An Empirical Test of a Joint Model of Residential Mobility and Housing Choice

1985 ◽  
Vol 17 (7) ◽  
pp. 915-930 ◽  
Author(s):  
WAV Clark ◽  
J L Onaka
Keyword(s):  
Residential Mobility ◽  
Choice Model ◽  
Empirical Test ◽  
Rand Corporation ◽  
Housing Allowance ◽  
Final Model ◽  
Mnl Model ◽  
Neighborhood Choice ◽  
Choice Probabilities ◽  
Modelling Approach

A nested multinomial logit (MNL) model is used to estimate the joint choice of moving and housing selection. The coefficients are derived from a sequential application of the standard MNL model using maximum likelihood. The choice of the dwelling type is followed by choice of neighborhood and finally by the choice of moving or staying. The models are estimated for three household categories and nine neighborhoods with data from the Rand Corporation Housing Allowance Supply Experiment. The dwelling-type choice model fits reasonably well and shows the expected significant impact of space on dwelling choice. The neighborhood choice model has smaller coefficients and is less successful. The alternative specific constants play a much larger role in determining the choice probabilities for neighborhoods. The final model of mobility choice exhibits a good fit for all the household categories. The results provide overall support for the sequential modelling approach outlined in this paper.

Optimal Policy for Dynamic Assortment Planning Under Multinomial Logit Models

2021 ◽  
Author(s):  
Xi Chen ◽  
Yining Wang ◽  
Yuan Zhou
Keyword(s):  
Choice Model ◽  
Current Knowledge ◽  
Search Algorithm ◽  
Multinomial Logit ◽  
Planning Problem ◽  
Assortment Planning ◽  
Substitutable Products ◽  
Dynamic Decisions ◽  
Mnl Model ◽  
Regret Bound

We study the dynamic assortment planning problem, where for each arriving customer, the seller offers an assortment of substitutable products and the customer makes the purchase among offered products according to an uncapacitated multinomial logit (MNL) model. Because all the utility parameters of the MNL model are unknown, the seller needs to simultaneously learn customers’ choice behavior and make dynamic decisions on assortments based on the current knowledge. The goal of the seller is to maximize the expected revenue, or, equivalently, to minimize the expected regret. Although dynamic assortment planning problem has received an increasing attention in revenue management, most existing policies require the estimation of mean utility for each product and the final regret usually involves the number of products [Formula: see text]. The optimal regret of the dynamic assortment planning problem under the most basic and popular choice model—the MNL model—is still open. By carefully analyzing a revenue potential function, we develop a trisection-based policy combined with adaptive confidence bound construction, which achieves an item-independent regret bound of [Formula: see text], where [Formula: see text] is the length of selling horizon. We further establish the matching lower bound result to show the optimality of our policy. There are two major advantages of the proposed policy. First, the regret of all our policies has no dependence on [Formula: see text]. Second, our policies are almost assumption-free: there is no assumption on mean utility nor any “separability” condition on the expected revenues for different assortments. We also extend our trisection search algorithm to capacitated MNL models and obtain the optimal regret [Formula: see text] (up to logrithmic factors) without any assumption on the mean utility parameters of items.

scholarly journals Multi-route choice modelling in a metropolitan context: A comparative analysis using Multinomial Logit and Fuzzy Logic based approaches

2020 ◽  
Vol 79 (ET.2020) ◽  
pp. 1-17
Author(s):  
Sowjanya Dhulipala
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Choice Model ◽  
Route Choice ◽  
Fuzzy Rule ◽  
Multinomial Logit ◽  
Choice Modelling ◽  
Choice Behaviour ◽  
Linguistic Rules ◽  
Mnl Model

Route choice plays a vital role in the traffic assignment and network building, as it involves decision making on part of riders. The vagueness in travellers’ perceptions of attributes of the available routes between any two locations adds to the complexities in modelling the route choice behaviour. Conventional Logit models fail to address the uncertainty in travellers’ perceptions of route characteristics (especially qualitative attributes, such as environmental effects), which can be better addressed through the theory of fuzzy sets and linguistic variables. This study thus attempts to model travellers’ route choice behaviour, using a fuzzy logic approach that is based on simple and logical ‘if-then’ linguistic rules. This approach takes into consideration the uncertainty in travellers’ perceptions of route characteristics, resembling humans’ decision-making process. Three attributes – travel time, traffic congestion, and road-side environment are adopted as factors driving people’s choice of routes, and three alternative routes between two typical locations in an Indian metropolitan city, Surat, are considered in the study. The approach to deal with multiple routes is shown by analyzing two-wheeler riders’ (e.g. motorcyclists’ and scooter drivers’) route choice behaviour during the peak-traffic time. Further, a Multinomial Logit (MNL) model is estimated, to enable a comparison of the two modelling approaches. The estimated Fuzzy Rule-Based Route Choice Model outperformed the conventional MNL model, accounting for the uncertain behaviour of travellers.

scholarly journals Inequity under Equality: Research on the Benefits Equity of Chinese Basic Medical Insurance

2020 ◽  
Author(s):  
Li Diao ◽  
Yiwei Liu
Keyword(s):  
Health Care ◽  
Low Income ◽  
Choice Model ◽  
Empirical Test ◽  
Medical Insurance ◽  
High Income ◽  
Mechanism Analysis ◽  
Basic Medical Insurance ◽  
Income Groups ◽  
Basic Medical

Abstract Background: The pursuit of equity is one of the basic principles behind the strengthening of health care reform. China's new rural cooperative medical insurance (NRCMI) and urban residents' basic medical insurance (URBMI) are both “equalized” in terms of fundraising and reimbursement. This paper studies the benefits equity under this "equalized" system.Methods: The data analysed in this paper are from the China Family Panel Studies (CFPS) from 2014 to 2016, implemented by the Institute of Social Science Survey at Peking University. A two-part model and a binary choice model are used in the empirical test.Results: The empirical test revealed that high-income people benefit more from basic medical insurance than low-income people. Mechanism analysis demonstrated that high-income people have higher medical insurance applicability and can utilize better health care. Since low-income people are unhealthier, inequity in benefits exacerbates health inequity. We also found that the benefits equity of URBMI is better than that of NRCMI.Conclusions: The government needs to pay more attention to the issue of medical insurance inequity. We should consider allowing different income groups to pay different premiums according to their medical expenses or applying different reimbursement policies for different income groups.

scholarly journals Residential Choice Behaviour of Dual Earner Households: A Decompositional Joint Choice Model

1992 ◽  
Vol 24 (4) ◽  
pp. 517-533 ◽  
Author(s):  
H Timmermans ◽  
A Borgers ◽  
J van Dijk ◽  
H Oppewal
Keyword(s):  
Urban Planning ◽  
The Netherlands ◽  
Decision Process ◽  
Choice Model ◽  
Location Decision ◽  
Residential Choice ◽  
Choice Behaviour ◽  
Individual Preferences ◽  
Dual Earner ◽  
Modelling Approach

The residential location decision process has been studied for several decades with use of different approaches. One such approach that has received considerable attention in urban planning is the decompositional approach. This approach involves measuring individual preferences. Residential choice behaviour is, however, often the result of a joint decisionmaking process, especially in the case of dual earner households. In the present paper, the original modelling approach is therefore extended to a model of joint decisionmaking. The results of an empirical application in the context of residential choice behaviour in the Netherlands are described.

scholarly journals Inequity under Equality: Research on the Benefits Equity of Chinese Basic Medical Insurance

2020 ◽  
Author(s):  
Li Diao ◽  
Yiwei Liu
Keyword(s):  
Health Care ◽  
Low Income ◽  
Choice Model ◽  
Empirical Test ◽  
Medical Insurance ◽  
High Income ◽  
Mechanism Analysis ◽  
Basic Medical Insurance ◽  
Income Groups ◽  
Basic Medical

Abstract Background: The pursuit of equity is one of the basic principles behind the strengthening of health care reform. China's new rural cooperative medical insurance (NRCMI) and urban residents' basic medical insurance (URBMI) are both “equalized” in terms of fundraising and reimbursement. This paper studies the benefits equity under this "equalized" system.Methods: The data analysed in this paper are from the China Family Panel Studies (CFPS) from 2014 to 2016, implemented by the Institute of Social Science Survey at Peking University. A two-part model and a binary choice model are used in the empirical test.Results: The empirical test revealed that high-income people benefit more from basic medical insurance than low-income people. Mechanism analysis demonstrated that high-income people have higher medical insurance applicability and can utilize better health care. Since low-income people are unhealthier, inequity in benefits exacerbates health inequity. We also found that the benefits equity of URBMI is better than that of NRCMI.Conclusions: The government needs to pay more attention to the issue of medical insurance inequity. We should consider allowing different income groups to pay different premiums according to their medical expenses or applying different reimbursement policies for different income groups.

Evidence of Neighborhood Effects from Moving to Opportunity: Lates of Neighborhood Quality

2020 ◽  
Vol 102 (4) ◽  
pp. 633-647 ◽  
Author(s):  
Dionissi Aliprantis ◽  
Francisca G.-C. Richter
Keyword(s):  
Neighborhood Effects ◽  
Choice Model ◽  
Neighborhood Quality ◽  
Market Outcomes ◽  
Moving To Opportunity ◽  
Unobserved Component ◽  
Specific Effects ◽  
New Strategy ◽  
Local Average Treatment Effects ◽  
Neighborhood Choice

This paper estimates neighborhood effects on adult labor market outcomes using the Moving to Opportunity (MTO) housing mobility experiment. We propose and implement a new strategy for identifying transition-specific effects that exploits identification of the unobserved component of a neighborhood choice model. Estimated local average treatment effects (LATEs) are large, result from moves between the first and second deciles of the national distribution of neighborhood quality, and pertain to a subpopulation of nine percent of program participants.

Sign in / Sign up

Export Citation Format

Share Document