An Estimation Approach of Causal Effectiveness in Matching with Unobserved Preferences

2021 ◽  
Author(s):  
Siwei Chen ◽  
Suyi Lu ◽  
Haisheng Yang
Keyword(s):  
Unobserved Preferences

scholarly journals The impacts of pre-apprenticeship training for young people

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Richard Dorsett ◽  
Lucy Stokes
Keyword(s):  
Young People ◽  
Positive Impact ◽  
Youth Unemployment ◽  
Apprenticeship Training ◽  
Variable Approach ◽  
Average Impact ◽  
Unobserved Preferences ◽  
The Uk ◽  
The Impact ◽  
Instrumental Variable Approach

Apprenticeships are the key means by which the UK government aims to build skills and tackle the problem of youth unemployment. However, not all young people are able to secure an apprenticeship. Traineeships, a voluntary six-month programme of work placements and work preparation training, were introduced in England in 2013 to help equip young people with the skills and experience required to secure an apprenticeship or employment. The analysis in this paper uses linked administrative data on the population of trainees and a comparison sample of non-trainees to evaluate the impact of the programme on employment and apprenticeships. It uses a local instrumental variable approach, which allows selection into a traineeship to be influenced by unobserved preferences and for impacts to vary according to these preferences. The heterogeneous impacts can be aggregated to form an estimate of the average impact of treatment for all participants. The results show no overall impact on employment for younger trainees (16-18 year-olds) but an across-the-board positive impact on the probability of becoming an apprentice. For older trainees (19-23 year-olds), no significant impact on either employment or apprenticeships is evident among participants as a whole but the results suggest that, for those more resistant to participating, traineeships may actually reduce the probability of becoming an apprentice. These results confirm the effectiveness of traineeships as a means of facilitating apprenticeships among younger people. As such, they support the policy target of achieving 3 million apprenticeships by 2020.

The effect of unobserved preferences and race on vaccination hesitancy for COVID-19 vaccines: implications for health disparities

2021 ◽  
Vol 27 (9-a Suppl) ◽  
pp. S4-S13
Author(s):  
Eline M van den Broek-Altenburg ◽  
Adam J Atherly ◽  
Stephane Hess ◽  
Jamie Benson
Keyword(s):  
Health Disparities ◽  
Unobserved Preferences ◽  
Vaccination Hesitancy

scholarly journals The effect of unobserved preferences and race on vaccination hesitancy for COVID-19 vaccines: implications for health disparities

2021 ◽  
Vol 27 (9-a Suppl) ◽  
pp. S2-S11
Author(s):  
Eline M van den Broek-Altenburg ◽  
Adam J Atherly ◽  
Stephane Hess ◽  
Jamie Benson
Keyword(s):  
Health Disparities ◽  
Unobserved Preferences ◽  
Vaccination Hesitancy

Modeling Preferences for Common Attributes in Multicategory Brand Choice

2005 ◽  
Vol 42 (2) ◽  
pp. 195-209 ◽  
Author(s):  
Vishal P. Singh ◽  
Karsten T. Hansen ◽  
Sachin Gupta
Keyword(s):  
Choice Model ◽  
Dimensional Space ◽  
Brand Choice ◽  
Brand Names ◽  
Strong Correlations ◽  
Proposed Model ◽  
Unobserved Preferences ◽  
Household Preferences ◽  
Household Panel Data ◽  
Lower Dimensional Space

The authors propose a multicategory brand choice model based on the conceptualization that the intrinsic utility for a brand is a function of underlying attributes, some of which are common across categories. The premise is that household preferences for attributes that are common across categories are likely to be correlated. The model that the authors develop projects the unobserved preferences for attributes to a lower dimensional space of unobserved factors. The factors are interpretable as household “traits” that transcend categories, and they can be used to predict preferences for attributes in new categories. The authors apply the proposed model to household panel data for three closely related snack categories and for two less-related food categories. The authors find strong correlations in preferences for product attributes such as brand names and low fat or fat free. This study demonstrates that these high correlations in product attribute preferences across categories are useful in targeting activities in existing and new categories.

The Impact of Midwifery-Promoting Public Policies on Medical Interventions and Health Outcomes

2006 ◽  
Vol 6 (1) ◽  
Author(s):  
Amalia R Miller
Keyword(s):  
Public Policies ◽  
Insurance Coverage ◽  
The United States ◽  
Vital Statistics ◽  
Significant Drop ◽  
State Laws ◽  
Neonatal Deaths ◽  
Medical Interventions ◽  
Unobserved Preferences ◽  
The Impact

Abstract This paper measures the impact of midwifery-promoting public policies on maternity care in the United States, using national Vital Statistics data on births spanning 1989-1999. State laws mandating insurance coverage of midwifery services are associated with an 18-percentage rise in midwife-attended births. The laws did not decrease rates of cesarean deliveries or lead to consistent effects on maternal mortality or Apgar scores. They did, however, lead to a statistically significant drop in neonatal deaths. Divergence between OLS and natural experiment estimates suggests that women are selecting into provider groups based on unobserved preferences and health.

scholarly journals Unobserved preferences and dynamic platform pricing under positive network externality

2020 ◽  
Author(s):  
Hannu Huuki ◽  
Rauli Svento
Keyword(s):  
Electricity Market ◽  
Rational Expectations ◽  
Participation Rate ◽  
Network Externality ◽  
Management Service ◽  
Market Demand ◽  
Customer Base ◽  
Unobserved Preferences ◽  
Service Application ◽  
Positive Direct

AbstractWe study the dynamic optimization of platform pricing in industries with positive direct network externalities. The utility of the network for the consumer is modeled as a function of three components. Platform price and participation rate affect the consumer’s decision to join the platform. The platform operator is assumed to know the consumer’s sensitivities with respect to these components. In addition, the consumer’s utility is a function of other attributes, such as network privacy policies and environmental effects of the service. We assume that the distribution of these unobserved preferences in the potential customer base is known to the platform operator. We show analytically how the unobserved preferences affect the dynamic platform price design. Both static and rational expectations with respect to the platform participation are presented. We simulate an electricity market demand side management service application and show that the platform operator sets low prices in the launch phase. The platform operator can set higher launching prices if it can affect customers’ preferences, expectations or adjustment friction.

Sign in / Sign up

Export Citation Format

Share Document