Eliciting Willingness to Pay without Bias using Follow-up Certainty Statements: Comparisons between Probably/Definitely and a 10-point Certainty Scale

Correction for hypothetical bias using follow up certainty questions often takes one of two forms: (1) two options, “definitely sure” and “probably sure”, or (2) a 10-point scale with 10 very certain. While both have been successful in eliminating hypothetical bias from estimates of WTP by calibrating based on the certainty of yes responses, little is known about the relationship between the two. The purpose of this paper is to compare the two using data from three field experiments in a private good, dichotomous choice format. We compare four types of yes responses that differ in the criterion used to determine if there is sufficient certainty for a hypothetical yes response to be considered a true yes response. We make several comparisons, but focus on determining which values on the 10-point scale give the same estimates of WTP as “definitely sure” hypothetical yeses and real yeses (actual purchases). Values that produce equivalence are near 10 on the certainty scale.     

Public interest versus regulatory capture in the Swedish electricity market

This article tests the public interest and regulatory capture hypotheses, in the context of the Swedish electricity market, by studying the factors influencing the Swedish Energy Agency’s decision to replace decision-makers it employs to hear customer complaints against utilities. The study covers the period from the beginning of 1996, when a series of regulatory reforms were introduced to improve consumer protection, until the end of 2008. The study concludes that decision-makers who find in favor of customers have had a statistically lower probability of being removed, consistent with public interest theory. A transitory effect of favoring utilities can be observed for the period from 2 to 6 years following the reforms. In this period, government and public scrutiny of the regulator, which had been high in the immediate aftermath of the reforms, had waned and there were few precedents decided by the courts that the regulator was required to follow. This vacuum created an opportunity for the utilities to increase their influence over the regulator. Once the courts started establishing precedents in relatively large numbers, the supervisory role of the courts ensured that the actions of the regulator were scrutinized. This development has served a similar function to government and public scrutiny in the years immediately following the reforms in promoting the public interest.     

The presence of unemployment hysteresis in the OECD: what can we learn from out-of-sample forecasts?

This paper investigates the relevance of unemployment hysteresis in seventeen OECD countries. We employ an out-of-sample forecast exercise in which a mean-reverting autoregressive model is compared to an autoregressive model with an imposed unit root. A substantial difference in forecasting performance between the two models is established for many countries, but the results are mixed in their strength. The evidence for unemployment hysteresis in Austria, Finland, Iceland, Israel, Italy, Japan and Sweden is, however, convincing. For no country can unambiguous support for a mean reverting unemployment rate be found.     

The Effects of Average Norm Model Regulation: The Case of Electricity Distribution in Sweden

Following the reform of energy sectors, some countries have used engineering norm models in incentive regulation of network utilities. In 2003, Sweden adopted this approach to regulation of electricity distribution networks. This paper examines whether the norm models represent the real networks and create incentives for performance improvement. We analyse data from 138 network concession holders between 2000 and 2007. The results show that norm models are not adequate representations of real networks. Also, utilities that perform better than their norm models tend to behave opportunistically. Finally, we find that private utilities respond more strongly to incentives.     

GOVERNMENT SIZE AND GROWTH: A REJOINDER

In our 2011 survey of the literature in the Journal of Economic Surveys on the effect of government size on economic growth in wealthy countries we find a relatively consistent pattern: An increase in government size by 10 percentage points is associated with a 0.5–1 percentage point lower annual growth rate. This conclusion is questioned by Colombier. In this rejoinder we present a rebuttal of Colombier's argument based on a detailed scrutiny of his own statistical evidence and regression results. Furthermore, we note that several new papers that have appeared since our original paper was published give support to our main conclusion.     

GOVERNMENT SIZE AND GROWTH: A SURVEY AND INTERPRETATION OF THE EVIDENCE

Abstract The literature on the relationship between the size of government and economic growth is full of seemingly contradictory findings. This conflict is largely explained by variations in definitions and the countries studied. An alternative approach – of limiting the focus to studies of the relationship in rich countries, measuring government size as total taxes or total expenditure relative to GDP and relying on panel data estimations with variation over time – reveals a more consistent picture. The most recent studies find a significant negative correlation: an increase in government size by 10 percentage points is associated with a 0.5% to 1% lower annual growth rate. We discuss efforts to make sense of this correlation, and note several pitfalls involved in giving it a causal interpretation. Against this background, we discuss two explanations of why several countries with high taxes seem able to enjoy above average growth. One hypothesis is that countries with higher social trust levels are able to develop larger government sectors without harming the economy. Another explanation is that countries with large governments compensate for high taxes and spending by implementing market‐friendly policies in other areas. Both explanations are supported by ongoing research.     

Concept‐Based Bayesian Model Averaging and Growth Empirics

In specifying a regression equation, we need to specify which regressors to include, but also how these regressors are measured. This gives rise to two levels of uncertainty: concepts (level 1) and measurements within each concept (level 2). In this paper we propose a hierarchical weighted least squares (HWALS) method to address these uncertainties. We examine the effects of different growth determinants taking explicit account of the measurement problem in the growth regressions. We find that estimates produced by HWALS provide intuitive and robust explanations. We also consider approximation techniques which are useful when the number of variables is large or when computing time is limited.     

The efficiency of top agents: An analysis through service strategy in tennis

We consider the question whether top tennis players in a top tournament (Wimbledon) employ an optimal (efficient) service strategy. While we show that top players do not, in general, follow an optimal strategy, our principal result is that the estimated inefficiencies are not large: the inefficiency regarding winning a point on service is on average 1.1% for men and 2.0% for women, implying that–by adopting an efficient service strategy–players can (on average) increase the probability of winning a match by 2.4%-points for men and 3.2%-points for women. While the inefficiencies may seem small, the financial consequences for the efficient player at Wimbledon can be substantial: the expected paycheck could rise by 18.7% for men and even by 32.8% for women. We use these findings to shed some light on the question of whether economic agents are successful optimizers.     

Pyrrhic victories – anticipating the closedown effect

Previous studies with empirical evidence on social responsible driven closedowns have identified a productivity increase effect that occurs during the process of organizational closedowns, known as the closedown effect. Our proposition is that this effect can be anticipated as a consequence of a closedown decision. Encountering four different non social responsible closedown cases, of various durations, we statistically test this proposition. Further, we identify a need for an analytical distinction of the phases of the closedown process, in terms of the primary ‘advanced notice period’ and the secondary ‘countdown period’. Based on the analysis, and with this distinction, we are able to conclude that the productivity increase effect can be anticipated during the countdown period. The comparably longer time frame in the Studding case provides the strongest support for our proposition. From the analysis we suggest hypotheses for further research.     

Third-party certification and post-IPO acquisitions

ABSTRACT

We explore the link between third-party certification (venture capital backing, analyst following and having a top underwriter), and post-IPO acquisition activity through the reduction in valuation uncertainty channel. In a sample of 2,424 U.S. IPOs, we find that third-party certification facilitates post-IPO acquisitions. The certified firms are both more likely and conduct acquisitions sooner after the IPO. Our results support the notion that third-party certification reduces post-IPO valuation uncertainty and thereby facilitates a more efficient acquisition strategy.