The growth of Airbnb is likely to affect the local housing rental market by reducing the supply of properties. I combine data from Airbnb and Zoopla and examine how the price of individual houses evolves over time, as Airbnb penetrates the market in the area of Greater London. Leveraging the fact that properties with more than three bedrooms are less exposed to Airbnb, I use a difference-in-differences strategy by year and house type. I find that a 10-percent increase in the number of Airbnb properties in a ward increases real rents by 0.1 percent. The effect of Airbnb is highest in one-bedroom properties because these smaller properties are substitutes for hotel rooms, inducing landlords to shift supply from long-let rental market to Airbnb. The impact of Airbnb is heterogeneous, and areas that are more in demand by residents due to better quality schools show a more considerable increase in rents.
{"title":"Effects of Airbnb on the Housing Market: Evidence from London.","authors":"Amit Chaudhary","doi":"10.2139/ssrn.3945571","DOIUrl":"https://doi.org/10.2139/ssrn.3945571","url":null,"abstract":"The growth of Airbnb is likely to affect the local housing rental market by reducing the supply of properties. I combine data from Airbnb and Zoopla and examine how the price of individual houses evolves over time, as Airbnb penetrates the market in the area of Greater London. Leveraging the fact that properties with more than three bedrooms are less exposed to Airbnb, I use a difference-in-differences strategy by year and house type. I find that a 10-percent increase in the number of Airbnb properties in a ward increases real rents by 0.1 percent. The effect of Airbnb is highest in one-bedroom properties because these smaller properties are substitutes for hotel rooms, inducing landlords to shift supply from long-let rental market to Airbnb. The impact of Airbnb is heterogeneous, and areas that are more in demand by residents due to better quality schools show a more considerable increase in rents.","PeriodicalId":143058,"journal":{"name":"Econometric Modeling: Microeconometric Studies of Health","volume":"122 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131550727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
How does food consumption improve educational outcomes is an important policy issue for developing countries. Applying the Indonesian Family Life Survey (IFLS) 2014, we estimate the returns of food consumption to education and investigate if more educated individuals tend to consume healthier bundles than less-educated individuals do. We implement the Expected Outcome Methodology, which is similar to Average Treatment on The Treated (ATT) conceptualized by Angrist and Pischke (2009). We find that education tends to tilt consumption towards healthier foods. Specifically, individuals with upper secondary or higher levels of education, on average, consume 31.5% more healthy foods than those with lower secondary education or lower levels of education. With respect to unhealthy food consumption, more highly-educated individuals, on average, consume 22.8% less unhealthy food than less-educated individuals. This suggests that education can increase the inequality in the consumption of healthy food bundles. Our study suggests that it is important to design policies to expand education for all for at least up to higher secondary level in the context of Indonesia. Our finding also speaks to the link between food-health gradient and human capital formation for a developing country such as Indonesia.
{"title":"Education and Food Consumption Patterns: Quasi-Experimental Evidence from Indonesia","authors":"Dr Mohammad Rafiqul Islam","doi":"10.2139/ssrn.3925151","DOIUrl":"https://doi.org/10.2139/ssrn.3925151","url":null,"abstract":"How does food consumption improve educational outcomes is an important policy issue for developing countries. Applying the Indonesian Family Life Survey (IFLS) 2014, we estimate the returns of food consumption to education and investigate if more educated individuals tend to consume healthier bundles than less-educated individuals do. We implement the Expected Outcome Methodology, which is similar to Average Treatment on The Treated (ATT) conceptualized by Angrist and Pischke (2009). We find that education tends to tilt consumption towards healthier foods. Specifically, individuals with upper secondary or higher levels of education, on average, consume 31.5% more healthy foods than those with lower secondary education or lower levels of education. With respect to unhealthy food consumption, more highly-educated individuals, on average, consume 22.8% less unhealthy food than less-educated individuals. This suggests that education can increase the inequality in the consumption of healthy food bundles. Our study suggests that it is important to design policies to expand education for all for at least up to higher secondary level in the context of Indonesia. Our finding also speaks to the link between food-health gradient and human capital formation for a developing country such as Indonesia.","PeriodicalId":143058,"journal":{"name":"Econometric Modeling: Microeconometric Studies of Health","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121366083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We revisit the school choice problem with affirmative action policies, or more generally, the controlled school choice problem proposed by Abdulkadiroglu and Sönmez (2003), and furtherly developed by Kojima (2012). The latter investigates the welfare effects of affirmative action policies and shows that certain market situations can hurt minority students. We observe that apart from stable mechanisms and the top trading cycle mechanism, reconciliations between two other celebrated mechanisms, the Boston mechanism and the Serial Dictatorship mechanism, and affirmative action policies, such as the quota-based policy and the priority-based policy, are all detrimental to minorities as well. Nevertheless, we discover that under the priority-based policy with an additional constraint on the priority order of majority students, both the Boston mechanism and the Serial Dictatorship mechanism manage to eliminate adverse consequences. Meanwhile, we also study the reserve-based policy, and demonstrate that it suffers from the same drawback as other mechanisms do unless the flexibility for schools to have majority students when the reserve is not fulfilled is adjusted into a round-concerned form. We also study the Pareto dominance relationship under reserve-based policies, and discover positive results.
{"title":"New Perspectives on the Effectiveness of Affirmative Action in School Choice","authors":"Zhiming Feng, Jie Zheng","doi":"10.2139/ssrn.3928279","DOIUrl":"https://doi.org/10.2139/ssrn.3928279","url":null,"abstract":"We revisit the school choice problem with affirmative action policies, or more generally, the controlled school choice problem proposed by Abdulkadiroglu and Sönmez (2003), and furtherly developed by Kojima (2012). The latter investigates the welfare effects of affirmative action policies and shows that certain market situations can hurt minority students. We observe that apart from stable mechanisms and the top trading cycle mechanism, reconciliations between two other celebrated mechanisms, the Boston mechanism and the Serial Dictatorship mechanism, and affirmative action policies, such as the quota-based policy and the priority-based policy, are all detrimental to minorities as well. Nevertheless, we discover that under the priority-based policy with an additional constraint on the priority order of majority students, both the Boston mechanism and the Serial Dictatorship mechanism manage to eliminate adverse consequences. Meanwhile, we also study the reserve-based policy, and demonstrate that it suffers from the same drawback as other mechanisms do unless the flexibility for schools to have majority students when the reserve is not fulfilled is adjusted into a round-concerned form. We also study the Pareto dominance relationship under reserve-based policies, and discover positive results.","PeriodicalId":143058,"journal":{"name":"Econometric Modeling: Microeconometric Studies of Health","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130254681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article investigates the impact of macroeconomic fundamentals on the valuation of non-negative equity guarantee (NNEG) of equity release mortgages. The house price returns are modelled within the family of multiplicative volatility processes using a two-component GARCH-MIDAS model. The pricing framework is constructed based on a general exponential linear pricing kernel, and the risk-neutral dynamics are derived assuming an autoregressive structure for the macroeconomic variables. Our numerical results indicate that the addition of macroeconomic variables improves the predictive performance of the house price returns and have a significant effect on the NNEG valuation.
{"title":"On Non-Negative Equity Guarantee Calculations with Macroeconomic Variables Related to House Prices","authors":"A. Badescu, E. Quaye, R. Tunaru","doi":"10.2139/ssrn.3900697","DOIUrl":"https://doi.org/10.2139/ssrn.3900697","url":null,"abstract":"This article investigates the impact of macroeconomic fundamentals on the valuation of non-negative equity guarantee (NNEG) of equity release mortgages. The house price returns are modelled within the family of multiplicative volatility processes using a two-component GARCH-MIDAS model. The pricing framework is constructed based on a general exponential linear pricing kernel, and the risk-neutral dynamics are derived assuming an autoregressive structure for the macroeconomic variables. Our numerical results indicate that the addition of macroeconomic variables improves the predictive performance of the house price returns and have a significant effect on the NNEG valuation.","PeriodicalId":143058,"journal":{"name":"Econometric Modeling: Microeconometric Studies of Health","volume":"476 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122192491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, the factor model is used to explore the importance of the monthly macroeconomic variables and Google Trend index in forecasting the Taipei House Price Index. In particular, We consider different settings of constructing the factors, including the traditional factor model, squared factors, squared principal components, and the three-pass regression filter. Model selection criteria, AIC, is used to select the number of factors that should be included as regressors. To take account of the model uncertainty, We also consider the model average approach, S-AIC (smoothed AIC). The forecast performance in terms of the MSFE shows that the model with the model average technique generally performs better. After adding Google Trend information, the improvements of the short run forecast are apparent, which suggests that the search activities can reflect the housing demand.
{"title":"Forecasting the Taipei House Prices Index: An Application of Factor Model with Google Trend Index","authors":"Yu-Fang Chang, Shou-Yung Yin","doi":"10.2139/ssrn.3877924","DOIUrl":"https://doi.org/10.2139/ssrn.3877924","url":null,"abstract":"In this paper, the factor model is used to explore the importance of the monthly macroeconomic variables and Google Trend index in forecasting the Taipei House Price Index. In particular, We consider different settings of constructing the factors, including the traditional factor model, squared factors, squared principal components, and the three-pass regression filter. Model selection criteria, AIC, is used to select the number of factors that should be included as regressors. To take account of the model uncertainty, We also consider the model average approach, S-AIC (smoothed AIC). The forecast performance in terms of the MSFE shows that the model with the model average technique generally performs better. After adding Google Trend information, the improvements of the short run forecast are apparent, which suggests that the search activities can reflect the housing demand.","PeriodicalId":143058,"journal":{"name":"Econometric Modeling: Microeconometric Studies of Health","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126980420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The results of an investigation by the Student Borrower Protection Center offer new evidence that for-profit coding bootcamps and ISA companies may be systemically violating federal law by omitting a legally mandated term from the contracts underlying students’ ISAs—language required under the Federal Trade Commission’s (FTC) “Holder Rule.” The Holder Rule is a federal regulation intended to help consumers when a defective or fraudulent product or service is purchased with credit extended directly by the seller or arranged by the seller. The rule allows the consumer to assert the seller’s fraud (or the product’s defect) as a defense to repayment of their credit obligation, even where a new entity owns their credit contract—or even to sue for reimbursement of money already paid for the fraudulent or defective products or services. In addition to being against the law, the omission of this required contract language could leave tens of thousands of students holding the bag when lofty promises from coding schools disappointingly manifest in low-quality educational products.
{"title":"Income Share Agreements and the FTC’s Holder Rule","authors":"Benjamin J. Roesch, Ben Kaufman","doi":"10.2139/ssrn.3802911","DOIUrl":"https://doi.org/10.2139/ssrn.3802911","url":null,"abstract":"The results of an investigation by the Student Borrower Protection Center offer new evidence that for-profit coding bootcamps and ISA companies may be systemically violating federal law by omitting a legally mandated term from the contracts underlying students’ ISAs—language required under the Federal Trade Commission’s (FTC) “Holder Rule.” The Holder Rule is a federal regulation intended to help consumers when a defective or fraudulent product or service is purchased with credit extended directly by the seller or arranged by the seller. The rule allows the consumer to assert the seller’s fraud (or the product’s defect) as a defense to repayment of their credit obligation, even where a new entity owns their credit contract—or even to sue for reimbursement of money already paid for the fraudulent or defective products or services. In addition to being against the law, the omission of this required contract language could leave tens of thousands of students holding the bag when lofty promises from coding schools disappointingly manifest in low-quality educational products.","PeriodicalId":143058,"journal":{"name":"Econometric Modeling: Microeconometric Studies of Health","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125724522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study provides evidence of strong-form efficiency in the housing market, where prices fully incorporate private information. We use Amazon's progressive disclosure of its new headquarters locations in Virginia and New York to distinguish changes in the public's knowledge. Using a spatial difference-in-differences approach, we test whether housing prices increase before Amazon's public announcements. Housing prices near the Virginia headquarters exhibit 4.3% premia before Amazon's decision but no additional increase upon decision. Price premia for New York reach 17.5% before decision but disappear once Amazon cancels the headquarters. Other finalist cities exhibit no price premia, precluding the possibility of speculation.
{"title":"Amazon Is Coming to Town: Information and Housing Market Efficiency","authors":"Yifan Chen, Sean Wilkoff, Jiro Yoshida","doi":"10.2139/ssrn.3762672","DOIUrl":"https://doi.org/10.2139/ssrn.3762672","url":null,"abstract":"This study provides evidence of strong-form efficiency in the housing market, where prices fully incorporate private information. We use Amazon's progressive disclosure of its new headquarters locations in Virginia and New York to distinguish changes in the public's knowledge. Using a spatial difference-in-differences approach, we test whether housing prices increase before Amazon's public announcements. Housing prices near the Virginia headquarters exhibit 4.3% premia before Amazon's decision but no additional increase upon decision. Price premia for New York reach 17.5% before decision but disappear once Amazon cancels the headquarters. Other finalist cities exhibit no price premia, precluding the possibility of speculation.","PeriodicalId":143058,"journal":{"name":"Econometric Modeling: Microeconometric Studies of Health","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126756920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Irmak Turan, Andrea M. Chegut, Daniel Fink, C. Reinhart
A view contributes to a person’s visual perception, comfort, and health in a building—reducing stress, improving concentration, increasing productivity, and bolstering creativity. Yet, what makes a view alluring is also what makes it ineffable and difficult to characterize. We introduce two new metrics to quantitatively assess view access in open floorplans, and using the metrics, we measure the economic impact of views on office rents in Manhattan, New York City. We evaluate spatial view access in 5,154 office spaces; and then, combining the view analysis results with rent transaction data, we model the financial performance of rents paid by tenants with varying views whilst controlling for other vital factors impacting office rents. We find that spaces with high access to views have a 6% net effective rent premium over spaces with low access to views. This financial impact is independent of other values drivers like daylight. In the case where there is both high daylight and view access, there is also a 6% effective rent premium. Office tenants value views and have historically paid for them. The metrics introduced in this work can be used in architectural design and planning to analyze the potential for views in new and existing buildings. The value of views is evident in human health data and, as shown in this paper, in tenant lease prices; the method proposed in this work provides a systematic means by which to further explore the value of views.
{"title":"Development of View Analysis Metrics and Their Financial Impacts on Office Rents","authors":"Irmak Turan, Andrea M. Chegut, Daniel Fink, C. Reinhart","doi":"10.2139/ssrn.3784759","DOIUrl":"https://doi.org/10.2139/ssrn.3784759","url":null,"abstract":"A view contributes to a person’s visual perception, comfort, and health in a building—reducing stress, improving concentration, increasing productivity, and bolstering creativity. Yet, what makes a view alluring is also what makes it ineffable and difficult to characterize. We introduce two new metrics to quantitatively assess view access in open floorplans, and using the metrics, we measure the economic impact of views on office rents in Manhattan, New York City. We evaluate spatial view access in 5,154 office spaces; and then, combining the view analysis results with rent transaction data, we model the financial performance of rents paid by tenants with varying views whilst controlling for other vital factors impacting office rents. We find that spaces with high access to views have a 6% net effective rent premium over spaces with low access to views. This financial impact is independent of other values drivers like daylight. In the case where there is both high daylight and view access, there is also a 6% effective rent premium. Office tenants value views and have historically paid for them. The metrics introduced in this work can be used in architectural design and planning to analyze the potential for views in new and existing buildings. The value of views is evident in human health data and, as shown in this paper, in tenant lease prices; the method proposed in this work provides a systematic means by which to further explore the value of views.","PeriodicalId":143058,"journal":{"name":"Econometric Modeling: Microeconometric Studies of Health","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123705631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper studies whether universities should select their students only using specialised subject-specific tests, or on the basis of a broader set of skills and knowledge. The empirical analysis is guided by a theoretical framework. The theoretical model shows that even if broader skills are not improving graduates’ outcomes in the labour market, the university chooses to use them as a criterion for selection alongside the mastery of more subject-specific tools. This is so because broader skills allow the university to select candidates who are on average abler. I test the model on a large administrative dataset of Portuguese students. Within programmes, I exploit the variation between specific and non-specific entrance exam sets. My central finding is that, on average, universities with less specialised admission policies admit a pool of students who obtain a higher final GPA.
{"title":"Specialists or All-Rounders: How Best To Select University Students?","authors":"P. Silva","doi":"10.2139/ssrn.3757434","DOIUrl":"https://doi.org/10.2139/ssrn.3757434","url":null,"abstract":"This paper studies whether universities should select their students only using specialised subject-specific tests, or on the basis of a broader set of skills and knowledge. The empirical analysis is guided by a theoretical framework. The theoretical model shows that even if broader skills are not improving graduates’ outcomes in the labour market, the university chooses to use them as a criterion for selection alongside the mastery of more subject-specific tools. This is so because broader skills allow the university to select candidates who are on average abler. I test the model on a large administrative dataset of Portuguese students. Within programmes, I exploit the variation between specific and non-specific entrance exam sets. My central finding is that, on average, universities with less specialised admission policies admit a pool of students who obtain a higher final GPA.","PeriodicalId":143058,"journal":{"name":"Econometric Modeling: Microeconometric Studies of Health","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122487906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Young individuals are currently living with their parents more than at any other point in time, while also spending more on housing. In this paper, I first show how labor market entry conditions affect housing tenure and affordability in the long term, by using the unemployment rate at the time of graduation as an exogenous shock to income. I perform this analysis across Europe for the last 25 years. Results indicate that a 1 pp increase in the unemployment rate at the time of graduation leads, one year after, to (1) a 1.50 pp increase in the probability of living with parents, (2) a 1.02 pp decrease in the probability of home-ownership and 0.45 pp decrease in renting, and (3) worse affordability. Second, I develop an OLG model to link income shocks for young agents with changes in housing tenure at the aggregate level. I allow for an outside option for landlords which can introduce rigidity into the rental market. Results show that if rental markets are rigid, an income shock to young agents will translate into a larger share of them living with their parents, worse affordability, and larger welfare losses. Finally, I perform a policy exercise based on the French housing aid system. I show that housing aid policies can help to recover welfare losses for young agents, by enabling them to afford to rent. Recognizing the right scenario for the implementation of these policies is key to ensure welfare gains concentrate on the targeted population.
{"title":"‘Mom, Dad: I’m Staying’ Initial Labor Market Conditions, Housing Markets, and Welfare","authors":"Rodrigo Martínez Mazza","doi":"10.2139/ssrn.3785901","DOIUrl":"https://doi.org/10.2139/ssrn.3785901","url":null,"abstract":"Young individuals are currently living with their parents more than at any other point in time, while also spending more on housing. In this paper, I first show how labor market entry conditions affect housing tenure and affordability in the long term, by using the unemployment rate at the time of graduation as an exogenous shock to income. I perform this analysis across Europe for the last 25 years. Results indicate that a 1 pp increase in the unemployment rate at the time of graduation leads, one year after, to (1) a 1.50 pp increase in the probability of living with parents, (2) a 1.02 pp decrease in the probability of home-ownership and 0.45 pp decrease in renting, and (3) worse affordability. Second, I develop an OLG model to link income shocks for young agents with changes in housing tenure at the aggregate level. I allow for an outside option for landlords which can introduce rigidity into the rental market. Results show that if rental markets are rigid, an income shock to young agents will translate into a larger share of them living with their parents, worse affordability, and larger welfare losses. Finally, I perform a policy exercise based on the French housing aid system. I show that housing aid policies can help to recover welfare losses for young agents, by enabling them to afford to rent. Recognizing the right scenario for the implementation of these policies is key to ensure welfare gains concentrate on the targeted population.","PeriodicalId":143058,"journal":{"name":"Econometric Modeling: Microeconometric Studies of Health","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130356617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}