Browse

1 - 10 of 737 items :

  • Macroecomics x
Clear All
Hypothetical bias and framing effect in the valuation of private consumer goods

Abstract

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.

Open access
The Impact of Parental Leave Policy on Child-Rearing and Employment Behavior: The Case of Germany

Abstract

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.

Open access
The Marginal Benefit of an Active Labor Market Program Relative to a Public Works Program: Evidence from Papua New Guinea

Abstract

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.

Open access
Unemployment Impact of Product and Labor Market Regulation: Evidence from European Countries

Abstract

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.

Open access
Survey vs Scraped Data: Comparing Time Series Properties of Web and Survey Vacancy Data

Abstract

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.

Open access
Solving Systems of Linear Equations under Conditions of Uncertainty on the Example of the Leontief Model

Abstract

The paper presents various methods of solving systems of linear equations under conditions of uncertainty. In a situation when the parameters of such systems cannot be precisely determined with real numbers, they can be represented by interval numbers, fuzzy numbers or ordered fuzzy numbers. Solutions of systems of linear equations with such representations of parameters are shown in the example of Leontief input-output model. It has also been shown that when ordered fuzzy numbers are applied, their additional feature – orientation – can broaden and deepen economic analysis.

Open access
Labor Migration in Indonesia and the Health of Children Left Behind

Abstract

Economic research on labor migration in the developing world has traditionally focused on the role played by the remittances of overseas migrant labor in the sending country’s economy. Recently, due in no small part to the availability of rich microdata, more attention has been paid to the effects of migration on the lives of family members left behind. This paper examines how the temporary migration of parents for work affects the health outcomes of children left behind using the longitudinal data obtained from the Indonesia Family Life Survey. The anthropometric measure of the child health used, height-for-age, serves as a proxy for stunting. The evidence suggests that whether parental migration is beneficial or deleterious to the child health depends on which parent moved. In particular, migration of the mother has an adverse effect on the child’s height-for-age, reducing height-for-age Z-score by 0.5 standard deviations. This effect is not seen on the migration of the father.

Open access
Credibility of foreign Discriminatory Models in Relation to the Assessment of the Financial Condition of Polish Enterprises. Case Study of E. Altman’s Method

Abstract

The article is an attempt to assess whether foreign discriminatory models can be used in conditions of the Polish economy. To date, there is no one voice on this issue. There are views that this approach is wrong. It results from different factors affecting a given economy, or another character of the economy itself. Another issue is also differences in financial reporting of individual countries, which is translated into financial data. In turn, a different view is presented by the trend that foreign models can be used in the conditions of the Polish economy, while the differences that appear do not significantly affect the quality and reliability of the received diagnosis. Accordingly, the article attempts to verify both above positions. For the purposes of the study, the article presents the results of research on a sample of 25 bankrupt companies from the years 2012 to 2017, which declared liquidation bankruptcy, and their 25 healthy counterparts. The diagnosis of their financial situation was made using E. Altman’s model of 1983. The results of the study confirm the validity of the thesis that a more correct solution is to adopt the second thesis, namely foreign models can be used in the conditions of the Polish economy, but only after suitable modifications and consideration of the Polish economic conditions. In contrast, the use of foreign models without such a procedure should not take place. Such an approach may have an impact on receiving an incorrect diagnosis which does not correspond to the real situation in the surveyed entity.

Open access
Determinants of Corporate Dividend Policy in Polish Companies Listed on WSE

Abstract

The purpose of this paper is to identify the factors influencing the level of dividend payments in the companies listed on the Warsaw Stock Exchange in 1998-2017 as well as to provide empirical evidence for their significance, using a panel data approach. The object of research comprised the companies listed on WSE, as of February 01, 2019. The subject of the analysis are the dividends paid by the companies and the factors potentially influencing the decisions regarding profit distribution. The models estimated for the panel data, based on the theory, allowed selection of the best model, which is the random-effects model. Moreover, these models allowed identification of the factors determining the changes in the level of dividend per share. The best model was the random-effects model. This model allowed identification of the factors impacting the changes in the level of dividend per share, that is, the value of the company’s total assets and the history of the company’s operation on the stock exchange market. All structural parameters (except the intercept) were positive. It means that growth of each of these variables causes an increase in the dividend per share.

Open access