Listing Econometrics Articles On this page you can find articles by category  Econometrics on the website of the Studio. In this category  Econometrics  288 additions.
 Tiptik esepterdi sheshu ;
 TOPICS AND THEIR SUMMARY ;
 Theme 9. System of econometric equations ;
 Theme 7. Models with distributed lag ;
 Theme 6. Time series ;
 Theme 5. Multiple regression model ;
 Theme 4. Pair regression model. Paired (simple, onefactorial) regression  regression, in which the dependence of the indicator Y on one factor X is considered ;
 Theme 4. Pair regression model. 1. Pairwise regression model: specification and essence. ;
 Theme 3. Information technology econometric ;
 Theme 3. Information technology in econometric research ;
 Theme 2. Correlation and regression ;
 Topic 1. Subject, tasks, features of econometrics ;
 Student distribution ;
 Equating this with the righthand side of the 2nd equation (4.1) we obtain ;
 An example of solving the problem. ;
 Construction of a multiplicative model ;
 Excel analysis package (Regression program) ;
 Distributed lag models
 METHODOLOGICAL SUPPORT FOR EXTRAAUDITING WORK OF TRAINERS AND JUSTIFICATION OF TIME TAKEN OUT FOR ITS PERFORMANCE ;
 METHODOLOGICAL INSTRUCTIONS FOR IMPLEMENTATION. Tests of control work for students of distance learning formulated in accordance with the curriculum discipline "Econometrics". ;
 Methodological instructions for extracurricular work of students ;
 Mathematical methods for the analysis of financial derivatives ;
 Laboratory work No. 5. The method of exponential smoothing to predict time series ;
 Laboratory work No. 3. Trending models of time series ;
 Laboratory work No. 2. Binary variables in models of multiple regression ;
 Laboratory work No. 1. Models of multiple regression ;
 TASKS FOR PRACTICAL LESSONS AND CONTROL WORKS ;
 Task 3. Information technology econometric studies ;
 Task 9. The system of econometric equations. ;
 Task 7. Model with distributed lag ;
 Task 5. Multiple regression model ;
 Task 2. Multiple regression ;
 Task 2. Correlation and regression ;
 Types of nonlinear regression models, calculation of their parameters ;
 Introduction to Econometrics ;
 II. Topics in Econometrics ;
 Econometric Views 3.1 ;
 Stages of extrapolation of time series ;
 Stages of building an econometric model ;
 Exponential distribution. ;
 Econometric models ;
 ECONOMETRY. P1. Elements of probability theory and mathematical statistics. ;
 What is the basis of multistep regression analysis? ;
 What is meant by forecasting in econometrics? ;
 What does homoskedasticity mean? ;
 Numerical measures of correlation ;
 The purpose, objectives and content of the discipline ;
 The purpose of the lesson on each topic of independent work ;
 Objectives of the discipline ;
 The CobbDouglas function is called ;
 Wording of the definitions of the concept of "econometrics" ;
 EDUCATIONAL AND METHODICAL SUPPORT OF DISCIPLINE ;
 Educationalmethodical and information support of the discipline (module) "Econometrics" ;
 EDUCATIONAL AND METHODOLOGICAL AND INFORMATION SUPPORT OF DISCIPLINE (MODULE) ;
 EDUCATIONAL AND METHODICAL MAP OF DISCIPLINE ;
 Conditional data on the subjects of Russia for 199X. ;
 Conditions for the implementation of the program of academic discipline ;
 Improving existing alternatives and finding new ones ;
 Labor intensity of the discipline and types of study ;
 Training tasks ;
 Training tasks ;
 Requirements for the level of mastering the content of the discipline ;
 Requirements for professional competencies ;
 Point forecast and assessment of forecast confidence intervals ;
 Spearman's rank correlation test  test for ;
 Thext of an individual assignment ;
 Thext of an individual assignment ;
 Theoretical foundations of working with Statistica 6.0 ;
 Theoretical questions ;
 Theoretical questions ;
 Themes of tests ;
 Topic No. 8 Generalized Least Squares Method ;
 Theme number 5. Least squares method ;
 Theme №11Characteristics of time series ;
 Lecture theme 1. Introduction to econometrics. Elements of probability theory and mathematical statistics. ;
 Topic 9. Issues of the practical use of regression models. Regression models with variable structure. Dummy variables. ;
 Theme 8. The generalized method of least squares (OMNK). ;
 Theme 4. OLS for multiple linear regression ;
 Topic 4. Interpretation of the regression equation. Quality assessment. ;
 Theme 3. Transformations of variables and nonlinear regression ;
 Theme 2. Multiple regression ;
 Topic 10. Linear model with two independent variables. ;
 Theme 1. The main aspects of econometric modeling ;
 The sum of the deviation modules ;
 Structure of econometrics ;
 The structure and content of the discipline ;
 Stationary and nonstationary rows ;
 Statistical analysis of the regression equation ;
 Statistical analysis of data ;
 Statistical hypothesis testing ;
 Statistical estimation of regression parameters and ;
 Statistics of interval data  a scientific direction at the intersection of metrology and statistics ;
 STANDARD FUNCTION LGRFPRIBLE (y, x, 1,1) ;
 Ways to eliminate multicollinearity ;
 A way to eliminate the correlation of regressors with residues using instrumental variables ;
 Specificity of economic data ;
 Comparability of levels of a time series ;
 The content of the discipline ;
 CONTENT OF EDUCATIONAL MATERIAL (SECTIONS, TOPICS, QUESTIONS) ;
 The content of educational modules ;
 The content of the main part of the course work in modeling the time series ;
 The content of the main part of the course work in the study of multiple relationships ;
 The case of nonlinear coordinate functions ;
 Systems of econometric models ;
 Syntax: TPDF (p; df) ;
 Properties of least squares estimates ;
 Solving the problem of multicollinearity ;
 Recommended (approximate) content of educational modules ;
 Implementation of typical tasks on a personal computer. ;
 CALCULATION OF THE GENERAL AND PRIVATE FCRITERION OF FISHER. ;
 Student distribution ;
 Variable observation rank  the number of observation of a variable in an ordered ___________ sequence ;
 Difference equations with lag variables ;
 There are paired and multiple regression equations. ;
 Work program on econometrics. ;
 PROTOCOL OF AGREEMENT OF THE CURRICULUM FOR THE STUDYED EDUCATIONAL DISCIPLINE WITH OTHER SPECIALTIES ;
 Simple exponential smoothing ;
 The simplest types of extrapolation of time series ;
 Intermediate control ;
 Checking the statistical significance of the correlation coefficient ;
 Checking the significance of model parameters ;
 Checking the significance of the model ;
 Verification of the conditions for obtaining "good" least squares estimates ;
 A sample list of topics of term papers ;
 Approximate topics of trainings ;
 An example of solving problem No. 3: Construction of an autocorrelation function for a random store revenue growth process ;
 An example of solving problem No. 2: Construction and study of an econometric model of a store in the form of linear threedimensional regression ;
 An example of solving problem No. 1: Construction and research of an econometric store model in the form of a linear pair regression ;
 If the significance level decreases, the risk is to make a mistake of the first kind ;
 What statistics are used to check the significance of the pair correlation coefficient r? ;
 Foreword 3 ;
 Preliminary analysis of time series ;
 Practical work 7 ;
 Practical work 2 ;
 We construct nonlinear models ;
 Building an equation using the Chart Wizard function ;
 Making a forecast using the regression equation ;
 Construction of a parametric regression model ;
 Construction of a matrix of pair correlation coefficients ;
 The concept of a random process ;
 The concept of a model, system ;
 Useful links to Internet resources ;
 Accuracy indicators of the model ;
 Indicators of measurement of tightness and strength of communication ;
 Model adequacy indicators ;
 By what criteria is the significance of the pair correlation coefficient checked? ;
 The list of practical work ;
 The first GaussMarkov condition is that _________ for any i ;
 Passport of the work program of the discipline ;
 Paired measuring (regression) models and correlation ;
 Pairwise regression and correlation ;
 PAIR INDICATIVE REGRESSION ;
 Evaluation tools for intermediate certification ;
 Assessment of the accuracy and adequacy of a model based on residuals ;
 Assessment of statistical significance ;
 Estimation of calculation errors by the regression equation ;
 Estimation of the reliability of the regression equation ;
 Quality assessment of econometric regression models by adequacy. ;
 Assessing the adequacy of the regression equation (testing hypotheses about the premises of the least squares method) ;
 Assessment of the adequacy of the constructed model ;
 Estimation of parameters of a regression model ;
 The main goals and objectives of the applied correlation and regression analysis ;
 Basic concepts of econometrics ;
 Basic methods of econometrics ;
 The basic premise of econometric analysis ;
 Definition of seasonal components ;
 Determination of the seasonality season ;
 Determination of the presence of a trend ;
 Univariate linear regression model. ;
 GENERAL REQUIREMENTS FOR THE CONTENTS AND LEVEL OF DEVELOPMENT OF THE DISCIPLINE ;
 Generalized model quality criteria ;
 Generalized time series model ;
 Generalized adaptive model ;
 Autocorrelation detection ;
 About the length of the time series ;
 The initial conditions for exponential smoothing ;
 The name of the topics of practical training, their content and scope ;
 Module 8. Estimation of systems of simultaneous equations. ;
 Black box type model ;
 Moving Average Model ;
 Model of seasonal phenomena with linear growth ;
 MODEL OF PAIRED NONLINEAR REGRESSION ;
 MODEL OF PAIRED LINEAR REGRESSION ;
 Model for longterm forecasting of the economy ;
 Modeling the structure of the time series ;
 Modeling seasonal and cyclical fluctuations ;
 Pairwise Regression Models ;
 Linear growth models ;
 Models of autoregression and moving average ;
 Multiple correlation analysis ;
 Multiple regression ;
 Multidimensional probability distributions ;
 OLS gives __________ for this sample the value of the coefficient of determination R2 ;
 Mechanical alignment methods ;
 Methods for revealing the structure of a time series ;
 Guidelines for the preparation of the report ;
 Guidelines for the implementation of the control task ;
 Methodical instructions for students ;
 METHODICAL RECOMMENDATIONS FOR STUDENTS ON THE STUDY OF DISCIPLINE ;
 Least Squares Method (OLS). ;
