Publications

At a time of slow growth in several advanced and emerging countries, calls for more structural reforms are multiplying. However, estimations of the short- and medium-term impact of these reforms on GDP growth remain methodologically problematic and still highly controversial. We contribute to this literature by making a novel use of the non-parametric Synthetic Control Method to estimate the impact of 23 wide-reaching structural reform packages (including both real and financial sector measures) rolled out in 22 countries between 1961 and 2000. Our results suggest that, on average, reforms started having a significant positive effect on GDP per capita only after five years. Ten years after the beginning of a reform wave, GDP per capita was roughly 6 percentage points higher than the synthetic counterfactual scenario. However, average point estimates mask a large heterogeneity of outcomes. Benefits tended to materialise earlier, but overall to be more limited, in advanced economies than in emerging markets. These results are confirmed when we use a parametric dynamic panel fixed effect model to control for the rich dynamics of GDP, and are robust to a variety of alternative specifications, placebo and falsification tests, and to different indicators of reform. 

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 paper proposes an exchange rate regime for oil-exporting countries. The goal is to achieve the best of both flexible and fixed exchange rates. The arrangement is designed to deliver monetary policy that counteracts rather than exacerbates the effects of swings in the oil market, while yet offering the day-to-day transparency and predictability of a currency peg. The proposal is to peg the national currency to a basket, but a basket that includes not only the currencies of major trading partners (in particular, the dollar and the euro), but also the export commodity (oil). The plan is called Currency-plus-Commodity Basket (CCB). The paper begins by fleshing out the need for an innovative arrangement that allows accommodation to trade shocks. The analysis provides evidence from six Gulf countries that periods when their currencies were “undervalued”, in the sense that the actual foreign exchange value lay below what it would have been under the CCB proposal, were periods of overheating as reflected in high inflation and of external imbalance as reflected in high balance of payments surpluses. Conversely, periods when the currencies were “overvalued,” in the sense that their foreign exchange value lay above what it would have been under CCB, featured unusually low inflation and low balance of payments. These results are suggestive of the implication that the economy would have been more stable under CCB. The last section of the paper offers a practical blueprint for detailed implementation of the proposal.

Do export sanctions cause export deflection? Data on Iranian non-oil exporters between January 2006 and June 2011 shows that two-thirds of these exports were deflected to non-sanctioning countries after sanctions were imposed in 2008, and that at this time aggregate exports actually increased. Exporting firms reduced prices and increased quantities when exporting to a new destination, however, and suffered welfare losses as a result.

Are regions poor because they have bad institutions or are they poor because they are disconnected from the social channels through which technology diffuses? This paper tests institutional and technological theories of economic convergence by looking at income convergence across Colombian municipalities. We use formal employment and wage data to estimate growth of income per capita at the municipal level. In Colombia, municipalities are organized into 32 departamentos or states. We use cellphone metadata to cluster municipalities into 32 communication clusters, defined as a set of municipalities that are densely connected through phone calls. We show that these two forms of grouping municipalities are very different. We study the effect on municipal income growth of the characteristics of both the state and the communication cluster to which the municipality belongs. We find that belonging to a richer communication cluster accelerates convergence, while belonging to a richer state does not. This result is robust to controlling for state fixed effects when studying the impact of communication clusters and vice versa. The results point to the importance of social interactions rather than formal institutions in the growth process.

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. 

How important is working with people who complement one's skills? Using administrative data that record which of 491 educational tracks each worker in Sweden absolved, I quantify the educational fit among coworkers along two dimensions: coworker match and coworker substitutability. Complementary coworkers raise wages with a comparable factor as does a college degree, whereas working with close substitutes is associated with wage penalties. Moreover, this coworker fit does not only account for large portions of the urban and large-plant wage premiums, but the returns to own schooling and the urban wage premium are almost completely contingent on finding complementary coworkers.

Credit market activity in Albania has been sluggish in recent years in spite of low and declining interest rates. The economy lost its growth momentum after 2009. Investment and lending activity slowed down substantially despite low interest rates, relative macroeconomic resilience, and available capacity in the private sector to take on more debt. This study analyzes the supply (lenders’) and demand (borrowers’) sides of the market.

The reason behind the credit market failure is a supply-demand mismatch. Poor financial intermediation is the main problem on the supply side. Despite excess liquidity in the financial sector, banks are excessively risk-averse, bank practices and products are unsophisticated, and non-bank financial market is underdeveloped. Excessive risk aversion translates into tight credit standards, credit rationing and credit crunch for some economic sectors, in particular those dominated by SMEs. On the demand side, firms overall have a low appetite to expand, limited capacity to create bankable and financially viable projects, and are also constrained by infrastructural gaps and economic uncertainty. The mismatch results from the fragmentation of the credit market, with reliable borrowers from traditional sectors having easy access to finance, and other segments being almost fully deprived of credit.

Government and donor-led policies to mitigate the problem have had little success. Albania enjoys access to a number of domestic and external funding schemes primarily focused on alleviating funding constraints for credit-deprived sectors, but these programs have been ineffective. Further study is needed to understand the reasons behind the limited success of these programs.

A National Development Bank (NDB) could address some of the observed credit market challenges. While an NDB’s ability to directly resolve demand-side constraints would be limited, an NDB could effectively tackle supply-side constraints in the credit market as well as provide surveillance and collect information from the private sector, leverage technical assistance, and develop tailored financial products. Establishing an NDB should be considered carefully, taking into account functional, governance, funding, staffing and other risk factors.

In this paper, I question the idea that a country develops and democratizes merely by pursuing a model of deeper regional integration with more prosperous countries. I examine the case of Albania’s integration into the European Union to show that more often than not, transition reproduces hierarchies and inequities that usually underpin relations between a prosperous center and a backward periphery. Instead of being a cure, a solution to the political primitivism and underdevelopment, the story with Europeanization as a model of modernization suggests that despite noble intentions and goals, reforms in the name of the European Union end up foregrounding a security state apparatus, impose an ideological hegemony, and maintain a political culture that inhibits democratization, while discouraging and displacing the need for endogenous growth strategies.

In this paper, I question the idea that a country develops and democratizes merely by pursuing a model of deeper regional integration with more prosperous countries. I examine the case of Albania’s integration into the European Union to show that more often than not, transition reproduces hierarchies and inequities that usually underpin relations between a prosperous center and a backward periphery. Instead of being a cure, a solution to the political primitivism and underdevelopment, the story with Europeanization as a model of modernization suggests that despite noble intentions and goals, reforms in the name of the European Union end up foregrounding a security state apparatus, impose an ideological hegemony, and maintain a political culture that inhibits democratization, while discouraging and displacing the need for endogenous growth strategies.

Labor informality, associated with low productivity and lack of access to social security services, dogs developing countries around the world. Rates of labor (in)formality, however, vary widely within countries. This paper presents a new stylized fact, namely the systematic positive relationship between the rate of labor formality and the working age population in cities. We hypothesize that this phenomenon occurs through the emergence of complex economic activities: as cities become larger, labor is allocated into increasingly complex industries as firms combine complementary capabilities derived from a more diverse pool of workers. Using data from Colombia, we use a network-based model to show that the technological proximity (derived from worker transitions between industry pairs) of current industries in a city to potential new complex industries governs the growth of the formal sector in the city. The mechanism proposed has robust strong predictive power, and fares better than alternative explanations of (in)formality.

Cities thrive through the diversity of their occupants because the availability of complementary skills enables firms in the formal sector to grow, delivering increasingly sophisticated products and services. The appearance of new industries is path dependent in that new economic activities build on existing strengths, leading cities to both diversify and specialize in distinct areas. Hence, the location of necessary capabilities, and in particular the distance between firms and people with the skills they need, is key to the success of urban agglomerations. Using data for Colombia, this paper assesses the extent to which cities benefit from skills and capabilities available in their surrounding catchment areas. Without assuming a prioria a definition for cities, we sequentially agglomerate the 96 urban municipalities larger than 50,000 people based on commuting time. We show that a level of agglomeration equivalent to between 45 and 75 minutes of commuting time, corresponding to between 62 and 43 cities, maximizes the impact that the availability of skills has on the ability of agglomerations to generate formal employment. Smaller urban municipalities stand to gain more in the process of agglomeration. A range of policy implications are discussed.

The prevalence of many urban phenomena changes systematically with population size¹ . We propose a theory that unifies models of economic complexity^2,3 and cultural evolution⁴ to derive urban scaling. The theory accounts for the difference in scaling exponents and average prevalence across phenomena, as well as the difference in the variance within phenomena across cities of similar size. The central ideas are that a number of necessary complementary factors must be simultaneously present for a phenomenon to occur, and that the diversity of factors is logarithmically related to population size. The model reveals that phenomena that require more factors will be less prevalent, scale more superlinearly and show larger variance across cities of similar size. The theory applies to data on education, employment, innovation, disease and crime, and it entails the ability to predict the prevalence of a phenomenon across cities, given information about the prevalence in a single city.

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