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The purpose of this study is to estimate the extent (mean and range) of non‐response bias in online travel advertising conversion studies for 24 destinations located throughout the USA.

The method uses two weighting procedures (i.e. post stratification and propensity score weighting) to estimate the extent of non‐response bias by adjusting the estimates provided by respondents to more closely represent the total target sample.

The results of this analysis clearly indicate that the use of unweighted data to estimate advertising effectiveness may lead to substantial over estimation of conversion rates, but there is limited “bias” in the estimates of median visitor expenditures. The analyses also indicate that weighting systems have substantially different impact on the estimates of conversion rates.

First, the likelihood to answer a survey varies substantially depending on the degree of the familiarity with the mode (i.e. paper, telephone versus internet). Second, the competition‐related variables (i.e. the number and competitiveness of alternative nearby destinations) and various aspects of the campaign (i.e. amount of investment in a location) should be considered.

This study of 24 different American tourism campaigns provides a useful understanding in the nature (mean and range) of impact of non‐response bias in tourism advertising conversion studies. Additionally, where there is difficulty obtaining a reference survey in the advertising study, the two weighting methods used in this study are shown to be useful for assessing the errors in response data, especially in the case of propensity score weighting, where the means to develop multivariate‐based weights is straightforward.

To combat poverty in China's rural areas, Chinese government has established an unconditional cash transfer program known as the Rural Minimum Living Standard Guarantee (Rural Dibao) Program. Interestingly, despite the importance of education in breaking cycles of poverty, little is known about Rural Dibao's impact on rural children's education. This study investigates Rural Dibao's impact on rural children's learning outcomes by first examining targeting issues within the program, exploring a causal relationship between Rural Dibao and learning outcomes, and then exploring potential mechanisms and heterogeneous effects.

Fixed effects model and propensity score weighting method and data from China Family Panel Studies (CFPS) from the years 2010 and 2014 were used.

The results suggest that the Rural Dibao program suffers from high levels of targeting error, yet is still effective (i.e., program transfers generally still go to people in need). The fixed effects and propensity score weighting models find that program participation raises rural children's standardized test scores in CFPS Chinese-language and math tests. In investigating mechanisms, increased education expenditure seems to connect Rural Dibao participation to increased learning results. The heterogeneity analysis shows that poorer, non-eastern, not left behind, younger or male children benefit from the program (while others have no effect).

These findings suggest that Rural Dibao participation boosts rural children's learning, which could indicate a long-term anti-poverty effect, and that if the program can resolve targeting problems, this effect could be even greater.

In this paper, the authors explore the relationship that slack resources and technology-mediated human capital investments can have on individuals’ entrepreneurial intentions. Focusing on human capital investments that individuals make through education and work, the authors analyze the relationship among formal online learning opportunities, informal skill development in the gig economy and entrepreneurial intentions.

Leveraging a novel dataset that merges administrative tax data with a survey of over 8,528 low- and moderate income (LMI) households, this study uses machine learning and propensity score weighting to examine the likelihood that individuals who make these technology-mediated human capital investments will have increased odds of entrepreneurial intentions when compared to similar individuals who do not make these investments.

The authors find that both partaking in online learning and working in the gig economy are significantly associated with increased odds of entrepreneurial intentions. Furthermore, through a variety of robustness and mechanism checks, the authors find that technology-mediation is an important factor in these relationships and that informal skill development and career preparation is one way in which gig employment influences entrepreneurial intentions.

As the study’s data come from a cross-sectional survey, the authors cannot make causal inferences about the relationship between online learning, gig employment and entrepreneurial intentions. Thus, future research should explore sources of longitudinal data.

This study has practical implication for individuals and policymakers that seek to increase entrepreneurship among LMI households.

Despite a wealth of research on the relationships among slack resources, technology and innovation at the firm level, there is little of this research at the individual level – especially among LMI individuals. The authors begin to fill this important gap.

Does the long-term growth rate of a firm increase by exporting? If yes, how large is that increase in a developing economy? The paper aims to discuss this issue.

The authors incorporate data from the manufacturing plants in Iran as a developing economy for 2003–2011 to address this question. Using fixed effect panel and propensity score matching method, the authors examine whether exportation can affect a firm’s growth rate to test for the learning to grow hypothesis.

The findings document that: not only the exporters are larger and more productive than non-exporters, but they also grow faster in size and productivity measures as well. Additionally, the authors find that the rise in the growth rate is a short-term phenomenon and it disappears in the second year; meaning that exportation does not have a permanent growth effect. The findings are consistent with a spot effect of learning, compared to a permanent growth engine. Results are robust to different analysis tests.

The authors investigate the learning effect of exporting within recently released firm-level data of a developing country.

Users' knowledge contribution behaviors are critical for online Q&A communities to thrive. Well-organized question threads in online Q&A communities enable users to clearly read existing answers and their evaluations before contributing. Based on the social comparison and peer influence literature, the authors examine peer influence on the informativeness of knowledge contributions in competitive settings. The authors also consider three levels of moderating factors concerning individuals' perception of competitiveness: question level, thread level and contributor level.

The authors collected data from one of the largest online Q&A communities in China. The hypotheses were validated using hierarchical linear models with cross-classified random effects. The generalized propensity score weighting method was employed for the robustness check.

The authors demonstrate the peer influence due to social comparison concerns among knowledge contribution behaviors in the same question thread. If more prior knowledge contributors choose to contribute long answers in the question thread, the subsequent contributions are more informative. This peer influence is stronger for factual questions and questions with higher popularity of answering but weaker in recommendation-type and well-answered questions and for contributors with higher social status.

This research provides a new cue of peer influence on online UGC contributions in competitive settings initiated by social comparison concerns. Additionally, the authors identify three levels of moderating factors (question level, thread level and contributor level) that are specific to online Q&A settings and are related to a contributor's perception of competitiveness, which affect the direct effect of peer influence on knowledge contributions. Rather than focus on motivation and quality evaluation, the authors concentrate on the specific content of online knowledge contributions. Peer influence here is not based on an actual acquaintance or a following relationship but on answering the same question. The authors also illustrate the competitive peer influence in subjective and personalized behaviors in online UGC communities.

Without controlling for selection bias and the potential endogeneity of the treatment by using proper methods, the estimation of treatment effect could lead to biased or incorrect conclusions. However, these issues are not addressed adequately and properly in higher education research. This study reviews the essence of self-selection bias, treatment assignment endogeneity, and treatment effect estimation. We introduce three treatment effect estimators – propensity score matching analysis, doubly robust estimation (augmented inverse probability weighted approach), and endogenous treatment estimator (control-function approach) – and examine literature that applies these methods to research in higher education. We then use the three methods in a case study that estimates the effects of transfer student pre-enrollment debt on persistence and first year grades. The final discussion provides guidelines and recommendations for causal inference research studies that use such quasi-experimental methods.

The protective aspects of relationships for health have been extensively studied. Here, we assess whether different dimensions of partnership status at the time of a child’s birth are associated with better self-assessed health later in mid-life. Data are from three countries with different social welfare policies relating to union status and parenting: the US, the UK, and Norway. Results indicate that women who were partnered at first birth had better health at midlife in all three countries than women who were unpartnered. The analysis indicates no differences in the mid-life health of Norwegian women who were married or cohabiting at birth, whereas for US and UK women, being married at the birth of a first child is more beneficial for mid-life health than bearing the child in a cohabiting union. In the US, women who are least likely to marry do not demonstrate better mid-life health if they had wed relative to cohabiting. In the UK, in contrast, the women least likely to be married at the birth experience better returns if they marry. These findings highlight the importance of paying closer attention to heterogeneous treatment effects as they relate to childbearing, relationship status, and mid-life health.

International student enrollment has experienced dramatic increases on U.S. campuses. Using a national dataset, the study explores and compares international and domestic students’ incoming and post-training levels of motivation to lead, leadership self- efficacy, and leadership skill using inverse-probability weighting of propensity scores to explore differences between the two samples. Unweighted findings suggest that international and domestic students enter programs similarly across in many ways, and leave the immersion program with similar gains. However, a matched-sample comparison suggests that international students’ growth was statistically different in ethical leadership skills, affective- identity motivation to lead, and leadership self-efficacy. Discussion focuses on the benefits of leadership development to international students why campuses could build partnerships between units that serve international students and leadership educators to facilitate a more inclusive campus.

There is strong evidence that year-long work placements make students more employable and produces better academic performance. Despite this, UK participation rates remain stubbornly low. The authors examine the influence of academic performance on students' willingness and ability to complete work placements.

This study’s novel conceptual framework distinguishes students by their intentions regarding work placements indicated at enrolment as well as whether they completed a work placement. The authors use a sample of 226 business and economics students, employing propensity score weighted multiple regression to analyse the influence of academic performance.

The results indicate that academic performance has a significant influence on the decision to include a work placement option at enrolment. For those students who do pursue work placements, first-year academic performance had a significantly positive impact on their ability to secure a placement job. Finally, completion of a work placement was beneficial to final year academic performance.

Work placements are beneficial. Since low academic performance deters students from pursuing such opportunities, universities may need to communicate the benefits better to encourage greater interest. Further, universities need to realistically manage the expectations of students with low academic performance who want to do work placements and provide targeted support during the application process. Furthermore, alternatives to work placements should be provided.

This research adds to the literature investigating the influence of academic performance through academic self-concept on students' investment decisions to include a work placement in their degree study and in students' ability to secure a work placement.

The purpose of this paper is to examine the earnings, employment and income effects of job displacement among female assistant and auxiliary nurses – two hard-hit female-dominated occupations – in Sweden during the economic crisis of the 1990s.

Using register data, assistant and auxiliary nurses who were displaced due to mass-layoffs during the crisis years were identified, as well as an appropriate control group. The study population could be followed for a maximum of 13 years. Mean effects were estimated using a propensity score weighted fixed effect estimator. In a supplementary analysis, propensity score weighted quantile effects were estimated.

Job loss among women in the public sector seems to have had similar earnings and employment consequences as previously found for job loss among men in the private sector. However, the social insurance system replaced a majority of the lost earnings. Moreover, a distributional analysis revealed that the income and earnings losses were limited to the lower part of the distributions.

Budget consolidation measures to restore health to public finances in the aftermath of the Great Recession are likely to have long-lasting adverse consequences for some. Although many of those losing their jobs are likely to quickly regain employment at a comparable earnings level, the unlucky few may bear most of the costs.

The author is aware of no previously published research that has investigated either the impact of job displacement in the public sector or the distributional effect of job displacement.