Locational choice of AFDC recipients within California: a conditional logit analysis

This study provides new evidence on the debate of job opportunities versus urban amenities in determining the locational choice of migrants. We employ a conditional logit model to generate credible estimates, using two large representative data sets on China’s internal migrants. Our findings confirm that both job opportunities and amenities play consistent and salient roles in the geographical choice of internal migrants, while highly skilled migrants tend to attach more importance to urban amenities. Additionally, China’s household registration system seems to play an undeniable role: migrants are increasingly shunning cities providing better quality public services that are still largely inaccessible to temporary migrants in China.

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Conditional Logit Analysis of FCC Decisionmaking

The Bell Journal of Economics ◽

10.2307/3003343 ◽

1979 ◽

Vol 10 (2) ◽

pp. 399 ◽

Cited By ~ 6

Author(s):

Margaret F. Barton

Keyword(s):

Logit Analysis ◽

Conditional Logit

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Effects of Rank-Ordered Feature Perceptions of Energy Sources on the Choice of the Most Acceptable Power Plant for a Neighborhood: An Investigation Using a South Korean Nationwide Sample

Sustainability ◽

10.3390/su11061530 ◽

2019 ◽

Vol 11 (6) ◽

pp. 1530 ◽

Cited By ~ 2

Author(s):

Seungkook Roh ◽

Jin Lee ◽

Qingchang Li

Keyword(s):

Economic Development ◽

Power Plant ◽

South Korea ◽

Job Creation ◽

Nationwide Survey ◽

Energy Sources ◽

Logit Analysis ◽

South Korean ◽

Conditional Logit ◽

Practical Implications

The present study incorporates a competitive context into an individual’s response to the construction of a power plant in his/her neighborhood and the determinants of this response. The study adopts an individual’s rank-ordered feature perceptions of competing energy sources to reflect the individual’s comparative perceptions of the sources regarding the features, and it investigates the effects of these perceptions on his/her choice of the most acceptable power plant in the area where he/she lives. Our mixed conditional logit analysis of nationwide survey data from South Korea demonstrated the following: among the rank-ordered feature perceptions, the perceptions regarding safety and eco-friendliness significantly predict an individual’s choice of the most acceptable power plant for his/her neighborhood, while those regarding affordability, contribution to economic development, and job creation do not. In addition, among those significant features, safety was found to be a stricter criterion than eco-friendliness. The selective significance of the feature perceptions and the differentiated criteria between the significant features provide practical implications for professionals in energy industries, as well as theoretical implications for researchers.

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The Fallacy of an Airtight Alibi: Understanding Human Memory for “Where” Using Experience Sampling

Psychological Science ◽

10.1177/0956797620980752 ◽

2021 ◽

pp. 095679762098075

Author(s):

Elizabeth Laliberte ◽

Hyungwook Yim ◽

Benjamin Stone ◽

Simon J. Dennis

Keyword(s):

Decision Process ◽

Ground Truth ◽

Human Memory ◽

Logit Analysis ◽

Relative Importance ◽

Conditional Logit ◽

Choice Procedure ◽

Adult Participants ◽

Record Data ◽

Forced Choice Procedure

A primary challenge for alibi-generation research is establishing the ground truth of real-world events of interest. In the current study, we used a smartphone app to record data on adult participants ( N = 51) for a month prior to a memory test. The app captured accelerometry data, GPS locations, and audio environments every 10 min. After a week-long retention interval, we asked participants to identify where they were at a given time from among four alternatives. Participants were incorrect 36% of the time. Furthermore, our forced-choice procedure allowed us to conduct a conditional logit analysis to assess the different aspects of the events that the participants experienced and their relative importance to the decision process. We found strong evidence that participants confuse days across weeks. In addition, people often confused weeks in general and also hours across days. Similarity of location induced more errors than similarity of audio environments or movement types.

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Status Aversion, Attraction and Discrepancy as Drivers of Neighborhood Selection

City and Community ◽

10.1111/cico.12435 ◽

2019 ◽

Vol 18 (3) ◽

pp. 937-964

Author(s):

George Galster ◽

Lena Magnusson Turner

Keyword(s):

High Income ◽

Logit Analysis ◽

Population Register ◽

Income Segregation ◽

Conditional Logit ◽

Income Groups ◽

Potential Efficacy ◽

Neighborhood Selection ◽

Widespread Phenomenon ◽

The Individual

Neighborhood income segregation is a widespread phenomenon. We explore its origins by modeling neighborhood selection by native Norwegian households making inter–neighborhood moves, distinguishing influences of shares of three income groups and the discrepancy between the individual household's income and neighborhood median. We conduct a conditional logit analysis employing 2013–2014 population register data from the Oslo, Norway, metropolitan area. We find that status composition (shares of low– and high–income households) and status discrepancy (difference between individual household's and neighborhood median disposable incomes) critically shapes neighborhood selection, though heterogeneously across income groups. All income groups sort into neighborhoods that have more of their own status group in residence. Middle– or high–income households avoid neighborhoods with above–average shares of low–status households and median incomes that are higher than their own. High–income households are more attracted to a place the greater the superiority of their incomes compared to the neighborhood median. Our findings suggest that although the drivers of residential income segregation are powerful, public policies aimed at neighborhood diversification have potential efficacy nevertheless.

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The Fallacy of an Airtight Alibi: Understanding Human Memory for Where Using Experience Sampling

10.31234/osf.io/6rce5 ◽

2020 ◽

Author(s):

Elizabeth Laliberte ◽

Hyungwook Yim ◽

Benjamin Stone ◽

Simon Dennis

Keyword(s):

Ground Truth ◽

Human Memory ◽

Logit Analysis ◽

Relative Importance ◽

Conditional Logit ◽

Choice Procedure ◽

Adult Participants ◽

Record Data ◽

Sound Environment ◽

Forced Choice Procedure

A primary challenge for alibi generation research is establishing the ground truth of the real world events of interest. We used a smartphone app to record data on adult participants for a month prior to a memory test. The app captured their accelerometry continuously and their GPS location and sound environment every ten minutes. After a week retention interval, we asked participants to identify where they were at a given time from among four alternatives. Participants were incorrect 36% of the time. Furthermore, our forced choice procedure allowed us to conduct a conditional logit analysis to assess the relative importance of different aspects of the events to the decision process. We found strong evidence that participants confuse days across weeks. In addition, people often confused weeks in general and also hours across days. Similarity of location induced more errors than similarity of sound environments or movement types.

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