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The authors’ conclusions are based on mathematical derivations that are supported by computer simulations and three worked examples in applications of economics and finance. Finally, the authors provide a link to a computer program so that researchers can perform the analyses easily.

Based on a parameter estimation goal, the present work is concerned with determining the minimum sample size researchers should collect so their sample medians can be trusted as good estimates of corresponding population medians. The authors derive two solutions, using a normal approximation and an exact method.

The exact method provides more accurate answers than the normal approximation method. The authors show that the minimum sample size necessary for estimating the median using the exact method is substantially smaller than that using the normal approximation method. Therefore, researchers can use the exact method to enjoy a sample size savings.

In this paper, the a priori procedure is extended for estimating the population median under the skew normal settings. The mathematical derivation and with computer simulations of the exact method by using sample median to estimate the population median is new and a link to a free and user-friendly computer program is provided so researchers can make their own calculations.

This study investigates the effect of renting in land on farm productivity, and the impacts of rented-in land size and transaction partner type on farm productivity.

Data from the 2015 China Household Finance Survey are analyzed using an extended regression model and the two-stage least squares method.

Farm households that rent in land are likely to achieve higher farm productivity, and ignoring endogeneity underestimates the positive effect of land renting-in. Further evidence indicates that rented-in land size has an insignificant impact on farm productivity, and that there is no difference in farm productivity between lessees renting-in land from acquaintances and those renting-in land from non-acquaintances. These results may be caused by the higher degree of marketization of land rentals between acquaintances in China. With increasing competition in agricultural factor markets, in theory, rented-in land size should not affect farm productivity.

Overall, the analysis suggests that renting in land improves farm productivity, which supports the land transfer policies that have been rolled out in recent decades in China. However, our finding that rented land size does not affect farm productivity, consistent with the results in the literature, implies that the Chinese government should no longer subsidize or prefer large farms with low productivity. More attention should be paid to small lessees and market-oriented land rentals between acquaintances. Promoting the marketization of land transfers inside acquaintance networks could realize the potential of the land market, especially if land transfers decrease.

This study identifies the effects of renting in land, rented-in land size and type of rental transaction partner on farm productivity using nationally representative data. The findings imply that the government should pay more attention to the marketization of land rentals between acquaintances. Although existing studies regard land rental between acquaintances as informal and of low efficiency, the recent evidence shows that China's land markets are changing, and policy makers should adjust their policies accordingly.

The normal error distribution for the observations and log-volatilities in a stochastic volatility (SV) model is replaced by the Student-t distribution for robustness consideration. The model is then called the t-t SV model throughout this paper. The objectives of the paper are twofold. First, we introduce the scale mixtures of uniform (SMU) and the scale mixtures of normal (SMN) representations to the Student-t density and show that the setup of a Gibbs sampler for the t-t SV model can be simplified. For example, the full conditional distribution of the log-volatilities has a truncated normal distribution that enables an efficient Gibbs sampling algorithm. These representations also provide a means for outlier diagnostics. Second, we consider the so-called t SV model with leverage where the observations and log-volatilities follow a bivariate t distribution. Returns on exchange rates of Australian dollar to 10 major currencies are fitted by the t-t SV model and the t SV model with leverage, respectively.

Bayesian Econometrics is a volume in the series Advances in Econometrics that illustrates the scope and diversity of modern Bayesian econometric applications, reviews some recent advances in Bayesian econometrics, and highlights many of the characteristics of Bayesian inference and computations. This first paper in the volume is the Editors’ introduction in which we summarize the contributions of each of the papers.

Total farmland value exceeds its value in agriculture but is not directly perceptible to villagers in China. Thus, the exceeded part is often neglected when discussing farmer’s land transaction decision. This study aims to revisit the question about how land titling project affects farmer’s land renting-out and investigate how this unobservable land value would distort the intentional effects of land titling.

This paper first modifies a two-period model by incorporating the unobservable part of land value into the farmers’ leasing decision problem. Following the implications from the theoretical analysis, this study then exploits the difference-in-differences and the triple-differences approach to confirm the distorting effects that are resulted from the unobservable land value.

The modified theoretical model of this study reveals that land titling would encourage farmers to rent out land when the unobservable land value is predicted to be low but discourage farmers’ willingness to rent-out when this value is predicted to be high. The core reason for this significant conclusion lands in the uncertainty of the unobservable land value. Empirical analysis then provided two evidences for this presumption. Furthermore, this study also gave a disproof of the argument that the uncovered discouraging effect is due to a stronger endowment effect.

This paper contributes to the literature by highlighting the unobservable land value in the farmers’ land-related decisions. This part of land value is always neglected in previous discussions about the land tenure system, but it would cause distorting effects especially in regions without private land ownership.

The purpose of this research study was to examine the international transfer of kaizen or continuous improvement. The central research question was formulated as: what national level factors influence the transfer of kaizen, and how?

In the study, a survey interview was followed with semi-structured interviews. The study focused on Japanese subsidiaries in The Netherlands. A total of 15 companies participated in the research.

Two main national level factors, not previously identified in the literature, were found: the level of eagerness of employees and the level of discipline of employees. It was also found that, based on these two factors, transferring kaizen to The Netherlands is very challenging.

The research was limited to kaizen transfer from Japan to The Netherlands.

Companies benefit from this research because it contributes to understanding the relative ease of transferring kaizen. Having this understanding aids companies with planning the transfer of kaizen and its implementation.

Several studies have examined the international transfer of kaizen and/or the international transfer of Japanese management systems. Some studies have identified national level factors as being important but understanding of how and why the factors play a role has been underdeveloped. Furthermore, companies are still struggling with the international transfer of kaizen. This study on kaizen transfer found two previously unidentified key factors, the reasons for their occurrence, and how they influence the transfer. This allows an improved understanding.

The authors aim to determine the effects of Global Lesson Study (GLS) – a two-year, one-cycle program defined as “international cooperative lesson study through international exchange among teachers using ICT” – on intercultural competence for lesson study based on pre- and post-survey conducted for Japanese teachers.

In accordance with the GLS program, mathematics lesson studies on mathematics between Japanese and Singaporean elementary school teachers were conducted over a two-year period. Questionnaire surveys on intercultural competence for lesson study was conducted using 7-point Likert scale and descriptive questions with Japanese teachers (N = 5). Analysis of Wilcoxon's signed rank test and correlation analysis were conducted.

Followings are identified as the effects of GLS for Japanese teachers: (1) Japanese participants felt improvement of their competence in areas of attitude, internal outcomes and outward impact. (2) Participating in a GLS led to the improvement of Japanese teachers' qualities and abilities for subject teaching related to mathematics education. (3) Improvement of intercultural competence for lesson study was related to each other, and GLS led to improvement of these competences. (4) It was meaningful to have a two-year period to assimilate and adjust to independent experience of the host and guest.

The GLS led to teacher empowerment among this sample, not only as cooperative research, but also at the individual level of teachers where participants continued to develop lessons based on the GLS learning after study completion. This has important implications for the implementation and dissemination of the GLS.

To respond to the COVID-19 “infodemic” and combat fraud and misinformation about the virus, social media platforms coordinated with government healthcare agencies around the world to elevate authoritative content about the novel coronavirus. These public health authorities included national and global public health organisations, such as the Centers for Disease Control and Prevention (CDC) and the World Health Organisation (WHO). In this article, the authors evaluate the effectiveness of this strategy by asking two key questions: (1) Did people engage with authoritative health content on social media? (2) Was this content trusted?

The authors explore these issues by drawing on data from a global online questionnaire on “Public Trust in Experts” (n = 429) conducted during the initial phase of the pandemic in May 2020, a crucial period when reliable information was urgently required to influence behaviour and minimise harm.

The authors found that while the majority of those surveyed noticed authoritative health content online, there remained significant issues in terms of Internet users trusting the information shared by government healthcare agencies and public health authorities online.

In what follows, the authors examine the role of trust in implementing this novel public health strategy and assess the capacity for such policies to reduce individual and social harm.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2021-0655