Pooling cross section and time series data in the estimation of regional demand and supply functions

1982 ◽  
Vol 11 (2) ◽  
pp. 229-241 ◽  
Author(s):  
Jae K. Shim
2011 ◽  
Vol 50 (4II) ◽  
pp. 715-732 ◽  
Author(s):  
Naseeb Zada ◽  
Malik Muhammad ◽  
Khan Bahadar

Given the importance of international trade and export performance in economic growth, this study attempts to examine the determinants of exports of Pakistan, using a time series data over the period 1975-2008. A simultaneous equation approach is followed and the demand and supply side equations are specified with appropriate variables. This is a country-wise disaggregated analysis of Pakistan versus its trade partners and the estimation strategy is based on two approaches. First we employ the Generalised Methods of Moments (GMM), which is followed by the Empirical Bayesian technique to get consistent estimates. The GMM technique is believed to be efficient for time series data provided the sample size is sufficiently large. In case of small samples, the estimates might not be precise and might appear with unbelievable sign and insignificant magnitudes. To avoid the sample bias and other problems, we employ the Empirical Bayesian technique which provides much precise estimates. The factual results obtained via the GMM technique are a little bit mixed, although most of the coefficients are found to be statistically significant and carry their expected signs. In order to compare and validate these results, the Empirical Bayesian technique is employed. This offers considerable improvement over the previous results and all the variables are found to be highly significant with correct sign across the countries concerned with the exception of a few cases. The price and income elasticities in both the demand and supply side equations carry their expected signs and significant magnitudes for the trading partners. The findings suggest that exports of Pakistan are much sensitive to changes in the world demand and world prices. This establishes the importance of demand side factors like world GDP, Real exchange rate, and world prices to determine the exports of Pakistan. On the supply side, we find relatively small price and income elasiticities. The results reveal that demand for exports is relatively higher for countries in NAFTA, European Union and Middle East regions. The study recommends particular concentration on the trade partners in these regions to improve the export performance of Pakistan. Keywords: Exports, GMM, Empirical Bayesian Method, Pakistan


2021 ◽  
Vol 5 (1) ◽  
pp. 72
Author(s):  
Zikra Agusti Humaira

<em>This research aims to determine the effect of Return On Equity (ROE) on Sharia Share Prices of the Property Sector Moderated by Corporate Social Responsibility (CSR). The population of this research is all property sector companies listed on the Indonesia Stock Exchange from 2011 to 2017. The research sample was taken using a purposive sampling method, so that a sample of 12 companies was obtained. The data analysis technique used is the panel data regression method which is a combination of cross section data and time series data using Eviews 7 software. The results of the analysis show Return On Equity (ROE) does not have a significant effect on the price of sharia shares in the property sector and Corporate Social Responsibility (CSR) is proven to strengthen the effect of ROE on the sharia stock price of the property sector. The findings of this study will be useful for relevant policy makers because disclosure of CSR in financial statements will provide positive sentiment that will increase investor confidence to invest.</em><br /><em><br /></em>Penelitin ini bertujuan untuk mengetahui pengaruh <em>Return On Equity</em> (ROE) Terhadap Harga Saham Syariah Sektor Properti Yang Dimoderasi Oleh <em>Corporate Social Responsibility</em> (CSR). Populasi penelitian ini adalah seluruh perusahaan sektor properti yang terdaftar di Bursa Efek Indonesia tahun 2011 hingga 2017. Sampel penelitian diambil menggunakan metode <em>purposive sampling</em>, sehingga diperoleh sampel sebanyak 12 perusahaan. Teknik analisis data yang digunakan adalah metode regresi data panel yang merupakan gabungan dari data <em>cross section</em> dan data <em>time series</em> dengan menggunakan software <em>Eviews 7</em>. Hasil analisis menunjukkan <em>Return On Equity </em>(ROE) tidak memiliki pengaruh yang signifikan terhadap harga saham syariah sektor properti dan <em>Corporate Social Responsibility </em>(CSR) terbukti memperkuat pengaruh ROE terhadap harga saham syariah sektor properti. Temuan penelitian ini akan bermanfaat bagi pengambil kebijakan terkait karena pengungkapkan CSR dalam laporan keuangan akan menjadi nilai yang akan menambah kepercayaan investor untuk melakukan investasi.<br /><strong>Kata Kunci : </strong>Harga Saham Sektor Properti, ROE, CSR


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