標(biāo)題: Titlebook: Econometrics in Theory and Practice; Analysis of Cross Se Panchanan Das Book 2019 Springer Nature Singapore Pte Ltd. 2019 Econometrics.Cros [打印本頁] 作者: deliberate 時間: 2025-3-21 17:34
書目名稱Econometrics in Theory and Practice影響因子(影響力)
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書目名稱Econometrics in Theory and Practice網(wǎng)絡(luò)公開度
書目名稱Econometrics in Theory and Practice網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Econometrics in Theory and Practice被引頻次
書目名稱Econometrics in Theory and Practice被引頻次學(xué)科排名
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書目名稱Econometrics in Theory and Practice年度引用學(xué)科排名
書目名稱Econometrics in Theory and Practice讀者反饋
書目名稱Econometrics in Theory and Practice讀者反饋學(xué)科排名
作者: 走路左晃右晃 時間: 2025-3-21 21:12 作者: 災(zāi)難 時間: 2025-3-22 00:43 作者: 溺愛 時間: 2025-3-22 07:20 作者: myopia 時間: 2025-3-22 09:13
Kajsa Lindberg,Alexander Styhre,Lars Walteris of the sample. Regression analysis is an important tool used in econometrics to analyse quantitative data for estimating model parameters and making forecasts. Data are the main inputs in econometric analysis. Therefore, a researcher should have a clear idea about the data.作者: Collar 時間: 2025-3-22 15:28 作者: Collar 時間: 2025-3-22 17:16
Assessing Dynamics of Democratisationof unobserved heterogeneity by including one set of dummy variables, while a two-way model takes care of both cross section-specific and time-specific heterogeneity by taking two sets of dummy variables. This chapter discusses different types of panel data model in a static framework.作者: Homocystinuria 時間: 2025-3-23 00:48 作者: Arthr- 時間: 2025-3-23 02:14 作者: aviator 時間: 2025-3-23 09:07 作者: 有花 時間: 2025-3-23 10:30 作者: GRUEL 時間: 2025-3-23 15:34
Analysis of Collinear Data: Multicollinearityxamines the regression model when the assumption of independence among the independent variables is violated. The concept of multicollinearity and its consequences on the least squares estimators are explained. The detection of multicollinearity and alternatives for handling the problem are also discussed in this chapter.作者: fiscal 時間: 2025-3-23 20:03
Multivariate Analysisivariate analysis very briefly. We discuss here mainly the principal component analysis, factor analysis and multivariate regression analysis. The techniques are widely used in empirical research in different areas with cross section data.作者: 針葉類的樹 時間: 2025-3-24 00:14
Unconditional Jumps and Keyboard Input,the basis of the estimates from the known sample. In classical econometrics, the principal way of doing this is performing hypothesis tests and constructing confidence intervals. This chapter deals with this problem.作者: 手銬 時間: 2025-3-24 04:16 作者: 都相信我的話 時間: 2025-3-24 08:52
https://doi.org/10.1007/978-3-7091-8756-2 A dummy variable which is binary in nature is used to represent qualitative information in a linear regression model. This chapter explains how qualitative explanatory variables can be incorporated into a linear model.作者: 思想 時間: 2025-3-24 12:56
Differences in Sexual Orientationn addition to being interested in the contemporaneous relationships among such variables, we are often concerned with relationships between their current and past values. This chapter discusses data generating process of time series data and how time series data are generated.作者: Obituary 時間: 2025-3-24 18:50 作者: Abrade 時間: 2025-3-24 18:59 作者: 無意 時間: 2025-3-24 23:16
ty, the regression coefficients for an ordinary least squares regression are still unbiased, but the standard errors and confidence intervals estimated by conventional procedures will be large, giving a false sense of precision. This chapter examines the behaviour of volatility in terms of conditional heteroscedasticity model.作者: Antigen 時間: 2025-3-25 03:43 作者: 車床 時間: 2025-3-25 07:51 作者: 骨 時間: 2025-3-25 13:13
Cointegration, Error Correction and Vector Autoregressionoth statistically sound and economically meaningful. His work has also provided the underpinnings for modelling with rich dynamics among interrelated economic variables. The development of the concept of cointegration by Granger (.) has changed radically the way through which empirical models of macroeconomic relationships are formulated today.作者: 舊石器 時間: 2025-3-25 17:59 作者: 細(xì)絲 時間: 2025-3-25 23:42
Time Series Forecasting Forecasting on time series is essentially a form of extrapolation which involves estimating a model with a sample data set and using the estimated model outside the range of data by using which the model has been estimated.作者: 保留 時間: 2025-3-26 00:10 作者: 借喻 時間: 2025-3-26 04:32
Linear Regression Model: Goodness of Fit and Testing of Hypothesisthe basis of the estimates from the known sample. In classical econometrics, the principal way of doing this is performing hypothesis tests and constructing confidence intervals. This chapter deals with this problem.作者: 挑剔為人 時間: 2025-3-26 09:38 作者: dearth 時間: 2025-3-26 12:52 作者: obligation 時間: 2025-3-26 18:32 作者: 個阿姨勾引你 時間: 2025-3-26 23:00 作者: 珊瑚 時間: 2025-3-27 01:23
Assessing AIDS Prevention in Switzerlandchastic process of a time series. We analyse the shapes of the ACF and PACF of different types of data generating process. The estimation of ACF and PACF is illustrated by using Stata software with time series data taken from National Accounts Statistics in India.作者: 吵鬧 時間: 2025-3-27 06:15 作者: ostrish 時間: 2025-3-27 12:54 作者: critique 時間: 2025-3-27 15:55
Kajsa Lindberg,Alexander Styhre,Lars Walter real-life data. Econometric methods are helpful in explaining the stochastic relationship in mathematical form among variables. Applied econometrics is the application of econometric theory to analyse economic phenomenon with economic data. While an economic model provides a theoretical relation, a作者: 脾氣暴躁的人 時間: 2025-3-27 20:53 作者: 傾聽 時間: 2025-3-27 22:42 作者: BRIBE 時間: 2025-3-28 05:58
https://doi.org/10.1007/978-1-349-07360-3ters of the linear model are correctly estimated and tested in presence of heteroscedastic and autocorrelated error in the model. Random errors are heteroscedastic when they have different variances for different predictors. Heteroscedasticity is a problem mainly for cross section data. The problem 作者: seruting 時間: 2025-3-28 10:19
Assembly Line Planning and Controlrs. Multicollinearity is one of several problems in regression analysis. The term multicollinearity was first introduced by Frisch (.). This chapter examines the regression model when the assumption of independence among the independent variables is violated. The concept of multicollinearity and its作者: 草本植物 時間: 2025-3-28 12:19 作者: deactivate 時間: 2025-3-28 17:06
Economics of robots and grippers, are restricted in a sense that they are nonnegative or even much more limited in their values. This chapter deals with econometric models of limited dependent variables capturing economic agent’s response in limited way. In such a model, the response variable is represented as 1 or 0, corresponding作者: LOPE 時間: 2025-3-28 22:36 作者: 鋼筆尖 時間: 2025-3-29 02:23 作者: negligence 時間: 2025-3-29 04:41 作者: 殘忍 時間: 2025-3-29 10:06 作者: Noisome 時間: 2025-3-29 12:04 作者: 取消 時間: 2025-3-29 18:20 作者: cringe 時間: 2025-3-29 20:12 作者: 憤慨一下 時間: 2025-3-30 03:05 作者: 的染料 時間: 2025-3-30 05:22
https://doi.org/10.1007/978-981-32-9019-8Econometrics; Cross-Sectional Models; Time-Series Models; Models with Panel Data; Applied Econometrics作者: esthetician 時間: 2025-3-30 10:43 作者: Statins 時間: 2025-3-30 16:13 作者: Dendritic-Cells 時間: 2025-3-30 16:56
http://image.papertrans.cn/e/image/301465.jpg作者: Condense 時間: 2025-3-30 23:11 作者: ineffectual 時間: 2025-3-31 04:02
