scholarly journals Job Displacement, Unemployment, and Crime: Evidence from Danish Microdata and Reforms

2019 ◽  
Vol 18 (5) ◽  
pp. 2182-2220
Author(s):  
Patrick Bennett ◽  
Amine Ouazad
Keyword(s):  
Criminal Activity ◽  
Displaced Workers ◽  
Labor Income ◽  
Job Displacement ◽  
Unemployment Benefits ◽  
Data Set ◽  
Unemployment And Crime ◽  
The Individual ◽  
Time Specific ◽  
The Impact

Abstract This paper estimates the individual impact of a worker’s job loss on his/her criminal activity. Using a matched employer–employee longitudinal data set on unemployment, crime, and taxes for all residents in Denmark, the paper builds each worker’s timeline of job separation, unemployment, and crime. The paper focuses on displaced workers: high-tenure workers who lose employment during a mass-layoff event at any point between 1990 and 1994 (inclusive). Controlling for municipality- and time-specific confounders identifies the individual impact separately from the aggregate impact of the unemployment rate on crime. Placebo tests display no evidence of trends in crime prior to worker separation. Using Denmark’s introduction of the Act on an Active Labor Market at the end of 1993, we estimate the impacts of activation and of a reduction in benefit duration on crime: crime is lower during active benefits than during passive benefits and spikes at the end of benefit eligibility. We use policy-induced shifts in the kink formula relating prior earnings to unemployment benefits to estimate the separate impacts of labor income and unemployment benefits on crime: the results suggest that unemployment benefits do not significantly offset the impact of labor income losses on crime.

scholarly journals The Impact of Customer Contact on Collective Human Energy in Firms

2018 ◽  
Vol 44 (5) ◽  
pp. 915-952
Author(s):  
Petra Kipfelsberger ◽  
Heike Bruch ◽  
Dennis Herhausen
Keyword(s):  
Transformational Leadership ◽  
Organizational Level ◽  
Data Set ◽  
Customer Contact ◽  
Individual Level ◽  
Moderated Mediation Model ◽  
Human Energy ◽  
The Individual ◽  
High Level ◽  
The Impact

This article investigates how and when a firm’s level of customer contact influences the collective organizational energy. For this purpose, we bridge the literature on collective human energy at work with the job impact framework and organizational sensemaking processes and argue that a firm’s level of customer contact is positively linked to the collective organizational energy because a high level of customer contact might make the experience of prosocial impact across the firm more likely. However, as prior research at the individual level has indicated that customers could also deplete employees’ energy, we introduce transformational leadership climate as a novel contingency factor for this linkage at the organizational level. We propose that a medium to high transformational leadership climate is necessary to derive positive meaning from customer contact, whereas firms with a low transformational leadership climate do not get energized by customer contact. We tested the proposed moderated mediation model with multilevel modeling and a multisource data set comprising 9,094 employees and 75 key informants in 75 firms. The results support our hypotheses and offer important theoretical contributions for research on collective human energy in organizations and its interplay with customers.

scholarly journals Weather Impact on Airport Performance

Aerospace ◽  
2018 ◽  
Vol 5 (4) ◽  
pp. 109 ◽  
Author(s):  
Michael Schultz ◽  
Sandro Lorenz ◽  
Reinhard Schmitz ◽  
Luis Delgado
Keyword(s):  
Traffic Management ◽  
Probability Distributions ◽  
Weather Conditions ◽  
Air Traffic ◽  
Weather Data ◽  
Data Set ◽  
Airport Capacity ◽  
Weather Events ◽  
The Individual ◽  
The Impact

Weather events have a significant impact on airport performance and cause delayed operations if the airport capacity is constrained. We provide quantification of the individual airport performance with regards to an aggregated weather-performance metric. Specific weather phenomena are categorized by the air traffic management airport performance weather algorithm, which aims to quantify weather conditions at airports based on aviation routine meteorological reports. Our results are computed from a data set of 20.5 million European flights of 2013 and local weather data. A methodology is presented to evaluate the impact of weather events on the airport performance and to select the appropriate threshold for significant weather conditions. To provide an efficient method to capture the impact of weather, we modelled departing and arrival delays with probability distributions, which depend on airport size and meteorological impacts. These derived airport performance scores could be used in comprehensive air traffic network simulations to evaluate the network impact caused by weather induced local performance deterioration.

INEQUALITY, FDI AND ECONOMIC DEVELOPMENT: EVIDENCE FROM DEVELOPING COUNTRIES

2017 ◽  
Vol 62 (05) ◽  
pp. 1039-1057 ◽  
Author(s):  
MUHAMMAD TARIQ MAJEED
Keyword(s):  
Economic Development ◽  
Estimation Methods ◽  
Host Countries ◽  
Data Set ◽  
Regional Effects ◽  
Specific Effects ◽  
Level Of Economic Development ◽  
Time Specific ◽  
High Level ◽  
The Impact

This paper empirically investigates the impact of Foreign Direct Investment (FDI) on inequality using a panel data set of 65 developing counties. While the existing literature mainly examines the impact of FDI on growth, this study explores the importance of domestic conditions of the host countries in determining the distributional effects of FDI. The results show that the impact of FDI is not homogenous on host countries as FDI inflows exert inequality-narrowing effect only in countries that have stronger investment in human capital, better financial sector and a high level of economic development. While FDI accentuates not ameliorates inequality in countries with low level of economic development, findings of the study are robust to the use of different specifications, different estimation methods, inclusion of regional effects and time specific effects.

scholarly journals Money also is sunny in a retiree’s world: financial incentives and work after retirement

2021 ◽  
Vol 55 (1) ◽  
Author(s):  
Svenja Lorenz ◽  
Thomas Zwick
Keyword(s):  
Financial Incentives ◽  
Negative Impact ◽  
Labor Income ◽  
Data Set ◽  
Demographic Groups ◽  
Labor Earnings ◽  
Supply Model ◽  
Step Selection ◽  
The Impact ◽  
The Empirical Analysis

AbstractThis paper assesses the impact of financial incentives on working after retirement. The empirical analysis is based on a large administrative individual career data set that includes information about 2% of all German employees subject to social security or in marginal employment until age 67 and their employers in the period 1975–2014. We use the classical labor supply model and differentiate between the impact of (potential) labor and non-labor (pension entitlements) income. A Heckman-type two step selection model corrects for endogeneity. We show that labor income has a positive and non-labor income a negative impact on the decision to work after retirement. Especially individuals who can substantially increase their earnings in comparison to their pension entitlements accordingly have a higher probability to work. Men are more attracted by labor earnings incentives than women. Also individuals who work until retirement are easier attracted to work after retirement by higher labor income than those with gaps between employment exit and retirement. Our results allow the calculation of the impact of changes in taxes on labor and non-labor income and changes in earnings offers by employers on work after retirement for different demographic groups.

The interaction effects of information cascades, system recommendations and recommendations on software downloads

2019 ◽  
Vol 43 (5) ◽  
pp. 728-742 ◽  
Author(s):  
JiHye Park ◽  
JaeHong Park ◽  
Ho-Jung Yoon
Keyword(s):  
Information Sources ◽  
Generalized Least Squares ◽  
Information Cascades ◽  
Data Set ◽  
Content Type ◽  
Product Choices ◽  
Generalized Least Squares Estimation ◽  
The Individual ◽  
Main Effects ◽  
The Impact

Purpose When purchasing digital content (DC), consumers are typically influenced by various information sources on the website. Prior research has mostly focused on the individual effect of the information sources on the DC choice. To fill the gap in the previous studies, this research includes three main effects: information cascades, recommendations and word of mouth. In particular, the purpose of this paper is to focus on the interaction effect of information cascades and recommendations on the number of software downloads. Design/methodology/approach The authors use the panel generalized least squares estimation to test the hypotheses by using a panel data set of 2,000 pieces of software at download.cnet.com over a month-long period. Product ranking and recommendation status are used as key independent variables to capture the effects of information cascades and recommendations, respectively. Findings One of this study’s findings is that information cascades positively interact with recommendations to influence the number of software downloads. The authors also show that the impact of information cascades on the number of software downloads is greater than one of the recommendations from a distributor does. Originality/value Information cascades and recommendations have been considered as the primary effects for online product choices. However, these two effects typically are not considered together in one research. As previous studies have mainly focused on each effect, respectively, the authors believe that this study may fill the gap by examining how these effects are interacted to one other to influence customers’ choices. The authors also show that the impact of information cascades on the number of software downloads is greater than one of the recommendations from a system does.

Practical application of meta-analysis results: avoiding the double use of data

2005 ◽  
Vol 62 (4) ◽  
pp. 925-929 ◽  
Author(s):  
C V Minte-Vera ◽  
T A Branch ◽  
I J Stewart ◽  
M W Dorn
Keyword(s):  
Input Data ◽  
Stock Assessment ◽  
Meta Analysis ◽  
Data Set ◽  
Use Of Data ◽  
Type C ◽  
The Individual ◽  
Meta Analyses ◽  
The Impact ◽  
Additional Form

Meta-analysis is an important new tool for synthesizing scientific knowledge from many previous studies. In fisheries, meta-analyses can be used to obtain prior distributions or penalty functions for parameters used in stock assessment models. Two types of results are generally published in a meta-analysis: Type A, the updated results for each stock used in the meta-analysis, and Type B, the results that would best describe a new stock. Including these results in assessments for the individual stocks would result in double use of the data if the assessments include the input data used in the meta-analyses, which they typically would. To solve this problem, we recommend that an additional form of results should be reported in meta-analyses: Type C, the results for a new stock obtained by sequentially excluding each stock's data set and repeating the meta-analysis. Type C results should be used whenever the assessment input data overlap with the meta-analysis input data, avoiding the double use of data. We illustrate the impact of this reporting change on the results of a recent meta-analysis.

scholarly journals Precariousness, youth and political participation: the emergence of a new political cleavage

2018 ◽  
Vol 49 (1) ◽  
pp. 99-113
Author(s):  
Lara Monticelli ◽  
Matteo Bassoli
Keyword(s):  
Political Participation ◽  
Industrial Relations ◽  
Occupational Status ◽  
Original Data ◽  
Left Wing ◽  
Political Consumerism ◽  
Data Set ◽  
Individual Level ◽  
The Individual ◽  
The Impact

AbstractThe article aims at disentangling the existing relation between job precariousness and political participation at the individual level illustrating that the former can be considered an emerging political cleavage. The authors apply an interpretive framework typical of political participation studies to an original data set composed of two groups of young workers (with precarious and open-ended contracts) in a big Italian post-industrial city, Turin. First, applying a confirmatory factor analysis, a typology of three ‘modes’ of political participation – voting, collective action, and political consumerism – is used to reduce data complexity. Second, logistic regressions are deployed to analyze the role played by occupational status, political positioning, and the interaction between the two, on the different modes of political participation. Precarious youth show a higher level of political participation in representational behaviours (voting). Left-wing youth are generally more active than non-left-wing ones in non-representational behaviours (collective actions and consumerism), the impact is more pronounced for precarious young people. Thus, results demonstrate the relevance of occupational status in explaining patterns of participation and invite scholars to promote a dialogue between industrial relations and political participation studies.

Rational Choice Models of Crimes by Youth

1987 ◽  
Vol 16 (1-2) ◽  
pp. 129-187 ◽  
Author(s):  
Llad Phillips ◽  
Harold L. Votey
Keyword(s):  
Criminal Behavior ◽  
Criminal Activity ◽  
School Enrollment ◽  
Economic Opportunity ◽  
Data Set ◽  
Black And White ◽  
Research Findings ◽  
The Impact ◽  
The Relationship ◽  
Labor Market Activity

This article presents research findings from three analyses of criminal activity among youth. The data set used in all three is the National Longitudinal Survey of Young Americans, a data set that is particularly appropriate for this type of analysis. The work examined the relationship between criminal behavior and family and moral influences; the impact of legitimate labor market activity on participation in crime; and the effect of school enrollment on criminal activity. The findings confirm the hypothesis that black and white differences in criminal participation partially reflect differences in economic opportunity.

scholarly journals ‘Oh no, the stick keeps falling!’: An analytical framework for conceptualising young children’s interactions during free play in a woodland setting

2021 ◽  
pp. 1476718X2098386
Author(s):  
Cheryl Ellis ◽  
Gary Beauchamp ◽  
Sian Sarwar ◽  
Jacky Tyrie ◽  
Dylan Adams ◽  
...  
Keyword(s):  
Natural Environment ◽  
Analytical Framework ◽  
Free Play ◽  
Future Research ◽  
Valuable Insight ◽  
Data Set ◽  
Current Form ◽  
The Individual ◽  
Rich Data ◽  
The Impact

It is widely accepted that play and ‘free play’ in particular, is beneficial to young children’s holistic development. However, there is a lack of evidence of the role that the natural environment can have in relation to young children’s play. This study examined the elements of ‘free play’ of children aged 4–5 years within a woodland university campus setting. The children chose to wear camera glasses which recorded both the gaze and speech of the individual. This provided a valuable insight into the ‘free play’ of the children and provided a rich data set to enable the development of an analytical framework which maps out the interactions which took place during the ‘free play’ within the woodland environment. Results showed that the children engaged in six key interactions including interactions with the natural environment as part of their play, including the use of sticks, leaves and branches as tools and props ‘as is’ (i.e. in its current form) and ‘as if’ (in conjunction with children’s imaginations). The framework highlights key aspects of their play which tended to be autonomous, child led and imaginary. Recommendations for future research include the use of the framework in alternative environments to explore the impact of different physical environments on the interactions of children within their ‘free play’.

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