Does don't know mean no? Analysis of 'don't know' responses in dichotomous choice contingent valuation questions

The ‘don't know’ response option in contingent valuation dichotomous choice questions is analysed using data from both willingness to pay and willingness to accept studies. An empirical analysis is conducted to determine whether respondents are stating a response similar to yes or no responses or a middle response. It is found that don't know responses are similar to no responses in the willingness to pay study. In the willingness to accept study, it is found that the ‘don't know’ responses are similar to a middle response. It is further suggested that researchers consider calculating ambivalence bounds when a don't know response is a middle response.     

Do cheaters in the lab also cheat in the field?

In this paper, we study the correlation between cheating in the lab and cheating in the field. We conduct a laboratory experiment using a variant of the Mind game (Jiang, 2013). Payoffs above a certain threshold are indicative of cheating behavior. Subjects are paid their earnings by bank transfer. A fraction of the subjects is deliberately paid more than their earnings. We send subjects a reminder e-mail stating their earnings and asking them if they have received their payment. We find a significant correlation of 0.31 between cheating in the lab and in the field. Subjects with higher payoffs in the Mind game are also less likely to report the overpayment. Our results speak to the lab-field generalizability of cheating behavior.     

On the incentive effects of monitoring: evidence from the lab and the field

Several experimental studies have shown that the crowding-out effect of monitoring may outweigh its disciplining effect through intrinsic motivation destruction, thereby reducing effort. However, most of these experiments use numeric effort tasks that subjects may not be intrinsically motivated to complete. This paper aims to analyze the incentive effects of monitoring using a real-effort task for which intrinsic motivation is more likely to exist. We conducted two similar experiments, in the lab in Montreal and in the field in Ouagadougou. In contrast to the lab, subjects in the field are unaware they are taking part in an experiment.     

Do population age groups matter in the energy use of the oil-exporting countries?

This study examines the impacts of the population age groups of 20–34, 35–49, 50–64 and 65–79 on the per capita energy use of the oil-exporting countries of Commonwealth Independent States: Azerbaijan, Kazakhstan and Russia employing the modified-STIRPAT framework. Considering that estimations using non-stationary data may yield spurious results, unlike many prior STIRPAT studies, we explore integration and cointegration properties of the data and then estimate long- and short-run elasticities as well as speed of adjustment coefficients. Since our time series analysis covers only 23 observations (1990-2012), as a robustness check, we also conduct panel data analysis by pooling the mentioned countries data with that for members of Organization of Petroleum Exporting Countries. We apply the Autoregressive Distributed Lags Bounds Testing approach in the time series analysis and Pooled Mean Group estimator in the panel analysis, both are superior in small samples. The findings from the time series analysis are supported by those from the panel data analysis. According to the results, there is cointegrated relationship among the variables. The age groups together with affluence and oil prices have statistically significant impacts on the per capita energy use in the selected countries. Moreover, we find the speed of adjustments exhibiting different magnitudes for different countries depending on which population age group is considered. The findings suggest that policymakers should pay special attention to the population age groups of 35–49 and 50–64, as they have a large effect on per capita energy use. Since these groups are the main part of the working age population, increase in their energy consumption is likely to lead to economic growth. Furthermore, the policymakers should take into consideration the finding that speed of adjustments towards an equilibrium path is quite high. It implies that any policy related shocks to the per capita energy use relationship could disappear within a year or even sooner.     

Opportunity costs in buying and short selling—Do they really matter?

The experimental results of the paper reveal that people do not take into consideration opportunity costs or opportunity profits when buying and short selling lottery tickets. These results are inconsistent with basic economic and finance theories.     

Economic rents in franchising: Do they exist?

This work demonstrates the very existence of economic rents in franchising using, for the first time, the franchisees’ actual financial statements. This finding makes franchising more appealing for applicants and supports the hypothesis that rents are efficient devices to motivate franchisees.     

Testing theories of reciprocity: Do motivations matter?

One of the key issues for understanding reciprocity is how agents evaluate the kindness of an action. In this paper we investigate experimentally the hypothesis that the motivation driving an action is relevant for its perceived kindness and, as a consequence, for reciprocal behavior. In particular, we examine the hypothesis that, for a given distributional outcome, positive reciprocity is less strong in response to strategically motivated actions than to non-strategically motivated actions. Our results indicate that, both at the aggregate and the individual level, reciprocity is significantly stronger when strategic motivations can be ruled out. These findings suggest that intentions matter and, in particular, that models of intention-based reciprocity should take into account the nature of the motivations behind choices.     

Does illiquidity matter in residential properties?

No, it does not, despite the general perception that illiquidity matters in real estate. As expected, our evidence shows that the illiquidity costs for the U.S. residential properties are large. The costs are equivalent to 12% of the total property returns on average, ranging from 9.5% to 29.5% of property prices depending on the illiquidity level and market conditions. However, when amortized by holding periods, monthly illiquidity costs are on average 0.08%, and illiquidity risk does not appear to be priced in residential properties; illiquid properties do not show higher returns than liquid properties. On the contrary, we find evidence of flight-to-quality in bull markets, that is, high-quality illiquid properties are preferred to low-quality liquid properties in buoyant markets. These results are in sharp contrast with those in equities and bonds where flight-to-liquidity has been reported when markets are in stress.     

Do protest responses to a contingent valuation question and a choice experiment differ?

It is suggested that the number of protest responses in stated preference surveys depends, inter alia, on the valuation method used. Choice Experiments (CE) are said to generate a lower number of protest responses than Contingent Valuation (CV). However, no comparison of both methods with respect to protest responses has been conducted to date. We used both CE and CV in a survey on forest biodiversity in two German regions. Protest beliefs were measured for all respondents irrespective of whether they were willing to pay or not. The results show no clear pattern of differences between CE and CV regarding protest beliefs and protest responses. Using an attitude scale based on respondents’ protest beliefs, we see a significant negative effect of this attitude on willingness to pay in both methods. However, in one of the two study regions, the effect is weaker in CE than in CV.      

Are Internet surveys an alternative to face-to-face interviews in contingent valuation?

Internet is an increasingly popular data collection mode for stated preference research in environmental economics. However, little is known about how this survey mode may influence data quality and welfare estimates. As part of a national contingent valuation (CV) survey estimating willingness to pay (WTP) for biodiversity protection plans, we assign two groups of respondents either to an Internet or face-to-face (in-home) interview mode. Our design aims to better isolate measurement effects from sample composition effects by drawing both samples from the same sample frame. We find little evidence of social desirability bias in the interview setting or satisficing (shortcutting the response process) in the Internet survey. The share of “don't knows”, zeros and protest responses to the WTP question with a payment card is very similar between modes and equality of mean WTP cannot be rejected. Results are fairly encouraging for the use of Internet in CV as stated preferences do not seem to be significantly different or biased compared to face-to-face interviews.     

Do interest rates matter? Credit demand in the Dhaka slums

“Best practice” in microfinance holds that interest rates should be set at profit-making levels, based on the belief that even poor customers favor access to finance over low fees. Despite this core belief, little direct evidence exists on the price elasticity of credit demand in poor communities. We examine increases in the interest rate on microfinance loans in the slums of Dhaka, Bangladesh. Using unanticipated between-branch variation in prices, we estimate interest elasticities from − 0.73 to − 1.04, with our preferred estimate being at the upper end of this range. Interest income earned from most borrowers fell, but interest income earned from the largest increased, generating overall profitability at the branch level.     

Distribution-free estimation with interval-censored contingent valuation data: troubles with Turnbull?

Contingent valuation (CV) surveys frequently employ elicitation procedures that return interval-censored data on respondents’ willingness to pay (WTP). Almost without exception, CV practitioners have applied Turnbull’s self-consistent algorithm to such data in order to obtain nonparametric maximum likelihood (NPML) estimates of the WTP distribution. This paper documents two failings of Turnbull’s algorithm; (1) that it may not converge to NPML estimates and (2) that it may be very slow to converge. With regards to (1) we propose starting and stopping criteria for the algorithm that guarantee convergence to the NPML estimates. With regards to (2) we present a variety of alternative estimators and demonstrate, through Monte Carlo simulations, their performance advantages over Turnbull’s algorithm.

Growth in Africa: does the source of investment financing matter?

This paper examines empirical evidence for 11 sub-Saharan African countries on the relationship between economic growth and three principal sources of investment funds: foreign aid, foreign direct investment, and domestic saving. In light of the shortcomings of traditional cross-section analyses, the time series approach is used instead. Modern time series methods are rigorously applied, beginning with unit root tests and followed by model specifications that reflect the revealed temporal behaviours of the variables in each of the 11 countries. Domestic saving seems to play a somewhat more important role in generating economic growth than foreign direct investment or foreign aid. However, the mixture of results across the 11 countries implies that, in general, it is not possible to rank one source of investment financing ahead of any other.     

Afro‐descendants in Peru: Do beauty and race matter in the labor market?

This is a first study about labor discrimination against Afro‐descendants in Peru. We randomly assigned Afro‐Peruvian and white surnames and photographs (subjectively beautiful, homely looking, or not photos) to 3,828 fictitious résumés, sent for unskilled, technical, and professional occupations. We find an unprecedented, sizeable beauty premium in unskilled occupations (232.5 percent), no effect of looks in technical occupations, and a beauty penalty in professional occupations (–71.3 percent). Overall, whites receive 19.37 percent more callbacks than similarly qualified Afro‐Peruvians; this racial discrimination affects only Afro‐Peruvian females, and particularly those employed in technical occupations. These results remain unaltered when we restrict the sample to those markedly “Afro” surnames. Our findings unveil different dynamics of discrimination across job categories, which tend to be overlooked by the existing literature.     

Reexamining the relationship between inflation and growth: Do institutions matter in developing countries?

Using a large panel of countries during the period 1950–2009, we estimate the inflation thresholds above which its association with economic growth is expected to be negative, taking into account differences in institutions across countries. First, in line with previous literature, we find that the estimated threshold is substantially higher for developing countries compared to that of developed countries. However, we further show that the inflation threshold in developing economies falls when we consider reduced groups that exceed certain levels of institutional quality. We also find that the cost of inflation increases with the quality of institutions.     

Do expectations matter? Reassessing the effects of government spending on key macroeconomic variables in Germany

This article contributes to the debate on how to properly identify exogenous fiscal shocks in the data. We include expectations held by consumers and firms into the standard vector autoregression (VAR) framework based on information from historical issues of the German political magazine Der Spiegel. The findings underscore the need to account for expectations, as failing to do so leads to significant misinterpretation of the effects of government spending. When neglecting anticipation effects, our results support the recent findings for Germany by pointing to a rather positive effect of government spending on GDP. However, inclusion of expectations yields a change in this effect, suggesting that government spending is much less beneficial for GDP, as it crowds out private consumption and investment.     

Measuring inefficiency in the presence of bad outputs: Does the disposability assumption matter?

Multiple approaches to incorporate environmental pollution in production technologies have been proposed. In this paper, we analyze the consequences of these theoretical models for applied research. Our comparison focuses on alternative disposability assumptions imposed on bad outputs and their effects on the measurement of productive efficiency. Using empirical data on electricity generation in the US, we quantify and analyze differences among the theoretical models. Moreover, Monte Carlo simulations are conducted to evaluate the ability of the models to correctly estimate inefficiency given varying specifications of the pollution-generating process.     

Core infrastructure and industrial performance in Africa: Do institutions matter?

The study investigates the role of institution in the nexus between core infrastructure and industrial performance in Africa. In this study, we select 25 African economies and data cover the period of 1996–2016. To conduct the panel analysis, we use variables such as manufacturing value added per capita to proxy industrial performance and employ the principal component analysis to generate core infrastructure index, as well as institution index. Using the fixed effect model, we find that core infrastructure has a positive but insignificant impact on industrial performance in the selected African countries. However, when we interact infrastructure with institution, results suggest that infrastructure has a positive and significant effect on industrial performance, alluding to the fact that institution is very important in making infrastructure to enhance industrial performance in Africa. Hence, African governments should formulate a sound industrial policy and standardise regulatory quality to boost industrial performance.