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2013

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Institution
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Articles 121 - 129 of 129

Full-Text Articles in Econometrics

Recalibrational Emotions And The Regulation Of Trust-Based Behaviors, Eric Schniter, Timothy W. Shields Jan 2013

Recalibrational Emotions And The Regulation Of Trust-Based Behaviors, Eric Schniter, Timothy W. Shields

ESI Working Papers

Though individuals differ in the degree to which they are predisposed to trust or act trustworthy, we theorize that trust-based behaviors are universally determined by the calibration of conflicting short- and long-sighted behavior regulation programs, and that these programs are calibrated by emotions experienced personally and interpersonally. In this chapter we review both the main-stream and evolutionary theories of emotions that philosophers, psychologists, and behavioral economists have based their work on and which can inform our understanding of trust-based behavior regulation. The standard paradigm for understanding emotions is based on mapping their positive and negative affect valence. While Valence Models …

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Religious Identity And The Provision Of Public Goods: Evidence From The Indian Princely States, Latika Chaudhary, Jared Rubin Jan 2013

Religious Identity And The Provision Of Public Goods: Evidence From The Indian Princely States, Latika Chaudhary, Jared Rubin

ESI Working Papers

Religious identity affects preferences and can consequently affect policy. We propose two mechanisms through which a ruler's religious identity can affect public good provision: i) greater provision of goods in regions where more subjects are the ruler's co-religionists, and ii) lower provision of goods where private markets provide a substitute to the ruler's co-religionists. Empirically, identifying the causal effect of religious identity on policy is often impossible, since the religious identity of rulers rarely changes over time and place. We address this problem by exploiting the variation in the religion of rulers in the Indian Princely States in the early …

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Commitment Problems In Conflict Resolution, Erik O. Kimbrough, Jared Rubin, Roman M. Sheremeta, Timothy W. Shields Jan 2013

Commitment Problems In Conflict Resolution, Erik O. Kimbrough, Jared Rubin, Roman M. Sheremeta, Timothy W. Shields

ESI Working Papers

Commitment problems are inherent to non-binding conflict resolution mechanisms, since an unsatisfied party can ignore the resolution and initiate conflict. We provide experimental evidence suggesting that even in the absence of binding contractual agreements individuals often avoid conflict by committing to the outcome of a conflict resolution mechanism. Commitment problems are mitigated to a greater extent for groups who opt-in to the conflict resolution mechanism, but only when opting-in is costly. Although conflict rates are higher when opting-in is costly than when it is free or exogenously imposed, commitment problems are greatly reduced amongst those groups who choose to opt-in.

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Prediction Markets In The Laboratory, Cary Deck, David Porter Jan 2013

Prediction Markets In The Laboratory, Cary Deck, David Porter

ESI Working Papers

"The idea that there is wisdom from the collective has been forcefully described in “The Wisdom of the Crowds” by James Surowiecki, who argues that the aggregation of information in groups results in better decisions than those that are afforded by any single member of the group. Markets, like opinion polls, are one mechanism for aggregating disparate pieces of information. The aggregation properties of prices were first noted by Hayek (1945) and were formally examined by Muth (1961). In particular, Hayek argues that market prices serve the purpose of sharing and coordinating local and personal knowledge, while Muth shows that …

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The Impact Of Competition On Prices With Numerous Firms, Xavier Gabaix, David Laibson, Deyuan Li, Hongyi Li Jan 2013

The Impact Of Competition On Prices With Numerous Firms, Xavier Gabaix, David Laibson, Deyuan Li, Hongyi Li

ESI Working Papers

We use extreme value theory (EVT) to develop insights about price theory. Our analysis reveals detail-independent equilibrium properties that characterize a large family of models. We derive a formula relating equilibrium prices to the level of competition. When the number of rms is large, markups are proportional to 1= (nF' [F^-1 (1- 1/n)], where F is the random utility noise distribution and n is the number of rms. This implies prices are pinned down by the tail properties of the noise distribution and that prices are independent of many other institutional details. The elasticity of the markup with respect to …

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Qml Estimation Of Dynamic Panel Data Models With Spatial Errors, Liangjun Su, Zhenlin Yang Jan 2013

Qml Estimation Of Dynamic Panel Data Models With Spatial Errors, Liangjun Su, Zhenlin Yang

Research Collection School Of Economics

We propose quasi maximum likelihood (QML) estimation of dynamic panel models with spatial errors when the cross-sectional dimension n is large and the time dimension T is fixed. We consider both the random effects and fixed effects models and derive the limiting distributions of the QML estimators under different assumptions on the initial observations. We propose a residual-based bootstrap method for estimating the standard errors of the QML estimators. Monte Carlo simulation shows that both the QML estimators and the bootstrap standard errors perform well in finite samples under a correct assumption on initial observations, but may perform poorly when …

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Nonparametric Dynamic Panel Data Models: Kernel Estimation And Specification Testing, Liangjun Su, Xun Lu Jan 2013

Nonparametric Dynamic Panel Data Models: Kernel Estimation And Specification Testing, Liangjun Su, Xun Lu

Research Collection School Of Economics

Motivated by the first differencing method for linear panel data models, we propose a class of iterative local polynomial estimators for nonparametric dynamic panel data models with or without exogeous regressors. The estimators utilize the additive structure of the first-differenced model, the fact that the two additive components have the same functional form, and the unknown function of interest is implicitly defined as a solution of a Fredholm integral equation of the second kind. We establish the uniform consistency and asymptotic normality of the estimators. We also propose a consistent test for the correct specification of linearity in typical dynamic …

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Variable Selection In Nonparametric And Semiparametric Regression Models, Liangjun Su, Yonghui Zhang Jan 2013

Variable Selection In Nonparametric And Semiparametric Regression Models, Liangjun Su, Yonghui Zhang

Research Collection School Of Economics

This chapter reviews the literature on variable selection in nonparametric and semiparametric regression models via shrinkage. We highlight recent developments on simultaneous variable selection and estimation through the methods of least absolute shrinkage and selection operator (Lasso), smoothly clipped absolute deviation (SCAD) or their variants, but restrict our attention to nonparametric and semiparametric regression models. In particular, we consider variable selection in additive models, partially linear models, functional/varying coefficient models, single index models, general nonparametric regression models, and semiparametric/nonparametric quantile regression models.

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Non-Normality And Heteroscedasticity Robust Lm Tests Of Spatial Dependence, Badi H. Baltagi, Zhenlin Yang Jan 2013

Non-Normality And Heteroscedasticity Robust Lm Tests Of Spatial Dependence, Badi H. Baltagi, Zhenlin Yang

Research Collection School Of Economics

The standard LM tests for spatial dependence in linear and panel regressions are derived under the normality and homoskedasticity assumptions of the regression disturbances. Hence, they may not be robust against non-normality or heteroskedasticity of the disturbances. Following Born and Breitung (2011), we introduce general methods to modify the standard LM tests so that they become robust against heteroskedasticity and non-normality. The idea behind the robustification is to decompose the concentrated score function into a sum of uncorrelated terms so that the outer product of gradient (OPG) can be used to estimate its variance. We also provide methods for improving …

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