Evidence-based policy making

Developing countries are often seen as unquestionable beneficiaries in the phenomenal rise of global value chains in international trade. Offshoring—the cross-border trade in intermediate goods and services which facilitate country-level specialization in subsets of production tasks—enables an early start in global trade integration even when the requisite technology and knowhow for cost-effective production from scratch to finish are not yet acquired. A growing economics literature suggests a more nuanced view, however. Policymakers should be mindful of issues related to inequality across firms and wages, labor standards, and effects of trade policy.

Remote work and digital collaborations are prevalent in the business world and many employees use digital communication tools routinely in their jobs. Communication shifts from face-to-face meetings to asynchronous formats using text, audio, or video messages. This shift leads to a reduction of information and signals leaders can send and receive. Do classical leadership and communication techniques such as transformational or charismatic leadership signaling still work in those online settings or do leaders have to rely on transactional leadership techniques such as contingent reward and punishment tools in the remote setting?

The IT revolution has had dramatic effects on jobs and the labor market. Many routine manual and cognitive tasks have been automated, replacing workers. By contrast, new technologies complement and create new non-routine cognitive and social tasks, making work in such tasks more productive, and creating new jobs. This has polarized labor markets: while low-skill jobs stagnated, there are fewer and lower-paid jobs for middle-skill workers, and higher pay for high-skill workers, increasing wage inequality. Advances in AI may accelerate computers’ ability to perform cognitive tasks, heightening concerns about future automation of even high-skill jobs.

New Zealand is a small open economy, with large international labor flows and skilled immigrants. After the global financial crisis (GFC) employment took four years to recover, while unemployment took more than a decade to return to pre-crisis levels. Māori, Pasifika, and young workers were worst affected. The Covid-19 pandemic saw employment decline and unemployment rise but this was reversed within a few quarters. However, the long-term impact of the pandemic remains uncertain.

There are a myriad of economic and non-economic forces behind the decision to migrate. Migrants can be “pushed” out of their home countries due to deteriorating economic conditions or political unrest. Conversely, migrants are often “pulled” into destinations that offer high wages, good health care, strong educational systems, or linguistic proximity. In making their decision, individuals compare the net benefits of migration to the costs. By better understanding what forces affect specific migrant flows (e.g. demographic characteristics, migrant networks, and economic conditions), policymakers can set policy to target (or reduce) certain types of migrants.

Many countries experience gender differences, of various magnitudes, in the time devoted to paid work (e.g. market work time) and unpaid work (e.g. housework and childcare). Since household responsibilities influence the participation of women, especially mothers, in the labor market, the unequal sharing of unpaid work, with women bearing the brunt of housework and childcare, is one of the main drivers of gender inequality in the labor market. Understanding the factors behind these gender inequalities is crucial for constructing policies aimed at promoting gender equality and combating gender-based discrimination.

Numerous studies have investigated whether the provision and generosity of parental leave affects the employment and career prospects of women. Parental leave systems typically provide either short unpaid leave mandated by the firm, as in the US, or more generous and universal leave mandated by the government, as in Canada and several European countries. Key economic policy questions include whether, at the macro level, female employment rates have increased due to parental leave policies; and, at the micro level, whether the probability of returning to work and career prospects have increased for mothers after childbirth.

An extensive program of economic liberalization reforms, even when it generates positive outcomes, does not automatically generate support for further reforms. Societies respond with strong support only after experiencing the effects of reversing these reforms (i.e. corruption, inequality of opportunity). This point is illustrated through the example of the post-communist transformation in Eastern Europe and Central Asia—arguably a context where the end point of reforms was never clearly defined, and even successful reforms are now associated with a degree of reform suspicion.