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Assessing the impact of training on unemployment duration using hazard models with instrumental variables

100%
Landmesser J.
Metody Ilościowe w Badaniach Ekonomicznych
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2010
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vol. 11
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issue 1
100-109
EN
The goal of the study is to prove the effectiveness of training programs directed to the unemployed on the local labor market in Poland. We estimate a semiparametric hazard model to assess the impact of training on the individual’s unemployment duration. To resolve the potential sample selection problem, the participation in a training program is instrumented using a probit model. The main question of this paper is whether the training significantly raises the transition rate from the unemployment into the employment state.
2
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Analiza karier równoległych z wykorzystaniem nieparametrycznego modelu ryzyk konkurencyjnych

100%
Landmesser J.
Metody Ilościowe w Badaniach Ekonomicznych
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2012
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vol. 13
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issue 3
137-148
PL
Przedmiotem badania są dwie wpływające na siebie nawzajem kariery równoległe: rodzinna i zawodowa. Analizie poddano dane zgromadzone w wyniku badania retrospektywnego „Biografie Zawodowe, Rodzinne i Edukacyjne”, przeprowadzonego przez Instytut Statystyki i Demografii SGH w 2006 roku. Dotyczyły one zdarzeń zanotowanych w biografiach aktywnych zawodowo młodych mężatek. Do modelowania wykorzystano nieparametryczny model zależnych ryzyk konkurencyjnych.
EN
The subjects of the study are two parallel careers influencing each other: family and occupational careers. We analyzed data collected from a retrospective survey "Family, Occupational and Educational Biographies", conducted by the Institute of Statistics and Demography, Warsaw School of Economics in 2006. The data related to the events recorded in the biographies of economically active young married women. The nonparametric model for dependent competing risks was used.
3

Econometric Analysis of Unemployment Duration Using Hazard Models

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Landmesser J.
Studia Ekonomiczne (Economic Studies)
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2009
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issue 1-2(60-61)
79-92
EN
The aim of this paper is to analyze the duration of unemployment periods of people using the survival analysis. The hazard model can be a suitable tool for the analysis of unemployment period duration. Estimating the multiepisode risk model with time-varying covariates we calculate the direct risk of leaving the unemployment in the next instant. Hazard models usually comprise not only present duration of the phenomenon as a significant determinant for the probability of its occurrence, but also other observable characteristics of individuals such as gender, age, marital status, place of residence, education level, level of disability. Duration models with time-varying covariates are proper tools for the analysis of the influence of the unemployment benefit received at the risk of leaving unemployment. Additionally, we assess the impact of vocational training on unemployment duration as well. The following hypotheses are put forward by us to be verified using hazard models: old age gives smaller re-employment possibilities; women are less likely to be employed than men; higher education gives greater employment possibilities; there is a greater tendency to leave the unemployment state if the registered person receives no unemployment benefit; vocational training raises the transition rate from unemployment; there is a smaller probability of exiting unemployment state for people entitled to social welfare. To estimate, we use data from the District Labor Office in Słupsk in Poland from January 1990 to July 2007.
4
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GENDER DIFFERENCES IN EXIT RATES FROM UNEMPLOYMENT IN POLAND

100%
Landmesser J.
Metody Ilościowe w Badaniach Ekonomicznych
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2014
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vol. 15
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issue 1
66-75
EN
The behaviour of women and men in the labour market is diverse. Traditionally, men have closer attachment to the labour market. Women, however, have more family responsibilities. In the paper, we analyse the exit rates from unemployment for each sex separately, and find out that the effects of the explanatory variables in estimated duration models depend upon gender. We begin our study with a single risk hazard model. These estimations are extended to a competing risks model with two destinations: employment and non-participation.
5
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A dynamic approach to the study of unemployment duration

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Landmesser J.
Metody Ilościowe w Badaniach Ekonomicznych
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2010
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vol. 11
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issue 1
212-222
EN
In this research work we investigate which factors influence the probability of leaving the unemployment state among people registered in the District Labor Office in S lupsk. The multiepisode hazard models with time-varying variables are suitable tools for this analysis. We introduced the changing labor market structure into the risk model. The main results achieved show that the job finding process depends on the historical time of the entry into the unemployment state and the actual historical time. Also, the specific individual characteristics of people unemployed, such as gender, age, marital status, place of residence, education level, influence the probability of exiting the unemployment state. There is a greater tendency to leave the unemployment state when the person doesn’t receive the unemployment benefit. The participation in the vocational training doesn’t increase the transition rate into employment.
6
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The use of the dynamic time warping (DTW) method to describe the COVID-19 dynamics in Poland

100%
Landmesser J.
Oeconomia Copernicana
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2021
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vol. 12
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issue 3
539-556
EN
Research background: In recent times, the whole world has been severely affected by the COVID-19 pandemic. The influence of the epidemic on the society and the economy has caused a great deal of scientific interest. The development of the pandemic in many countries was analyzed using various models. However, the literature on the dissemination of COVID-19 lacks econometric analyzes of the development of this epidemic in Polish voivodeships. Purpose of the article: The aim of the study is to find similarities in time series for infected with and those who died of COVID-19 in Polish voivodeships using the method of dynamic time warping. Methods: The dynamic time warping method allows to calculate the distance between two time series of different lengths. This feature of the method is very important in our analysis because the coronavirus epidemic did not start in all voivodeships at the same time. The dynamic time warping also enables an adjustment of the timeline to find similar, but shifted, phases. Using this method, we jointly analyze the number of infected and deceased people in each province. In the next step, based on the measured similarity of the time series, the voivodeships are grouped hierarchically. Findings & value added: We use the dynamic time warping to identify groups of voivodeships affected by the epidemic to a different extent. The classification performed may be useful as it indicates patterns of the COVID-19 disease evolution in Polish voivodeships. The results obtained at the regional level will allow better prediction of future infections. Decision makers should formulate further recommendations for lockdowns at the local level, and in the long run, adjust the medical infrastructure in the regions accordingly. Policymakers in other countries can benefit from the findings by shaping their own regional policies accordingly.
7
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Differences in income distributions for men and women in the European Union countries

100%
Landmesser J.
Equilibrium. Quarterly Journal of Economics and Economic Policy
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2019
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vol. 14
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issue 1
81-98
EN
Research background: Recently there has been an increase in interest in the studies of income inequalities. The findings of numerous empirical studies show that males earn higher wages than females. A variety of techniques of income inequalities decomposition are becoming popular. New procedures go far beyond the Oaxaca-Blinder decomposition. They allow to study differences of income distributions for various groups of people and to decompose them at various quantile points. Purpose of the article: The aim of the paper is to compare personal income distributions in selected countries of the European Union, taking into account gender differences. Methods: First, we examined the income inequalities between men and women in each country using the Oaxaca-Blinder decomposition procedure. The unexplained part of the gender pay gap gave us information about the wage discrimination. Second, we extended the decomposition procedure to different quantile points along the whole income distribution. To describe differences between the incomes of men and women, we constructed the so-called counterfactual distribution, which is a mixture of a conditional distribution of the dependent variable (income) and a distribution of the explanatory variables (individual people?s characteristics). Then, we utilized the residual imputation approach (JMP-approach). Findings & Value added: In the article data from EU-SILC (Statistics on Income and Living Conditions) were used. We found that there exists an important diversity in the size of the gender pay gap across members of the European Union. The results obtained for these countries allowed us to group them into clusters. In general, there are two types of countries in Europe: the countries, where the bulk of the observed income differences cannot be explained by observed characteristics, and the countries, where the explained and the unexplained effects are both positive, with even a bigger explained effect for the lower income ranges.
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