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標(biāo)題: Titlebook: Econometrics; Badi H. Baltagi Textbook 19981st edition Springer-Verlag Berlin Heidelberg 1998 cointegration.econometrics.integration.panel [打印本頁(yè)]

作者: Withdrawal    時(shí)間: 2025-3-21 19:10
書(shū)目名稱(chēng)Econometrics影響因子(影響力)




書(shū)目名稱(chēng)Econometrics影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Econometrics網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Econometrics網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Econometrics被引頻次




書(shū)目名稱(chēng)Econometrics被引頻次學(xué)科排名




書(shū)目名稱(chēng)Econometrics年度引用




書(shū)目名稱(chēng)Econometrics年度引用學(xué)科排名




書(shū)目名稱(chēng)Econometrics讀者反饋




書(shū)目名稱(chēng)Econometrics讀者反饋學(xué)科排名





作者: 蕨類(lèi)    時(shí)間: 2025-3-21 22:56
Simple Linear Regressionth observation on the dependent variable Y which could be consumption, investment or output, and X. denotes the i-th observation on the independent variable X which could be disposable income, the interest rate or an input. These observations could be collected on firms or households at a given poin
作者: harmony    時(shí)間: 2025-3-22 01:11

作者: 躺下殘殺    時(shí)間: 2025-3-22 07:35

作者: 節(jié)約    時(shí)間: 2025-3-22 11:12
The General Linear Model: The Basicsk. In this case, y is a column vector of dimension (nxl) and X is a matrix of dimension (nxk). Each column of X denotes a variable and each row of X denotes an observation on these variables. If y is consumption per capita in real terms, then the columns of X may contain a column of ones for the con
作者: Axillary    時(shí)間: 2025-3-22 13:36

作者: Axillary    時(shí)間: 2025-3-22 19:35
Generalized Least Squaresre Ω is a positive definite matrix of dimension (nxn). First Ω is assumed known and the BLUE for β is derived. This estimator turns out to be different from ., and is denoted by ., the generalized least squares estimator of β. Therefore, we study the properties of . under this non-spherical form of
作者: 千篇一律    時(shí)間: 2025-3-22 22:04

作者: 非實(shí)體    時(shí)間: 2025-3-23 04:16

作者: 兩棲動(dòng)物    時(shí)間: 2025-3-23 06:04

作者: Senescent    時(shí)間: 2025-3-23 11:47
Limited Dependent Variablesate from one region to the other. In all these cases, the dependent variable is a dummy variable with values 1 if the worker participates and 0 if he or she does not participate. We dealt with dummy variables as explanatory variables on the right hand side of the regression, but what additional prob
作者: Reclaim    時(shí)間: 2025-3-23 16:53
Time-Series Analysisetrics course in their graduate sequence. Obviously, one chapter on this topic will not do it justice. Therefore, this chapter will focus on some of the basic concepts needed for such a course. Section 14.2 defines what is meant by a . time-series, while sections 14.3 and 14.4 briefly review the Box
作者: Verify    時(shí)間: 2025-3-23 20:29

作者: 同步左右    時(shí)間: 2025-3-23 23:52

作者: gain631    時(shí)間: 2025-3-24 05:44

作者: Culmination    時(shí)間: 2025-3-24 06:55
https://doi.org/10.1007/978-3-642-85669-3nce of a .. Section 14.6 studies . and . versus . models. Section 14.7 gives a simple explanation of the concept of . and illustrates it with an economic example. Finally, section 14.8 looks at autoregressive conditionally heteroskedastic time-series.
作者: 玩忽職守    時(shí)間: 2025-3-24 13:04

作者: 他日關(guān)稅重重    時(shí)間: 2025-3-24 18:53
Time-Series Analysisnce of a .. Section 14.6 studies . and . versus . models. Section 14.7 gives a simple explanation of the concept of . and illustrates it with an economic example. Finally, section 14.8 looks at autoregressive conditionally heteroskedastic time-series.
作者: 長(zhǎng)處    時(shí)間: 2025-3-24 20:58
The General Linear Model: The Basicsenotes an observation on these variables. If y is consumption per capita in real terms, then the columns of X may contain a column of ones for the constant (usually the first column), real disposable per-capita personal income, and real assets.
作者: WATER    時(shí)間: 2025-3-25 00:37

作者: CHAR    時(shí)間: 2025-3-25 06:14
Wolfgang Meseth,Matthias Proskelems arise when this dummy variable appears on the left hand side of the equation? As we have done in previous chapters, we first study its effects on the usual least squares estimator, and then consider alternative estimators that are more appropriate for models of this nature.
作者: yohimbine    時(shí)間: 2025-3-25 10:53

作者: 秘密會(huì)議    時(shí)間: 2025-3-25 13:30
Limited Dependent Variableslems arise when this dummy variable appears on the left hand side of the equation? As we have done in previous chapters, we first study its effects on the usual least squares estimator, and then consider alternative estimators that are more appropriate for models of this nature.
作者: reserve    時(shí)間: 2025-3-25 18:50
Der Arzt und die berufliche Kooperation,ce-covariance assumption on the disturbances. Section 9.7 studies the properties of this BLUE for β when Ω is unknown, and is replaced by a consistent estimator. Section 9.8 studies what happens to the W, LR and LM statistics when u ~ N(0,σ.Ω).
作者: 有其法作用    時(shí)間: 2025-3-25 22:59
Generalized Least Squaresce-covariance assumption on the disturbances. Section 9.7 studies the properties of this BLUE for β when Ω is unknown, and is replaced by a consistent estimator. Section 9.8 studies what happens to the W, LR and LM statistics when u ~ N(0,σ.Ω).
作者: intimate    時(shí)間: 2025-3-26 02:40
Textbook 19981st editiondvanced undergraduate class. This can be supplemented by some of the material in later chapters that do not require matrix algebra, like the first part of Chapter lIon simultaneous equations and Chapter 14 on time-series analysis. This book teaches some of the basic econometric methods and the under
作者: LATHE    時(shí)間: 2025-3-26 04:49
Angewandte Medizin als Forschungsaufgabe,What is econometrics? A few defmitions are given below:.For other defmitions of econometrics, see Tintner (1953).
作者: 帶子    時(shí)間: 2025-3-26 09:44
https://doi.org/10.1007/978-3-7985-1960-2In this chapter, we relax the assumptions made in Chapter 3 one by one and study the effect of that on the OLS estimator. In case the OLS estimator is no longer a viable estimator, we derive an alternative estimator and propose some tests that will allow us to check whether this assumption is violated.
作者: GUEER    時(shí)間: 2025-3-26 13:55

作者: 干旱    時(shí)間: 2025-3-26 18:53

作者: Mortal    時(shí)間: 2025-3-26 21:38
https://doi.org/10.1007/978-3-662-00516-3cointegration; econometrics; integration; panel data; regression; regression analysis; statistics; time ser
作者: 易受騙    時(shí)間: 2025-3-27 04:38
Springer-Verlag Berlin Heidelberg 1998
作者: Recess    時(shí)間: 2025-3-27 09:00

作者: MARS    時(shí)間: 2025-3-27 12:43

作者: Torrid    時(shí)間: 2025-3-27 13:53
https://doi.org/10.1007/978-3-642-94375-1egressor. For example, the consumption relationship would include real wealth in addition to real per capita income. In fact, the life cycle theory of consumption would also include socio-demographic information, like the age of the population and the percent of that population on social security am
作者: 可行    時(shí)間: 2025-3-27 19:55
Tobias Schmidt-Wilcke,Dietrich Sturme, the effect of this public investment on growth in GNP will show up with a lag, and this effect will probably linger on for several years. It takes time before investment in research and development pays off in new inventions which in turn take time to develop into commercial products. In studying
作者: 靈敏    時(shí)間: 2025-3-27 22:36

作者: 我悲傷    時(shí)間: 2025-3-28 02:47
Der Arzt und die berufliche Kooperation,ying data points that are legitimate and contain valuable information which improve the efficiency of the estimation. It is constructive to isolate extreme points and to determine the extent to which the parameter estimates depend upon these desirable data.
作者: Solace    時(shí)間: 2025-3-28 09:06

作者: 獨(dú)行者    時(shí)間: 2025-3-28 12:24

作者: 運(yùn)動(dòng)的我    時(shí)間: 2025-3-28 18:02
https://doi.org/10.1007/978-3-540-48728-9n the workings of the economy. These behavioral equations are estimated equation by equation or jointly as a system of equations. These are known as .. Much of todays econometrics have been influenced and shaped by a group of economists and econometricians known as the Cowles Commission who worked t
作者: 凝結(jié)劑    時(shí)間: 2025-3-28 21:11

作者: 迅速飛過(guò)    時(shí)間: 2025-3-28 23:11

作者: Mitigate    時(shí)間: 2025-3-29 06:28
https://doi.org/10.1007/978-3-642-85669-3etrics course in their graduate sequence. Obviously, one chapter on this topic will not do it justice. Therefore, this chapter will focus on some of the basic concepts needed for such a course. Section 14.2 defines what is meant by a . time-series, while sections 14.3 and 14.4 briefly review the Box
作者: chassis    時(shí)間: 2025-3-29 09:51
https://doi.org/10.1007/978-3-642-94375-1egressor. For example, the consumption relationship would include real wealth in addition to real per capita income. In fact, the life cycle theory of consumption would also include socio-demographic information, like the age of the population and the percent of that population on social security among other things.
作者: Intrepid    時(shí)間: 2025-3-29 15:16
Der Arzt und die berufliche Kooperation,ying data points that are legitimate and contain valuable information which improve the efficiency of the estimation. It is constructive to isolate extreme points and to determine the extent to which the parameter estimates depend upon these desirable data.
作者: PHAG    時(shí)間: 2025-3-29 19:35

作者: Between    時(shí)間: 2025-3-29 21:56
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作者: 公式    時(shí)間: 2025-3-30 03:22

作者: 情節(jié)劇    時(shí)間: 2025-3-30 04:05

作者: 顛簸下上    時(shí)間: 2025-3-30 10:06

作者: Genistein    時(shí)間: 2025-3-30 14:44

作者: Derogate    時(shí)間: 2025-3-30 18:41

作者: capsaicin    時(shí)間: 2025-3-30 23:53

作者: Fraudulent    時(shí)間: 2025-3-31 04:30
Simple Linear Regression and X. They are assumed to be unknown parameters to be estimated from the data. A plot of the data, i.e., Y versus X would be very illustrative showing what type of relationship exists empirically between these two variables. For example, if Y is consumption and X is disposable income then we would
作者: DEI    時(shí)間: 2025-3-31 06:12

作者: invade    時(shí)間: 2025-3-31 09:39
Simultaneous Equations Modeldels. In this chapter, we first give simple examples of simultaneous equations models and show why the least squares estimator is no longer appropriate. Next, we discuss the important problem of identification and give a simple condition that helps check whether a specific equation is identified. Se
作者: debacle    時(shí)間: 2025-3-31 13:21





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