scholarly journals Multinomial Logit Model Of Housing Demand In Poland

2015 ◽  
Vol 23 (1) ◽  
pp. 84-89 ◽  
Author(s):  
Michał Głuszak

Abstract When compared to mature housing markets, little has been done to understand the nature of demand on emerging housing markets in Central and Eastern Europe and to develop testable models for post-socialist economies. With the exception of Bazyl 2009 and Głuszak 2010, there is hardly any econometric evidence on factors behind housing tenure choices in Poland. The article focus mainly on: permanent (and current) income, household structure, lifecycle, and differences between local market characteristics. In the research, multinomial logistic regression is used to analyze factors that increase the probability of young households becoming homeowners. The major objectives of the study are: 1) estimation of housing demand at household level, 2) discussion of factors increasing the probability of becoming homeowner, 3) discussion of advantages and limitations of using classical qualitative response models to estimate housing demand. The research is based on latest European Union Statistics on Income and Living Conditions (EUSILC) 2007-2010 dataset (panel of approx. 4,500 households).

2020 ◽  
Vol 110 (3) ◽  
pp. 720-759 ◽  
Author(s):  
Monika Piazzesi ◽  
Martin Schneider ◽  
Johannes Stroebel

We study housing markets with multiple segments searched by heterogeneous clienteles. In the San Francisco Bay Area, search activity and inventory covary negatively across cities, but positively across market segments within cities. A quantitative search model shows how the endogenous flow of broad searchers to high-inventory segments within their search ranges induces a positive relationship between inventory and search activity across segments with a large common clientele. The prevalence of broad searchers shapes the response of housing markets to localized supply and demand shocks. Broad searchers help spread shocks across many segments and reduce their effect on local market activity. (JEL D83, R21, R31)


2021 ◽  
Author(s):  
Eskinder Gidey ◽  
Tirhas Gebregergis ◽  
Woldegebrial Zeweld ◽  
Haftamu Gebretsadik ◽  
Ogaile Dikinya ◽  
...  

Abstract Background Drought is one of the most damaging climate-induced threats impacting the lives of many people every year. The purpose of this study was to determine farmer’s drought coping strategies both proactive and reactive responses at household level based on the field survey in Raya Azebo and Raya Chercher districts, southern Tigray, Ethiopia. Agro–climatological based 246 households were sampled from the lowlands (36), midlands (202) and highlands (8). Multinomial logit model was used to identify best drought coping strategies. Results about 24.8% of female headed and 75.2% of male headed respondents have experienced mild to extremely severe drought in the last three decades. A significant association between the various drought severity and household heads (chi–square = 9.861, df = 3, p–value < 0.05) observed. Conclusions this study concluded that collection and saving of pasture, soil and water conservation practices, and use of weather prediction information to adjust saving and farming system are best proactive drought coping strategies. Whereas, feeding of roasted cactus for livestock, borrowing loans for running small business, selling of household assets and reduction of food consumptions are the major reactive or off–farm drought coping strategies in the study area. If the responses of smallholder farmers are not well supported by the concerned bodies, the existing disaster preparedness and early warning systems in the area might be significantly affected and its impacts will be very serious on both the livelihood of local people and natural resources in the area.


2021 ◽  
Vol 10 (6) ◽  
pp. 48
Author(s):  
David Mhlanga

The study intended to investigate the factors that are important in influencing the financial inclusion of smallholder farming households in Sub-Saharan Africa with a specific focus on Zimbabwe. Motivated by the fact that there is an increase in the evidence of the importance of financial inclusion in fighting poverty and the fact that by merely having a bank account, financial inclusion cannot be guaranteed, the study went further to interrogate factors that influence smallholder farmers to have a transaction account, to borrow and to have insurance. Since the dependent variable of financial inclusion had more than two categories, with three unordered categories, transaction account, savings/credit account, and insurance, the multinomial logistic regression was used to estimate the determinants of financial inclusion from these three categories of the dependent variable. The multinomial logit model results, with insurance as the reference category, indicated that the size of the household, transaction costs, gender and agricultural extension service were the factors influencing the demand for a household to open a transaction account. On the other hand, off-farm income and age of the household were the only two factors significantly influencing households to borrow. Therefore, it is imperative for, the government of Zimbabwe to come up with more policies that encourage farmers to participate in the formal financial market as financial inclusion can help to fight poverty and the general developments of societies.   Received: 28 April 2021 / Accepted: 31 August 2021 / Published: 5 November 2021


2021 ◽  
Vol 21` (01) ◽  
pp. 17125-17139
Author(s):  
Danisile Mthombeni ◽  
◽  
MA Antwi ◽  
T Rubhara ◽  
◽  
...  

Agro-processing is becoming more popular and practiced by farmers to reduce post-harvest losses,add value to farm products and increase farm income. This paper presents the small-scale crop farmers’ level of participation in agro-processing in the Gauteng province of South Africa. Data were collected from 255 small-scale crop farmers selected by random sampling using a semi-structured questionnaire.Statistical Package for Social Sciences (SPSS version 23 of 2015)was used to analyse data. Descriptive statistics (in form of percentages) were used to analyse the background characteristics of the farmers,whereas the multinomial logit model was further used to show the level of participationamongst the small-scale crop farmers. With respect to agro-processing, results indicated that 47.1% of the small-scale crop farmers participated partly,40.8% of them participated fully while 12.2% did not participate at all. Results of the multinomial analyses indicated that, educational level(p<0.05), size of the field(p<0.05),distance to the market (p<0.01),and access to credit (p<0.01)had positive significant influence on small-scale crop farmers’choice to participate fully in agro-processing. Gender,regarding male participation (p< 0.05),and age of farmer (p<0.01) had significant influence on farmers’ choice to fully participate in agro-processing. Furthermore, the results of the multinomial analyses showed that size of the field (p<0.01)owned by the farmer and access to credit(p< 0.05)had positive influence on the farmers’choice to participate partly in agro-processing whereas older farmers (p< 0.05),widows (p< 0.1) and farmers with more number of fields(p<0.01) were less likely to participate partly in agro-processing activities. These results have implications for the development of small-scale farmers venturing into agro-processing in the Gauteng province. Young females should be encouraged to join the agricultural sector as they are likely to participate in agro-processing activities which in turn results in improved income and food security at the household level. Furthermore, new agricultural education programmes should be encouraged in the area households as educated farmers are more likely to participate in the value addition activities of agro-processing.


2020 ◽  
Vol 110 (2) ◽  
pp. 196-202
Author(s):  
Chenyi Ma ◽  
Tony Smith

Objectives. To identify disparities in home damage from Hurricane Maria among Puerto Rican households with different housing tenure and income levels. Methods. Using household inspection data obtained by the Federal Emergency Management Agency (FEMA), including an ordinal damage severity measure, we used generalized ordered logistic regression to estimate the relative risks of damage severities between renters and homeowners, and between households with different incomes. Results. With respect to the FEMA damage-severity classifications of “minor,” “major,” and “destroyed,” renters were more at risk than homeowners for both “major-or-destroyed” and “destroyed” outcomes. Similarly, lower-income households were at greater risk for both “major-or-destroyed” and “destroyed” outcomes. When we allowed for an interaction between income and housing tenure, the difference in risk of “destroyed” outcomes between renters and homeowners was substantially greater at lower income levels. Conclusions. These results provide evidence at the individual household level that renters and lower-income households are most vulnerable to hurricane damage. Our interaction results suggest that lower-income renters are particularly vulnerable to severe home damage. Public Health Implications. Disaster preparedness policies should raise structural standards for low-income housing to reduce risks of severe damage.


2019 ◽  
Vol 13 (3) ◽  
pp. 375-392 ◽  
Author(s):  
Amy Soon ◽  
Consilz Tan

Purpose This paper aims to investigate the housing preference and housing affordability in Malaysian housing markets. There is a lack of research on the gap between supply and demand of houses in this market. Urbanization has increased the demand of houses in urban areas. However, the high demand in residential units increases the housing price which causes the affordability level dropped. Besides, the residences that provided by developers do not meet the expectation of the home buyers. There are three attributes that examined in this research to understand the home buyers’ preference. Design/methodology/approach This paper provides quantitative analysis on the housing affordability and the home buyers’ preference. This paper presents the results on the home buyers’ housing affordability and buying preference on houses. In addition, the study further confirmed the significant relationship between monthly income and type of preferred house, as well as monthly income and range of housing affordability using cross-tabulation analysis. Findings The findings indicated that the housing price in the current market is not affordable by most of the homebuyers and there are certain attributes that important to home buyers which should not be neglected. Research limitations/implications This paper helps to shed light on the planning of Malaysian housing policy especially on the issue of providing affordable housing in urban areas. Practical implications Policymakers shall consider the elements of economics, social acceptance and feasibility of Malaysian housing policies to achieve sustainability in Malaysian housing markets. With the current government’s move to promote housing affordability amongst B40 income groups, local government and housing developers should work together in addressing housing demand in accordance to states and ensure that there is a more targeted housing policy. Social implications With the detailed analysis on the home buyers’ preference, it helps to promote sustainable housing developments in meeting basic housing needs and preference. Originality/value This is the first study to examine relationship between Malaysian housing affordability with monthly income and type of preferred house. In the meantime, the housing affordability is compared with mean housing price and type of perceived affordable house. The paper presented homebuyer’s preference in housing for the consideration of government and housing developers in providing affordable housing.


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Kate Schneider ◽  
William Masters

Abstract Objectives Nutrient requirements are defined for individuals, but meals are often shared and food consumption is typically measured at the household level. Prior studies of nutrient adequacy using household data have estimated requirements in terms of adult equivalents. We introduced a nutrient-by-nutrient approach to capture differences in household composition, and used this measure to test whether a household's nutrient adequacy was associated with the market cost of nutritionally adequate diets. Methods We used panel data on food consumption from 1398 rural Malawian households from the Malawi Integrated Household Survey Panel with monthly prices for 53 foods at the nearest market. Both datasets are collected by the National Statistics Office (NSO), matched at the market-month level. We defined household nutrient needs as the highest density of each nutrient (quantity per kilocalorie) required by any household member over 6 months, summed over daily energy requirements for each individual in the household. From local prices and food composition data we calculated a least-cost, nutritionally adequate diet for the mean household, and computed its level at each location. From observed consumption and nutrient needs we calculated household nutrient adequacy ratios (HNARs) and mean adequacy ratios (HMAR), and tested their association with the local market cost of nutrient adequacy (CoNA), controlling for seasonality, volatility of diet cost, and household size. Results In each round of the survey, between 36% and 59% of households reached their nutrient requirements (HMAR = 1). We found no significant association with the level, seasonality or volatility in market costs, but found that greater household size is associated with lower odds of meeting nutrient adequacy. Conclusions Our novel approach recognizes food sharing at the household level, typical in developing countries, thereby advancing the potential to conduct nutrition-related analyses with existing household survey data. Our initial application found no association with market prices suggesting that other factors may be more important predictors of nutrient adequacy. Future analyses will investigate dietary patterns and cost of individual nutrients to further explain the odds of meeting household needs. Funding Sources Bill & Melinda Gates Foundation via the CANDASA project. Supporting Tables, Images and/or Graphs


2013 ◽  
Vol 17 (7) ◽  
pp. 1555-1564 ◽  
Author(s):  
Ana Carolina Lima Cirino ◽  
Roberta de Vargas Zanini ◽  
Denise Petrucci Gigante

AbstractObjectiveTo investigate the consumption of foods with voluntary fortification of vitamins and minerals (FVFVM) according to demographic, socio-economic and health characteristics.DesignA cross-sectional population-based study.SettingThe investigated food groups were selected in two stages according to availability of food in the local market and prevalence of food consumption in a recent national survey. The research instruments included a questionnaire and a photographic catalogue. The FVFVM consumption covered a period of one week prior to the interview date. Statistical analyses were performed using Stata 12·0 statistical software package, considering the design effect and a hierarchical model. A multinomial logistic regression was applied to estimate the prevalence ratios. All tests were two-tailed, with a 5·0 % significance level.SubjectsAdults (≥20 years old) living in a southern city of Brazil.ResultsBetween February and June 2012, 2925 individuals were interviewed. Losses and refusals corresponded to 13·4 % of the sample. The overall prevalence of FVFVM consumption was 73·3 (95 % CI 71·7, 75·9) %. The total number of FVFVM reported exhibited a distribution with a median of two and a maximum of fifteen, inflated by the FVFVM categorized in the ‘juice’ group. The micronutrients most consumed were vitamin C, followed by Fe and thiamin. Young adults, females, those of higher socio-economic status and those who perceived their health positively were more likely to consume FVFVM.ConclusionsPrevalence of FVFVM consumption in southern Brazil, occurring concurrently with the decline in consumption of unprocessed and minimally processed foods, and the way voluntary fortification is being employed trigger a warning sign to primary prevention.


Author(s):  
Juan Carmona ◽  
Markus Lampe ◽  
Joan R. Rosés

ABSTRACTThis article makes the first systematic attempt to analyse quantitatively the evolution of Spanish housing markets from 1904 to 1934, a period of dramatic changes in housing demand as a consequence of substantial income and demographic growth. In order to do so, we collect a new database on houses sold and their prices using data from the Registrar's Yearbooks. Furthermore, we construct a new hedonic index of real housing prices for Spain and its provinces. To our surprise, we found that real housing prices rose slightly over the entire period and, hence, that housing supply responded effectively to new demand for housing.


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