Femlogit—Implementation of the Multinomial Logit Model with Fixed Effects

Pforr, Klaus

doi:10.1177/1536867x1401400409

Cited by 81 publications

(49 citation statements)

References 12 publications

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“…There are thus strong grounds for preferring an MNL model with fixed effects, as proposed by Chamberlain (). We estimate such a model using the estimator recently developed by Pforr ()…”

Section: Method: Modelling Employment Transitionsmentioning

confidence: 99%

“…There are thus strong grounds for preferring an MNL model with fixed effects, as proposed by Chamberlain (1980). We estimate such a model using the estimator recently developed by Pforr (2014). 5 That said, although it seems entirely reasonable to make the assumption that the main source of omitted variables is time-invariant individual differences in, for example, motivation or ability, there may also be unobserved time-varying differences between individuals and, perhaps more interesting, unobserved differences at the firm level.…”

Section: Method: Modelling Employment Transitionsmentioning

confidence: 99%

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Work‐Related Training and the Probability of Transitioning from Non‐Permanent to Permanent Employment

McVicar

Wooden

Leung

et al. 2016

Brit J Industrial Rel

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It is widely believed that work‐related training increases a worker's probability of moving up the job‐quality ladder. This is usually couched in terms of effects on wages, but it has also been argued that training increases the probability of moving from non‐permanent forms of employment to more permanent employment. This hypothesis is tested using nationally representative panel data for Australia, a country where the incidence of non‐permanent employment, and especially casual employment, is high by international standards. While a positive association between participation in work‐related training and the subsequent probability of moving from either casual or fixed‐term contract employment to permanent employment is observed among men, this is shown to be driven not by a causal impact of training on transitions but by differences between those who do and do not receive training, that is selection bias.

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“…There are thus strong grounds for preferring an MNL model with fixed effects, as proposed by Chamberlain (). We estimate such a model using the estimator recently developed by Pforr ()…”

Section: Method: Modelling Employment Transitionsmentioning

confidence: 99%

Section: Method: Modelling Employment Transitionsmentioning

confidence: 99%

Work‐Related Training and the Probability of Transitioning from Non‐Permanent to Permanent Employment

McVicar

Wooden

Leung

et al. 2016

Brit J Industrial Rel

View full text Add to dashboard Cite

show abstract

“…We prefer a linear OLS specification as this provides a clear interpretation of marginal effects on the original scale. In contrast, for longitudinal (non-linear) binary and multinomial logit response models with fixed effects, the intuitive interpretation of estimates as predicted probabilities (or various types of marginal effects) is not a viable option because the unobserved heterogeneity vector of person fixed effects is not estimated (see for example Pforr (2014) for a more detailed discussion).…”

Section: Panel Regressionmentioning

confidence: 99%

What did you Really Earn Last Year?: Explaining Measurement Error in Survey Income Data

Angel

Disslbacher

Humer

et al. 2019

Journal of the Royal Statistical Society Series A: Statistics in Society

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Summary The paper analyses the sources of income measurement error in surveys with a unique data set. We use the Austrian 2008–2011 waves of the European Union ‘Statistics on income and living conditions' survey which provide individual information on wages, pensions and unemployment benefits from survey interviews and officially linked administrative records. Thus, we do not have to fall back on complex two‐sample matching procedures like related studies. We empirically investigate four sources of measurement error, namely social desirability, sociodemographic characteristics of the respondent, the survey design and the presence of learning effects. We find strong evidence for a social desirability bias in income reporting, whereas the presence of learning effects is mixed and depends on the type of income under consideration. An Owen value decomposition reveals that social desirability is a major explanation of misreporting in wages and pensions, whereas sociodemographic characteristics are most relevant for mismatches in unemployment benefits.

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“…The data also includes full-time students who may be renting elsewhere and yet to form separate households. The multinomial fixed-effects logistic regression 8 specification employed in this section is derived from the combination of different probabilities (Pforr, 2014;StataCorp, 2013 1, for example, denotes the probability of an individual 'i' moving into a different tenure at a time 'j' relative to remaining in the tenure of origin, and β represents the coefficients of our covariates X. The same procedure is also repeated in (2) and (3) in each model.…”

Section: Data and Model Specificationmentioning

confidence: 99%

Contributions of path-dependency and social capital drivers to housing tenure transitions in Britain

Aguda

2019

IJHMA

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Purpose The purpose of this paper is to investigate the contributions of path-dependency and some contextual social capital drivers to housing tenure transitions in Britain. Different situations have continued to shape young adults’ housing tenure decisions. However, very little research has been done to investigate the impact of some social capital drivers, such as neighbourhood integration and strength of parental intimacy, on housing tenure decisions in Britain. Design/methodology/approach This paper is carried out by tracking a sample of young adults in the British Household Panel Survey from 1991 to 2015 until they make tenure transition. Multinomial fixed-effects logistic regression of time to tenure transition was useful for the models, incorporating established economic and demographic drivers and with the inclusion of contextual social capital variables. Findings The inclusion of the number of years of parental home ownership experience tends to improve on previous path-dependency indicators of tenure transition. With additional years of parental home ownership experience, British young adults are more likely to remain or return to parental housing. Also, individuals that exchange better with their neighbours are less likely to switch tenure. On the other hand, regularity of contact with parents showed a positive relationship with home ownership or parental housing transitions. Originality/value To the best of the author’s knowledge, no study has explored the impact of the duration of socialisation in parental housing and also the impact of some other social capital drivers, such as neighbourhood integration and strength of parental intimacy, on housing tenure decisions among young adults. Hence, it is believed that the findings will further assist policymakers in understanding the dimensions and drivers of tenure shifts.

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Femlogit—Implementation of the Multinomial Logit Model with Fixed Effects

Cited by 81 publications

References 12 publications

Work‐Related Training and the Probability of Transitioning from Non‐Permanent to Permanent Employment

Work‐Related Training and the Probability of Transitioning from Non‐Permanent to Permanent Employment

What did you Really Earn Last Year?: Explaining Measurement Error in Survey Income Data

Contributions of path-dependency and social capital drivers to housing tenure transitions in Britain

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