Analisis Teknikal dan Fundamental Saham: Aplikasi Model Data Panel (Stock Technical and Fundamental Analysis: Panel Data Model Application)

2020 ◽  
Author(s):  
Endri Endri
Keyword(s):  
Panel Data ◽  
Data Model ◽  
Panel Data Model ◽  
Fundamental Analysis ◽  
Model Data ◽  
Model Application ◽  
Technical And Fundamental Analysis

scholarly journals FLYPAPER EFFECT PADA DANA ALOKASI UMUM (DAU) DAN PENDAPATAN ASLI DAERAH (PAD) SERTA PENGARUHNYA TERHADAP BELANJA DAERAH KABUPATEN/KOTA DI SULAWESI TENGAH

2019 ◽  
Vol 18 (2) ◽  
Author(s):  
Wiwin Anggriani Salawali ◽  
Paulus Kindangen ◽  
Agnes C.H. Lapian
Keyword(s):  
Panel Data ◽  
Least Squares ◽  
Data Model ◽  
Government Spending ◽  
Generalized Least Squares ◽  
Panel Data Model ◽  
Flypaper Effect ◽  
Model Data ◽  
Local Government Expenditures ◽  
Central Sulawesi

FLYPAPER EFFECT PADA DANA ALOKASI UMUM (DAU) DAN PENDAPATAN ASLI DAERAH (PAD) SERTA PENGARUHNYA TERHADAP BELANJA DAERAH KABUPATEN/KOTA DI SULAWESI TENGAH Wiwin anggriani salawali, Paulus Kindangen and Agnes L.ch. P. Lapian Fakultas Ekonomi dan Bisnis, Magister Ilmu Ekonomi Universitas Sam Ratulangi, Manado ABSTRAK   Tujuan dilakukannya penelitian ini adalah untuk mengetahui apakah DAU dan PAD berpengaruh secara signifikan terhadap belanja daerah baik secara parsial dan simultan dan juga untuk mengetahui apakah telah terjadi flypaper effect pada Kabupaten/Kota di Sulawesi Tengah pada tahun 2007 sampai dengan 2012. Objek dari penelitian ini berfokus pada 10 Kabupaten/Kota yang ada di Sulawesi Tengah. Metode analisis yang digunakan dalam penelitian ini adalah model data panel dengan GLS (Generalized Least Squares). Hasil dari penelitian ini menyatakan bahwa secara parsial DAU dan PAD berpengaruh secara signifikan terhadap belanja daerah kabupaten/kota di Provinsi Sulawesi Tengah tersebut pada tahun 2007-2012 karena masing-masing nilai t statistik lebih besar dari t tabel α = 1% yaitu DAU sebesar 15,293 > 2,704 dan PAD sebesar 3,861 > 2,704. Secara simultan DAU dan PAD juga berpengaruh secara signifikan terhadap belanja daerah karena nilai F statistik lebih besar dari nilai F tabel α = 1% yaitu sebesar 165,716 > 99,50. Dalam penelitian juga didapat hasil bahwa terjadi flypaper effect dimana sumber penerimaan terbesar dari DAU yang mempengaruhi besaran belanja di tahun berikunya.   Kata kunci : DAU, PAD, Belanja Daerah dan Flypaper Effect.   ABSTRACT   The purpose of this study was to determine whether the DAU and PAD significantly influence the local government expenditures both partially and simultaneously and also to know whether there has been a flypaper effect on the districts / cities in Central Sulawesi in 2007 to 2012. The object of this study focuses on 10 districts / cities in Central Sulawesi province. The analytical method used in this study is panel data model with GLS (Generalized Least Squares). The results of this study stated that partially DAU and PAD significantly government spending district / town in Central Sulawesi province in the year 2007-2012 for each value of t statistic is greater than t table α = 1% which amounted to 15.293 DAU > 2.704 and revenue of 3.861 > 2.704. Simultaneously DAU and PAD also significantly affect regional spending because the value F statistic is greater than the value of F table α = 1% in the amount of 165.716 > 99.50. In the study also obtained results that occur flypaper where the largest revenue source of DAU which affect the amount of spending in the next year.   Keywords : DAU, PAD, Belanja Daerah and Flypaper Effect

NONLINEAR PANEL DATA MODELS WITH DISTRIBUTION-FREE CORRELATED RANDOM EFFECTS

2021 ◽  
pp. 1-25
Author(s):  
Yu-Chin Hsu ◽  
Ji-Liang Shiu
Keyword(s):  
Panel Data ◽  
Data Model ◽  
Conditional Distribution ◽  
Unobserved Heterogeneity ◽  
Random Effect ◽  
Data Models ◽  
Panel Data Model ◽  
Panel Data Models ◽  
Likelihood Functions ◽  
Correlated Random Effects

Under a Mundlak-type correlated random effect (CRE) specification, we first show that the average likelihood of a parametric nonlinear panel data model is the convolution of the conditional distribution of the model and the distribution of the unobserved heterogeneity. Hence, the distribution of the unobserved heterogeneity can be recovered by means of a Fourier transformation without imposing a distributional assumption on the CRE specification. We subsequently construct a semiparametric family of average likelihood functions of observables by combining the conditional distribution of the model and the recovered distribution of the unobserved heterogeneity, and show that the parameters in the nonlinear panel data model and in the CRE specification are identifiable. Based on the identification result, we propose a sieve maximum likelihood estimator. Compared with the conventional parametric CRE approaches, the advantage of our method is that it is not subject to misspecification on the distribution of the CRE. Furthermore, we show that the average partial effects are identifiable and extend our results to dynamic nonlinear panel data models.

A panel data model of length of stay in hospitals for hip replacements

2021 ◽  
Vol 40 (7) ◽  
pp. 688-707
Author(s):  
Yan Meng ◽  
Jiti Gao ◽  
Xibin Zhang ◽  
Xueyan Zhao
Keyword(s):  
Panel Data ◽  
Length Of Stay ◽  
Data Model ◽  
Panel Data Model ◽  
Hip Replacements
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