scholarly journals The Determinants of the Value of Mahr in Muslim Societies: Evidence from the Indonesian Family Life Surveys

2021 ◽  
Vol 22 (2) ◽  
pp. 323-338
Author(s):  
Dian Friantoro ◽  
Akhmad Akbar Susamto
Keyword(s):  
Socioeconomic Status ◽  
Cross Section ◽  
Family Life ◽  
Perceived Risk ◽  
Ordinary Least Squares ◽  
Education Level ◽  
The Other ◽  
Cross Section Data ◽  
Full Sample ◽  
Section Data

This paper aims to analyze the factors that determine the value of mahr in Muslim societies. The analysis is based on an ordinary least squares (OLS) regression with pooled cross-section data from the last three waves of the Indonesian Family Life Surveys (IFLS). The main finding is that socioeconomic status in the forms of groom’s ownership of assets and education level matters most for the value of mahr. This finding holds for regression with full sample as well as subsamples, i.e. couples whose groom is Javanese, couples whose groom is non-Javanese, couples whose bride is Javanese and couples whose bride is non-Javanese. Socioeconomic status in the form of bride’s education level also matters for the value of mahr with some exceptions. The other finding is that perceived risk of divorce as represented by differences in the socioeconomic status of a marrying couple do not have a significant effect on the value of mahr. The effect of physical appearances in the form of bride’s height is at best not robust and subject to the sample or subsample included. These findings can be useful as a reference to make marriage decisions in the future or to evaluate the ongoing practices for possible reforms.

scholarly journals Interregional Inequality, Decentralization, and Corruption in Indonesia

2009 ◽  
Vol 9 (2) ◽  
pp. 97-107
Author(s):  
I Wayan Sukadana
Keyword(s):  
Cross Section ◽  
The Other ◽  
Economic Variable ◽  
Investment Climate ◽  
Cross Section Data ◽  
Strong Assumption ◽  
Section Data ◽  
Interregional Inequality ◽  
Investment Level ◽  
Corruption Index

Decentralization has been implemented for eight years. However, corruption has not been lessened yet within the decentralization era. Bad regulations and investment climate are suspected to be a cause of the situations. Good regulation and investment climate appear if the interjurisdictional competitions exist. The incentive for competition is the equality of economic endowment among regions, or each region has their own tradeable ”technology” that comparable to others. Inequality in ”technology“ implies that the region with rich ”technology” is more attractive eventhough there are bad regulation and the investment climate. In contrary, in region with less "technology", corruption will appear because of weak control of the society to the bureaucracy. The strong assumption of this paper is short memories of voters. This paper attempts to estimate and to model the relation between economic variable and corruption. The estimation uses the cross section data among kabupaten/kota in Indonesia in 2004. The estimation shows that economic endowment variable positively and significant correlated to the investment level. On the other hand, the effect of corruption is statistically insignificant in explaining the investment level. The subsequent part of this paper attempts to estimate and to model how the heterogeneity or inequality in ”technology” affects the existence of corruption in Indonesia. The OLS regression of heterogeneity of domestic product (PDRB) against corruption index shows that the heterogeneity positively correlated with corruption level.

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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