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The Heckman two-step estimator (Heckit) for the selectivity model is widely applied in Economics and other social sciences. In this model a non-zero outcome variable is observed only if a latent variable is positive. The asymptotic covariance matrix for a two-step estimation procedure must account for the estimation error introduced in the first stage. We examine the finite sample size of tests based on alternative covariance matrix estimators. We do so by using Monte Carlo experiments to evaluate bootstrap generated critical values and critical values based on asymptotic theory.

The purpose of this paper is to evaluate the impact of credit access on income and multidimensional poverty by providing an econometric framework.

The study is conducted in Assam, India and uses a quasi-experiment design to gather primary data. Econometric tools like Heckit procedure, Tobit selection equation and probit model are used for empirical purpose.

The paper finds that the level of individual welfare is influenced by equivalent factors. In addition, the study observes a larger incidence of poverty among treatment households of semiformal and informal borrowers. The study argues that formal sources are more effective in reducing the number of poor households by lifting those who are closest to the poverty line.

The study indicates a vicious circle of income and multidimensional poverty among semiformal and informal borrowers. By tradition, as rural Assam gets a dominant role of traditional community-based financial institutions, we should develop the banking structure by involving these institutions. The study excludes other probable explanatory variables while evaluating the impact of credit access on income and multidimensional poverty, and this limitation is left to future research.

This is probably the first empirical paper in Assam showing the impact of credit access on multidimensional poverty by adjusting for endogeneity and selection bias.

The purpose of this paper is to estimate a three‐equation model of US commercial bank usage of the Farm Service Agency's (FSA) guaranteed operating loan and interest assistance programs. Also, to identify the key farm and banking variables that affect the decision to use loan guarantees and the volume of loans with interest assistance.

A triple hurdle, three‐equation system is estimated to model three decisions: to participate in the FSA operating loan program; whether to use interest assistance given the decision to participate in the operating loan program; and then the degree of participation in the interest assistance program. Statistical selection is modeled. Data on almost all commercial banks in the USA from 1995 to 2003 are used in the estimation sample.

Statistical selection is statistically significant so selection must be included in the models. Variables reflecting state‐level characteristics such as farm debt servicing ratio, individual bank loan‐to‐asset ratio, bank size and the general guaranteed loan and interest assistance environment are significant in all three equations. Intensity of interest assistance use varies markedly across states.

The interest assistance program has high subsidy costs and is an important source of support for financially marginal farmers. Scant prior research has investigated this program. The present study also shows that modeling interest assistance usage must be embedded in a larger model to give a complete specification.

Presents a brief overview of some recent analytical developments in the economic analysis of discrimination. Discusses a range of theoretical issues and reviews recent empirical evidence.

The purpose of this paper is to examine the distribution of labor market experience among the unemployed in a less developed area in Greece (the north‐western region of Epirus), where unemployment has severe detrimental repercussions on the local workforce.

The paper uses a dataset, obtained through purpose built questionnaires used to assist the local authority in carrying out a regional, pilot, active labor market policy project financed by the European Commission and the Greek Government.

An ordinary least square regression was applied correcting for incidental truncation, in order to show that the duration of the prior unemployment spell negatively affects the duration of the current employment spell and vice versa, which highlights the phenomenon of an “unemployment trap”. Furthermore, those personal and socioeconomic characteristics which are responsible for causing jobless individuals to be “trapped” in the unemployment state are identified. Workers aged above 45, women, employees in sales and other service occupations, face significantly shorter complete spells of employment, along with longer duration of unemployment, hence suffering from self‐reinforcing unemployment.

The results show that a “scarring effect” appears to be in operation, as the duration of prior unemployment spell has deleterious effects on the duration of the subsequent employment and vice versa. This evidence provides additional insights for policymakers, who design measures for individuals vulnerable to unemployment in the less developed regions of the European Union.

The purpose of this paper is to investigate the innovation activities of Chilean firms by using micro-level data.

Micro-level data have been obtained from the World Bank, Enterprise Survey on 696 Chilean small and medium enterprises (SMEs). Bivariate probit estimation method has been used.

The results showed that SMEs are less likely to apply for patents and introduce product innovations. This outcome indicates that Chilean SMEs face resource constraint in terms of introducing product innovations and applying for patents. In addition, SMEs undertaking research and development (R&D) and making network ties with other research institutions are more likely to introduce patents and product innovations. Similarly, SMEs that are engaged in quality programs are more likely to spend on patents. Lastly, SMEs with public support for innovation activities positively influence the patent application.

Findings imply that SMEs investment in knowledge-based assets (e.g. R&D, networks and quality methods) accelerate their innovation output. Policy makers should not only provide financial incentives (R&D subsidies) to SMEs but also encourage their strong ties with research institutions for higher innovation output.

Previous studies showed research gap related to micro-level analysis of the Chilean SMEs. For the first time, multiple proxies have been used as dependent variables (product/process innovations and patent application/spending), which is neglected by the past studies.

This study aims to explore the effects of long-term orientation (LTO) and strategy formation mode on corporate social responsibility. While many researchers have investigated how large businesses address corporate social responsibility (CSR), there is little empirical evidence on how small- and medium-sized businesses implement CSR or what individual drivers shape this process.

The paper surveyed 282 small and medium-sized managers from the United Kingdom. The respondents were recruited using platform Prolific Academic.

The findings reveal that LTO is a prerequisite for developing CSR and shapes strategy formation mode. The findings also suggested that deliberate strategies are positively related to CSR. The results are consistent across different components of LTO (futurity, continuity and perseverance) and CSR types (internal and external).

The results show that all aspects of LTO are relevant for CSR in SMEs. Besides LTO, deliberate strategy formation model is an important factor contributing to CSR. The paper presents as first an empirical contribution to the strategy literature by examining positive relationship between LTO and deliberate strategy formation mode.

This study aims to find technologically important patent identification methods and indicators early and efficiently to grasp the technical qualitative level of patents, which are output indicators of research and development (R&D) results.

This paper reports on two methods for distinguishing important patents and the indicators obtained from those methods. One of the discrimination methods is Heckman's two-step estimation procedure. The second method is to find the centrality of each patent by network analysis of the citation relationship between publications and to find the importance from the magnitude of the centrality value.

In Heckman's analysis, the number of citations within three years after publication and the applicant's right acquisition/maintenance motivation index had positive effects on patent importance. The discriminative indicators of important patents by network analysis were degree centrality, mediation centrality, proximity centrality and transit values in the aggregated subnetworks. These two analytical methods are in a relationship that can complement each other's shortcomings. To efficiently evaluate the qualitative importance of patents, it is recommended to use these two methods together.

The indicators of important technical patents might change depending on the technical field. Future studies can apply this research to multiple technical fields to improve robustness and to construct an algorithm that can efficiently evaluate the quality of patents.

This study's results can be useful for grasping the patent position of the company or competitors numerically and for quantitatively evaluating the quality of R&D activities. Furthermore, it is possible to streamline the routine for an exploratory search of a huge number of patents. For example, it could be useful for detecting changes in the paradigm of specific technical knowledge, evolving the genealogy of technical knowledge and creating patent maps for new R&D. These methods greatly increase the effectiveness of technical knowledge information, which is the basis of R&D. In addition, the results of this study can help in evaluating patented assets.

This study confirmed the development process of technical knowledge. It is a fact that sharing, sympathy and mutual trust for technical issues and technical values are created among professional engineers and researchers inside and outside the organization, and their preferences and interactions develop and expand technical knowledge. Understanding the process of development and the evolution of this technical knowledge gives hints, such as expanding the discretionary power of engineers and researchers regarding corporate secrets, or reviewing the balance between control and independence, to solve Japanese management problems, which are often closed and monetized in R&D activities.

This study presents a scoring of the technical significance of patents by combining the two analytical methods. In addition, there are proposals as a method for detecting changes in the genealogy and paradigm of technical knowledge. As an analysis method, it is a new proposal that has never existed before.

This study intends to decompose the tourist choice process into two stages (decision to take a holiday and tourist expenditure), and to propose and test various expectations on the dimensions which explain the above decisions.

In order to simultaneously model the two decisions, we use a system of equations based on the Heckit model.

The dimensions affecting the decision to go on holiday are income, household size, education, size of the city of origin and opinion of going on holiday. The determinant factors influencing the level of expenditure are distance between origin and destination, type of accommodation, income, household size, age, marital status and length of stay. An important finding of this analysis is the differentiated effect of a given dimension on each decision.

The lack of information on some explanatory dimensions. Joint modelling. The spending decision should be modelled jointly with the decision to go on holiday due to the dependency between them.

The promotion of destinations should be developed with special attention paid to some faraway markets of origin, due to the expected propensity for these tourists to spend longer periods at the destination. The specialisation of destinations in terms of accommodation type and length of stay. The design of holiday packages should be adapted to the needs of the tourists identified, as they represent the most profitable tourist profiles.

The particular findings, and the research and practical implications proposed show the relevance of the topic analysed. Also, these aspects are backed by a sample of 3,781 individuals, which assures the robustness of the results.

This paper empirically assesses energy efficiency (EE) adoption among firms by examining the factors that drive investment in EE in the Onitsha plastic cluster, South-East, Nigeria.

Self-administered questionnaires were delivered to the selected enterprises. A total of 450 questionnaires were administered of which 423 were certified valid and used for the analysis. A Heckit model was developed and estimated.

Gender, firm size, Joneses effect and expected cost reduction benefits are the significant determinants of EE investment. However, firm structure, government incentives, regulatory requirements and reduction of carbon emission are insignificant drivers of EE investment decisions in the Onitsha plastic cluster.

This paper presents a foremost attempt at analysing the determinants of energy investment in a cluster in Nigeria.