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Articles 1 - 19 of 19
Full-Text Articles in Social and Behavioral Sciences
Nonparametric Kernel Regression With Multiple Predictors And Multiple Shape Constraints, Pang Du, Christopher Parmeter, Jeffrey Racine
Nonparametric Kernel Regression With Multiple Predictors And Multiple Shape Constraints, Pang Du, Christopher Parmeter, Jeffrey Racine
Christopher F. Parmeter
No abstract provided.
What Can We Learn From Benefit Transfer Errors? Evidence From 20 Years Of Research On Convergent Validity, Sapna Kaul, Kevin Boyle, Nicolai Kuminoff, Christopher Parmeter, Jaren Pope
What Can We Learn From Benefit Transfer Errors? Evidence From 20 Years Of Research On Convergent Validity, Sapna Kaul, Kevin Boyle, Nicolai Kuminoff, Christopher Parmeter, Jaren Pope
Christopher F. Parmeter
No abstract provided.
Data-Driven Model Evaluation: A Test For Revealed Performance, Jeffrey Racine, Christopher Parmeter
Data-Driven Model Evaluation: A Test For Revealed Performance, Jeffrey Racine, Christopher Parmeter
Christopher F. Parmeter
No abstract provided.
Regression And Inference Under Smoothness Restrictions, Christopher Parmeter, Kai Sun, Daniel Henderson, Subal Kumbhakar
Regression And Inference Under Smoothness Restrictions, Christopher Parmeter, Kai Sun, Daniel Henderson, Subal Kumbhakar
Christopher F. Parmeter
No abstract provided.
Does Education Matter For Economic Growth?, Michael Delgado, Daniel J. Henderson, Christopher Parmeter
Does Education Matter For Economic Growth?, Michael Delgado, Daniel J. Henderson, Christopher Parmeter
Christopher F. Parmeter
Empirical economic research typically uses education as a proxy for human capital. However, research aimed at validating the inclusion of education measures in growth regressions has yet to reach a consensus, often finding that the sign and significance of education depends on the sample of observations or the specification of the model. The goal of this paper is to reconcile the conflicting empirical evidence and validate (or invalidate) the inclusion of education in international growth regressions by providing a rigorous and systematic search for significance of education. Using methods which are largely immune to model misspecification, we examine six of …
A Simple Method To Visualize Results In Nonlinear Regression Models, Daniel Henderson, Subal Kumbhakar, Christopher Parmeter
A Simple Method To Visualize Results In Nonlinear Regression Models, Daniel Henderson, Subal Kumbhakar, Christopher Parmeter
Christopher F. Parmeter
No abstract provided.
Normal Reference Bandwidths For The General Order, Multivariate Kernel Density Derivative Estimator, Christopher Parmeter, Daniel Hendseron
Normal Reference Bandwidths For The General Order, Multivariate Kernel Density Derivative Estimator, Christopher Parmeter, Daniel Hendseron
Christopher F. Parmeter
No abstract provided.
Smooth Coefficient Estimation Of A Seemingly Unrelated Regression, Daniel Henderson, Subal Kumbhakar, Qi Li, Christopher Parmeter
Smooth Coefficient Estimation Of A Seemingly Unrelated Regression, Daniel Henderson, Subal Kumbhakar, Qi Li, Christopher Parmeter
Christopher F. Parmeter
No abstract provided.
Empirical Implementation Of Nonparametric First-Price Auction Models, Daniel Henderson, John List, Daniel Millimet, Christopher Parmeter, Michael Price
Empirical Implementation Of Nonparametric First-Price Auction Models, Daniel Henderson, John List, Daniel Millimet, Christopher Parmeter, Michael Price
Christopher F. Parmeter
Although these estimators are popular in the literature, many key features necessary for proper implementation have yet to be uncovered. Here we provide several suggestions for nonparametric estimation of first-price auction models. Specifically, we show how to impose monotonicity of the equilibrium bidding strategy; a key property of structural auction models not guaranteed in standard nonparametric estimation. We further develop methods for automatic bandwidth selection. Finally, we discuss how to impose monotonicity in auctions with differing numbers of bidders, reserve prices, and auction-specific characteristics. Finite sample performance is examined using simulated data as well as experimental auction data.
Canonical Higher-Order Kernels For Density Derivative Estimation, Daniel J. Henderson, Christopher Parmeter
Canonical Higher-Order Kernels For Density Derivative Estimation, Daniel J. Henderson, Christopher Parmeter
Christopher F. Parmeter
In this note we present rth-order kernel density derivative estimators using canonical higher-order kernels. These canonical rescalings uncouple the choice of kernel and scale factor. This approach is useful for selection of the order of the kernel in a data-driven procedure as well as for visual comparison of kernel estimates.
Economies Of Scope Of Lending And Mobilizing Deposits In Microfinance Institutions: A Semiparametric Analysis, Valentina Hartarska, Christopher Parmeter, Denis Nadolynak
Economies Of Scope Of Lending And Mobilizing Deposits In Microfinance Institutions: A Semiparametric Analysis, Valentina Hartarska, Christopher Parmeter, Denis Nadolynak
Christopher F. Parmeter
No abstract provided.
Economies Of Scope For Microfinance: Differences Across Output Measures, Valentina Hartarska, Christopher Parmeter, Denis Nadolynak, Beibei Zhu
Economies Of Scope For Microfinance: Differences Across Output Measures, Valentina Hartarska, Christopher Parmeter, Denis Nadolynak, Beibei Zhu
Christopher F. Parmeter
In banking, scope economies of mobilizing deposits and lending are often estimated, while consideration of the same measures for microfinance institutions (MFI) is still in its infancy. An open issue remains regarding what characterizes an output of an MFI. Moreover, depending on the output used, do estimated scope economies differ? We use a novel data set for over 800 MFI across more than 70 countries to estimate economies of scope. Our findings suggest that statistical differences arise between estimates of scope economies. However, our qualitative findings indicate that both of these measures provide similar overviews of the landscape of scope …
Market Power, Eu Integration And Privatization: The Case Of Romania, Gabriel Asaftei, Christopher Parmeter
Market Power, Eu Integration And Privatization: The Case Of Romania, Gabriel Asaftei, Christopher Parmeter
Christopher F. Parmeter
This paper investigates the effects on pricing behavior of firms in a transition economy resulting from integration into the European Union’s Common Market and changes in ownership. We use a semiparametric model with a rich panel of manufacturing firms in Romania from 1995 to 2003 to estimate firm-level markups. We find that markups are higher in more concentrated industries and less exposed to foreign competition. Trade integration appears to generally increase competitive pressure on markups. Industries exposed to more international competition experience a larger change in markups following integration into the European Union’s Common Market. However, as the initial impact …
Cross-Validated Bandwidths And Significance Testing, Christopher Parmeter, Zhiyuan Zheng, Patrick Mccann
Cross-Validated Bandwidths And Significance Testing, Christopher Parmeter, Zhiyuan Zheng, Patrick Mccann
Christopher F. Parmeter
The link between the magnitude of a bandwidth and the relevance of the corresponding covariate in a regression has recently garnered theoretical attention. Theory suggests that variables included erroneously in a regression will be automatically removed when bandwidths are selected via cross-validation procedure. However, the connections between the bandwidths of the variables that are smoothed away and the insights from these same variables when properly tested for statistical significance have not been previously studied. This paper proposes a variety of simulation exercises to examine the relative performance of both cross-validated bandwidths and individual and joint tests of significance. We focus …
Imposing Economic Constraints On Nonparametric Regression: Survey, Implementation And Extensions, Daniel Henderson, Christopher Parmeter
Imposing Economic Constraints On Nonparametric Regression: Survey, Implementation And Extensions, Daniel Henderson, Christopher Parmeter
Christopher F. Parmeter
Economic conditions such as convexity, homogeneity, homotheticity, and monotonicity are all important assumptions or consequences of assumptions of economic functionals to be estimated. Recent research has seen a renewed interest in imposing constraints in nonparametric regression. We survey the available methods in the literature, discuss the challenges that present themselves when empirically implementing these methods, and extend an existing method to handle general nonlinear constraints. A heuristic discussion on the empirical implementation for methods that use sequential quadratic programming is provided for the reader, and simulated and empirical evidence on the distinction between constrained and unconstrained nonparametric regression surfaces is …
Modes, Weighted Modes, And Calibrated Modes: Evidence Of Clustering Using Modality Tests, Daniel Henderson, Christopher Parmeter, R. Russell
Modes, Weighted Modes, And Calibrated Modes: Evidence Of Clustering Using Modality Tests, Daniel Henderson, Christopher Parmeter, R. Russell
Christopher F. Parmeter
We apply recent results from the statistics literature to test for multimodality of worldwide distributions of several (unweighted and population-weighted) measures of labor productivity. Specifically, we employ Silverman (Bump) and Dip modality tests, calibrated to correct for their incorrect asymptotic levels. We show that test results are sensitive to the test statistic employed and to population weighting. But regardless of the statistical criterion used, multimodality is present throughout, or emerges during, our sample period (1960–2000). We also examine (a) movements of economies between modal clusters and (b) relationships between certain key development factors and multimodality of the productivity distribution.
Fertility And The Health Of Children: An Application Of A Nonparametric Conditional Late Estimator, Daniel Henderson, Daniel Millimet, Christopher Parmeter, Le Wang
Fertility And The Health Of Children: An Application Of A Nonparametric Conditional Late Estimator, Daniel Henderson, Daniel Millimet, Christopher Parmeter, Le Wang
Christopher F. Parmeter
Although the theoretical trade-off between the quantity and quality of children is well established, empirical evidence supporting such a causal relationship is limited. This chapter applies a recently developed nonparametric estimator of the conditional local average treatment effect to assess the sensitivity of the quantity-quality trade-off to functional form and parametric assumptions. Using data from the Indonesia Family Life Survey and controlling for potential endogeneity of fertility, we find mixed evidence supporting the trade-off.
The Effect Of Measurement Error On The Shape Of The World Distribution Of Income, Christopher Parmeter
The Effect Of Measurement Error On The Shape Of The World Distribution Of Income, Christopher Parmeter
Christopher F. Parmeter
This note examines the robustness that two modes exist in the world's density of per capita income. Our results suggest that this bimodal feature is robust and are arrived at using recently developed nonparametric deconvolution techniques.
Nonparametric Estimation Of A Hedonic Price Function, Christopher Parmeter, Daniel Hnederson
Nonparametric Estimation Of A Hedonic Price Function, Christopher Parmeter, Daniel Hnederson
Christopher F. Parmeter
Rosen’s (1974) theory of hedonic prices is implemented econometrically using recently developed nonparametric techniques to examine the influence of qualitative factors on the price of a house. Our ability to smooth categorical variables leads to greater generalization in the valuation process and provides a canvas for interactions between categorical and continuous variables that is difficult to exploit in parametric and semiparametric models. This is illustrated with a replication of a previously used partially linear model specification.