scholarly journals Choice of alternative crop enterprises among smallholder tobacco farmers in Teso District, Kenya: A multinomial logit analysis

2014 ◽  
Vol 9 (22) ◽  
pp. 1721-1728
Author(s):  
K. Mbaye D. ◽  
K. Mbaye D. ◽  
Kelvin Mulungu H.
Keyword(s):  
Multinomial Logit ◽  
Logit Analysis ◽  
Alternative Crop

scholarly journals ANALISIS KEBANGKRUTAN PERUSAHAAN DENGAN MODEL ALTMAN Z-SCORE PADA PERUSAHAAN MAKANAN DAN MINUMAN YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2011-2014

2015 ◽  
Vol 10 (2) ◽  
Author(s):  
Rio Evans B.M.S ◽  
Cut Ermiati
Keyword(s):  
Sampling Technique ◽  
Multinomial Logit ◽  
Financial Ratios ◽  
Variable Ratio ◽  
Logit Analysis ◽  
Z Score ◽  
Book Value ◽  
Financial Condition ◽  
Total Debt ◽  
Retained Earnings

This study examines the analysis of bankruptcy which uses a model Altman Z-Score 1983 once studied the effect of variable ratio of Working Capital to Total Assets (X1), Retained Earnings to Total Assets (X2), Earnings Before Interest and Tax to Total Assets (X3), Book Value of Equity to Book Value of Total Debt (X4), and Sales to Total Assets (X5) against bankruptcy for companies that went bankrupt or for companies that are not bankrupt by the number of samples (purposive sampling as a sampling technique ) as many as 15 companies. The purpose of this study is to analyze the financial ratios Altman model to explain the company's financial condition foods and beverages as a first step in anticipation of bankruptcy. The analysis method in this research is to perform calculations using the Altman Z-Score Revised (1983) and multinomial logit analysis. Testing is done with the first models prerequisite analysis, testing normality with the overall result is a variable based test One Sample Kolmogorov-Smirnov test indicated that the model in an abnormal position with evidence of significant data α > 0.05. Second, the test results with the results multikolinieritas with VIF < 10 and the tolerance level of > 0.1 indicates that our model is free from the problems of multicollinearity. This is consistent with the assumption multinomial logit analysis that does not require the classical assumption that multinomial logit analysis can proceed. The results of this study are the calculations that have been done, that there are 10 companies in the category of Grey Area and 5 companies in the category is not bankrupt. Seen as a whole has a classification of 95%, while the remaining 5% indicates that bankruptcy is explained by other variables other than those examined in this study In this study the variable ratio of Book Value of Equity to Book Value of Total Debt and Sales to Total Assets have influence significantly to the bankruptcy analysis. So that this research model is Z-Score = Ln (P1/P0) = -149.589 + 117,603BVEBVD + 33,029STA and Z-Score = Ln (P2/P0) = -117.301 + 111,623BVEBVD + 21,657STA Keywords: Bankruptcy, Multinomial Logit Analysis, Financial Ratios Altman Z-Score Model Of Revision.

scholarly journals Skilled immigrant labour: country of origin and the occupational locations of male engineers

2002 ◽  
Vol 29 (1) ◽  
pp. 71 ◽  
Author(s):  
Monica Boyd ◽  
Derrick Thomas
Keyword(s):  
Human Capital ◽  
Capital Stock ◽  
Multinomial Logit ◽  
Immigrant Workers ◽  
Logit Analysis ◽  
Foreign Born ◽  
Birth Place ◽  
Skilled Immigrant ◽  
University Degree ◽  
High Skill

Do high skill immigrant workers find employment corresponding to their training? Using unpublished data from the 1996 census, we examine the occupational locations of men age 30-54 who have a university degree with a major in engineering. We focus on three groups: Canadian born, foreign born who immigrated before age 19 and the foreign-born arriving after age 27, arguing that the first two are most likely to be educated in Canada whereas the last group is not. We find birth place differences in the percentages who are working in managerial, engineering, technical and all other occupations, with differences being most pronounced for those immigrating after age 27. Multinomial logit analysis confirms that these differences cannot be attributed to differences in measured human capital stock. Accreditation requirements are one likely explanation, particularly for those who have received training outside Canada.

scholarly journals Urbanization Effects on Timberland by Ownership Class: A Modified Multinomial Logit Analysis

2010 ◽  
Vol 34 (3) ◽  
pp. 101-109 ◽  
Author(s):  
Rao V. Nagubadi ◽  
Daowei Zhang
Keyword(s):  
Multinomial Logit ◽  
Forest Industry ◽  
Logit Analysis ◽  
Private Forest ◽  
Private Industry ◽  
Land Use Modeling ◽  
Class A ◽  
Level Data ◽  
Private Forestland ◽  
Different Levels

Abstract In this study, a modified multinomial logit approach is used to examine the determinants of timberland by ownership class using county level data in Georgia from 1972 to 2000. We model timberland use by private industry ownership and nonindustrial private forestland ownership, in addition to agriculture, urban uses, and other land uses. Urbanization and other socioeconomic variables have different levels of influence on timberland ownership classes, private forest industry, and nonindustrial private forestland owners. The findings may have implications for land use modeling and projections.

scholarly journals Housing Choice in a Regulated Market: A Nested Multinomial Logit Analysis

2010 ◽  
Vol 20 (1) ◽  
pp. 47-69 ◽  
Author(s):  
Manfred M. Fischer ◽  
Elisabeth Aufhauser
Keyword(s):  
Multinomial Logit ◽  
Logit Analysis ◽  
Housing Choice
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