Estimating the Parameters of a Distributed Lag Model from Cross-Section Data: The Case of Hospital Admissions and Discharges

1974 ◽  
Vol 69 (347) ◽  
pp. 627-633 ◽  
Author(s):  
Charles R. Nelson ◽  
G. William Schwert
2020 ◽  
Vol 20 (2) ◽  
pp. 146-159
Author(s):  
Tarina Palokoto ◽  
Evi Yulia Purwanti ◽  
Y. Bagio Mudakir

Crime affects people’s decisions in carrying out economic activity. This study aims to analyze the influence of several crime typologies and non-crime variables on per capita Gross Regional Domestic Product (GRDP) and identify the existence of spatial dependencies of per capita GRDP in Indonesia. The study used cross section data with the Spatial Lag Model (SLM). The results show that there is a negative spatial autocorrelation in per capita GRDP. Murder and labor affect GRDP per capita negatively. Meanwhile, fraud, embezzlement, and corruption; local government expenditure, life expectancy, domestic investment, and foreign investment affect per capita GRDP positively per capita GRDP. ------------------------------------- Kejahatan memengaruhi keputusan masyarakat melakukan kegiatan ekonomi. Penelitian ini bertujuan menganalisis pengaruh dari beberapa tipologi kejahatan dan variabel nonkejahatan terhadap Produk Domestik Regional Bruto (PDRB) per kapita serta mengidentifikasi adanya dependensi spasial dari PDRB per kapita di Indonesia. Penelitian ini menggunakan data cross section dengan Spatial Lag Model (SLM). Hasil penelitian menunjukkan terdapat autokorelasi spasial negatif pada PDRB per kapita. Kejahatan pembunuhan dan tenaga kerja memengaruhi PDRB per kapita secara negatif dan signifikan. Sementara itu, variabel kejahatan penipuan/perbuatan curang, penggelapan, dan korupsi; pengeluaran pemerintah daerah, angka harapan hidup, Penanaman Modal Dalam Negeri (PMDN), serta Penanaman Modal Asing (PMA) berpengaruh positif dan signifikan terhadap PDRB per kapita.


Econometrica ◽  
1969 ◽  
Vol 37 (3) ◽  
pp. 552
Author(s):  
V. K. Chetty

2021 ◽  
Vol 13 (12) ◽  
pp. 6550
Author(s):  
Wanvilai Chulaphan ◽  
Jorge Fidel Barahona

Tourism authorities in Thailand have consistently pursued profit-seeking mass tourism, resulting in the detriment of the natural resources in major tourist destinations. In response, sustainable tourism projects centered on preserving the environment have been established but neglect the financial needs of tour operators. The objective of this study was to investigate the determinants of tourist expenditure per capita in Thailand using a dataset consisting of 31 countries from 2010 to 2017. The analysis was based on an autoregressive distributed lag model (ARDL) and used a panel estimated generalized least square (ELGS). Generating such knowledge is essential for tourist authorities to develop profitable and sustainable tourism projects in tourist destinations whose natural resources have been affected by profit-seeking tourism. The tourism expenditure per capita is positively affected by word of mouth, income, and the rising prices in other major tourist destinations in Asia. However, it was negatively affected by relative levels of price and corruption. Sustainable tourism projects can be used to develop activities that will help distinguish Thailand from other tourism destinations in Asia. However, in implementing these sustainable tourism initiatives, the mark-up should be minimized to keep tourist prices in Thailand competitive.


1986 ◽  
Vol 94 (1-4) ◽  
pp. 49-52 ◽  
Author(s):  
R. C. Hertzog ◽  
P. D. Soran ◽  
J. S. Schweitzer

2010 ◽  
Vol 68 (9) ◽  
pp. 1656-1661 ◽  
Author(s):  
M.S. Uddin ◽  
M.R. Zaman ◽  
S.M. Hossain ◽  
I. Spahn ◽  
S. Sudár ◽  
...  

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