Findings in the traffic safety literature suggest that people value traffic risk reductions less when framed as a public good (e.g. infrastructure improvements) compared to when framed as a private good (e.g. personal safety equipment). This study contributes to this literature by reporting empirical evidence for the importance of controlling for the attributes of the goods used in such valuations. We focus on risks faced by vulnerable road users such as cyclists and pedestrians and compare valuations across private and public goods that vary in their attributes. When the goods are of an identical nature, we find no significant difference in valuations, resolving the controversy in previous findings. We find significant effects on valuations from using private or public provision, from offering the good as voluntary or mandated in use, and from changing the framing of the good between the private and the public versions. This adds further weight to the importance of controlling for many attributes.
Using a longitudinal data for about 1800 persons observed between 1986 and 1991, this study investigates the incentive effects on short-term sickness spells of two important regime changes in the social insurance system in Sweden implemented in 1987 and 1991. The results indicate that the rules influenced people’s decisions about when to report the beginning and ending of sickness spells. The 1991 reform, which reduced the replacement rate, had a stronger effect on reducing the duration of short-term absences than the 1987 reform, which restricted the payment of sickness cash benefit to only scheduled workdays.
Matching estimators use observed variables to adjust for differences between groups to eliminate sample selection bias. When minimum relevant information is not available, matching estimates are biased. If access to data on usually unobserved factors that determine the selection process is unavailable, other estimators should be used. This study advocates the one-factor control function estimator that allows for unobserved heterogeneity with factor-loading technique. Treatment effects of vocational training in Sweden are estimated with mean and distributional parameters, and then compared with matching estimates. The results indicate that unobservables slightly increase the treatment effect for those treated.
This article analyses how health-care utilization is affected by copayments in a tax-financed health-care system. The article utilizes a natural experiment in which a health-care region in Sweden changed the price of healthcare in such a way that primary care general physician prices increased by 33%. We use daily visit data in the treatment region and a neighbouring control region where no price change took place and analyse the effect using differences-in-differences as well as differences-in-differences-in-differences models. The results from the preferred models indicate no effect on health-care utilization due to the price change, a result that also holds across different socio-economic subregions in the treatment region.
The nowcasting performance of autoregressive models for GDP growth are analysed in a setting where the error term is allowed to be characterized both by conditional heteroscedasticity and non-Gaussianity. Standard, publicly available, quarterly data on GDP growth from 1979 to 2019 for six countries are employed: Australia, Canada, France, Japan, the United Kingdom and the United States. In-sample analysis suggests that when homoscedasticity is assumed, support is provided for non-Gaussian error terms; the estimated degrees of freedom of the t-distribution lie between two and seven for all countries. However, allowing for both conditional heteroscedasticity and t-distributed innovations, results indicate that conditional heteroscedasticity captures the fat-tailed behaviour of the data to a large extent. Results from out-of-sample analysis show that point nowcasts are hardly affected by taking conditional heteroscedasticity and/or non-Gaussianity into account. For the density nowcasts, it is found that accounting for conditional heteroscedasticity leads to improvements for Australia, Canada, Japan, the United Kingdom and the United States; allowing for non-Gaussianity seems less important though. This result is robust to which measure is used for assessing density nowcasting performance.
We analyse how financial market analysts' expectations in the Czech National Bank's Financial Market Inflation Expectations survey perform relative to the random-walk forecast when it comes to predicting five financial variables. Using data from 2001 to 2022, our results indicate that the analysts are able to significantly outperform the random-walk forecast in terms of forecast precision for the repo rate and Prague Interbank Offered Rate at the one-month forecasting horizon. For the five- and ten-year interest rate swap rates, the random walk significantly outperforms the analysts at both the one-month and one-year forecasting horizons. For the CZK/EUR exchange rate, the random-walk forecast has a lower root mean squared forecast error than that of the analysts' forecast at the one-month horizon whereas at the one-year horizon the opposite is found; however, none of these differences are statistically significant.
This article makes an empirical assessment of the relative importance of non-actionable institutional and cultural factors and actionable policy measures for services market integration, using the Nordic countries as a case study. The Nordics are an ideal case as they are perceived to be a cluster of similar countries, but they have chosen different relations to the European Union (EU) and the rest of the world. First, comparing actionable and non-actionable determinants of services trade, I find that policy-determined free trade agreements (FTAs) boost services trade by 75% and a single market by an additional 45%, while the accumulated effect of all standard non-actionable shared geographical, institutional and cultural features (sharing a land border, language, colonial past and legal origin) almost triples services trade. Having controlled for all these determinants, intra-Nordic trade in services is more than three times the predicted value. An unexplained Nordic bias of this magnitude indicates that full integration of services markets may rely on deeper institutional and cultural factors.
Martin Weitzman has suggested a method for calculating social discount rates for long-term investments when project returns are covariant with consumption or other macroeconomic variables, so-called tail-hedge discounting'. This method relies on a parameter called real project gamma' that measures the proportion of project returns that is covariant with the macroeconomic variable. We compare two approaches for estimation of this gamma when the project returns and the macroeconomic variable are cointegrated. First, we use Weitzman's own approach, and second a simple data transformation that keeps gamma within the zero to one interval. In a Monte-Carlo study, we show that the method of using a standardized series is better and robust under different data-generating processes. Both approaches are examined in a Monte-Carlo experiment and applied to Swedish time-series data from 1950-2011 for annual time-series data for rail freight (a measure of returns from rail investments) and GDP.
This article analyses the services trade impact of recognition of professional qualifications using a unique database compiled by the European Commission. It observes that there is large variation in the number of regulated professions across the EU. The number of recognitions is small relative to total employment in regulated professions. Nevertheless, a robust positive relationship between services trade and recognition of qualifications is found. Recognition stimulates two-way trade between the source and the host country, suggesting that arms-length exports as well as cross-border outsourcing take place. Recognitions in health and education professions are most strongly related to services trade.
This article uses Cost-Benefit Analysis (CBA) to evaluate restoration scenarios aimed at improving angling on the Em River in Sweden. We find that none of the proposed projects are socially profitable when considering only values associated with angling. We rely on a Choice Experiment (CE) to derive utilities and estimate the monetary value of angling site characteristics and then also use the utilities derived in a visitation frequency using a two-stage budgeting approach. The visitation frequency is then used to extract values for fishing license sales and business-related income. The case study illustrates how CBA can provide useful insights into the potential economic returns of environmental restoration projects. Our case study also indicates that the results in terms of Willingness-To-Pay (WTP) and visitation frequency are general findings – i.e. they appear similar across angling sites – which is particularly useful from a policy point of view because it supports the use of benefit transfer for more cost-effective river management.
Payroll tax cuts are considered inefficient for increasing employment among outsiders because insiders will use their power to bargain for higher wages at the expense of outsiders' possibility of becoming employed. The extent to which insiders or outsiders reap the rewards of payroll tax cuts is a matter of debate, and previous literature has largely focused on the employment effects of outsiders. Using wage statistics of employees in the Swedish retail sector, we investigate the effects of a youth payroll tax cut in 2007 on insiders' wage earnings and the number of hours worked. In line with earlier studies, the results show that the payroll tax cut increased insiders' total wage earnings. However, only 21% of the increase in wage earnings resulted from higher bargained wages. 57% of the wage increase corresponds to a higher intensive margin of employment, and the rest was attributed to the number of hours worked by insiders with a higher hourly wage rate. Thus, there is little to suggest that insiders can absorb large amounts of payroll tax cuts in the form of higher bargained wages, even when a small number of workers hold the most bargaining power.
This article explores the relationship between the regional unemployment rate in total and cause-specific mortality in Sweden during 1976-2005. Overall mortality is unrelated to changes in the unemployment rate, while the biggest cause of death (heart disease) decreases when the unemployment rate decreases. At the same time, other accidents, including job-related accidents, increases when the unemployment rate decreases. Swedish evidence provide no support for the US research findings, that 'short-term decreases in the unemployment rate are bad for your health', in general.