標(biāo)題: Titlebook: Applied Econometric Analysis Using Cross Section and Panel Data; Deep Mukherjee Book 2023 The Editor(s) (if applicable) and The Author(s), [打印本頁] 作者: 兩邊在擴散 時間: 2025-3-21 19:48
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書目名稱Applied Econometric Analysis Using Cross Section and Panel Data讀者反饋學(xué)科排名
作者: Cardiac-Output 時間: 2025-3-22 00:10
Binary and Ordinal Probit Regression: Applications to Public Opinion on Marijuana Legalization in thse or outcome) variable takes values which are discrete and inherently ordered. Within this setting, the dependent variable may take only two values (such as 0 and 1) giving rise to binary models (e.g., probit and logit) or more than two values (say ., where . is a small integer) giving rise to ordi作者: opportune 時間: 2025-3-22 01:27
Random Logit Model: An Application to?US Soft Drink Differentiated Demand Estimationso known as the BLP model. The chapter discusses reasons for the BLP’s superiority over traditional demand models, such as the AIDS models. It also describes recent development in the BLP-type literature, especially dealing with computational issues. In addition, the chapter covers the empirical pro作者: notice 時間: 2025-3-22 08:23
Quantile Regression and Decomposition Techniques: An Application to Nutritional Demand in Indiatile regression using rich nutrition data from rural India. The unique feature of estimating parameters at various quantiles of the distribution has several advantages: (a) it allows analyzing the relationship between variables beyond the mean; (b) it allows analyzing variables that are not independ作者: 漂白 時間: 2025-3-22 11:20
Mixture Models: Identifying Consumption Classes in Post-liberalization Indiall population, without any information about the membership of individuals in the sub-populations or even the number of sub-populations. In this chapter, I present the theory of mixture models, and an application in which I identify consumption classes in urban India in 1999–00 (NSS). Suppose there 作者: 美色花錢 時間: 2025-3-22 15:30
Nonparametric and Semiparametric Regressions: An Empirical Investigation of Engel’s Law in the Conteous functional forms, which can produce biased estimates. Most empirical studies in economics use parametric specifications to analyze the linear relationship between the dependent and independent variables of interest. Semi- or nonparametric regression models offer a significant advance, as they al作者: 松果 時間: 2025-3-22 17:07
A Primer on Spatial Regression Models: Applications to Poverty and Inequality of Indian Districts is questionable whenever the units of analysis are spatially dependent. The first step for capturing spatial dependence is to define a spatial weight matrix, where the matrix elements capture pairwise spatial dependence between the units of analysis. Given the weight matrix, two main models that ev作者: COMA 時間: 2025-3-22 22:57
Hurdle Regression Models: An Application to Consumer Behavior in?the?United Statesture surveys. These models are of particular interest to explain the presence of a large proportion of zero observations for the dependent variable by means of censoring mechanisms, called hurdles. For the analysis of censored household expenditure data, up to three hurdles, expressing, respectively作者: 駭人 時間: 2025-3-23 04:43 作者: 精確 時間: 2025-3-23 06:06
Multivariate Tobit Model: An Application to Farmer Adoption of Soil Erosion Practices in El Salvadornd its extension the multivariate Tobit model which is essentially a Seemingly Unrelated Regression or multi-equation Tobit system. The model is illustrated through an empirical application on technology adoption problem in agriculture. In developing countries, failures of programs to formulate tech作者: BLINK 時間: 2025-3-23 09:51
Propensity Score Matching and Difference-In-Difference Estimator for Impact Evaluations: A Case Studin their development process. These projects, often called “programs,” are of different natures and target different sectors in the economy, as well as different aspects of society or different demographic groups. This chapter discusses econometric methods based on panel data to evaluate the impact 作者: 人類 時間: 2025-3-23 17:17 作者: anticipate 時間: 2025-3-23 18:49
Sample Selection Models for Panel Data: Application to Labor Force Participation in Indiatrate the theoretical foundations for estimating regression models where sample selection can potentially lead to bias and inconsistency in the estimates, with a special focus on the Heckman model. We explain the challenges of applying a standard selection model in the panel data framework, especial作者: 新娘 時間: 2025-3-23 23:41 作者: 星星 時間: 2025-3-24 03:25
Spatial Dynamic Panel Model: An Application to Environmental Violations in Brazilross-sectional data. In recent years, a great deal of theoretical effort has been made to deal with data from spatial observations that are repeated throughout time, named panel data models. These models take advantage of the more information available, which helps to fix some selection problems exi作者: 修改 時間: 2025-3-24 10:17 作者: Magnitude 時間: 2025-3-24 11:35
Threshold Regression Model with Panel Data: Investigating Inflation-Growth Relationship in Europef the slope parameters. Threshold regression model was extended for panel data first by (Hansen, J Econ 93:345–368, 1999) in estimating firms’ investment function under financial constraints. (Hansen, J Econ 93:345–368, 1999) model is fixed effect static model which requires covariates to be strongl作者: 萬花筒 時間: 2025-3-24 16:29 作者: figment 時間: 2025-3-24 19:59 作者: Ondines-curse 時間: 2025-3-25 00:23
Applied Econometric Analysis Using Cross Section and Panel Data978-981-99-4902-1Series ISSN 1431-1933 Series E-ISSN 2197-7178 作者: keloid 時間: 2025-3-25 04:33 作者: LIMN 時間: 2025-3-25 07:36
https://doi.org/10.1007/978-1-4020-6226-1se or outcome) variable takes values which are discrete and inherently ordered. Within this setting, the dependent variable may take only two values (such as 0 and 1) giving rise to binary models (e.g., probit and logit) or more than two values (say ., where . is a small integer) giving rise to ordi作者: SOB 時間: 2025-3-25 14:16 作者: 北極熊 時間: 2025-3-25 16:12
L. Bornatici,C. Ciaponi,S. Papiritile regression using rich nutrition data from rural India. The unique feature of estimating parameters at various quantiles of the distribution has several advantages: (a) it allows analyzing the relationship between variables beyond the mean; (b) it allows analyzing variables that are not independ作者: 障礙物 時間: 2025-3-25 22:21 作者: Cardioplegia 時間: 2025-3-26 03:42
https://doi.org/10.1007/978-3-030-88292-1ous functional forms, which can produce biased estimates. Most empirical studies in economics use parametric specifications to analyze the linear relationship between the dependent and independent variables of interest. Semi- or nonparametric regression models offer a significant advance, as they al作者: 加入 時間: 2025-3-26 04:32 作者: BLINK 時間: 2025-3-26 10:52 作者: 抑制 時間: 2025-3-26 12:43
Giovanni Maciocco,Silvia Serreli increasing need to model several and mixed (dependent) variables in a system, either as a system seemingly unrelated regressions, or in a more general system of simultaneous equations. However, few econometric models have been developed to handle such empirical questions and many other complex deve作者: Pamphlet 時間: 2025-3-26 18:57
Giovanni Maciocco,Silvia Serrelind its extension the multivariate Tobit model which is essentially a Seemingly Unrelated Regression or multi-equation Tobit system. The model is illustrated through an empirical application on technology adoption problem in agriculture. In developing countries, failures of programs to formulate tech作者: Pathogen 時間: 2025-3-27 00:47 作者: IRK 時間: 2025-3-27 02:57 作者: SOBER 時間: 2025-3-27 06:10
Urban and Landscape Perspectivestrate the theoretical foundations for estimating regression models where sample selection can potentially lead to bias and inconsistency in the estimates, with a special focus on the Heckman model. We explain the challenges of applying a standard selection model in the panel data framework, especial作者: Optimum 時間: 2025-3-27 11:47
The CONVERGENCE Security Infrastructure,amic in nature, and, as a major advantage, panel data allow modeling the evolution of economic phenomena at the microeconomic level. Operationally, this is accomplished by including the lag(s) of the dependent variable on the right-hand side of the estimated equation. As a result, ordinary least squ作者: NIB 時間: 2025-3-27 13:38
CONVERGENCE Architecture a Concise Overview,ross-sectional data. In recent years, a great deal of theoretical effort has been made to deal with data from spatial observations that are repeated throughout time, named panel data models. These models take advantage of the more information available, which helps to fix some selection problems exi作者: 卡死偷電 時間: 2025-3-27 18:50 作者: Diaphragm 時間: 2025-3-28 00:12
Géry Ducatel,Andreas Nürnbergerf the slope parameters. Threshold regression model was extended for panel data first by (Hansen, J Econ 93:345–368, 1999) in estimating firms’ investment function under financial constraints. (Hansen, J Econ 93:345–368, 1999) model is fixed effect static model which requires covariates to be strongl作者: minion 時間: 2025-3-28 05:20 作者: 咯咯笑 時間: 2025-3-28 07:45 作者: 毀壞 時間: 2025-3-28 10:41
Applied Econometric Analysis Using Cross Section and Panel Data作者: 反省 時間: 2025-3-28 18:37 作者: needle 時間: 2025-3-28 22:32 作者: CALL 時間: 2025-3-28 23:18
L. Bornatici,C. Ciaponi,S. Papiri analysis finds the drivers of nutritional status to vary at various points of the nutritional demand highlighting heterogeneity in drivers of nutritional demand by nutritional status of households. Furthermore, to highlight the importance of a distributional analysis, we decompose the calorie consu作者: Lipohypertrophy 時間: 2025-3-29 04:32 作者: carotenoids 時間: 2025-3-29 09:55
https://doi.org/10.1007/978-3-030-88292-1he implicit bias in the price index based on estimated Engel curves of households headed by the elderly vis-à-vis the non-elderly; for the same consumption group, the semiparametric estimators adopted for this exercise indicated that price indices overestimate the annual rate of increase in the cost作者: Invertebrate 時間: 2025-3-29 13:39
Video Games as Modern Multimodal Products,thods will lead to an inconsistent estimator; hence needs to be taken care of with special attention. SEM, on the other hand, is applicable whenever the error term of the linear regression equation is spatially autocorrelated. If the error term exhibits such a pattern, then ignoring it would lead to作者: 描繪 時間: 2025-3-29 18:23 作者: ANTIC 時間: 2025-3-29 20:33
Giovanni Maciocco,Silvia Serreliehaviors during and after public intervention. This study uses two-period data for participants in the Environmental Program for El Salvador, during and after the intervention. To model dynamics between multiple adoption decisions—which differ across two periods and four viable practices—eight Tobit作者: AMBI 時間: 2025-3-30 01:36
Places for Leisure: Places for Cityups, including the calculation of the sample size, propensity score matching methods to define the final evaluation sample, and ways to handle potential selection bias in panel data using difference-in-difference techniques. The chapter also shows implementation of these techniques in Stata software作者: Reverie 時間: 2025-3-30 04:49
Urban and Landscape Perspectives bias. The findings indicate that policy interventions in terms of compensation payments are required to encourage the uptake of wetland restoration BMP in Alberta and Saskatchewan. SP auctions could be employed as a valid and cheaper cost discovery tool compared to reverse auctions for facilitating作者: anesthesia 時間: 2025-3-30 11:18 作者: animated 時間: 2025-3-30 13:19
CONVERGENCE Architecture a Concise Overview,egressors other than the spatial or time lag in the dependent variable This chapter presents a new method to estimate this kind of model, called Spatial Dynamic Limited Information Maximum Likelihood (SDLIML), when some exploratory variables are endogenous. A Monte Carlo simulation shows that this e作者: 綁架 時間: 2025-3-30 16:41
https://doi.org/10.1007/978-3-319-95013-6terogeneous and asymmetric effect in modeling the long panel data. The chapter will then demonstrate the application using country-level data from Southeast and South Asia. ARDL and NARDL models are estimated using EViews and Stata to examine how the global commodity prices and each sub-agriculture 作者: choroid 時間: 2025-3-30 23:02 作者: recession 時間: 2025-3-31 04:27 作者: magnanimity 時間: 2025-3-31 06:00
Count Data Regression: Modeling Diversification in Sports Participation in Spainndard versions used in the microeconometric literature (Poisson and Negative Binomial models) and extending these basic models by considering different specifications in terms of how the zeros are generated. Finally, specific attention is devoted to the interpretation of the estimated coefficients a作者: Arable 時間: 2025-3-31 09:49
Binary and Ordinal Probit Regression: Applications to Public Opinion on Marijuana Legalization in thFollowing the theoretical overview, we utilize the binary and ordinal models to analyze public opinion on marijuana legalization and the extent of legalization in the United States. All computations are done in MATLAB. We obtain several interesting results including that past use of marijuana, belie作者: 鋪子 時間: 2025-3-31 17:24 作者: 蠟燭 時間: 2025-3-31 17:55
