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I show that the equilibrium distribution of matches associated with the empirical transferable utility one-to-one matching (TUM) model introduced by Choo and Siow (2006a, 2006b) corresponds to the fixed point of system of K + L nonlinear equations; with K and L respectively equal to the number of discrete types of women and men. I use this representation to derive new comparative static results, showing how the match distribution varies with match surplus and the marginal distributions of agent types.

We provide a geometric formulation of the problem of identification of the matching surplus function and we show how the estimation problem can be solved by the introduction of a generalized entropy function over the set of matchings.

We develop and estimate an empirical collective model with endogenous marriage formation, participation, and family labor supply. Intra-household transfers arise endogenously as the transfers that clear the marriage market. The intra-household allocation can be recovered from observations on marriage decisions. Introducing the marriage market in the collective model allows us to independently estimate transfers from labor supplies and from marriage decisions. We estimate a semiparametric version of our model using 1980, 1990, and 2000 US Census data. Estimates of the model using marriage data are much more consistent with the theoretical predictions than estimates derived from labor supply.

We propose a methodology for estimating preference parameters in matching models. Our estimator applies to repeated observations of matchings among a fixed group of individuals. Our estimator is based on the stability conditions in matching models; we consider both transferable (TU) and nontransferable utility (NTU) models. In both cases, the stability conditions yield moment inequalities which can be taken to the data. The preference parameters are partially identified. We consider simple illustrative examples, and also an empirical application to aggregate marriage markets.

The authors propose an Markov Chain Monte Carlo (MCMC) method for estimating a class of linear sum assignment problems (LSAP; the discrete case of the optimal transport problems). Prominent examples include multi-item auctions and mergers in industrial organizations. This contribution is to decompose the joint likelihood of the allocation and prices by exploiting the primal and dual linear programming formulation of the underlying LSAP. Our decomposition, coupled with the data augmentation technique, leads to an MCMC sampler without a repeated model-solving phase.

Using micro data from CPS for the period 1995–2011 we investigate effects of Common Law Marriage (CLM) on labor outcomes and using the ATUS for the period 2003–2011 we study its effects on household production and leisure. Identification of CLM effects arises through cross-state variation and variation over time, as three states abolished CLM over the period examined in the CPS data. Labor supply effects of CLM availability are negative for married women: for instance, weekly hours of work are reduced by 1–2 hours. In addition, some CLM effects on married men’s labor supply are positive. Consequently, the abolition of CLM in some states helps explain the convergence of men and women’s labor supply. Negative CLM effects on married women’s labor supply are limited to white, Hispanic, college-educated women, and women with children. There is little evidence of effects of CLM on leisure and household production. A conceptual framework based on the concept of Work-In-Household, marriage market analysis, and the assumption of traditional gender roles helps explain gender differentials in the effects of CLM on labor supply and why these effects are larger for white and college-educated women.

This paper aims to predict the post-pandemic intention of Indian consumers to participate in tourism and hospitality T&H events by incorporating the perception of Covid-19 (PCOV) into the theory of planned behavior (TPB). It also examines the relationship among attitude, subjective norm, perceived behavioral control, behavioral intention and PCOV.

This research employed a quantitative research technique, with data collected using an online questionnaire-based survey from August 23 to October 29, 2021. The sampling approach is convenient, and the sample of this study is comprised of individuals who follow events pages on social networking sites.

The findings of SEM revealed that the proposed model has better explanatory and predictive power. The path analysis showed that all the variables of the TPB are significantly and positively associated with the post-pandemic intention to participate in the T&H events. However, the PCOV is negatively associated with the post-pandemic intention.

The results of this study give an idea about the post-pandemic intention of Indian consumers to participate in T&H events. The results of this study revealed important practical implications for event management organizations, travel agencies that deal in events, the T&H industry, tourism planners and other stakeholders, as these findings may be used to develop effective marketing strategies.

There has been a lot of research on TPB in the context of coronavirus, but to the best of the authors' knowledge, there is a gap in the literature regarding the intention to participate in T&H events. Hence, this research fills that gap.

Knowledge creation relies on melding powerful technological tools with efficient human organizations. Digital libraries (DLs) provide the technological mechanisms to cross national and disciplinary boundaries, and promote an organizational structure that encourages communication between scholars who are both creating and consuming information. The DL is especially good at coordinating and integrating findings about a specific topic that is being studied by different disciplines and different nations, which is an essential component to further our knowledge. This paper will briefly outline the knowledge creation process, and will introduce the author’s SEEK model (structure for encompassing extensible knowledge) that provides a framework for exploring the relationship between technology and human organizations in international interdisciplinary knowledge creation. The paper will also introduce two models of electronically‐based scholarly organizations that promote international collaboration and facilitate knowledge creation, and will offer eight steps towards building the effective organization for utilizing DLs for international collaboration.

This paper aims to indicate the importance of including residents in the rebranding of a destination.

This article is based on a literature review.

The World Tourism Organization recently adapted the United Nations' 17 Sustainable Development Goals (SDGs) to show their relevance to tourism. The quality of life of the residents was a common theme of these goals. Through a review of literature, the paper identified the negative and positive effects of tourism on the residents' quality of life. This was done to show how destination management organizations (DMOs) could design and manage their tourism activities to avoid the negative effects on residents and maximize the positive benefits.

As tourist destinations strive to meet sustainability goals, we argue that many will have to be rebranded. The paper shows how through the rebranding process the destination can create brand identity elements that communicate as well as guide their sustainability efforts. Also, just as corporations need to include and have employees that believe and support the company's brand identity elements, DMOs must include residents in the branding process and gain their support of the destination's brand identity elements. As practical implications for DMOs, the paper shows the importance of developing tourism policies that will enhance the life of residents, demonstrating how this can be accomplished through a rebranding process. As research implications, there is a call for researchers to measure the results of destination's rebranding efforts including the satisfaction of residents as a construct. To accomplish this there is also a need to develop a reliable and valid scale of resident satisfaction with tourism polices.