Projekty badawcze

Modelowanie i prognozowanie lokalizacji firm w kontekście korzyści gęstości. Ujęcie teoretyczne, metodologiczne i empiryczne wykorzystujące ekonometrię przestrzenną i przestrzenne uczenie maszynowe.

UMO-2021\/41\/B\/HS4\/00285 - OPUS

This is a comprehensive project anchored around problems of spatial location in economics. It considers local density (of business, population etc.) as an important factor of a decision where to locate. It covers three scientific aspects:

1. methodology of modelling business location with regard to density,
2. economic theory of location focused on density,
3. empirical analysis to predict business locations (from different sectors) due to density – generating a map of territorial potential for a given area.

Project is to answer the intuitive observation that the density of business location and residents creates a feedback loop - it is the cause and effect of location decisions in the economy. It is natural that agricultural businesses are located in peripheral areas (i.e. with a lower density of firms) and knowledge-intensive firms in central areas (i.e. with higher density). It is also clear that the closest neighbour in a large city is within a radius of e.g. 1-3 km, but outside the city, the radius will be much broader. It is a bit less evident whether companies, e.g. from the trade and brokerage sector attract or repulse their locations and what is the sectoral composition of their surroundings. It is also not intuitive whether companies from the processing sector prefer to be located in e.g a medium-sized city far from the highway or in a small town near the highway. One can intuitively assume that the characteristics of companies located in high-density areas are different from those in low-density areas. Many such questions can be asked - also for investments and prices on the real estate market, population movement, and, consequently, for the labour market and many others.

Analiza determinant przetrwania startupów technologicznych - czynniki przestrzenne i interakcje

022/DIA/2020/49 - DIAMENTOWY GRANT

Celem naukowym projektu jest dokonanie analizy czynników sukcesu startupów
technologicznych, szczególnie w kontekście wpływu lokalizacji na przetrwanie firmy. Proponowane
badanie ma swoje podstawy w teoriach lokalizacyjnych przedsiębiorstw (teoria klasyczna,
behawioralna, Nowa Geografia Ekonomiczna) oraz w stosunkowo nowych podejściach teorii
ewolucyjnej i ko-ewolucyjnej. Przeprowadzona analiza będzie również dotykać najważniejszych
obecnie obszarów badawczych w dziedzinie regionalistyki –budowanie metodologii dla badań w
obszarach miejskich, ekonometryczne modelowanie przestrzenne, badania lokalizacji aktywności
ekonomicznej i innowacji, połączenie big data i regionalistyki. Proponowane badanie będzie dotyczyć
przede wszystkim szeroko zakrojonej problematyki ekosystemów przedsiębiorczych startupów
(entrepreneurial ecosystems) – jednego z najnowszych tematów badawczych, pojawiających się na
najważniejszych konferencjach regionalistów.

Experiments on gender stereotypes at the university

UMO-2019/35/O/HS4/01640 - PRELUDIUM BIS

The pursuit of science (esp. exact sciences) is commonly associated with the male gender. This has negativeconsequences but identifying the bias is hard. People are often unwilling to admit to it, which gives rise to newmethods of detection, e.g. the Implicit Association Test, IAT (Greenwald, McGhee, & Schwartz, 1998). In thisproject we propose two novel ways to uncover implicit gender-science bias. In Study 1, modified versions ofthe “female surgeon riddle” will be used. The participants will be asked questions such as: “A professor ofphysics had a child but was not this child's father. How is it possible?”. Inability to guess that she was themother will be taken as a proxy for stereotyping.In Study 2, they will be asked to translate a short text into Polish, e.g. “The third edition of the bookMathematical Concepts in the Physical Sciences by M. L. Boas provides a comprehensive introduction to thefield of mathematical physics.”. To express it correctly in Polish, the translator has to know that Boas was awoman, something that Google could tell them in less than a second.

Again, failure to check it and translatingas if Boas was a man will be an indicator of a bias. Between-subject treatment manipulations will be conductedin both studies to investigate factors which may help overcome the bias. In particular, we will check if monetaryincentives encourage verifying the stereotypical notion in Study 2.In Studies 3 and 4 we will investigate consequences of the bias.

Studies find that explicit gender discriminationin decisions on hiring, promotion, submissions, grant allocation is weak (Ceci, Ginther, Kahn, & Williams, 2014;Ceci & Williams, 2011), so we will investigate two informal ways in which male academics may be, on average,more supported than their female colleagues. First, “old-boys” networks  may provide more assistance andinformation about opportunities to males (Villanueva-Felez, Woolley, & Cañibano, 2015). In our Study 3,researchers employed at a university department (small enough to know most of their colleagues) will be toldof a one-time opportunity to receive additional research money amounting to 10 thousand PLN. They will beasked to rank a few of their colleagues (excluding themselves) that deserve the grant the most. The votes willbe confidential but not anonymous, which will allow identifying self-sex preference and controlling forpublications records, research interest, co-authoring networks etc. We intend to conduct this study at fourdepartments, contrasting exact sciences with humanities. In each of studies 1-3 we will also measureparticipants’ gender-science bias using both explicit declarations and the IAT.Finally, in Study 4, we will focus on student evaluation of teaching (SET).

Previous studies suggest that it  maybe gender-biased (Mitchell & Martin, 2018) and overall arbitrary, i.e. unrelated to actual effectiveness ofteaching (Uttl, White, & Gonzalez, 2017). Here, we will make use of a natural experiment, focusing on suchSET questions as whether the room was properly equipped for the classes, which have nothing to do withteacher’s performance. Thus, if there is there is any systematic difference for these questions between(randomly assigned) male teachers and female teachers of the same subject, teaching in the same rooms, itwill reveal evaluating students’ gender bias

New research program devoted to enhancing the validity and robustness of stated preference valuation methods in the face of selected behavioral phenomena and biases

UMO-2018/30/E/HS4/00388 - SONATA BIS

The  project concerns state-of-the-art stated  preference  (SP)  methods  for  modeling  consumers’  preferences  and  the  valuation  of  non-market  goods.  We  will  deal  with  several  issues  related  to  behavioral  anomalies, such  as  “anchoring”,  “fat  tails  problem”,  insufficient  sensitivity  to  scope,  ordering  effects,  etc., which are observed in SP studies despite utilizing the state-of-the-art recommendations for their construction, such  as  making  the  survey  instruments  incentive  compatible.

The aim  of  this  project  is  to  systematically  investigate selected biases and propose new ways to deal with them, thus making SP methods more robust and enhancing their validity.In particular, we intend to investigate the following issues: controlling for experience and information with the good, private or public nature of the good, survey quality-related anomalies (speeding, yeah-saying, attention, cognitive burden), incorrect accounting for preference heterogeneity, attribute non-attendance, non-constant marginal utility  of  money,  using  the  new  joint  discrete-continuous  econometric  models,  experimental  exploration  of  the  drivers  of  anchoring  observed  for  the  monetary  attribute,  combined  stated  and  revealed  preference  data  sources,  and  choice  set  formation. 

Overall,  this  project  constitutes a  research  program  consisting  of  several  components  that  are  contributing  to  the understanding  of  the  behavioral  anomalies  observed in SP studies, and can lead to addressing the problems these anomalies cause for the interpretation of SP results. 

POLSKIE POWROTY 2019

PPN/PP0/2019/1/ 00043 /U/0001 - NAWA

The aim is to establish a Centre for Labour and Family Dynamics (LABFAM) at the Faculty of Economic Sciences at the University of Warsaw. It is be the first research centre in Europe, which comprehensively addresses the consequences of rapid labour market changes for families (partnership formation and dissolution and fertility) in contemporary post-industrial societies with a focus on Europe.

Family formation and stability are crucial for individual well-being. They also determine the future social, economic and cultural development of a country. Family dynamics is at the same time affected by the continuously changing labour markets.

In LABFAM we study how these changes influence family dynamics and which policies can alleviate their negative consequences and thus improve the well-being of societies. In the first years, we will focus on the profound labour market changes caused by globalisation and digitalisation. We will also monitor the labour market and, with time, expand our research agenda (e.g. to labour market changes caused by climate change).

In addition, LABFAM will aim at:

1) improving availability of data for labour market and family research;

2) educating students;

3) providing evidence-based policy implications.

By concentrating on highly socially relevant and timely topics, which have not yet been addressed, and applying novel methodology (e.g. mixture cure models), we will make important contributions to family research with a potential to be published in high impact international journals. LABFAM will also stimulate scientific exchange in the fields of family and labour market, policy research, migration, globalisation and digitalisation. All in all, LABFAM will greatly contribute to the development of Polish social science and will strengthen the international research position of the WNE UW.

Political polarization and parliamentary voting on economic policies: thecase of Poland 2005-2019

UMO-2020/37/B/HS4/00787 - OPUS

The role of institutions for health, attitudes and behaviours in later life

UMO-2019/33/B/HS4/00387 - OPUS

Działanie I.3.9. IDUB 'Mobilność i nierówności przez pryzmat nowych cyfrowych źródeł danych'

01/IDUB/2019/94 - IDUB

The main objective of the action is to create a research programme at the UW using new types of data in innovative research dedicated to the determinants, measurement and consequences of territorial mobility, social mobility and economic inequality.

These issues are among the most pressing societal challenges of modern times. Developing research on them would improve UW's global standing in the social sciences and sustainably enhance publication opportunities in areas of great and growing interest. 
The primary outcome of the action is to consolidate and significantly strengthen the capacity of researchers already working or encouraged to work with the UW in three key areas:

• the ability to publish in high-impact journals in areas related to the study of mobility and inequality using new digital data sources;
• ability to form consortia able to compete and win in the most prestigious national (NCN MAESTRO) and international (Horizon Europe) competitions requiring an interdisciplinary approach;
• establishing by the consolidated team from the University of Warsaw research cooperation with the best academic centres in the world, which deal with the problems of mobility and inequality.  

Additionally, we assume that by consolidating existing resources it will be possible to achieve purely scientific goals, e.g. developing new theoretical or methodological approaches.
The action is to make use of previous scientific experience in this field of researchers from, among others, the Faculty of Economic Sciences, Centre of Migration Research, DELab, EUROREG, Institute of Sociology, Faculty of Applied Social Sciences and Social Reintegration, Faculty of Political Sciences and International Relations and several other units of the University of Warsaw. 

Działanie II.2.1 IDUB Program dla naukowców wizytujących:

01/IDUB/2019/94 - IDUB

The measure consists in creating small scientific teams consisting of an invited researcher with outstanding scientific achievements in a given discipline and researchers from the Warsaw University. In particular, stimulation of individual cooperation (tandem) is preferred. 

The measure is of horizontal nature and therefore open to all research disciplines at the University. However, particular emphasis will be placed on actions whose effectiveness in increasing scientific excellence of a given discipline is potentially the highest, taking into account the relation between the level of research of a given discipline in Poland and the state-of-the-art represented by the best units in the world (e.g. the field of social sciences, where a large part of research is of local or regional character). The indicative budget breakdown is 40% for POB activities, 60% for open access applications. 

Systemic Excise Risk Analyzer (Systemowy Analizator Ryzyk Akcyzowych (SARA)

GOSPOSTRATEG-II/0001/2020-00 - GOSPOSTRATEG