Measuring the Sensitivity of the Federal Income Tax from Cross-Section Data: A New Approach

1969 ◽  
Vol 51 (2) ◽  
pp. 206 ◽  
Author(s):  
Vito Tanzi
Keyword(s):  
Cross Section ◽  
Income Tax ◽  
Cross Section Data ◽  
New Approach ◽  
Section Data ◽  
Federal Income Tax

Vehicle-Type and Lane–Specific Free Speed Distributions on Motorways

2005 ◽  
Vol 1934 (1) ◽  
pp. 148-156 ◽  
Author(s):  
Serge P. Hoogendoorn
Keyword(s):  
Cross Section ◽  
Censored Data ◽  
Cross Section Data ◽  
New Approach ◽  
Section Data ◽  
Vehicle Type ◽  
Robust Estimates ◽  
Original Distribution ◽  
Structural Error ◽  
Censored Observations

A new approach to estimation of vehicle type–specific free speed distributions on multilane facilities is presented on the basis of the concept of censored observations. The original distribution-free method of Kaplan and Meier is generalized to include partially censored data, i.e., observations that are censored with a certain probability or to a certain degree. The method is applied with cross-section data collected at a busy two-lane motorway in the Netherlands. The results provide robust estimates of the speed distributions for different vehicle classes, while they remove the structural error made when more common approaches are applied.

Pooling of Time Series and Cross Section Data

Econometrica ◽  
1969 ◽  
Vol 37 (3) ◽  
pp. 552
Author(s):  
V. K. Chetty
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Cross Section Data ◽  
Section Data

Applications of cross section data for nuclear geochemical well logging

1986 ◽  
Vol 94 (1-4) ◽  
pp. 49-52 ◽  
Author(s):  
R. C. Hertzog ◽  
P. D. Soran ◽  
J. S. Schweitzer
Keyword(s):  
Cross Section ◽  
Well Logging ◽  
Cross Section Data ◽  
Section Data ◽  
Geochemical Well Logging

An Am/Be neutron source and its use in integral tests of differential neutron reaction cross-section data

2010 ◽  
Vol 68 (9) ◽  
pp. 1656-1661 ◽  
Author(s):  
M.S. Uddin ◽  
M.R. Zaman ◽  
S.M. Hossain ◽  
I. Spahn ◽  
S. Sudár ◽  
...  
Keyword(s):  
Cross Section ◽  
Neutron Source ◽  
Reaction Cross Section ◽  
Reaction Cross ◽  
Cross Section Data ◽  
Section Data ◽  
Neutron Reaction

scholarly journals Unions and Productivity in the Public Sector: A Study of Municipal Libraries

ILR Review ◽  
1983 ◽  
Vol 36 (2) ◽  
pp. 199-213 ◽  
Author(s):  
Ronald G. Ehrenberg ◽  
Daniel R. Sherman ◽  
Joshua L. Schwarz
Keyword(s):  
Public Sector ◽  
Collective Bargaining ◽  
Empirical Analysis ◽  
Cross Section ◽  
Cross Section Data ◽  
The Public ◽  
Section Data ◽  
The Empirical Analysis

This paper develops and illustrates the use of two methodologies to analyze the effect of unions on productivity in the public sector. Although the methodologies are applicable to a wide variety of public sector functions, the focus of the paper is on municipal libraries because of the availability of relevant data. The empirical analysis, which uses 1977 cross-section data on 260 libraries, suggests that collective bargaining coverage has not significantly affected productivity in municipal libraries.

scholarly journals Testing for Unit Roots and Cointegration in Spatial Cross-Section Data

2012 ◽  
Vol 7 (2) ◽  
pp. 203-222 ◽  
Author(s):  
Michael Beenstock ◽  
Dan Feldman ◽  
Daniel Felsenstein
Keyword(s):  
Cross Section ◽  
Unit Roots ◽  
Cross Section Data ◽  
Section Data

Time is Not A Theoretical Variable

2010 ◽  
Vol 18 (3) ◽  
pp. 293-294 ◽  
Author(s):  
Nathaniel Beck
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Duration Dependence ◽  
Cross Section Data ◽  
Section Data ◽  
Data Analyst ◽  
Binary Time Series ◽  
Simple Cubic ◽  
Cubic Polynomial

Carter and Signorino (2010) (hereinafter “CS”) add another arrow, a simple cubic polynomial in time, to the quiver of the binary time series—cross-section data analyst; it is always good to have more arrows in one's quiver. Since comments are meant to be brief, I will discuss here only two important issues where I disagree: are cubic duration polynomials the best way to model duration dependence and whether we can substantively interpret duration dependence.

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