Panel Attrition from the Panel Study of Income Dynamics: Household Income, Marital Status, and Mortality

1998 ◽  
Vol 33 (2) ◽  
pp. 437 ◽  
Author(s):  
Lee A. Lillard ◽  
Constantijn W. A. Panis
Keyword(s):  
Marital Status ◽  
Household Income ◽  
Panel Study ◽  
Income Dynamics ◽  
Panel Attrition

Labor Supply and Household Dynamics

2014 ◽  
Vol 104 (5) ◽  
pp. 354-359 ◽  
Author(s):  
Maurizio Mazzocco ◽  
Claudia Ruiz ◽  
Shintaro Yamaguchi
Keyword(s):  
Labor Supply ◽  
Marital Status ◽  
Panel Study ◽  
Collective Model ◽  
Income Dynamics ◽  
Collective Models ◽  
Household Dynamics ◽  
Household Decisions ◽  
Individual Welfare ◽  
Over Time

Using the Panel Study of Income Dynamics, we provide evidence that to understand household decisions and evaluate policies designed to affect individual welfare, it is important to add an intertemporal dimension to the by-now standard static collective models of the household. Specifically, we document that the observed differences in labor supply by gender and marital status do not arise suddenly at the time of marriage, but rather emerge gradually over time. We then propose an intertemporal collective model that has the potential of explaining the observed patterns.

Spousal Relative Income and Male Psychological Distress

2019 ◽  
Vol 46 (6) ◽  
pp. 976-992 ◽  
Author(s):  
Joanna Syrda
Keyword(s):  
Psychological Distress ◽  
Household Income ◽  
Panel Study ◽  
Relative Income ◽  
Income Dynamics ◽  
New Approach ◽  
Gender Norm ◽  
Total Household Income ◽  
The Relationship

Using Panel Study of Income Dynamics 2001-2015 dataset (6,035 households, 19,688 observations), this study takes a new approach to investigating the relationship between wife’s relative income and husband’s psychological distress, and finds it to be significantly U-shaped. Controlling for total household income, predicted male psychological distress reaches a minimum at a point where wives make 40% of total household income and proceeds to increase, to reach highest level when men are entirely economically dependent on their wives. These results reflect the stress associated with being the sole breadwinner, and more significantly, with gender norm deviance due to husbands being outearned by their wives. Interestingly, the relationship between wife’s relative income and husband’s psychological distress is not found among couples where wives outearned husbands at the beginning of their marriage pointing to importance of marital selection. Finally, patterns reported by wives are not as pronouncedly U-shaped as those reported by husbands.

scholarly journals Loved and lost or never loved at all? Lifelong marital histories and their links with subjective well-being

2020 ◽  
Author(s):  
Mariah Purol ◽  
Victor N. Keller ◽  
Jeewon Oh ◽  
William J. Chopik ◽  
Richard E. Lucas
Keyword(s):  
Sequence Analysis ◽  
Marital Status ◽  
Panel Study ◽  
Later Life ◽  
Well Being ◽  
Subjective Well Being ◽  
Income Dynamics ◽  
Single Group ◽  
Group 13 ◽  
Sequence Types

Marriage has been linked to higher well-being. However, previous research has generally examined marital status at one point in time or over a relatively short window of time. In order to determine if different marital histories have unique impacts on well-being in later life, we conducted a marital sequence analysis of 7,532 participants from the Panel Study of Income Dynamics (54.2% women; Mage = 66.68, SD = 8.50; 68.7% White/Caucasian). Three different marital sequence types emerged: a “consistently-married” group (79%), a “consistently-single” group (8%), and a “varied histories” group (13%), in which individuals had moved in and out of various relationships throughout life. The consistently-married group was slightly higher in well-being at the end of life than the consistently-single and varied histories groups; the latter two groups did not differ in their well-being. The results are discussed in the context of why marriage is linked to well-being across the lifespan.

Hesitating at the Altar

2017 ◽  
Vol 46 (5) ◽  
pp. 743-763 ◽  
Author(s):  
Nick Frazier ◽  
Margaret McKeehan
Keyword(s):  
Marital Status ◽  
Panel Study ◽  
Income Dynamics ◽  
Percentage Points ◽  
Marriage Tax ◽  
The Us ◽  
Using Data ◽  
Tax Filing

This article provides evidence that the US tax code’s dependence on marital status continues to generate an implicit marriage tax and distort marital decisions. By looking at the timing of marriage rather than the decision to marry, we capture a specific distortion while allowing for heterogeneity in other costs of marriage. Using data on couples from the Panel Study on Income Dynamics between 1986 and 2011, we find that a 1 percent rise in the size of the marriage tax relative to a couple’s income increases the probability of delay by 1.2 percentage points. We further demonstrate the robustness of this result across a variety of alternative specifications and assumptions regarding tax-filing behavior.

scholarly journals The Dwelling Panel – A New Research Method for Studying Urban Change

2015 ◽  
Vol 73 (6) ◽  
pp. 377-388 ◽  
Author(s):  
Jürgen Friedrichs ◽  
Jörg Blasius
Keyword(s):  
Urban Areas ◽  
Panel Study ◽  
Income Dynamics ◽  
Methodological Issues ◽  
Population Changes ◽  
New Members ◽  
Small Areas ◽  
The Us ◽  
Panel Attrition ◽  
New Research

Abstract Classical panel studies, such as the German Socio-Economic Panel (GSOEP), the US Panel Study of Income Dynamics (PSID), and the British Household Panel Study (BHPS), are based either on households or persons in households. Any attempts to break down such data into smaller spatial units such as neighbourhoods, due migration and changes in a specific sample can only be described by the stayers and the out-movers. With the exception of new members in stayer households, there is no information on households moving into a given neighbourhood. Consequently, when using classical panel data, it is not possible to analyse appropriately changes in small areas. In order to solve the problem of population changes in small spatial units such as neighbourhoods, we recommend using an alternative sampling unit: instead of households, we suggest focusing on dwellings and houses. The dwelling panel allows us to examine processes, such as gentrification, poverty and voting behaviour in small urban areas. Drawing on an ongoing study, we shall discuss methodological issues and show how a dwelling panel can be constructed and maintained in several waves. In the process, we shall discuss panel attrition and compare possible replacement strategies in classical panels with those in dwelling panels.

Marriage as a Mechanism of Internalizing Externalities: A Case of Smoking

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jane J. You
Keyword(s):  
Positive Impact ◽  
Panel Study ◽  
Legal Institution ◽  
Income Dynamics ◽  
Negative Externalities ◽  
Long Run ◽  
Married Individuals

Abstract With the view of marriage as a legal institution to internalize externalities, I examine the effect of marriage on smoking. From analyzing the data of Panel Study of Income Dynamics, I found that unmarried individuals are more likely to smoke by 4.9% point than married individuals with stronger impact on females. The long-run impact of marriage also shows that the unmarried individuals smoke more than married individuals but some of its positive impact diminishes within two years. These results on the whole imply that marriage internalizes the negative externalities of smoking and thus leads smokers to reduce smoking.

Using intentions to predict fertility

2021 ◽  
pp. 1-26
Author(s):  
Johannes Norling
Keyword(s):  
Rational Expectations ◽  
Panel Study ◽  
Income Dynamics ◽  
Number Of Children ◽  
Childless Women

Abstract On average, childless women observed by the Panel Study of Income Dynamics report that they intend to have more children than they actually have. A collection of intentions that record only whether respondents intend to have another child can more accurately predict the number of children they have. Errors in the formation of intentions are not required to explain this finding. Rather, if intentions record a survey respondent's most likely predicted number of children, then the average of these intentions does not necessarily equal average actual fertility, even if intentions are formed using rational expectations.

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