Econometric Analysis of Count Data

Rilstone, Paul

doi:10.1198/jasa.2002.s458

Cited by 28 publications

(16 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…where a is a single constant term and where the component u i is the random heterogeneity specific to the i-th observation and is constant through time (random effect model) (Greene, 2012;Wooldridge, 2005). The distinction between the fixed and random effects models is usually based on the Hausman specification test (Hausman, 1978).…”

Section: Methodsmentioning

confidence: 99%

Determinants of dividend payout decisions – the case of publicly quoted food industry enterprises operating in emerging markets

Franc-Dąbrowska

Mądra-Sawicka

Ulrichs

2019

Economic Research-Ekonomska Istraživanja

View full text Add to dashboard Cite

The paper examines the factors influencing dividend payout decisions. Our analysis is based on unbalanced panel data with 799 observations of companies from 15 countries over a period of 14 years. The study develops eight research hypotheses and uses a modelling approach based on the random effects panel probit model. An important conclusion reached in our study is that a company's financial situation in preceding year influences the dividend payout decision. In addition, the key significant determinants of dividend payout decision in the period covered by our study include free cash flow, growth, liquidity, profitability and size. These important research results are confirmed by other studies in the field. They are therefore essential for determining dividend policies. Individual effects across investigated enterprises also played an important role in the dividend policy.

show abstract

Section: Methodsmentioning

confidence: 99%

Determinants of dividend payout decisions – the case of publicly quoted food industry enterprises operating in emerging markets

Franc-Dąbrowska

Mądra-Sawicka

Ulrichs

2019

Economic Research-Ekonomska Istraživanja

View full text Add to dashboard Cite

show abstract

“…Parameter estimates provided in Equation (2) only provide the direction of the effect of the independent variables on the dependent variable, but not the magnitude of change or probabilities. To obtain the marginal effects of the explanatory variables, Equation (2) is differentiated with respect to the explanatory variables [23] as:…”

Section: Estimating Adoption Determinantsmentioning

confidence: 99%

Management of Banana Xanthomonas Wilt: Evidence from Impact of Adoption of Cultural Control Practices in Uganda

Kikulwe¹,

Kyanjo

Kato

et al. 2019

Sustainability

View full text Add to dashboard Cite

Banana Xanthomonas Wilt (BXW) is an important emerging and non-curable infectious plant pathogen in sub-Saharan Africa that can cause up to 100% yield loss, negatively impacting sustainable access to food and income to more than 100 million banana farmers. This study disentangles adopters into partial and full adopters to investigate the factors that are relevant to sustain the adoption process of BXW control practices and quantifies the impact of adopting the practices. Data from a randomly selected sample of 1200 banana farmers in Uganda where the disease is endemic was used. A multinomial logit model was used to determine the factors affecting adoption of control practices and augmented inverse probability weighting was employed to estimate the impacts of adoption on banana productivity and sales. Results show that training a woman farmer and having diverse sources of information about BXW control practices increased adoption of the control practices and reduced the disease incidences. Farmers who adopted all the recommended control practices achieved significantly the highest values of banana production and sales. We conclude that improving information access through farmers’ preferred communication channels, having women-inclusive trainings, and a combination of cultural practices are effective ways for sustaining adoption of the control practices.

show abstract

“…In a later study, Guimarães et al (2003) use a Poisson regression model (Greene, 2012) to estimate the same models in Guimarães et al (2000). The estimates are different but the conclusions described above regarding the sign and significance for each attribute are equivalent.…”

Section: Attribute Descriptionmentioning

confidence: 99%

“…The authors estimated models with two different dependent variables: (1) the number of business investments per municipality-industry (1,032 observations), and (2) the number of business investments per municipality (129 observations). They use the Poisson regression model (Greene, 2012) where the independent variables are county dummy variables, a dummy variable for the city of Portland (the largest city), dummy variables controlling for the industry, and dummy variable equal to one if the location has a high school. The variables that had a positive effect on the number of business investments were: presence of a local high school; local government spending on items other than public education; municipality size; and industry concentration.…”

Section: Switzerlandmentioning

confidence: 99%

Firm-specific and location-specific drivers of business location and relocation decisions

Balbontin

Hensher

2018

Transport Reviews

View full text Add to dashboard Cite

Decisions made by businesses on where to locate or relocate are typically given less consideration than residential location in integrated transport and land use modelling systems. This is surprising given the important role that businesses play in defining employment opportunities, and hence the travel patterns of workers and any travel associated with accessing firms. As part of a larger study on giving firm location choices an endogenous representation in an integrated model system, this paper reviews the existing literature on the drivers of location and relocation decisions in various geographical jurisdictions. The findings provide a starting position in the design of future firm-specific surveys and especially the attributes that are candidates for stated choice experiments and for inclusion in firm location utility equations embedded in integrated strategic model systems.

show abstract

Econometric Analysis of Count Data

Cited by 28 publications

References 1 publication

Determinants of dividend payout decisions – the case of publicly quoted food industry enterprises operating in emerging markets

Determinants of dividend payout decisions – the case of publicly quoted food industry enterprises operating in emerging markets

Management of Banana Xanthomonas Wilt: Evidence from Impact of Adoption of Cultural Control Practices in Uganda

Firm-specific and location-specific drivers of business location and relocation decisions

Contact Info

Product

Resources

About