scholarly journals An Application of Panel Ordered Probit Model to Credit Scoring

2018 ◽  
Author(s):  
Ebru Çağlayan Akay ◽  
Zamira Oskonbaeva
Keyword(s):  
Gross Domestic Product ◽  
Credit Scoring ◽  
Probit Model ◽  
Ordered Probit ◽  
Domestic Product ◽  
Ordered Probit Model ◽  
Annual Data ◽  
Sovereign Credit Ratings ◽  
Macroeconomic Indicators ◽  
The Impact

Ratings are important in attracting foreign capital so they play a great role in the financial system of a country. The aim of the study is to investigate the impact of macroeconomic indicators on sovereign credit ratings assigned by Fitch. For this aim Panel ordered probit model was applied to the annual data from 2000 to 2011. The analysis rests on panel of 44 countries. According to the results obtained it can be concluded that gross domestic product growth rate , per capita gross domestic product, unemployment, export, default history and the level of economic development significantly affect ratings.

scholarly journals Satisfaction Evaluation of Milk Handlers by Southern U.S. Dairy Farmers

1996 ◽  
Vol 28 (2) ◽  
pp. 313-321 ◽  
Author(s):  
Dave M. Sayers ◽  
Richard L. Kilmer ◽  
Jonq-Ying Lee ◽  
Anouk M. Flambert
Keyword(s):  
Quality Of Service ◽  
Probit Model ◽  
Ordered Probit ◽  
Ordered Probit Model ◽  
Dairy Farmers ◽  
Choice Satisfaction ◽  
Satisfaction Evaluation ◽  
The Impact ◽  
Positive Effect

AbstractAn ordered probit model is used to investigate the factors that determine post-choice satisfaction of southeastern U.S. dairy farmers with their milk handlers. The impact on farmer satisfaction of milk handler attributes, farm/farmer characteristics, and farm location is tested. Results support the hypothesis that mailbox price and the quality of service provided by milk handlers have a positive effect on satisfaction levels. Bargaining-operating cooperatives are negatively associated with farmer satisfaction when contrasted against independently owned milk handlers and bargaining-only cooperatives. Choice and the ability to switch milk handlers are also important determinants of farmer satisfaction.

scholarly journals Exploring injury severity of pedestrian-vehicle crashes at intersections: unbalanced panel mixed ordered probit model

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Željko Šarić ◽  
Xuecai Xu ◽  
Daiquan Xiao ◽  
Joso Vrkljan
Keyword(s):  
Goodness Of Fit ◽  
Injury Severity ◽  
Random Parameter ◽  
Probit Model ◽  
Ordered Probit ◽  
Ordered Probit Model ◽  
Vehicle Crashes ◽  
Proposed Model ◽  
Unobserved Effects ◽  
The Impact

AbstractAlthough the pedestrian deaths have been declining in recent years, the pedestrian-vehicle death rate in Croatia is still pretty high. This study intended to explore the injury severity of pedestrian-vehicle crashes with panel mixed ordered probit model and identify the influencing factors at intersections. To achieve this objective, the data were collected from Ministry of the Interior, Republic of Croatia from 2015 to 2018. Compared to the equivalent random-effects and random parameter ordered probit models, the proposed model showed better performance on goodness-of-fit, while capturing the impact of exogenous variables to vary among the intersections, as well as accommodating the heterogeneity issue due to unobserved effects. Results revealed that the proposed model can be considered as an alternative to deal with the heterogeneity issue and to decide the factor determinants. The results may provide beneficial insight for reducing the injury severity of pedestrian-vehicle crashes.

scholarly journals The determinants of issuers’ long term credit ratings : American S&P500 index

2015 ◽  
Vol 3 (1) ◽  
pp. 78
Author(s):  
ِِAfef Feki Krichene ◽  
Walid Khoufi
Keyword(s):  
Credit Rating ◽  
Credit Ratings ◽  
Probit Model ◽  
Ordered Probit ◽  
Ordered Probit Model ◽  
Financial Policy ◽  
Significant Determinant ◽  
Short Term ◽  
The Impact

<p>In this paper, we examine the impact that various financial and business profile variables have on credit ratings issued for the S&amp;P500 firms by Moody’s. Our ordered probit model indicates that firms’ financial policy, size, liquidity, interest and debt coverage have the most pronounced effect on credit ratings. Our results show that different coefficients are associated to the increments of interest and debt coverage ratios. Business profile variables are not significant. Liquidity variable is also a significant determinant of the issuer long-term credit rating and not just the short term one.</p>

An ordered probit analysis of monetary policy inertia

2015 ◽  
Vol 15 (2) ◽  
Author(s):  
Omer Bayar
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Probit Model ◽  
Probit Analysis ◽  
Ordered Probit ◽  
Ordered Probit Model ◽  
Rate Adjustment ◽  
Discrete Nature ◽  
Standard Models ◽  
The Impact

AbstractThe two leading explanations of the observed persistence in policy interest rate changes are monetary policy inertia and omitted serially correlated shocks. This paper addresses the persistence debate from the perspective of how to properly model policy rates. An ordered probit model is used to account for the discrete nature of interest rate adjustment, an aspect of policy absent in standard models. Ordered probit results show that the impact of inertia on interest rate setting is considerably smaller than indicated by standard models.

scholarly journals MACROECONOMIC DETERMINANTS OF ECONOMIC GROWTH IN SERBIA

2017 ◽  
pp. 105 ◽  
Author(s):  
Ivan Milenković ◽  
Branimir Kalaš ◽  
Jelena Andrašić
Keyword(s):  
Gross Domestic Product ◽  
Negative Impact ◽  
Domestic Product ◽  
Public Expenditures ◽  
Macroeconomic Indicators ◽  
Great Relevance ◽  
Macroeconomic Determinants ◽  
The Impact ◽  
Determinants Of Economic Growth ◽  
Very High

Monetary policy is an important segment of the economic policy of each country where inflation and monetary aggregates represent its significant components. Their movement reflects the trends in the volume of money and the price level which is of great relevance for the economic situation in the country. The aim of the paper is to manifest the impact of macroeconomic indicators on the real gross domestic product. In this paper, inflation (INF), monetary aggregate (M3), public expenditures (PE) and foreign direct investment (FDI) are used as independent variables, while the gross domestic product is determined as a dependent variable. The results showed that there is a positive relationship between GDP and INF, PE and FDI, but it is statistically not significant. On the other hand, M3 has a negative impact on GDP, it is statistically significant. Using correlation matrix, a very high correlation between INF and PE was found, while the lowest correlation was recorded between GDP and INF.

scholarly journals DYNAMICS OF GROSS DOMESTIC PRODUCT: СURRENT PROBLEMS OF MEASUREMENTS IN TERMS OF DIGITALIZATION OF THE ECONOMY

2020 ◽  
pp. 97-103
Author(s):  
A. S. Abroskin ◽  
N. A. Abroskina
Keyword(s):  
Gross Domestic Product ◽  
National Economy ◽  
Domestic Product ◽  
National Accounts ◽  
Methodological Basis ◽  
System Of National Accounts ◽  
Russian Economy ◽  
Macroeconomic Indicators ◽  
Definition Of ◽  
The Impact

The relevant for Russian statistics issues of digitalization processes accounting in the construction of gross domestic product indicator have been considered. Special attention to the problem of formation of the methodological basis for digital economy measurements – the definition of its boundaries, structure and principles of accounting for this object in the system of macroeconomic indicators – has been paid. An important aspect in the analysis are problems specific to measuring the impact of digitalization processes of the Russian economy on the level and dynamics of gross domestic product. These are the problems of use in the Russian practice the industrial approach, interpretation and correctness of the estimates obtained. As an alternative, an approach based on the allocation of digital segments in the industries of the national economy and taking into account their impact on gross domestic product dynamics in accordance with the general principles of the System of National Accounts, – has been proposed.

Applying the Ordered Probit Model to Injury Severity in Truck-Passenger Car Rear-End Collisions

1998 ◽  
Vol 1635 (1) ◽  
pp. 63-71 ◽  
Author(s):  
Chandler S. Duncan ◽  
Asad J. Khattak ◽  
Forrest M. Council
Keyword(s):  
High Speed ◽  
Injury Severity ◽  
Probit Model ◽  
Ordered Probit ◽  
Ordered Probit Model ◽  
Passenger Cars ◽  
Passenger Car ◽  
Vehicle Occupant ◽  
Occupant Injury ◽  
The Impact

Collisions between heavy trucks and passenger cars are a major concern because of the severity of injuries. This research has two objectives. One is to examine the impact of various factors on injuries to passenger car occupants involved in such collisions. Due to the complex interaction of factors influencing injury levels in truck-car collisions, the ordered probit model is used to identify specific variables significantly influencing levels of injury in two-vehicle rear-end involvements on divided roadways. Another objective is to demonstrate the use of the ordered probit in this complex highway safety problem. A set of vehicle, occupant, roadway, and environmental factors expected to influence injury severity was developed. Given two-vehicle passenger car-truck rear-end collisions, the variables that increase passenger vehicle occupant injury severity include darkness; high speed differentials; high speed limits; grades, especially when they are wet; being in a car struck to the rear (as opposed to being in a car striking a truck to the rear); driving while drunk; and being female. The interaction effects of cars being struck to the rear with high speed differentials and car rollovers were significant. Variables decreasing severity include snowy or icy roads, congested roads, being in a station wagon struck to the rear (as opposed to a sedan), and using a child restraint. With injuries ordered in five classes from no injury to fatalities, the marginal effects of each factor on the likelihood of each injury class are reported.

scholarly journals The Determinants Factors of Balance of Payments: An Investigation from Sudan through the Period 1980-2016

2018 ◽  
pp. 41-46 ◽  
Author(s):  
Faroug Mohammed Khalid Yousif ◽  
Almahdi Musa Attahir Musa
Keyword(s):  
Exchange Rate ◽  
Gross Domestic Product ◽  
Foreign Debt ◽  
Balance Of Payments ◽  
Domestic Product ◽  
Annual Data ◽  
Economic Policies ◽  
Macroeconomic Policies ◽  
Foreign Countries ◽  
The Impact

This paper investigates the determinants of Sudan balance of payments using annual data on Balance Of Payments (BOP), foreign debt (ED), Exchange Rate (EX), inflation (INF), Gross Domestic Product (GDP) during the period (1980 - 2016). The paper elaborates the problem regarding the impact of foreign debt on the balance of payments. The paper built on the fundamental assumption that the foreign debt linked to a positive relationship with the balance of payments by running VECM Approach. Results of the study indicate that there is a direct correlation between the balance of payments and foreign debt, and an inverse relationship between the balance of payments and all of the inflation, gross domestic product and exchange rate during the fore mentioned period. The paper recommends that Sudan should not totally depends on foreign aid in solving its economic problems which entails to transfer big amount of the national product to meet the commitments towards those foreign countries, the need for coordination between macroeconomic policies and domestic economic policies in order to increase output domestic product, economic policies are functioning to reduce the ratio of foreign debt and the reduction of inflation and bring about stability in the exchange rate which leads to improving the balance of payments to be adopted by Sudan.

ANALISIS DETERMINAN KUALITAS LINGKUNGAN PERIODE 1999-2013

2016 ◽  
Vol 21 (1) ◽  
pp. 9-20
Author(s):  
Ersalina Tang
Keyword(s):  
Foreign Direct Investment ◽  
Energy Consumption ◽  
Gross Domestic Product ◽  
Co2 Emissions ◽  
Direct Investment ◽  
Meat Consumption ◽  
Domestic Product ◽  
World Data ◽  
The World ◽  
The Impact

The purpose of this study is to analyze the impact of Foreign Direct Investment, Gross Domestic Product, Energy Consumption, Electric Consumption, and Meat Consumption on CO2 emissions of 41 countries in the world using panel data from 1999 to 2013. After analyzing 41 countries in the world data, furthermore 17 countries in Asia was analyzed with the same period. This study utilized quantitative approach with Ordinary Least Square (OLS) regression method. The results of 41 countries in the world data indicates that Foreign Direct Investment, Gross Domestic Product, Energy Consumption, and Meat Consumption significantlyaffect Environmental Qualities which measured by CO2 emissions. Whilst the results of 17 countries in Asia data implies that Foreign Direct Investment, Energy Consumption, and Electric Consumption significantlyaffect Environmental Qualities. However, Gross Domestic Product and Meat Consumption does not affect Environmental Qualities.

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