Time-varying individual effects in a panel data probit model with an application to female labor force participation

Kai, Xin; Zhang, Zhengyu; Zhou, Yong‐Gui; Zhu, Pingfang

doi:10.1016/j.econmod.2020.12.014

Cited by 4 publications

(6 citation statements)

References 35 publications

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“…This study employs quantitative analysis, namely the Probit regression model methodology. According to Xin et al (2020), when the dependent variable (Y) is dichotomous or binary and is assumed to have a binomial distribution, probit or logit is utilized [32]. One advantage of utilizing probit regression is that direct fitting values can be transformed to probabilities using values from the standard normal table.…”

Section: Methods: Model Specification Of Probit Modelmentioning

confidence: 99%

“…The meaning of slope is that it indicates the extent to which the predictor (X) contributes to the explanation of the output variable (Y). By converting the linear regression equation to a probability (P) when P = 1, we obtain logistic regression (probability to get a score of 1) [32][33][34]. The model is transformed into:…”

Section: Methods: Model Specification Of Probit Modelmentioning

confidence: 99%

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Food consumption pattern Far Away From Home as a source of household food protein in Indonesia

Anindita

Khoiriyah

Sa’diyah

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The pattern of food consumption determines the level of household welfare, but for households with low income, the share of food expenditure is dominated by carbohydrate food. Protein foods are the second food consumed after carbohydrate staple foods. This study analyzes food consumption patterns away from home as a source of protein for households in Indonesia. The research data uses secondary data in the form of Susenas data in 2020 which covers of thirty-four provinces and the samples cover 334,127 households in total. The research data is in the form of total household expenditure data, data on the number of household members, consumption and expenditure data of FAFH as a source of household protein in Indonesia covering eight types of food, namely 1) soup namely soto, gule, sop, rawon 2) satay, tongseng 3) meatball noodles, chicken noodles 4) cooked fish 5) cooked chicken or meat 6) processed meat 7) chicken porridge, and 8) dumplings, batagor. The consumption preference model approach uses the Probit Model. The results showed that all FAFH foods had a high significant effect on FAFH consumption patterns. However, the household size variable shows a negative relationship. The higher the household size, the lower the possibility of consuming FAFH. The findings of this study demonstrate that, despite the COVID-19 pandemic, the intake of FAFH protein is increasing, albeit at a very slow rate. This also demonstrates that FAFH food is a source of protein for households in Indonesia.

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Section: Methods: Model Specification Of Probit Modelmentioning

confidence: 99%

Section: Methods: Model Specification Of Probit Modelmentioning

confidence: 99%

Food consumption pattern Far Away From Home as a source of household food protein in Indonesia

Anindita

Khoiriyah

Sa’diyah

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…Therefore, numerous factors have been identified. Some of them include differences in economic development (Verick, 2014), technological progress (Greenwood et al, 2016), policies aimed at increasing the participation of women in the workforce (Pignatti, 2020), education levels (Cho & Cho, 2015), age (Anaman & Kassim, 2006;Lee et al, 2008;Chen et al, 2014), marital status (Chen & Hamori, 2010;AlAzzawi & Hlasny, 2019), household income (Mincer, 1962;Li et al, 2020;Xin et al, 2021), and family structure (Mincer, 1962).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Preschool children represent a greater burden for women and the household income, since most women are responsible for caring for the children due to the lack of high-quality and affordable childcare. Having children of preschool age has been shown to reduce the likelihood of a woman's participation in the labour market (AlAzzawi & Hlasny, 2019;Xin et al, 2021). Conversely, the sole impact of having school-age children has not been determined.…”

Section: Development Of Hypothesesmentioning

confidence: 99%

“…If household income, or wealth, increases, women can afford more free time, which causes a reduction in labour supply known as the substitution effect (AlAzzawi & Hlasny, 2019). A large number of studies indicate that the greater the wealth, or income, of a household, the less likely a woman is to be employed (Li et al, 2020;Xin et al, 2021). Thus, the next hypothesis to be tested is as follows:…”

Section: Development Of Hypothesesmentioning

confidence: 99%

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Determinants of Women’s Employment in the Region of Southern and Eastern Serbia: An Econometric Approach

Milanović

Marjanović

2023

TEME

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During time, women’s participation in the labour markets all over the world has increased. However, gender differences in the level of employment still exist, especially in underdeveloped and developing countries. Since empirical evidence shows that a higher degree of women’s employment has many positive effects on the economy, it is of great importance for such countries’ governments to create mechanisms for increasing it. These mechanisms are especially important for the Republic of Serbia, since women’s employment is still lagging behind men’s employment. On the interregional level, the gender discrepancies in employment are even larger, which slows down the development of the country as a whole. In order to create effective strategies and mechanisms which will increase the degree of women’s employment in such regions, it is of great importance to discover which factors currently determine whether women will be employed or not. Since the problem of women’s unemployment is particularly noticeable in the Region of Southern and Eastern Serbia, this paper aims to provide an analysis of the basic factors of women’s employment in this region, so as to raise awareness about these factors and shed light on possible employment policies that could be designed accordingly. These policies are expected to enhance the economic development of this region and the country as a whole. For this purpose, primary research was conducted on a sample of 678 women. The results of the study indicate that age, educational attainment, household income, place of residence, and having children ages 7 through 18 represent significant factors that determine women’s employment.

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Multinomial employment dynamics with state dependence and heterogeneity: Evidence from Japan

Okamura

Islam

2021

Economic Modelling

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Time-varying individual effects in a panel data probit model with an application to female labor force participation

Cited by 4 publications

References 35 publications

Food consumption pattern Far Away From Home as a source of household food protein in Indonesia

Food consumption pattern Far Away From Home as a source of household food protein in Indonesia

Determinants of Women’s Employment in the Region of Southern and Eastern Serbia: An Econometric Approach

Multinomial employment dynamics with state dependence and heterogeneity: Evidence from Japan

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