Ljubica Nedelkoska

In this interview article, we embark on a fascinating journey through time alongside the winners of the 2023 DRUID Best Paper Award. DRUID, an annual research conference renowned as the hub of cutting-edge research on innovation and the dynamics of structural, institutional, and geographic change, bestows this award on the most innovative and exceptional conference submission. As longstanding allies of DRUID, Industry and Innovation offers an exclusive peek behind the curtains, unveiling the untold stories that underlie award-winning research.

In 2023, this coveted DRUID prize was awarded to a paper by Ljubica Nedelkoska, Shreyas Gadgin Matha, James McNerney, Andre Assumpcao, Dario Diodato, and Frank Neffke. Their work stands out through an impressive data collection effort and the exploration of a compelling and urgent research question – how technological change has impacted the gender pay gap. Throughout this interview, the author team takes us down memory lane, retelling the story behind their research project. On this journey through time, we trace the genesis of the authors’ innovative ideas and the intricate pathways they navigated in their quest to understand the past as a means of unravelling the future of work and its implications for gender inequality in the labour market. This journey not only takes us back in time but also points to potential avenues for future research and open questions that lie ahead.

To study the causes of the 2021 Great Resignation, we use text analysis and investigate the changes in work- and quit-related posts between 2018 and 2021 on Reddit. We find that the Reddit discourse evolution resembles the dynamics of the U.S. quit and layoff rates. Furthermore, when the COVID-19 pandemic started, conversations related to working from home, switching jobs, work-related distress, and mental health increased, while discussions on commuting or moving for a job decreased. We distinguish between general work-related and specific quit-related discourse changes using a difference-in-differences method. Our main finding is that mental health and work-related distress topics disproportionally increased among quit-related posts since the onset of the pandemic, likely contributing to the quits of the Great Resignation. Along with better labor market conditions, some relief came beginning-to-mid-2021 when these concerns decreased. Our study underscores the importance of having access to data from online forums, such as Reddit, to study emerging economic phenomena in real time, providing a valuable supplement to traditional labor market surveys and administrative data.

Media release: What can we learn from the Great Resignation?

We study the factors behind the public sector premium in Albania and Sri Lanka, the group heterogeneity in the premium, the sources of public sector wage compression, and the impact of this compression on the way individuals self-select between the public and the private sector. Similar to other countries, the public sectors in Albania and Sri Lanka pay higher wages than the private sector, for all but the most valued employees. While half of the premium of Sri Lanka and two-thirds of it in Albania are explained by differences in the occupation-education-experience mix between the sectors, and the level of private sector informality, the unexplained part of the premium is significant enough to affect the preferences of working in the public sector for different groups. We show that the compressed distributions of public sector wages and benefits create incentives for positive sorting into the public sector among most employees, and negative sorting among the most productive ones.

Listen to a podcast with author Ljubica Nedelkoska as she discusses the factors behind public sector wage premiums. 

This study focuses on the risk of automation and its interaction with training and the use of skills at work. Building on the expert assessment carried out by Carl Frey and Michael Osborne in 2013, the paper estimates the risk of automation for individual jobs based on the Survey of Adult Skills (PIAAC). The analysis improves on other international estimates of the individual risk of automation by using a more disaggregated occupational classification and identifying the same automation bottlenecks emerging from the experts’ discussion. Hence, it more closely aligns to the initial assessment of the potential automation deriving from the development of Machine Learning. Furthermore, this study investigates the same methodology using national data from Germany and United Kingdom, providing insights into the robustness of the results.

The risk of automation is estimated for the 32 OECD countries that have participated in the Survey of Adult Skills (PIAAC) so far. Beyond the share of jobs likely to be significantly disrupted by automation of production and services, the accent is put on characteristics of these jobs and the characteristics of the workers who hold them. The risk is also assessed against the use of ICT at work and the role of training in helping workers transit to new career opportunities.

The degree to which modern technologies are able to substitute for groups of job tasks has renewed fears of near-future technological unemployment. We argue that our knowledge, skills and abilities (KSA) go beyond the specific tasks we do at the job, making us potentially more adaptable to technological change than feared. The disruptiveness of new technologies depends on the relationships between the job tasks susceptible to automation and our KSA. Here we first demonstrate that KSA are general human capital features while job tasks are not, suggesting that human capital is more transferrable across occupations than what job tasks would predict. In spite of this, we document a worrying pattern where automation is not randomly distributed across the KSA space – it is concentrated among occupations that share similar KSA. As a result, workers in these occupations are making longer skill transitions when changing occupations and have higher probability of unemployment.

Immigration and Economic Transformation: A Concept Note

Ljubica Nedelkoska, Tim O’Brien, Ermal Frasheri, Daniel Stock

In May 2017, CID prepared a concept note that described the connection between immigration and knowhow transfer internationally and profiled the current state of low immigration levels and immigration policy issues in Sri Lanka. The note identifies immigration policy reform as an important area of opportunity for unleashing higher levels of entrepreneurship and the introduction of new knowhow for economic diversification in Sri Lanka, but stops short of providing specific recommendations. Instead, the note lays out broad ideas for making immigration policy more flexible and encourages the Government of Sri Lanka to activate a cross-government policy team that is capable of developing reforms that meet Sri Lanka’s particular needs. 

A Comparative View on of Immigration Frameworks in Asia: Enhancing the Flow of Knowledge through Migration

Ermal Frasheri, Ljubica Nedelkoska, Sehar Noor, Tim O’Brien

Later in 2017, at the request of a policy team of the Government of Sri Lanka, CID conducted research to compare immigration policy frameworks in other countries in Asia to understand promising policy options for Sri Lanka. Our resulting research note focuses on Indonesia, Vietnam, Thailand, Malaysia, Hong Kong, and Singapore. We find that the immigration policies of the six countries vary across numerous dimensions as each country prioritizes attracting the talents, skills and resources it needs from abroad in different ways. These variations provide a range of examples that may be relevant to decision-makers in Sri Lanka. Additionally, we find an emerging pattern among the six countries where more developed economies tend to have more elaborate immigration systems and target a more diverse set of people. By looking at available data, we also confirm that more elaborate immigration systems are closely associated with more actual immigration, higher presence of foreign firms, and higher levels of foreign direct investment (FDI) among this group of countries. Based on the comparative analysis, together with the issues identified by the Department of Immigration and Emigration’s Gap Analysis, it is possible to identify a number of principles around which future immigration reform in Sri Lanka should be organized. 

About four years ago, at the onset of CID’s engagement in Albania, the country faced two issues that were threatening its macro-fiscal stability: a skyrocketing public debt and an insolvent, publicly-owned electricity distribution system that was plagued by theft and technical inefficiency. These two interlinked issues constrained both short-term economic growth and the ability of the country to develop new drivers of long-term growth. Over the subsequent years, the government was able to successfully respond to these constraints through a now-concluded IMF program and through a series of reforms in the electricity sector. With these constraints now relaxed, CID saw the need for a new analysis of the current and emerging constraints to growth in Albania. This analysis will guide future research and inform the government and non-government actors on emerging economic issues for prioritization.

While growth has accelerated over the last several years, to over 3% in 2016, this is not a pace that will allow for a rapid convergence of incomes and well-being in Albania with that of developed countries in Europe and elsewhere. This growth diagnostic attempts to identify the binding constraint to sustainably higher economic growth in Albania.

Recognizing that economic growth requires a number of complementary inputs, from roads to human capital to access to finance and many more, this report compares across eight potentially binding constraints using the growth diagnostic methodology to identify which constraint is most binding. This research was conducted throughout 2016, building on prior research conducted by CID and other organizations in Albania. Each constraint discussed in this report is cited by analysts within or outside the country as the biggest problem for growth in Albania. Through the growth diagnostic framework, we are able to evaluate the evidence and show that some constraints are more binding than others.

Despite serious issues in many other areas, we find that the binding constraint to stronger growth in Albania is a lack of productive knowhow. By “knowhow,” we mean the knowledge and skills needed to produce complex goods and services. Albania faces a unique knowhow constraint that is deeply rooted in its closed-off past, and the limited diversification that has taken place in the private sector can, in nearly all cases, be linked to distinct inflows of knowhow. The strongest sources of knowhow inflows into Albania have been through foreign direct investment and immigration, especially returning members of the diaspora who start new businesses or upgrade the productivity of existing businesses.

The evidence also points to particular failings in rule of law in Albania that play an important role in keeping Albania in a low-knowhow equilibrium. Weaknesses in Albania’s rule of law institutions, including frequent policy reversals and corruption in the bureaucracy and judiciary, increase the risk of investments and transaction costs of business. While it is difficult to separate perceptions from reality in this area, both perceptions of weak rule of law and actual rule of law failings appear to play critical roles in constraining more diversified investment in Albania. We find that while existing firms in Albania successfully navigate the rule of law weaknesses, and in some cases benefit from the system, potential new investors are acutely sensitive to rule of law issues.

The recent economic depression in Greece hit the population of Albanian migrants in Greece particularly hard, spurring a wave of return migration which increased the Albanian labor force by 5 percent in less than four years, between 2011 and 2014. We study how this return migration affected the employment chances and earnings of Albanians who never migrated. We find positive effects on the wages of low-skilled non-migrants and overall positive effects on employment. The gains partially offset the sharp drop in remittances in the observed period. An important part of the employment gains are concentrated in the agricultural sector, where most return migrants engage in self-employment and entrepreneurship. Businesses run by return migrants seem to pull Albanians from non-participation, unemployment and subsistence agriculture into commercial agriculture. 

When the Albanian Communist regime fell in 1991-92, many Albanians saw their future outside the borders of Albania. At that time in history, no one anticipated the scale of migration that would take place in the subsequent two decades. Today, one third of Albania’s 1991 population lives abroad. Most of these migrants live and work in neighboring Greece and Italy. The third most popular destination is however the United States. Besides this new wave of migrants, the US has an old Albanian diaspora–the offspring of migrants who came to the US between the First and the Second World War. This is what mainly gives rise to the second generation Albanian-Americans.

To the best of our knowledge, there is currently no systematic documentation of the socio-demographic and economic characteristics of the Albanian community in the US. To bridge this gap, we use data from the American Community Survey 2012 and analyze these characteristics. The profiling could be of interest for anyone who focuses on the Albanians abroad – the Government’s Programs dealing with diaspora and migration issues, researchers interested in migration questions, the Albanian Community Organizations in the US or the diaspora members themselves.

We find that the first and the second generation Albanian-Americans have distinctive features. The first generation (those who arrived after the fall of Communism) is more educated than the non-Albanian Americans with comparable demographics. This is particularly true of Albanian women. The education of the second generation resembles more closely the US population with comparable demographic characteristics.

Despite the qualification advantage, first generation Albanian-Americans earn much less than non-Albanian Americans with comparable socio-demographic characteristics. We find that this is not associated with being Albanian per se but with being an immigrant more generally. The migrant-native gap narrows down with time spent in the US.

An important channel through which the current gap is maintained is qualification mismatch. We observe that first generation Albanian-Americans are over-represented in occupations requiring little skills and under-represented in occupations requiring medium and high skills, in direct contrast to them being more educated than non-Albanians.

When it comes to the earnings of second generation Albanian-Americans, the situation is more nuanced. The low skilled Albanian-Americans earn significantly more, and the highly skilled Albanian-Americans earn significantly less than the non-Albanian Americans with comparable socio-demographic characteristics. We currently do not have a straightforward explanation for this pattern.

The Albanian population in the US is highly concentrated in a few states: New York, Michigan and Massachusetts account for almost 60% of all Albanian Americans. The community in Massachusetts is the best educated; best employed and has the highest earnings among the three, but is also the oldest one in terms of demographics.

However, due to its sheer size (over 60,000 Albanian-Americans), New York is the host of most Albanians with BA degree (about 10,000). New York also hosts the largest number of high earning Albanians (about 1,800 earn at least $100,000 a year).

This survey studies the ways in which active Albanian-Americans would like to engage in the development of their home countries. Its results will help us define the focus of the upcoming events organized under the Albanian Diaspora Program.

Between March 6th and March 22nd 2015, 1,468 Albanian-Americans took part in the online survey, of which 869 completed the survey. The results presented in this report are based on the answers of the latter group. The results of this survey do not represent the opinions of the general Albanian-American community, but rather the opinions of those who are more likely to engage in an Albanian Diaspora Program.

The survey was jointly prepared with the following Albanian-American organizations: Massachusetts Albanian American Society (MAAS/BESA), Albanian American Success Stories, Albanian Professionals in Washington D.C., Albanian Professionals and Entrepreneurs Network (APEN), Albanian-American Academy, Albanian American National Organization, and VATRA Washington D.C. Chapter. The survey was sponsored by the Open Society Foundations, as a part of the grant OR2013-10995 Economic Growth in Albania granted to the Center for International Development at Harvard University.