Dynamic Housing Search Model Incorporating Income Changes, Housing Prices, and Life-Cycle Events

Rashidi, Taha Hossein

doi:10.1061/(asce)up.1943-5444.0000257

Cited by 16 publications

(5 citation statements)

References 29 publications

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“…Sklar 1959;Bhat and Sener 2009). Equation (11) is derived from a competing hazard concept but ends up being similar to what Sener, Eluru, and Bhat (2010) and Eluru et al (2010) presented for mutually exclusive outcomes to which the survival analysis literature refers as causespecific formulation (Rashidi 2014).…”

Section: Competing Hazard Function With a Copula Dependencymentioning

confidence: 96%

Application of a nested trivariate copula structure in a competing duration hazard-based vehicle transaction decision model

Rashidi

Mohammadian

2016

Transportmetrica A: Transport Science

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Vehicle ownership has been the subject of numerous transportation studies, which typically have adopted a variety of econometric frameworks at both aggregate and disaggregate choice modeling levels. These models have covered various aspects of vehicle ownership, including vehicle transaction behavior, number of vehicles held, vehicle type choice, and vehicle use. Vehicle transaction models have been developed in both static and dynamic paradigms. However, traditionally transaction timing has been overlooked in static vehicle ownership models despite the significant role that it plays in explaining vehicle ownership behavior. The decision about transaction type is typically assumed to be independently made; therefore, independent timing models are developed for each transaction type. This study aims to introduce a joint transaction type and timing model at the disaggregate level of individuals using a discrete competing proportional hazard model. The inter-correlation among multiple transaction types is modeled in this study by utilizing a set of multivariate Archimedean copula density functions to approximate the multivariate probability density function for the error terms of transaction types in a fully nested structure. ARTICLE HISTORY

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Section: Competing Hazard Function With a Copula Dependencymentioning

confidence: 96%

Application of a nested trivariate copula structure in a competing duration hazard-based vehicle transaction decision model

Rashidi

Mohammadian

2016

Transportmetrica A: Transport Science

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“…Models that are intended for examining the spread of long-term infectious diseases (Geard et al, 2013), residential location choice (Moeckel, 2016), and household expenditure (Lawson, 2014) would require their demographic components to accurately capture the household structure and composition of their simulated population. As an example, in the case of residential mobility, changes in the characteristics of a household such as the household composition and the number of household members can affect housing decisions of the household (Rashidi, 2015;Rashidi et al, 2011). Despite those differences, the core demographic processes that are responsible for population growth and family formation and dissolution, namely, marriage, divorce, birth, death, leaving parental home and migration can be found in most instances (Morand et al, 2010) with limitations on interaction and realisim of these processes.…”

Section: Projecting Population and Householdsmentioning

confidence: 99%

A demographic microsimulation model with an integrated household alignment method

Siripanich¹,

Rashidi²

2020

Preprint

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Many dynamic microsimulation models have shown their ability to reasonably project detailed population and households using non-data based household formation and dissolution rules. Although, those rules allow modellers to simplify changes in the household construction, they typically fall short in replicating household projections or if applied retrospectively the observed household numbers. Consequently, such models with biased estimation for household size and other household related attributes lose their usefulness in applications that are sensitive to household size, such as in travel demand and housing demand modelling. Nonetheless, these demographic microsimulation models with their associated shortcomings have been commonly used to assess various planning policies which can result in misleading judgements. In this paper, we contribute to the literature of population microsimulation by introducing a fully integrated system of models for different life event where a household alignment method adjusts household size distribution to closely align with any given target distribution. Furthermore, some demographic events that are generally difficult to model, such as incorporating immigrant families into a population, can be included. We illustrated an example of the household alignment method and put it to test in a dynamic microsimulation model that we developed using dymiumCore, a general-purpose microsimulation toolkit in R, to show potential improvements and weaknesses of the method. The implementation of this model has been made publicly available on GitHub, a code sharing platform.

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“…As a result, there is a growing interest in developing integrated travel demand and land use models with a special focus on residential and job location (Farooq and Miller, 2012;Pendyala et al, 2012;Rashidi and Mohammadian, 2011c;Rashidi et al, 2011;Salvini and Miller, 2005). The proposed residential mobility framework of this paper is part of a larger land use modelling structure that is integrated with the transport system models (Rashidi, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

A competing survival analysis for housing relocation behaviour and risk aversion in a resilient housing market

Rashidi

Ghasri

2017

Environment and Planning B: Urban Analytics and City Science

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Residential relocation decision making is a complicated process, and modelling this complex course of actions requires careful scrutinisation of different aspects. The relocation decision comprises several different decisions, including the reason for the relocation, relocation timing, and attributes of the desired residence. Among these decisions needing to be taken, the reason for relocation and its timing are decided earlier than others. Depending on the variant reasons and motivations for relocating, its timing may be accelerated or decelerated. Relocation usually occurs because of a multiplicity of reasons, which necessitates using a multivariate model for relocation decision making that is jointly modelled with the timing decision. A competing accelerated failure model to jointly formulate these decisions. The housing search literature emphasizes on the importance of considering financial risk acceptance level of decision makers in residential relocation decision models. Therefore, a binary logit model is used to model whether the decision maker is financially risk averse or not. This paper used longitudinal data collected in Australia from the Household, Income, and Labour Dynamics in Australia Survey. Further, the impact of group decision making on residential relocation is captured in this paper through the information provided in Household, Income, and Labour Dynamics in Australia Survey regarding the manner in which decisions are made within households.

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Dynamic Housing Search Model Incorporating Income Changes, Housing Prices, and Life-Cycle Events

Cited by 16 publications

References 29 publications

Application of a nested trivariate copula structure in a competing duration hazard-based vehicle transaction decision model

Application of a nested trivariate copula structure in a competing duration hazard-based vehicle transaction decision model

A demographic microsimulation model with an integrated household alignment method

A competing survival analysis for housing relocation behaviour and risk aversion in a resilient housing market

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