varying intensities.     

Inequality‐averse well‐being measurement

We construct individual well‐being measures that respect individual preferences and depend on the bundles of goods consumed by the individual. Building on previous work in which general families of well‐being measures are identified, we introduce basic transfer principles that apply either to bundles or directly to indifference sets, and we characterize specific well‐being measures that involve either the ray utility or the money‐metric utility.     

Central Bank Actions and Words: The Intraday Effects of FOMC Policy Communications on Individual Equity Volatility and Returns

We compare intraday impacts of the release of Federal Reserve decision announcements and of Federal Open Market Committee minutes between 2004 and 2015 on 1,997 equity return and volatility series. We find that returns are unresponsive to either news release, but conditional volatility increases for both, manifesting immediately after each information release, and persisting for 30 minutes post‐announcement. These effects are larger for decisions than for minutes. On stratifying firms by trading intensity, we find most “high trading intensity” firms respond to these announcements, while “low trading intensity” firms are less affected. Our results show that traders respond, albeit differently, to both sets of information releases.     

Physical and Economic Consequences of Sea-Level Rise: A Coupled GIS and CGE Analysis Under Uncertainties

This paper develops a modelling framework that links GEMINI-E3, a multi-regional, multi-sectoral computable general equilibrium model with a cost-benefit analysis approach at local level using geographical information system tools to assess the physical and economic consequences of sea-level rise (SLR) in the twenty first century. A set of future scenarios is developed spanning the uncertainties related to global warming, the parameters of semi-empirical SLR estimates, and coastal developments (cropland, urban areas and population). The importance of incorporating uncertainties regarding coastal development is highlighted. The simulation results suggest that the potential development of future coastal areas is a greater source of uncertainty than the parameters of SLR itself in terms of the economic consequences of SLR. At global level, the economic impact of SLR could be significant when loss of productive land along with loss of capital and forced displacement of populations are considered. Furthermore, highly urbanised and densely populated coastal areas of South East Asia, Australia and New Zealand are likely to suffer significantly if no protective measures are taken. Hence, it is suggested that coastal areas needs to be protected to ameliorate the overall welfare cost across various regions.