In a laboratory experiment, I examined two behavioural effects: hypothetical bias and the framing effect. I elicited willingness to pay (WTP) for a cosmetic product, and manipulated framing conditions (positive vs. negative attribute framing) and incentives to reveal the actual valuation (hypothetical vs. real). I demonstrated that hypothetical bias has a significant impact on WTP values; however, the framing effect has no effect on the valuation of the product. Similarly, I found no interaction between the two effects. This observation contributes to claims that hypothetical research methods lead to equally reliable data as those based on consequential choices.
Parental leave and child care are important instruments of family policies to improve work–family balance. This paper studies the impact of the substantial change in Germany’s parental leave system on maternal employment. The aim of the reform was to decrease birth-related maternal employment breaks by providing more generous parental benefits for a shorter period of time. Using the German Socio-Economic Panel data for 2002–2015, I exploited quasi-experimental variation in the benefits to estimate the impact of the reform. I incorporated the mother’s decision to substitute her care time with the public child care. To control for the availability of child care, I used spatial and temporal variation in the availability of childcare slots. Overall, I did not find significant changes in maternal employment during the first three years of motherhood after the reform implementation. Only for high-income mothers, the reform produced a significant decrease in the employment participation during the first year of leave and an increase in employment probability after the benefits expired. The empirical findings suggest that the restriction in the childcare availability became an important constraint for the employment effect of the reform.
Policymakers typically try to address youth unemployment in developing countries through either active labor market programs (ALMPs) or labor-intensive public works programs (LIPWs). We examine whether there is any additional benefit for unemployed youth from participating in a comprehensive ALMP compared to a LIPW. We exploit an unanticipated intervention in the largest employment program in Papua New Guinea, which resulted in one intake of the program completing a LIPW and missing out on a comprehensive ALMP. We conduct a difference-in-difference analysis between participants in the intake that missed out on the ALMP component of the program and participants in the intakes immediately before and after. In contrast to most impact evaluations of ALMPs, we show youth that completed the comprehensive ALMP were around twice as likely to be employed in the formal sector 9–12 months after the program compared to similar youth in the intake that only completed a LIWP. This effect was entirely driven by 20% of youth who participated in the ALMP staying with the employer they were placed with following the end of the program. Surveys of these employers illustrate that they use the ALMP as a low-cost, low-risk, and relatively low-effort way of hiring new employees.
With arrival of information technology, interaction between consumers and companies become more common. It has implications for the way business function and for business models. The aim of the paper is to analyze crowdsourcing and compare crowdsourcing business models of three product and content crowdsourcing companies, their common features and differences. These companies differ considerably in many respects. The business model framework used is based on Osterwalder and Pigneur’s approach. The paper shows various consequences of using crowds. It shows that having crowds as a key asset implies a necessity to take care of the crowd and network effect before launching a crowdsourcing initiative. The paper gives those involved in crowdsourcing insight about factors crucial for their company and points to where they need to concentrate their resources.
This paper provides robust estimates of the impact of both product and labor market regulations on unemployment using data from 24 European countries over the period 1998–2013. Controlling for country fixed effects, endogeneity, and a large set of covariates, results show that product market deregulation overall reduces the unemployment rate. This finding is robust across all specifications and in line with theoretical predictions. However, not all types of reforms have the same effect: deregulation of state controls and in particular involvement in business operations tend to push up the unemployment rate. Labor market deregulation, proxied by the employment protection legislation index, is detrimental to unemployment in the short run, while a positive impact (i.e., a reduction in the unemployment rate) occurs only in the long run. Analysis by sub-indicators shows that reducing protection against collective dismissals helps in reducing the unemployment rate. The unemployment rate equation is also estimated for different categories of workers. Although men and women are equally affected by product and labor market deregulations, workers distinguished by age and educational attainment are affected differently. In terms of employment protection, young workers are almost twice as strongly affected as older workers. Regarding product market deregulation, highly educated individuals are less impacted than low- and middle-educated workers.
Pablo de Pedraza, Stefano Visintin, Kea Tijdens and Gábor Kismihók
This paper studies the relationship between a vacancy population obtained from web crawling and vacancies in the economy inferred by a National Statistics Office (NSO) using a traditional method. We compare the time series properties of samples obtained between 2007 and 2014 by Statistics Netherlands and by a web scraping company. We find that the web and NSO vacancy data present similar time series properties, suggesting that both time series are generated by the same underlying phenomenon: the real number of new vacancies in the economy. We conclude that, in our case study, web-sourced data are able to capture aggregate economic activity in the labor market.
The primary objective of the study is to examine the impact of political news (good and bad news) on the returns and volatility of Borsa Istanbul 100 Index (BIST-100). Sample data cover the period from January 2008 to December 2017. The main sample was divided into two subperiods to insulate the dominating impacts of both the 2008 Global Financial Crisis and 2013 Federal Reserve Tapering on Turkish stock markets. The daily stock market data were collected from the Electronic Data Delivery System (EVDS) web service, while political news headlines were collected from the Guardian newspaper. Different nonlinear volatility models (symmetric and asymmetric Generalized AutoRegressive Conditional Heteroskedasticity [GARCH]-type models) were used to model and estimate BIST-100 volatility in response to political news. The findings of the paper highlight four main results. First, there seems to be a significant impact of political news on the returns and volatility of BIST-100 index. Second, negative shocks derived from bad news tend to have a significant impact on the returns and volatility of BIST-100, while positive shocks derived from good news do not tend to have any significant impact on the returns, but decreased returns volatility. Third, political news, both good and bad, can affect stock return and stock return volatility in different directions, and this direction is time-varying. Fourth, the findings strongly reveal the presence of “Leverage Effect” in the returns of BIST-100 index. Therefore, one can say that political uncertainty is still a problem for the Turkish stock market.