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The data from the Swiss Labour Force Survey (SAKE) have been widely used to estimate wage functions, which in turn have been applied for the determination of wage discrimination between genders. One serious problem with the SAKE data is that about 17 per cent of employed individuals did not report wages. Those studies which use the SAKE data to estimate wage functions simply ignore these non‐respondents. Such an approach could lead to a serious selectivity bias if the response decision is not purely random. In this study this issue is analysed in a double‐selectivity framework, in which both this response decision and the usual market‐participation decision are modelled. Although the response decision can be partially explained by certain socio‐economic variables, a large degree of randomness/unexplained variation exists. The authors therefore conclude that, in the absence of a better model, the standard approach at estimating wage functions (i.e. only correcting for the selectivity bias arising from women’s participation decision) is the most appropriate one.

The authors consider how the mode of data collection (Internet vs. paper) alters individuals’ responses to different types of survey questions, including subjective, recall, and factual questions. The authors isolate the measurement effect of the mode from the sample selection effect by exploiting predata in a convenience consumer panel. The authors propose using panelists’ reward point balance as exclusion restriction to correct for differing response probabilities by mode, because the reward point balance depends on the timing of the survey invitations and is a source of random variation in response incentive. The authors evaluate average and quantile measurement effects in a mixed-mode Web/paper survey and find statistically significant evidence of mode effects in subjective and recall questions.

The purpose of this paper is to analyze the impact of farmers’ agricultural production mode transformation, from the perspective of agricultural division of labor and cooperation, on their agricultural production efficiency including technical efficiency, pure technical efficiency and scale efficiency.

This paper analyzes the impact of the agricultural production mode’s transformation on farmers’ agricultural production efficiency, based on the classical theory of division of labor and specialization, transaction costs and cooperation. It uses 2013 survey data from 396 farms in 15 Chinese provinces to explore the contributing factors of agricultural production efficiency using a double selection model (DSM), which can correct the endogenous selection bias in farmers’ decisions.

Farmers that participate in agricultural division of labor and cooperation means transform their agricultural production from a traditional self-sufficient mode to one that is specialized and intensive. Agricultural division of labor measured by farmers’ participation in an agricultural division of labor in the production stages, or in agricultural products, and agricultural cooperation measured by farmers’ participation in farmers’ cooperatives significantly and positively influence their agricultural production efficiency after correcting farmers’ endogenous selection bias.

This paper proposes a unified framework to analyze the impact of farmers’ agricultural production mode transformation on their production efficiency. Further, it builds a DSM for an empirical analysis to avoid the endogenous biases in farmers’ self-selection behavior. This paper also provides ways for policy makers to improve farmers’ agricultural production efficiency from the modern agricultural production perspective.

The purpose of this paper is to explore the factors that affect farmer’s decision to allocate credit for livestock production. The results are expected to contribute to the understanding of what motivates smallholders to allocate credit to agricultural production in general and livestock production in particular. A better understanding of the farmers’ behavior in allocating credit for livestock would provide useful information for project implementers and financial institutions that work with small-scale livestock producers.

A cross-section data set collected in 2014 from 5,000 households and 497 rural communities in the major highland regions of Ethiopia is examined. The authors developed a conceptual framework for credit allocation decision. Percentiles, means, and standard deviation as well as t, χ² and Fisher’s exact tests for association and Cramer’s V measure for strength of association have been used to describe the status of farmer’s access to credit and analyze credit utilization, while a three-stage probit model with double sample selection is used to identify factors that affect household’s decision to allocate credit for livestock production.

After controlling for potential selection biases, sex and literacy status of household head, land size, wealth and access to livestock centered extension service are found to have a statistically significant effect on farmers’ decision to allocate credit to livestock production. The results showed female-headed households, wealthy farmers, farmers with small plot of land and farmers that have access to livestock centered extension services are more likely to allocate the credit for livestock production. The results suggest that policies aimed at improving access to credit together with access to livestock focused extension service are more effective in increasing livestock production.

The study’s findings should be viewed with perspective and caution, as only households with excess demand for credit were the subject of the research.

The contribution of this paper is twofold. First, it is one of a very few empirical studies that try to identify factors that affect households credit allocation to livestock in systematic way that removed confounding effects using three-stage probit models. Given the emphasis on financial constraints in livestock development, new empirical insights on household credit allocation are essential to better inform development interventions. Second, the analysis relies on a comprehensive data set that represents the major agricultural system of the country.

Employers regularly complain of a shortage of qualified scientists and advocate that to remain competitive more scientists need to be trained. However, using a survey of graduates from British universities, I report that 3 years after graduation less than 50% of graduates from science subjects are working in a scientific occupation.

Accounting for selection into major and occupation type, I estimate the wages of graduates and report that the wage premium of science graduates only occurs when these graduates are matched to a scientific occupation – and not because science skills are in demand in all occupations. I also provide additional evidence to assess whether science graduates are pushed or pulled into non-scientific occupations. Altogether, the evidence does not support the claim that science graduates are pulled by better conditions, financial or otherwise, into non-scientific jobs.

The purpose of this paper is to highlight the pivotal role of overeducation in explaining the unexplained part of the gender pay gap (GPG), i.e. the component usually attributed to gender discrimination in the Oaxaca-Blinder decomposition.

The study uses a large Italian data set (ISFOL PLUS 2005–2014) to estimate the GPG among properly educated and overeducated workers. The model simultaneously accounts for both participation bias and endogeneity bias by applying an extension of the Heckman’s two-stage procedure.

Estimates show that the GPG is significantly higher among overeducated than among properly educated workers because women’s unobservable characteristics driving female employment into overeducation also drag down female wages more than men’s unobservable characteristics drag down male wages. Correcting for the participation and overeducation decisions, the unexplained portion of the GPG disappears among overeducated workers, while it remains significant among properly educated individuals.

The authors draw the conclusion that overeducation is, first, a first-best matching for individuals (both men and women) compensating with more education for their lower productive characteristics. Second, it may be a signaling device for women spending their useless-for-the-job diploma to inform employers on their valuable though unobservable productive characteristics and fight gender wage discrimination. The results favor education as a tool of counteracting gender discrimination. Hence, as females are less overeducated than males despite their larger representation in higher education, there should not be concern that expanding higher education will disadvantage females.

The purpose of this paper is to identify factors that affect farm acceptance of the new seeds. This paper develops a Bivariate Probit model with adjusted sample selection bias to analyze Chinese farmers' sequential decision‐making process in their adoption of plant new varieties (new seeds) under the new Variety Property Right Protection System.

Face‐to‐face interviews with farm households in 22 provinces were used to gather questionnaire information. A total of 341 surveys were collected and analyzed using a Bivariate Probit model adjusted for sample selection bias problems. Descriptive statistics for each selected variable used in the model are also presented.

This study concluded that farm location, land size, farm perceived dealer reputation, and farmer‐to‐farmer word‐of‐mouth information were found to be important factors that affect farm adoption of new seeds.

This study is based on first‐hand survey information collected by the researchers. Thus, the results are original and were not published elsewhere.

The purpose of this paper is to estimate the effect of mobility on the apprentices’ wages.

Using a French longitudinal survey concerned with young people’s entry into the labor market and their subsequent employment trajectories, this paper estimates the impact of mobility on post-apprenticeship wages correcting for different selection bias.

Mobility is both voluntary and enforced. It combines imposed selection mechanisms and more active match searching behaviors on the part of apprentices. Apprentices who change employer do not have significant lower starting wages than those who remain in their training firms. Nevertheless, in the medium term, those who defer their moves tend to benefit more from their mobility. Those who move immediately see their wage rising less sharply.

The findings indicate that policy makers should be concerned with job mobility at the end of the apprenticeship contract. Manpower policies should focus on measures that enhance the transferability of accumulated skills and the acquisition of new skills by apprentices.

To the author’ best knowledge, this is the first paper studying the effect of mobility on apprentices’ wages in a dynamic perspective and correcting for the selection of different categories of mobility (immediate vs deferred mobility).

In marketing, most research on intention–behavior consistency (IBC) is dedicated to improving the predictive ability of stated intentions for future behaviors, with relatively less exploration into the precursors of IBC, especially those linked to regular durable goods void of ethical consumption characteristics. This study aims to focus on the antecedents of IBC for such products, specifically examining category-level and product-level IBC in light of consumer knowledge.

The authors conducted a two-round survey to collect 3,560 Chinese consumers' vehicle purchase intentions and behaviors. The authors have also leveraged a large vehicle database (containing detailed vehicle attribute information) to measure consumer product knowledge (i.e. product judgment accuracy). A trivariate probit model was proposed to account for the potential selection bias arising from sample attrition while examining the effects of consumer knowledge on category- and product-level intention-behavior consistency.

Findings reveal that 47% of the participants displayed category-level IBC, and within this group, a further 39% exhibited product-level IBC. Notably, product knowledge, manifested as accurate product judgment, correlates negatively with category-level IBC but positively with product-level IBC. Intriguingly, the negative association between inaccurate judgment and product-level IBC is less pronounced for consumers overestimating the target product than for those underestimating it. Furthermore, consumers with direct experience are less prone to show category-level IBC, but are more inclined to display product-level IBC.

Vehicle marketers should prioritize consumers who show interest in their products but possess inaccurate knowledge, to retain whom companies can nurture their product knowledge. As for consumers with accurate knowledge, companies should try to expedite their purchase. Vehicle marketers also need to devise suitable advertising strategies to prevent consumers from undervaluing their products. For those overestimating competitors' products, companies can provide information to correct their overestimation and draw attention to possible confirmation biases. Vehicle marketers should encourage potential buyers who have shown interest in their product to participate in test-drive events, exhibitions, and other direct experience opportunities. Yet, for consumers still in the “whether-to-buy” decision-making phase, companies should not rush them into a test drive.

In the policy-making realm, governmental administrators can implement extensive consumer education programs, with a focus on the importance of product knowledge. This may involve providing consumers with accurate information and buying guides through various channels, which can help consumers make informed purchase decisions. Moreover, to foster healthy competition among vehicle companies, governmental administrators can establish regulations that require vehicle companies and other relevant industries to provide accurate and transparent product information, including performance, safety, and environmental aspects. Finally, in order to protect consumer rights, governmental administrators can also strengthen regulations to ensure fair treatment and safeguards for consumers throughout the purchasing process. This includes cracking down on false advertising and fraudulent practices, maintaining market order, and enhancing consumer confidence and purchase consistency.

This study is among the first attempts to examine the relationship between consumer knowledge and intention-behavior consistency, especially for regular durable products void of ethical consumption characteristics. Responding to the call of previous literature (e.g. Morwitz, 1997), the authors distinguish between and examine two forms of intention-behavior consistency simultaneously (using a sample selection model) and obtain more reliable conclusions. Moreover, the study's large-scale two-round survey had obtained individual-level purchase behavioral outcomes, which allowed the authors to measure each consumer's IBC at both category and product levels. More importantly, the authors show the opposite effects of consumer knowledge on the two forms of intention-behavior consistency.

The purpose of this paper is to explore the determinants of self‐employment among rural to urban migrants in China.

The analysis is based on a sample of migrant household heads from the 2008 Rural‐Urban Migration in China and Indonesia (RUMiCI) survey. An estimate of the wage differential between self‐employed and employed workers is obtained by means of an endogenous switching model and used to estimate the employment choice. The procedure is extended to account for migration selectivity bias, for alternative statuses before migration, and for different post‐migration employment histories.

Self‐employed migrants are positively selected with respect to their unobserved characteristics; their wages are substantially higher than what they would have obtained had they chosen paid work. Furthermore, even after accounting for the substantial heterogeneity across cities, industries, occupations, and after correcting for the migration selectivity bias, the wage differential is found to be an important determinant of self‐employment.

The finding that market imperfections do not constrain the self‐employment choice of migrants does not imply that reforms designed to eliminate institutional barriers are undesirable. Policy should target the reduction of gaps between urban residents and migrants (such as the household registration system – hukou), so that migrants can access new business opportunities which are currently a prerogative of urban residents.

The paper analyses the determinants of self‐employment using a recent survey based on a sample of rural‐to‐urban migrants in China. The key findings indicate that migrants who choose self‐employment are positively selected in terms of their unobservable characteristics. Moreover, the wage differential has a strong positive effect on the probability of choosing self‐employment. In the transition to a market economy, which is taking place in China, the identification of the determinants of self‐employment is crucial.