A Bayesian Integration of End-Use Metering and Conditional-Demand Analysis

Hsiao, Chêng; Mountain, Dean C.; Illman, Kathleen Ho

doi:10.1080/07350015.1995.10524605

Cited by 82 publications

(62 citation statements)

References 11 publications

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“…Panel data usually contain more degrees of freedom and more sample variability than cross-sectional data which may be viewed as a panel with T = 1, or time series data which is a panel with N = 1, hence improving the efficiency of econometric estimates (e.g., Hsiao et al 1995). (ii) Greater capacity for capturing the complexity of human behavior than a single cross-section or time series data.…”

Section: Advantages Of Panel Datamentioning

confidence: 99%

Panel data analysis—advantages and challenges

Hsiao

2007

TEST

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Section: Advantages Of Panel Datamentioning

confidence: 99%

Panel data analysis—advantages and challenges

Hsiao

2007

TEST

Self Cite

850

388

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“…Panel data contain information on both the history of the individual and the inter-temporal dynamics and allow us to control for unobserved variables. Furthermore, it allows the uncovering of dynamic relationships which is not efficient with time-series data (Pakes and Griliches, 1984;Hsiao et al, 1995). Following the same individual over a long time, as in this study, it is possible to explore the impact of various socio-economic characteristics, and their change, on the outcome of interest.…”

Section: Panel Regressionsmentioning

confidence: 99%

“…This is also not feasible with the time-series data, because they refer to one individual, as we mentioned earlier. This is very important and related to our study, since we want to compare the teleworkers, where we assume is the treatment group and teleworking is the policy or program, and the control group, which we assume is the non-teleworkers (Hsiao et al, 1995). Another very important benefit of the panel data analysis is that we can control for the impact of omitted variables that may be correlated with the explanatory variables.…”

Section: Panel Regressionsmentioning

confidence: 99%

“…Also, with panel data we can capture at a greater degree the complex human behaviours, than we can do using cross-sectional or time series data. Panel data analysis is useful to account for the heterogeneity in the population, exploring behaviours of the individuals from past information we have for the same individual across time (Hsiao et al, 1995). This is not possible with the cross-sectional data, since they cover many individuals but only for one period, which is like a snapshot.…”

Section: Panel Regressionsmentioning

confidence: 99%

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The Effects of Teleworking on Housework Division and Well-Being of Couples

Giovanis

2017

Preprint

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This study examines the relationship between teleworking, gender roles and happiness of couples using data from the British Household Panel Survey (BHPS) and the Understanding Society Survey (USS) during the period 1991-2012. Various approaches are followed, including Probit-adapted fixed effects, multinomial Logit and Instrumental variables (IV). The results support that both men and women who are teleworkers spend more time on housework, while teleworking increases the probability that the household chores examined in this study, such as cooking, cleaning ironing and childcare, will be shared relatively to those who are nonteleworkers. In addition, women are happier when they or their spouse is teleworker, as well as, both men and women are happier when they state that the specific household chores are shared. Thus, women teleworkers may be happier because they can face the family demands and share the household chores with their spouse, increasing their fairness belief about the household division allocation and improving their well-being, expressed by happiness.

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“…The reason for this is that our data involves two dimensions and panel regression has a greater capacity to model the complex behaviour of firms compared with a simple cross-section or time series regression. Indeed, panel data regression provides a more accurate inference of estimated parameters, and exploits the additional degrees of freedom and sample variability better than the single cross-section or time series models (Hsiao et al, 1995).…”

Section: Data Methods and Variablesmentioning

confidence: 99%

Why do firms invest in accounts receivable? An empirical investigation of the Malaysian manufacturing sector

Paul

Guermat

Devi³

2018

JAEE

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The purpose of this paper is to investigate the factors that influence Malaysian manufacturing sector investment in accounts receivable, an asset seen by many as one of the riskiest in any company's balance sheet. We test several theories, related to accounts receivable, using a cross-section of 262 listed manufacturing firms over a period of five years (2007)(2008)(2009)(2010)(2011). Both fixed and random effect approaches are considered to deal with potential heterogeneity across firms. Our results show that the absolute level of accounts receivable is almost exclusively explained by size. However, the ratio of accounts receivable to assets is influenced by firm size, short-term finance, sales growth, and collateral. Profit, liquidity and gross margin have no role in affecting the decision to grant trade credit to customers. Some of our results are mostly inconsistent with previous studies. Size and short-term finance have a negative, rather than a positive, impact. Liquidity and gross margin have no, rather than a positive, effect. Profit and sales growth are expected to exhibit a U-shaped relationship with investment in accounts receivable. We found, however, that the former is insignificant while the latter is strictly increasing. The only factor found to be consistent with prior studies, in developed counties, is collateral. Our findings have important implications for policy makers in Malaysia and other emerging economies, especially in the light of the forthcoming International Financial Reporting Standard 9.3

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A Bayesian Integration of End-Use Metering and Conditional-Demand Analysis

Cited by 82 publications

References 11 publications

Panel data analysis—advantages and challenges

Panel data analysis—advantages and challenges

The Effects of Teleworking on Housework Division and Well-Being of Couples

Why do firms invest in accounts receivable? An empirical investigation of the Malaysian manufacturing sector

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