Using propensity matching estimators to evaluate the impact of privatization on wages

Monteiro, Natália P.

doi:10.1080/00036840701721281

Cited by 14 publications

(8 citation statements)

References 49 publications

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“…Although results are not unanimous, the broad picture painted from these studies is that privatisation generally leads to higher wages for workers in the privatised firms. This finding is reported by Bishop and Kay (1988) and Parker and Martin (1996) for UK data, La Porta and Lopez-de-Silanes (1999) for Mexican data, Brainerd (2002) for Russian data, Ho et al (2002) for Chinese data, Brown et al (2006) for Ukrainian data and Monteiro (2010) for Portuguese data. 1 On the other hand, employment effects tend to be more ambiguous and are often found to be negligible (Brown et al, 2010) or negative (Haskel and Szymanski, 1993; La Porta and Lopez-de-Silanes, 1999).…”

supporting

confidence: 77%

“…In line with the more general literature, privatisation in banking is generally (but not always) found to improve bank performance, particularly in terms of profitability. Studies of privatisation in banking that incorporates labour market effects are very scarce, an exception being the aforementioned study by Monteiro (2010). change in the composition, but not the size, of the workforce.…”

mentioning

confidence: 99%

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Restructuring in privatised firms: A Statis approach

Figueiredo

Monteiro

et al. 2012

Structural Change and Economic Dynamics

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We analyse the dynamics and evolution of the corporate restructuring process in the Portuguese banking sector, where 10 banks were privatised during the period 1989-1996. We apply a novel methodological approach in this context, using a multidimensional measure of restructuring that links product and labour market variables.We find evidence of considerable heterogeneity in the restructuring process, where firms adjust at different speeds and intensities. We also find that the wage level is by far the firm attribute that changed more, which is shown to reflect substantial changes in terms of composition, and not size, of the workforce. Our empirical evidence also suggests that privatisation is associated with a higher level of rent sharing.

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supporting

confidence: 77%

mentioning

confidence: 99%

Restructuring in privatised firms: A Statis approach

Figueiredo

Monteiro

et al. 2012

Structural Change and Economic Dynamics

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“…PSM is commonly used when quasi-experimental data are available, as is the case here, to generate a control group with observed characteristics that are as similar as possible as those for the treated group, a condition that is necessary to get an accurate measure of impact (Monteiro 2010). In other words, it is an approach that can be used to create the counterfactual situation while mitigating potential biases associated with observed characteristics (Rosenbaum and Rubin 1983).…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project

2011

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This article brings together the stochastic frontier framework with impact evaluation methodology to compare technical efficiency (TE) across treatment and control groups using cross-sectional data associated with the MARENA Program in Honduras. A matched group of beneficiaries and control farmers is determined using propensity score matching techniques to mitigate biases stemming from observed variables. In addition, possible self-selection arising from unobserved variables is addressed using a selectivity correction model for stochastic frontiers recently introduced by Greene (J Prod Anal 34:15-24, 2010). The results reveal that average TE is consistently higher for beneficiary farmers than the control group while the presence of selectivity bias cannot be rejected. TE ranges from 0.67 to 0.75 for beneficiaries and from 0.40 to 0.65 for the control depending on whether biases were controlled or not. The TE gap between beneficiaries and control farmers decreases by implementing the matching technique and the sample selection framework decreases this gap even further. The analysis also suggests that beneficiaries do not only exhibit higher TE but also higher frontier output.

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“…In order to acquire a realistic estimation of adoption impact, we needed to set a control group with similar attributes as much as possible similar to those of the treated group (Monteiro, 2010). According to Rosenbaum and Rubin (1983), PSM has become the common approach used in impact evaluation as it can control the observable characteristics of the control group as a resemblance of the treated group, that is to say it is a method that could establish a counterfactual condition and reduce possible selection bias involved with observable characteristics.…”

Section: Empirical Modelsmentioning

confidence: 99%

Impacts of Agricultural Cooperatives on Farmers’ Revenues in Cambodia: A Case Study of Tram Kak District, Takeo Province

Hun¹,

Ito²,

Isoda³

et al. 2018

JAS

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Agricultural cooperatives in Cambodia have been promoted with the aim of increasing agricultural production and farmers' revenues. The objectives of this study are to identify factors influencing farmers' decision on membership in agricultural cooperatives, and to assess the impact of being a member in those cooperatives on farmers' revenues from paddy, livestock and farm. Cross-sectional data from interviews of 242 households in Tram Kak District, Takeo Province were used. The probit model and propensity score matching were employed to achieve the objectives. The results show that farmers who sold their paddy and had been contacted by extension workers from the government agency and non-governmental organizations (NGOs) are more likely to join the cooperatives while male-headed household farmers and farmers who have high off-farm income are less likely to become members of the cooperatives. Moreover, the results of propensity score matching reveal that agricultural cooperatives have no impact on paddy yields and paddy revenue due to the fact that agricultural cooperatives do not provide sufficient training to their members, and members did not actively attend those trainings provided. Also, the cooperatives have failed to provide members better prices for their paddy. There are positive impacts on their livestock and farm revenues through increasing livestock and other crop production when agricultural cooperatives provide livestock and other crop training to their members. However, there is no impact on non-members if they join the cooperatives as they have higher off-farm income, less paddy land size and fewer laborers that are not favorable to taking on other farming activities.

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Using propensity matching estimators to evaluate the impact of privatization on wages

Cited by 14 publications

References 49 publications

Restructuring in privatised firms: A Statis approach

Restructuring in privatised firms: A Statis approach

Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project

Impacts of Agricultural Cooperatives on Farmers’ Revenues in Cambodia: A Case Study of Tram Kak District, Takeo Province

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