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The aims of this paper are to measure the impacts of subsidy, work experience and training programmes on New Zealand male registered unemployed, and to examine the sensitivity of these estimates to the amount of time that participants are followed after an intervention.

The impact of an intervention on those who participate in an active labour market programme is the key question addressed in this paper. A New Zealand panel data set is used, which includes both intervention and individual characteristics of the unemployed. Both a potential outcomes and single nearest‐neighbour difference‐in‐differences matching approach are used to estimate the impact of participation.

The key findings are that work experience programmes are the most effective in the short‐term. Training programmes are the least effective. Programmes are more effective for the long‐term unemployed than for short‐term unemployed. The results are sensitive to the point of time examined in the post‐intervention period, with short‐term benefits disappearing completely three years after the intervention.

This paper examines the relative effect of active labour market programmes in New Zealand using a consistent evaluation framework. The sensitivity of the results to different time periods, and matching estimator specifications are examined.

The aim of this study was to investigate the impact of low-carbon city pilots (LCCPs) policy using Chinese city-level data from 2009 to 2018 and examine the mechanisms of LCCP policy using a mediation effect model.

The authors measured carbon emissions by high-resolution carbon emission data and used difference-in-difference (DID) and propensity matching score-difference-in-difference (PSM-DID) model to investigate the relationship between LCCP policy and urban carbon intensity. The complex relationship between policy and carbon intensity was evaluated through a mediation model.

The results show that LCCP policy can reduce urban carbon intensity (−0.287), but its effects are different in different sectors. The impact of LCCP policy is greater in the industrial enterprise sector than in the transport sector than in the agricultural sector. Second, the authors find that LCCP policy under market-driven is more effective than government intervention. Third, there is a spillover effect of LCCP policy, which is decreasing with distance. Finally, the authors explore the mechanisms of LCCP policy from multiple perspectives, such as optimizing industrial structure, green areas, promoting public transport travel, population migration and innovation. In addition, the flow of these factors can also explain the spillover effects of LCCP policy.

This study confirms that LCCP policy is an effective tool for achieving urban sustainable development. Government policy-makers should consider the differences in the impacts of LCCP policy in different sectors and the spillover effects of LCCP policy. And, it shows that the effects of LCCP policy are larger by market-driven. These findings imply that the government should take full account of city characteristics and marketisation processes when formulating carbon reduction policies.

This study analyzed the relationship between LCCP policy and urban carbon intensity based on high-resolution carbon emission data. Urban panel data are used to discuss the impacts of LCCP policy under government intervention and market-driven and the mechanisms at play. The study reveals that LCCP policy mainly acts on the industrial enterprise sector, the spillover effects and the market-driven effects.

This quasi-experimental study examined the effectiveness of audio-visual and written feedback (AVF + WF) on undergraduate students versus only receiving WF in the context of an English as a Foreign Language (EFL) online classroom during the coronavirus disease 2019 (COVID-19) lockdown.

The study used the estimator Difference in Difference (DID) to compare a treated and control group in a pre-and post-test under the application of six treatment sessions, plus a student's perception survey at the end of the treatment. The treated group that received the multimodal feedback showed higher improvement rates in the paragraph content between the first and final drafts than students in the control group.

Results indicated that receiving a combination of AVF + WF had a statistically significant effect on mechanics (p < 0.001) and the use of transition words (p = 0.003).

These findings will benefit educational agents, professors and stakeholders for social and economic development.

While previous studies have only used student perceptions of the feedback, this study contributes with empirical data through quasi-experimental analysis and measures the effectiveness of feedback in online learning environments.

Government repression against civilians while enforcing COVID-19 related lockdowns was widely reported in Africa. At the same time, many have claimed that high-speed (4G) mobile network proliferation provide an accountability mechanism that may constrain police abuses. This study focused on Nigeria to examine (1) the effect of COVID-19 lockdowns on police repression and (2) whether widespread high-speed mobile data networks constrain police repression.

Using data from the Armed Conflict Location and Event Database (ACLED) and the Mobile Coverage Database, this study used difference-in-differences (DID) and triple difference (DDD) estimation on a sample of 423,925 observations (local government area-days) between January 1, 2019 and June 30, 2020 to estimate the causal effects of COVID-19 lockdowns and high-speed (4G) mobile data on police repression.

Lockdowns increased certain forms of police repression in areas with substantial high-speed (4G) mobile networks. Separate from the lockdowns, widespread 4G network increased police repression even without lockdowns.

Proliferation of high-speed mobile networks in Nigeria appears to facilitate, rather than constrain, police repression. It is possible that high-speed mobile data networks allow police to detect and repress citizen behaviors, rather than permitting citizens to correct repressive police behaviors.

Although many studies have explored the COVID-19 pandemic and police behavior in Western countries, only a few have examined its effects in states with even more troubled policing institutions, including those in sub-Saharan Africa, using DID and DDD estimation.

The purpose of this paper is to assess whether offshoring strategies are able to substantially enhance firms’ international competitiveness in terms of productivity, innovativeness and skill composition for a panel of Italian manufacturing firms.

A set of hypotheses derived from the extant literature is tested on data from balance sheets and qualitative surveys of about 4,000 Italian firms. The methodology used is a propensity score matching estimator and difference in differences method that allowed the authors to detect the causal effect of the offshoring status of the firms on some performance measures.

Results demonstrate that offshoring increases the propensity to innovate and the skill ratio of workers but does not show a significant association with productivity growth. The estimates are robust in all the specifications.

The results are applicable to Italian firms. The magnitude and timing of the effects may vary across firms and countries.

This paper contributes to the empirical literature on offshoring by exploring its impact on a variety of firms’ performance measures by using matching techniques that allow us to investigate more in depth the causality link of the relationship and to control for the self-selection effect (more productive firms self-select to offshore).

The purpose of this study is to use recent US legislative activity surrounding changes to the Environmental Protection Agency (EPA)/Clean Air Act in 2010, which changes the practice of environmental policy of a firm, and the unique setting of Utility industry to examine the relationship between a firm’s voluntary accounting disclosure and environmental performance.

This study features hand-collected data of environmental disclosure and examines its relation with environmental performance. To address the endogeneity problem, a difference-in-differences test with propensity score matching is performed to study the impact of policy change on environmental disclosure.

The findings of this study show that measures of environmental performance have a significant and positive association with a firm’s voluntary disclosure. The results from difference-in-differences test show that adjustments in environmental performance after regulatory change have a causal and positive effect on a firm’s voluntary disclosure.

The findings support theories of signaling and voluntary disclosure that better-performing firms provide more information disclosure of their environmental performance.

The findings show real adjustments in firm environmental performance and consistent voluntary disclosure around the enactment of environmental legislation, which may have important implications for environmental rule making bodies and management about the effectiveness of their regulations.

This study is among the first to examine the causal relationship between environmental performance and disclosure within the context of recent changes in US environmental regulation. This study also provides the Utility industry experiment with difference-in-differences test to tackle endogeneity in the relation between performance and disclosure.

This paper aims to evaluate the performance of a chat reference service implemented at an academic library in a private liberal arts college by gauging its impact on other forms of reference service in terms of usage volume, with a focus on research-related face-to-face reference questions.

Two statistical methods are used, namely, the difference-in-differences method and a simple moving average time series analysis, to analyze both the short-term and long-term impact brought by chat reference.

This study finds that the usage volume of the traditional face-to-face reference is significantly affected by chat reference in its first service year. The long-term analysis suggests that chat reference volume displays a significant declining trend (−2.06 per cent academic month) since its implementation. Yet, its usage volume relative to other reference services remains stable over time.

The findings in this case study will be of value to libraries with similar scale and institutional features that are also interested in assessing their chat reference service. In addition, this paper is the first to apply the difference-in-differences approach in the field of library science, and the two statistical methods adopted in this case study can be readily adapted and applied to other similar volume-based library assessment projects.

The purpose of this paper is to examine the impact of the tragic events of 9/11 on the self‐employment entry/exit decisions of native‐born Hispanics.

The paper uses the difference‐in‐differences approach with native Whites as the control group. The dynamics of entry and exit decisions are examined using data from 1999‐2003 CPS‐ORG.

The estimates reveal a negative impact of 9/11 on Hispanics' self‐employment entry decisions, which is mainly the result of less entry from the wage sector, and it has increased Hispanics' self‐employment exit, which is mainly the result of increased exit to the wage sector.

The results suggest that native Hispanics may have experienced increased job opportunities in the wake of 9/11 and hence became less likely to be “pushed” into self‐employment and more likely to be “pulled” out of self‐employment. The improved labor market opportunities stem from government increased sanctions against undocumented immigrants, which reduced the demand for illegal immigrant workers, many of whom are Hispanic immigrants, and that native‐born Hispanics are likely to be relatively close substitutes for immigrants Hispanics. A limitation of the research is that the estimates are statistically insignificant, possibly due to the relatively small sample size.

Existing studies that examine the impact of 9/11 on the Hispanic's labor market outcomes are all focused on immigrants or wage‐employment. The paper complements the literature by examining the impact of 9/11 on native‐born Hispanics and in particular their self‐employment decisions, and thus provides a more complete picture of the impact of 9/11 on Hispanics.

The goal of this paper is to present the difference‐in‐differences approach as statistical methodology specifically to address the importance of identifying culture‐specific advertising strategies when targeting global market segments. In applying this methodology to advertising research, the study analyses German and Japanese magazine advertising targeting women in four dimensions: advertisement format, usage of models, male and female role portrayal and value appeals. Despite some apparent transnational similarities in advertising aimed at women, the difference‐in‐differences analysis reveals marked cross‐cultural differences in the way that marketers adapt their strategies in the women’s market. The results indicate that non‐traditional approaches in targeting women seem to be far more culturally specific than the traditional ones, and that the male role portrayal, which has not yet gained much attention in research, is the crucial element of non‐traditional approaches in the Japanese women’s magazine.

This paper aims to analyze how nearby property prices are affected by new construction projects in Stockholm. If there is an impact on property prices, the authors endeavor to investigate whether the effects vary among different areas within the municipality, for different groups of inhabitants and for different types of housing (i.e. public versus private housing).

The authors use a difference-in-difference specification in a hedonic model, and the sample consists of more than 90,000 observations over the period 2005-2013.

The results are robust and indicate that house prices in nearby areas increase following the completion of infill development. The results also indicate that infill development has a positive spillover effect on nearby dwelling prices only in areas with lower incomes, more public housing units and more inhabitants born abroad.

It provides an analysis on how nearby property prices are affected by new construction projects by creating a restricted control area, so as to make the treatment group and the control group more homogeneous. Thus, it mitigates any potential problems with spatial dependency, which can cause biased standard errors.