ERN: Other Econometrics: Multiple Equation Models (Topic)最新文献

Reexamining the Evidence on Gun Ownership and Homicide Using Proxy Measures of Ownership 用枪支所有权的代理衡量方法重新审视枪支持有与杀人的证据

ERN: Other Econometrics: Multiple Equation Models (Topic) Pub Date : 2021-04-14 DOI: 10.2139/ssrn.3694050

Karim Chalak, Daniel Kim, Megan Miller, J. Pepper

{"title":"Reexamining the Evidence on Gun Ownership and Homicide Using Proxy Measures of Ownership","authors":"Karim Chalak, Daniel Kim, Megan Miller, J. Pepper","doi":"10.2139/ssrn.3694050","DOIUrl":"https://doi.org/10.2139/ssrn.3694050","url":null,"abstract":"Limited by the lack of data on gun ownership in the United States, ecological research linking firearms ownership rates to homicide often relies on proxy measures of ownership. Although the variable of interest is the gun ownership rate, not the proxy, the existing research does not formally account for the fact that the proxy is an error-ridden measure of the ownership rate. In this paper, we reexamine the ecological association between state-level gun ownership rates and homicide explicitly accounting for the measurement error in the proxy measure of ownership. To do this, we apply the results in Chalak and Kim (2020) to provide informative bounds on the mean association between rates of homicide and firearms ownership. In this setting, the estimated lower bound on the magnitude of the association corresponds to the conventional linear regression model estimate whereas the upper bound depends on prior information about the measurement error process. Our preferred model yields an upper bound on the gun homicide elasticity that is nearly three times larger than the fixed effects regression estimates that do not account for measurement error. Moreover, we consider two point-identified models that rely on earlier validation studies and on instrumental variables respectively, and find that the gun homicide elasticity equals this upper bound. Thus, our results suggest that the association between gun homicide and ownership rates is substantially larger than found in the earlier literature.","PeriodicalId":346205,"journal":{"name":"ERN: Other Econometrics: Multiple Equation Models (Topic)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126233344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

What Everyone Should Know: About Univariate Normality and Bivariate Normality, and How They are Co-Related with Correlation and Independence 每个人都应该知道:关于单变量正态性和双变量正态性，以及它们是如何与相关性和独立性相关的

ERN: Other Econometrics: Multiple Equation Models (Topic) Pub Date : 2020-07-28 DOI: 10.2139/ssrn.3292639

T. Crack

引用次数: 0

Estimating the Competitive Storage Model with Stochastic Trends in Commodity Prices 商品价格随机趋势下的竞争存储模型估计

ERN: Other Econometrics: Multiple Equation Models (Topic) Pub Date : 2020-01-12 DOI: 10.2139/ssrn.3518402

Kjartan Kloster Osmundsen, T. S. Kleppe, R. Liesenfeld, Atle Oglend

引用次数: 3

A Progress Report on Marxian Economic Theory: On the Controversies in Exploitation Theory Since Okishio (1963) 马克思主义经济理论进展报告——论冈尾(1963)以来剥削理论的争论

ERN: Other Econometrics: Multiple Equation Models (Topic) Pub Date : 2017-12-01 DOI: 10.1111/joes.12253

N. Yoshihara

引用次数: 13

South–South and North–South Economic Exchanges: Does it Matter Who is Exchanging What and with Whom? 南南和南北经济交流:谁在交换什么、与谁交换重要吗?

ERN: Other Econometrics: Multiple Equation Models (Topic) Pub Date : 2017-12-01 DOI: 10.1111/joes.12225

Omar S. Dahi, Firat Demir

{"title":"South–South and North–South Economic Exchanges: Does it Matter Who is Exchanging What and with Whom?","authors":"Omar S. Dahi, Firat Demir","doi":"10.1111/joes.12225","DOIUrl":"https://doi.org/10.1111/joes.12225","url":null,"abstract":"This paper surveys the literature on costs and benefits of Southâ€“South versus Northâ€“South economic exchanges. Unlike the case for Northâ€“South exchanges, academic work on Southâ€“South economic relations has been historically limited given their marginal importance in the global economy. After the 1990s, the literature has changed in two main ways. First, Southâ€“South trade and finance since then has increased dramatically, leading to a bourgeoning literature on the topic. Second, the rise of the Emerging South has opened up new lines of inquiry to include not just the traditional topics of trade and preferential trading agreements, but also cover technology transfer, capital flows, labor migration, institutions, and environment. We discuss how this literature has evolved to take into account the greater complexity of Southâ€“South relations with a focus on China in Africa as well as the blurring of the lines between heterodox and mainstream analysis of Southâ€“South relations. We end the review by showing how the empirical and theoretical literature is exploring the increasing divergence within the global South between what we refer to as the Emerging South and the Rest of South.","PeriodicalId":346205,"journal":{"name":"ERN: Other Econometrics: Multiple Equation Models (Topic)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129181779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

The Agent‐Based Approach to Post Keynesian Macro‐Modeling 基于主体的后凯恩斯宏观建模方法

ERN: Other Econometrics: Multiple Equation Models (Topic) Pub Date : 2017-12-01 DOI: 10.1111/joes.12244

C. Di Guilmi

引用次数: 8

Kernel-Based Inference in Time-Varying Coefficient Cointegrating Regression 时变系数协整回归的核推理

ERN: Other Econometrics: Multiple Equation Models (Topic) Pub Date : 2017-08-24 DOI: 10.2139/ssrn.3004232

Degui Li, P. Phillips, Jiti Gao

{"title":"Kernel-Based Inference in Time-Varying Coefficient Cointegrating Regression","authors":"Degui Li, P. Phillips, Jiti Gao","doi":"10.2139/ssrn.3004232","DOIUrl":"https://doi.org/10.2139/ssrn.3004232","url":null,"abstract":"Abstract This paper studies nonlinear cointegrating models with time-varying coefficients and multiple nonstationary regressors using classic kernel smoothing methods to estimate the coefficient functions. Extending earlier work on nonstationary kernel regression to take account of practical features of the data, we allow the regressors to be cointegrated and to embody a mixture of stochastic and deterministic trends, complications which result in asymptotic degeneracy of the kernel-weighted signal matrix. To address these complications new local and global rotation techniques are introduced to transform the covariate space to accommodate multiple scenarios of induced degeneracy. Under regularity conditions we derive asymptotic results that differ substantially from existing kernel regression asymptotics, leading to new limit theory under multiple convergence rates. For the practically important case of endogenous nonstationary regressors we propose a fully-modified kernel estimator whose limit distribution theory corresponds to the prototypical pure cointegration case (i.e., with exogenous covariates), thereby facilitating inference using a generalized Wald-type test statistic. These results substantially generalize econometric estimation and testing techniques in the cointegration literature to accommodate time variation and complications of co-moving regressors. Finally, Monte-Carlo simulation studies as well as an empirical illustration to aggregate US data on consumption, income, and interest rates are provided to illustrate the methodology and evaluate the numerical performance of the proposed methods in finite samples.","PeriodicalId":346205,"journal":{"name":"ERN: Other Econometrics: Multiple Equation Models (Topic)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130967457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Multiple Regression and Marketing-Mix Models 多元回归和营销组合模型

ERN: Other Econometrics: Multiple Equation Models (Topic) Pub Date : 2017-05-30 DOI: 10.2139/ssrn.2974720

R. Venkatesan, Shea Gibbs

{"title":"Multiple Regression and Marketing-Mix Models","authors":"R. Venkatesan, Shea Gibbs","doi":"10.2139/ssrn.2974720","DOIUrl":"https://doi.org/10.2139/ssrn.2974720","url":null,"abstract":"In this technical note, the concept of regression using a single independent variable is first introduced and then some of the practical challenges associated with it, including multiple independent variables in a regression, are discussed. Particular attention is paid to bias in the regression coefficients in the presence of omitted variables. The concept of the economic significance of a model is introduced and is contrasted with statistical significance. At Darden, this note is used in the course elective \"Big Data in Marketing.\" \u0000Excerpt \u0000UVA-M-0855 \u0000Rev. Jun. 20, 2014 \u0000Multiple Regression In Marketing-Mix Models \u0000The movie Moneyball has a lot to teach us about optimizing a company's marketing mix. In the movie, the management of the Oakland Athletics discovers that the baseball team can get ahead by changing its perspective and looking at data differently than its competitors. \u0000The A's know most major-league teams use batting average (hits over real opportunities) as the prevailing metric for determining the worth of a hitter. Traditional baseball wisdom says, “You hit more, you win more.” So the players who have more hits per at bat are generally the most sought after and are paid the most money. But by examining the outcome of decades of baseball games, the A's manager finds a variable he believes to be more predictive of success. It is not only hits that help a baseball team win; walks count too. Getting on base and not making outs is more closely correlated with winning games than hits alone. \u0000The team's management takes the analysis of the data and uses it to buy undervalued players—players who don't necessarily have the highest batting averages but who do have high on-base percentages. For a small-market team such as the A's, which has less money to spend on players than other franchises, this strategy changes the game. \u0000. . .","PeriodicalId":346205,"journal":{"name":"ERN: Other Econometrics: Multiple Equation Models (Topic)","volume":"27 9‐10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120860829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modelling Supply Response and Investment in Agriculture in Developing Countries - A View from the Cloister 发展中国家农业的供给、反应和投资建模——从修道院的角度看

ERN: Other Econometrics: Multiple Equation Models (Topic) Pub Date : 2016-12-28 DOI: 10.2139/ssrn.2890848

L. Pandey

引用次数: 0

Inference in Partially Identified Heteroskedastic Simultaneous Equations Models 部分辨识异方差联立方程模型的推理

ERN: Other Econometrics: Multiple Equation Models (Topic) Pub Date : 2016-12-01 DOI: 10.2139/ssrn.2900111

H. Luetkepohl, George Milunovich, Minxian Yang

引用次数: 4