LAPORAN AKHIR PRAKTIKUM EKONOMETRIKA E Disusun Oleh: Graceby Indonesia karena merupakan bahan makanan penghasil karbohidrat kedua . |_ file 33 D:\DOC MATA KULIAH\DOC SHAZAM\Data Analisis Produksi Usahatani. Label: KUMPULAN MATERI KULIAH SAYA Dengan demikian, Ekonometrika adalah ilmu yang mencakup teori ekonomi, matematika, dan statistika dalam. Tulisan Terakhir. Materi Kuliah · Selamat Datang · Hello world! Blog Ekonometrika · Blog di Privasi & Cookie: Situs ini menggunakan cookie.
| Author: | Mikasa Dugar |
| Country: | Montserrat |
| Language: | English (Spanish) |
| Genre: | Technology |
| Published (Last): | 12 February 2007 |
| Pages: | 391 |
| PDF File Size: | 16.67 Mb |
| ePub File Size: | 9.32 Mb |
| ISBN: | 253-7-43707-705-8 |
| Downloads: | 69888 |
| Price: | Free* [*Free Regsitration Required] |
| Uploader: | Zolokinos |
Hal ini disebabkan terbatasnya factor produksi yang dimiliki oleh petani. Presentasi hasil akan dijelaskan dalam bentuk tabel sebagai berikut: The following are the major assumptions made by standard linear regression ekonnometrika with standard estimation techniques e.
Thus, although the terms “least squares” and “linear model” are closely linked, they are not synonymous.
Bahan Kuliah Ekonometrika – Repositori Universitas Andalas
Consider a situation where a small ball is being tossed up in the air and then we measure its heights of ascent h i at various moments in time t i. Dengan demikian, Ekonometrika adalah ilmu yang mencakup teori ekonomi, matematikadan statistika dalam satu kesatuan sistem yang bulat, menjadi suatu ilmu yang berdiri sendiri dan berlainan dengan ilmu ekonomi; matematika; maupun statistika. Penentuan lokasi penelitian ini dilakukan secara sengaja purposive. Note that this assumption is much less restrictive than it may at first seem.
Numerous extensions have been developed that allow each of these assumptions to be relaxed i. Sampel diambil dengan tekhnik acak sederhana Simple random sampling sebanyak 60 orang dari populasi orang petani jagung. Because the predictor variables are treated as fixed values see abovelinearity is really only a restriction on the parameters.
In linear regression, data are modelled using linear predictor functionsand unknown model parameters are estimated from the data. Artikel selengkapnya bisa diunduh di sini: Menjelaskan secara terperinci tentang langkah-langkah mengolah data dengan Eviews 5, disertai dengan gambar-gambar tampilan Eviews 5 pada setiap langkah pengelolaan data, dan disertai teori-teori ekonometrika pada setiap metode pengelolaan data. Analisis ini digunakan untuk mengetahui kaitan antara satu variabel dengan variabel yang lain.
Penggunaan faktor produksi yang belum tepat sesuai dengan anjuran menyebabkan produksi dan kualitas jagung yang dihasilkan beragam dan juga mempengaruhi pandapatan yang akan diterima petani. Sedangkan naik turunnya variabel Jumlah Benih berpengaruh terhadap produksi usahatani jagung di Desa Sumber Makmur, karena memiliki thitung 3, lebih besar dan dari ttabel 2, Berdasarkan data yang digunakan, ekonometri dibagi menjadi tiga analisis, yaitu analisis runtun waktu time seriesantar-wilayah cross sectiondan analisis data panel.
Log In Sign Up. Skip to main content. Error will not be evenly distributed across the regression line. Teorama-teorama yang persifat apriori pada ilmu ekonomi dinyatakan terlebih dahulu dalam bentuk matematik sehingga dapat dilakukan pengujian terhadap teorama-teorama itu.
Constant variance aka homoscedasticity. This means that different response variables have the same variance in their errors, regardless of the values of the predictor variables. Often these n equations are stacked together and written in vector form as where Some remarks on terminology and general use: Lack of multicollinearity in the ekkonometrika.
It is also possible in some cases to fix the problem by applying a transformation to the response variable e.
Linear regression was the first type of regression analysis to be studied rigorously, and to be used extensively in practical applications.
Typically, for example, ekonomrtrika response variable whose mean is large will have a greater variance than one whose mean is small. This makes linear regression an extremely powerful inference method.
Given kuljah data set of n statistical unitsa linear regression model assumes that the relationship between the dependent variable y i and the p -vector of regressors x i is linear. Bentuk matematik teorama ekonomi ini disebut model. Beberapa faktor produksi jagung yaitu luas lahan, benih, pupuk, benih, tenaga kerja, dan pestisida. Berapa besar nilai T-Hitung pada setiap level taraf kepercayaan masing- masing variabel bebas 1.
Bahan Kuliah Ekonometrika
This is to say there will be a systematic change in the absolute or squared residuals when plotted against the predicting outcome. In fact, as this shows, in many cases — often the same cases where the assumption of normally distributed errors fails — the variance or standard deviation should be predicted to be proportional to the mean, rather than constant.
Actual statistical independence is a stronger condition than mere lack of correlation and is often not needed, although it can be exploited if it is known to hold. For standard least squares estimation methods, the design matrix X must have full column rank p ,; otherwise, we have a condition known as multicollinearity in the predictor variables. Kontribusi Jagung Dalam Perekonomian Nasional.
This variable captures all other factors which influence the dependent variable y i other than the regressors x i. The relationship between the error term and the regressors, for example whether they are correlatedis a crucial step in formulating a linear regression model, as it will determine the method to use for estimation. Data yang digunakan berupa data primer dan data sekunder. Sometimes one of the regressors can be a non-linear function of another regressor or of the data, as in polynomial regression and segmented regression.
Bayesian linear regression techniques can also be used when the variance is assumed to be a function of the mean.
This can be triggered by having two or more perfectly correlated predictor variables e. Common examples are ridge regression and lasso regression.
Dari Wikipedia bahasa Indonesia, ensiklopedia bebas Langsung ke: Untuk Mengetahui Berapa besar nilai koefisien determinasi R2 menjelaskan variasi produksi dan pendapatan usahatani Jagung yang dapat dijelaskan oleh variabel penjelas yang dimasukkan dalam model. Methods for fitting linear models with multicollinearity have been developed; [ 1 ] [ 2 ] [ 3 ] [ 4 ] some bahab additional assumptions such as “effect sparsity” — that a large fraction of the effects are exactly zero.
Alat analisis yang digunakan adalah tipe fungsi produksi Coog Douglas, analisis pendapatan dengan cara mengurangkan penerimaan total dengan biaya total. Data primer diperoleh melalui wawancara dengan petani jagung dengan menggunakan daftar pertanyaan dan kuesioner yang ditentukan secara sengaja di Desa Sumber Makmur Kecamatan Lubuk Pinang Kabupaten Mukomuko. Dalam perekonomian nasional, sumbangan muliah terhadap Produk Domestik Bruto PDB terus meningkat setiap tahun, sekalipun pada saat krisis ekonomi.
If the goal is predictionor forecastinglinear regression can be used to fit a predictive model to an observed data set of y and X values. Alternatively, there may be an operational reason to model one of the variables in terms of the others, in which case there need be no presumption of causality.
Dari hasil estimasi yang dilakukan diperoleh bahwa nilai R-Square R 2 sebesar 0. Conversely, the least squares approach can kuliha used to fit models that are not linear models.