scholarly journals Qualitative response models: A survey of methodology and illustrative applications

2007 ◽  
Vol 52 (172) ◽  
pp. 55-92
Author(s):  
Aleksandra Nojkovic
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Panel Data Analysis ◽  
Econometric Modeling ◽  
Response Models ◽  
Qualitative Response ◽  
Labour Economics ◽  
Economic Information ◽  
Standard Tool ◽  
Dependent Variables

This paper introduces econometric modeling with discrete (categorical) dependent variables. Such models, commonly referred to as qualitative response (QR) models, have become a standard tool of microeconometric analysis. Microeconometric research represents empirical analysis of microdata, i.e. economic information about individuals, households and firms. Microeconometrics has been most widely adopted in various fields, such as labour economics, consumer behavior, or economy of transport. The latest research shows that this methodology can also be successfully transferred to macroeconomic context and applied to time series and panel data analysis in a wider scope. .

scholarly journals PENGARUH PENGGUNAAN MODAL TERHADAP TINGKAT EFISIENSI YANG DI CAPAI OLEH BANK YANG GO PUBLIK DI BURSA EFEK JAKARTA

2009 ◽  
Vol 7 (1) ◽  
pp. 33
Author(s):  
. Yanti
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Legal Capital ◽  
Dependent Variables ◽  
Efficiency Test ◽  
Test Result

Purpose of this research is to know development of legal capital and level of efficiency which in reached by Bank which Go Public at Bursa Effect Jakarta and know legal capital influence to level of efficiency pads Bank which Go Public at Bursa Effect Jakarta. From result of panel data analysis shows CAR and LDR to have influence which are positive with level of efficiency. Test Result F indicates that dependent variables tied is good in simulation influential significant to level of efficiency and tee test result indicates that usage variable of legal capital which in the form of LDR partially had an effect on significant to level of efficiency

scholarly journals Absenteeism as a mechanism of repression of demand in the Brazilian public sector: accounting reflex in federal education public institutions

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Nara Cristina Ferreira Mendes ◽  
André Luiz Marques Serrano ◽  
Lucas Oliveira Gomes Ferreira ◽  
Pedro Paulo Murce Meneses
Keyword(s):  
Higher Education ◽  
Time Series ◽  
Data Analysis ◽  
Graduate Program ◽  
Panel Data Analysis ◽  
Executive Branch ◽  
Public Institutions ◽  
Institutions Of Higher Education ◽  
Critical Problem ◽  
Research Findings

Absenteeism is seen as a critical problem in public organizations, since the factors that generate it negatively impact the productivity of organizations. In this sense, considering that Federal Institutions of Higher Education represent almost half of the entire workforce existing in the Federal Executive Branch, this article aims to identify absenteeism, as well as its typification, in addition to measuring its accounting reflex. The methodology adopted was panel data analysis, through the analysis of the absenteeism index with time series from 2008 to 2018. The research findings reinforce that absenteeism is more representative when it is due to a stricto sensu graduate program and medical licenses. Furthermore, it was found that the absenteeism rate doubles every 5 years.

scholarly journals Determinan Pengangguran Terdidik Lulusan Universitas di Pulau Jawa

2021 ◽  
Vol 10 (3) ◽  
pp. 178-187
Author(s):  
Leni Anjarwati ◽  
Whinarko Juliprijanto
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Cross Section ◽  
Quantitative Methods ◽  
Negative Impact ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Series Data ◽  
Cross Section Data ◽  
Section Data

This study aims to determine the factors that influence educated unemployment in Java. The data used in this study is secondary data using quantitative methods. Data analysis uses panel data analysis which is a combination of time series and cross-section data. The time-series data uses data for the 2015-2019 period and cross-section data from 6 provinces on the island of Java. The results showed that simultaneously all variables had a significant effect on the level of educated unemployment. While partially shows that the variable level of education and PMDN have a significant positive impact on educated unemployment, and the UMR variable has a significant negative impact on educated unemployment.

scholarly journals Pengaruh Dana Desa Dan Alokasi Dana Gampong Terhadap Kemiskinan Di Kecamatan Makmur Kabupaten Bireuen

2020 ◽  
Vol 3 (1) ◽  
pp. 11
Author(s):  
Aida Fitri ◽  
Khairil Anwar
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Panel Data ◽  
Cross Section ◽  
Time Series Data ◽  
Panel Data Analysis ◽  
Series Data ◽  
Analysis Method ◽  
Fund Allocation ◽  
Data Analysis Method

This study aims to determine how much Influence funds and village fund allocation have on poverty in Makmur District, Bireuen Regency. This study uses the panel data analysis method. Which is a combination of time-series data from 2015 to 2019, and a cross-section involving 27 villages and results in 135 observations. The results show that village funds have a negative and significant effect on poverty in the Makmur sub-district. Meanwhile, the allocation of village fund has no significant effect on poverty in the Makmur sub-district.Keywords:Village Fund, VillageFund Allocation, Poverty.

Ordered and unordered multinomial response models: an application to assess loblolly pine merchantability

1991 ◽  
Vol 21 (2) ◽  
pp. 261-268 ◽  
Author(s):  
Alexandros A. Arabatzis ◽  
Timothy G. Gregoire
Keyword(s):  
Loblolly Pine ◽  
Regression Models ◽  
Research Work ◽  
Future Research ◽  
Response Models ◽  
Multinomial Models ◽  
Qualitative Response ◽  
Dependent Variables ◽  
Pine Trees ◽  
Discrete Values

Qualitative response models constitute a class of regression models used to predict one of a discrete number of mutually exclusive outcomes. These models differ from continuous regression models in that the response variable takes only discrete values. In forestry applications, the use of such models has been largely confined to mortality studies where the dependent variable is dichotomous. However, it is common in forestry to deal with variables that are either naturally discrete or continuous but recorded discretely. Consequently, there is a need for models that are appropriate for polychotomous dependent variables. Two models that appear to be suitable for forestry applications are presented, namely the ordered and unordered multinomial models, with emphasis on their theoretical justification, statistical inference, and model selection criteria. Using permanent plot data from loblolly pine (Pinustaeda L.) plantations on cutover, site-prepared areas throughout the southern United States, these models were fitted to assess the merchantability of loblolly pine trees. The results demonstrate the potential of qualitative response models for meaningful implementation in a variety of forestry applications and, also, for suggested topics for future research work.

scholarly journals The Determinants of Indonesian Textile’s and Clothing Export to the Five Countries of Export Destination

ETIKONOMI ◽  
2020 ◽  
Vol 19 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Faizal Irvansyah ◽  
Hermanto Siregar ◽  
Tanti Novianti
Keyword(s):  
United States ◽  
Time Series ◽  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
The United States ◽  
Destination Country ◽  
Gdp Per Capita ◽  
Per Capita ◽  
Export Destination

Indonesian textile and clothing products (TPT) is the second-largest export product after oil palm product. There are five biggest export destination countries, that is the United States, Japan, South Korea, and Turkey. This study aims to analyze the factors that affect TPT exports to the five biggest export destination countries. The factors that affect TPT exports examined by using time series and panel data analysis. Using panel data analysis finds that GDP per capita of the destination country, the exchange rate of the Rupiah, the price of textiles in the destination country, and import tariffs stipulate in the destination country affect TPT exports. Then, using time series analysis finds that GDP per capita and import tariffs affected TPT export to the United States, China, and Turkey. Meanwhile, the factors influencing Indonesian textile exports to Japan and South Korea are textile prices, rupiah exchange rates, and import tariffs.JEL Classification: F14, F43How to Cite:Irvansyah, F., Siregar, H., & Novianti, T. (2020). The Determinants of Indonesian Textile’s and Clothing Export to the Five Countries of Export Destination. Etikonomi: Jurnal Ekonomi, 19(1), 19 – 30. https://doi.org/10.15408/etk.v19i1.14845.

Panel data analysis: a survey on model-based clustering of time series

2011 ◽  
Vol 5 (4) ◽  
pp. 251-280 ◽  
Author(s):  
Sylvia Frühwirth-Schnatter
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Model Based Clustering ◽  
Model Based
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